{"slug":"muratcankoylan-context-fundamentals","name":"context-fundamentals","description":"This skill should be used to explain or reason about the foundational concepts of context engineering: what context is, the anatomy of a context window, how attention mechanics work, the U-shaped attention curve, why context quality matters more than quantity, and the mental models needed to interpret every other context-engineering decision. Use this for conceptual explanation, onboarding, and background reading. Route operational work to the specialized skills: debugging attention failures goes to context-degradation, token-efficiency work goes to context-optimization, conversation summarization goes to context-compression, and project-shape decisions go to project-development.","long_description":"---\nname: context-fundamentals\ndescription: \"This skill should be used to explain or reason about the foundational concepts of context engineering: what context is, the anatomy of a context window, how attention mechanics work, the U-shaped attention curve, why context quality matters more than quantity, and the mental models needed to interpret every other context-engineering decision. Use this for conceptual explanation, onboarding, and background reading. Route operational work to the specialized skills: debugging attention failures goes to context-degradation, token-efficiency work goes to context-optimization, conversation summarization goes to context-compression, and project-shape decisions go to project-development.\"\n---\n\n# Context Engineering Fundamentals\n\nContext is the complete state available to a language model at inference time: system instructions, tool definitions, retrieved documents, message history, and tool outputs. Context engineering is the discipline of curating the smallest high-signal token set that maximizes the likelihood of desired outcomes.\n\nThis skill is the conceptual foundation that every other skill in the collection builds on. It explains what context is, how attention mechanics work, why context quality matters more than quantity, and the mental models needed to interpret every other context-engineering decision. It does not own operational work: debugging attention failures belongs to `context-degradation`, token-efficiency tactics belong to `context-optimization`, conversation summarization belongs to `context-compression`, file-based offloading belongs to `filesystem-context`, and project-shape decisions belong to `project-development`.\n\n## When to Activate\n\nActivate this skill when the work is conceptual:\n\n- Explaining what context is and how attention mechanics constrain agent behavior.\n- Onboarding new contributors who need the mental models before diving into operational skills.\n- Reasoning about a context-related design decision from first principles (what does this constraint mean, why does this trade-off exist) before picking a specific tactic.\n- Writing or reviewing documentation that needs to ground operational guidance in the underlying mechanics.\n\nDo not activate this skill for operational work. The specialized skills handle the doing:\n\n- Diagnosing lost-in-middle, context poisoning, or attention failures: `context-degradation`.\n- Reducing token cost via masking, partitioning, prefix caching, budgets: `context-optimization`.\n- Compressing a long session into a handoff summary: `context-compression`.\n- Offloading large tool outputs or maintaining a durable scratchpad: `filesystem-context`.\n- Deciding the shape of an LLM project or pipeline: `project-development`.\n\n## Core Concepts\n\nTreat context as a finite attention budget, not a storage bin. Every token added competes for the model's attention and depletes a budget that cannot be refilled mid-inference. The engineering problem is maximizing utility per token against three constraints: the hard token limit, the softer effective-capacity ceiling, and the U-shaped attention curve that penalizes information placed in the middle of context (claim-context-degradation-lost-middle-ruler).\n\nApply four principles when assembling context:\n\n1. **Informativity over exhaustiveness** — include only what matters for the current decision; design systems that can retrieve additional information on demand.\n2. **Position-aware placement** — place critical constraints at the beginning and end of context because long-context evaluations show middle-position information is less reliably recovered than edge-position information (claim-context-degradation-lost-middle-ruler).\n3. **Progressive disclosure** — load skill names and summaries at startup; load full content only when a skill activates for a specific task.\n4. **Iterative curation** — context engineering is not a one-time prompt-writing exercise but an ongoing discipline applied every time content is passed to the model.\n\n## Detailed Topics\n\n### The Anatomy of Context\n\n**System Prompts**\nOrganize system prompts into distinct sections using XML tags or Markdown headers (background, instructions, tool guidance, output format). System prompts persist throughout the conversation, so place the most critical constraints at the beginning and end where attention is strongest.\n\nCalibrate instruction altitude to balance two failure modes. Too-low altitude hardcodes brittle logic that breaks when conditions shift. Too-high altitude provides vague guidance that fails to give concrete signals for desired behavior. Aim for heuristic-driven instructions: specific enough to guide behavior, flexible enough to generalize — for example, numbered steps with room for judgment at each step.\n\nStart minimal, then add instructions reactively based on observed failure modes rather than preemptively stuffing edge cases. Curate diverse, canonical few-shot examples that portray expected behavior instead of listing every possible scenario.\n\n**Tool Definitions**\nWrite tool descriptions that answer three questions: what the tool does, when to use it, and what it returns. Include usage context, parameter defaults, and error cases — agents cannot disambiguate tools that a human engineer cannot disambiguate either.\n\nKeep the tool set minimal. Consolidate overlapping tools because bloated tool sets create ambiguous decision points and consume disproportionate context after JSON serialization (tool schemas typically inflate 2-3x compared to equivalent plain-text descriptions).\n\n**Retrieved Documents**\nMaintain lightweight identifiers (file paths, stored queries, web links) and load data into context dynamically using just-in-time retrieval. This mirrors human cognition — maintain an index, not a copy. Strong identifiers (e.g., `customer_pricing_rates.json`) let agents locate relevant files even without search tools; weak identifiers (e.g., `data/file1.json`) force unnecessary loads.\n\nWhen chunking large documents, split at natural semantic boundaries (section headers, paragraph breaks) rather than arbitrary character limits that sever mid-concept.\n\n**Message History**\nMessage history serves as the agent's scratchpad memory for tracking progress, maintaining task state, and preserving reasoning across turns. For long-running tasks, it can grow to dominate context usage — monitor and apply compaction before it crowds out active instructions.\n\nCyclically refine history: once a tool has been called deep in the conversation, the raw result rarely needs to remain verbatim. Replace stale tool outputs with compact summaries or references to reduce low-signal bulk.\n\n**Tool Outputs**\nTool outputs often dominate context in agent trajectories (claim-context-optimization-tool-output-dominance). Apply observation masking: replace verbose outputs with compact references once the agent has processed the result. Retain only the most recently relevant file contents; compress or evict older ones.\n\n### Context Windows and Attention Mechanics\n\n**The Attention Budget**\nFor n tokens, the attention mechanism computes n-squared pairwise relationships. As context grows, the model's ability to maintain these relationships degrades — not as a hard cliff but as a performance gradient. Models trained predominantly on shorter sequences have fewer specialized parameters for context-wide dependencies, creating an effective ceiling well below the nominal window size.\n\nDesign for this gradient: assume effective capacity is materially below the advertised window until measured on the target workload. Large nominal context windows do not remove the need for task-specific degradation tests (claim-context-degradation-lost-middle-ruler).\n\n**Position Encoding Limits**\nPosition encoding interpolation extends sequence handling beyond training lengths but introduces degradation in positional precision. Expect reduced accuracy for information retrieval and long-range reasoning at extended contexts compared to performance on shorter inputs.\n\n**Progressive Disclosure in Practice**\nImplement progressive disclosure at three levels:\n\n1. **Skill selection** — load only names and descriptions at startup; activate full skill content on demand.\n2. **Document loading** — load summaries first; fetch detail sections only when the task requires them.\n3. **Tool result retention** — keep recent results in full; compress or evict older results.\n\nKeep the boundary crisp: if a skill or document is activated, load it fully rather than partially — partial loads create confusing gaps that degrade reasoning quality.\n\n### Context Quality Versus Quantity\n\nReject the assumption that larger context windows solve memory problems. Processing cost grows disproportionately with context length — not just linear cost scaling, but degraded model performance beyond effective capacity thresholds. Long inputs remain expensive even with prefix caching.\n\nApply the signal-density test: for each piece of context, ask whether removing it would change the model's output. If not, remove it. Redundant content does not merely waste tokens — it actively dilutes attention from high-signal content.\n\n## Practical Guidance\n\nThis section provides conceptual application advice. Pointers to operational skills are explicit.\n\n### Reasoning About a Context Decision\n\nWhen a context-related design decision needs to be made, separate the conceptual question from the operational one. The conceptual question is \"what does this mean and why does it matter\"; the operational question is \"what specific technique do we apply.\" Use this skill to answer the first; route to the specialized skill that owns the second.\n\nFor example, deciding whether to summarize a long agent session has two parts: (1) why summarization is needed at all (attention budget is finite, U-shaped curve degrades middle content, signal density matters more than volume - this skill) and (2) what compression strategy preserves the right state and at what utilization threshold to trigger it (`context-compression`).\n\n### Reading Order For New Contributors\n\nA contributor coming to context engineering for the first time should read:\n\n1. This skill, to internalize the attention-budget framing and the U-shaped curve.\n2. `context-degradation`, to see what context failures look like in practice and how to diagnose them.\n3. Two or three of `context-optimization`, `context-compression`, `filesystem-context`, `memory-systems` depending on which operational concern is most relevant to their project.\n\nSkipping step 1 produces operators who apply techniques without understanding why; skipping the operational skills produces theorists who do not know which technique fits which failure mode.\n\n## Examples\n\n**Example 1: Organizing System Prompts**\n\nIllustrates the conceptual point that critical constraints belong at attention-favored positions (beginning and end), and that explicit section boundaries help the model parse the prompt:\n\n```markdown\n<BACKGROUND_INFORMATION>\nYou are a Python expert helping a development team.\nCurrent project: Data processing pipeline in Python 3.9+\n</BACKGROUND_INFORMATION>\n\n<INSTRUCTIONS>\n- Write clean, idiomatic Python code\n- Include type hints for function signatures\n- Add docstrings for public functions\n- Follow PEP 8 style guidelines\n</INSTRUCTIONS>\n\n<OUTPUT_DESCRIPTION>\nProvide code blocks with syntax highlighting.\nExplain non-obvious decisions in comments.\n</OUTPUT_DESCRIPTION>\n```\n\n**Example 2: The Attention Budget As A Mental Model**\n\nA large-context model does not have an equally attended context. Effective capacity is workload-specific, and the U-shaped curve penalizes information placed in the middle. When deciding how much of an upstream knowledge base to load, this is the mental model: do not ask \"will it fit,\" ask \"will the model still attend to the parts that matter.\"\n\nThe corresponding operational question (which technique should reduce the load) belongs to `context-optimization`.\n\n## Gui","tagline":"This skill should be used to explain or reason about the foundational concepts of context engineering: what context is, the anatomy of a context window, how attention mechanics work, the U-shaped attention curve, why context quality matters more than quantity, and the mental mode","category":"research","tags":["agent-skill"],"author":"muratcankoylan","verified":false,"attribution":{"status":"registry_indexed","statusLabel":"Registry indexed","shortLabel":"REGISTRY INDEXED","sourceLabel":"github candidate review","sourceDetail":"muratcankoylan/Agent-Skills-for-Context-Engineering","creatorName":"muratcankoylan","creatorUrl":"https://github.com/muratcankoylan","sourceUrl":"https://github.com/muratcankoylan/Agent-Skills-for-Context-Engineering/tree/main/skills/context-fundamentals","indexedBy":"OpenAgentSkill community index","claimUrl":"https://www.openagentskill.com/skills/muratcankoylan-context-fundamentals#claim-this-skill","claimCta":"Claim this skill","trustNote":"This listing was indexed from public sources and is not marked official until a maintainer claim is approved.","publicNote":"Attribution links to the public repository or creator profile. Creators can claim the listing to update ownership signals."},"stats":{"stars":17901,"forks":1480,"verified_installs":0,"successful_runs":0,"total_outcomes":0,"rating":0,"review_count":0,"quality_score":52.87},"quality":{"score":89,"tier":"excellent","label":"Excellent","summary":"High-confidence pick with strong adoption and healthy maintenance signals.","signals":[{"label":"GitHub stars","value":"18K","tone":"positive"},{"label":"Freshness","value":"20d ago","tone":"positive"},{"label":"Install ready","value":"Yes","tone":"positive"},{"label":"License","value":"MIT","tone":"neutral"}],"warnings":["SKILL.md uses internal references like 'claim-context-degradation-lost-middle-ruler' without explanation or a link, which may confuse readers not familiar with the broader skill collection."]},"trust":{"version":"trust-score-v5","score":66,"base_score":74,"outcome_confidence":0,"tier":"review","label":"Sandbox only","summary":"Useful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.","recommendedAction":"Run only in a sandbox and compare close alternatives before using it for real work.","decision":{"install_policy":"human_review_before_install","auto_install_allowed":false,"human_review_required":true,"sandbox_first":true,"agent_action":"Compare alternatives before installing.","reasoning":["66/100 Trust Score v5","74/100 Trust Score v4 baseline","Needs more real agent outcomes before unattended install","Install path is available","Review before production"],"review_required_when":["The workspace contains production secrets, payments, private customer data, or irreversible actions.","The install command requests shell, network, credential, database, or broad filesystem access.","Outcome evidence is missing, recently failed, or required human review.","Production credentials, payments, or irreversible account changes without explicit human review","Sensitive private data before reviewing repository code, license, and permission surface","Automatic installation in a production workspace"]},"dimensions":[{"id":"github_adoption","label":"GitHub adoption","score":100,"weight":0.13,"status":"pass","detail":"18K GitHub stars"},{"id":"repo_activity","label":"Stars/forks activity","score":97,"weight":0.08,"status":"pass","detail":"18K stars, 1.5K forks; issue activity unavailable in current metadata"},{"id":"maintenance","label":"Recent maintenance","score":100,"weight":0.14,"status":"pass","detail":"20d since push"},{"id":"license","label":"License clarity","score":86,"weight":0.09,"status":"pass","detail":"MIT"},{"id":"documentation","label":"README/SKILL.md completeness","score":86,"weight":0.14,"status":"pass","detail":"Metadata includes enough usage and workflow context"},{"id":"dependency_risk","label":"Dependency/runtime risk","score":64,"weight":0.12,"status":"info","detail":"credential or environment access, network or browser surface"},{"id":"installability","label":"Install availability","score":92,"weight":0.1,"status":"pass","detail":"npx skills add muratcankoylan/Agent-Skills-for-Context-Engineering --skill context-fundamentals"},{"id":"install_safety","label":"Install command safety","score":92,"weight":0.1,"status":"pass","detail":"standard package or runtime install path"},{"id":"permission_surface","label":"Permission surface","score":46,"weight":0.07,"status":"warn","detail":"secrets or environment access, filesystem or document access"},{"id":"repository","label":"Repository evidence","score":86,"weight":0.04,"status":"pass","detail":"https://github.com/muratcankoylan/Agent-Skills-for-Context-Engineering/tree/main/skills/context-fundamentals"},{"id":"review_status","label":"Review status","score":66,"weight":0.05,"status":"info","detail":"AI review data available"},{"id":"agent_outcomes","label":"Agent Proven outcomes","score":54,"weight":0.13,"status":"info","detail":"No agent outcome data yet"}],"checks":[{"status":"pass","label":"GitHub adoption","detail":"18K GitHub stars"},{"status":"pass","label":"Stars/forks activity","detail":"18K stars, 1.5K forks; issue activity unavailable in current metadata"},{"status":"pass","label":"Recent maintenance","detail":"20d since push"},{"status":"pass","label":"License clarity","detail":"MIT"},{"status":"pass","label":"README/SKILL.md completeness","detail":"Metadata includes enough usage and workflow context"},{"status":"info","label":"Dependency/runtime risk","detail":"credential or environment access, network or browser surface"},{"status":"pass","label":"Install availability","detail":"npx skills add muratcankoylan/Agent-Skills-for-Context-Engineering --skill context-fundamentals"},{"status":"pass","label":"Install command safety","detail":"standard package or runtime install path"},{"status":"warn","label":"Permission surface","detail":"secrets or environment access, filesystem or document access"},{"status":"pass","label":"Repository evidence","detail":"https://github.com/muratcankoylan/Agent-Skills-for-Context-Engineering/tree/main/skills/context-fundamentals"},{"status":"info","label":"Review status","detail":"AI review data available"},{"status":"info","label":"Agent Proven outcomes","detail":"No agent outcome data yet"},{"status":"warn","label":"Ownership","detail":"No approved owner claim yet"},{"status":"pass","label":"OpenAgentSkill usage","detail":"2 views, 0 install copies"},{"status":"info","label":"Agent outcomes","detail":"No agent outcome data yet"}],"strengths":["AI review approved","Install path is available","Repository evidence is available","Recently maintained repository","Large GitHub adoption signal","Install command has no obvious high-risk pattern","Outcome loop is ready but needs first real agent run"],"warnings":["SKILL.md uses internal references like 'claim-context-degradation-lost-middle-ruler' without explanation or a link, which may confuse readers not familiar with the broader skill collection.","Quality score needs review","Permission surface needs review: secrets or environment access, filesystem or document access","Permission surface: secrets or environment access, filesystem or document access","No real agent outcome reports yet","Human review required before unattended installation"],"evidence":{"stars":"18K GitHub stars","repoActivity":"18K stars, 1.5K forks","lastPushed":"20d since push","license":"MIT","repository":"https://github.com/muratcankoylan/Agent-Skills-for-Context-Engineering/tree/main/skills/context-fundamentals","install":"npx skills add muratcankoylan/Agent-Skills-for-Context-Engineering --skill context-fundamentals","installSafety":"standard package or runtime install path","permissionSurface":"secrets or environment access, filesystem or document access","documentation":"Strong README/SKILL.md context","agentOutcomes":"No agent outcome data yet","agentProvenScore":0,"outcomeConfidence":"0%","installPolicy":"human_review_before_install"},"installReadiness":{"ready":true,"command":"npx skills add muratcankoylan/Agent-Skills-for-Context-Engineering --skill context-fundamentals","policy":"human_review_before_install","label":"Human review before install","notes":["Install path is available","Repository evidence is available","License is declared","No Agent Proven outcome evidence yet","20d since push","Trust Score v5 requires review or sandbox-only use before install."]},"agentCompatibility":["Codex","Claude Code","Cursor","OpenAgentSkill CLI"],"riskSummary":{"level":"medium","label":"Review before production","notes":["SKILL.md uses internal references like 'claim-context-degradation-lost-middle-ruler' without explanation or a link, which may confuse readers not familiar with the broader skill collection.","Quality score needs review","Permission surface needs review: secrets or environment access, filesystem or document access","Permission surface: secrets or environment access, filesystem or document access"]},"outcomeEvidence":{"total":0,"successes":0,"failures":0,"notRelevant":0,"successRate":null,"installAttempts":0,"riskBlocked":0,"setupRequired":0,"installSuccessRate":null,"avgOutputQuality":null,"avgTimeToUsefulMs":null,"productionOutcomes":0,"humanReviewRequired":0,"recentSuccessRate":null,"recentFailureRate":null,"uniqueAgents":0,"agentProvenScore":0,"agentProvenLabel":"Needs first agent run","lastOutcomeAt":null,"label":"No agent outcome data yet"},"autoInstall":{"allowed":false,"sandboxRequired":true,"policy":"human_review_before_install","reason":"Compare alternatives before installing."},"outcome_loop":{"version":"openagentskill-agent-outcome-v4","required_after_install":true,"endpoint":"/api/agent/outcome","method":"POST","event_id_source":"feedback.event_id, install_receipt.resolve_event_id, or decision_packet.outcome_feedback.event_id","expected_outcomes":["success","failed","not_relevant","blocked_by_risk","setup_required"],"required_fields":["event_id","skill_slug","task"],"quality_fields":["task_success","output_quality","error_type","human_review_required","used_in_production","workspace","evidence_url","time_to_useful_ms","source_version"],"ranking_inputs_updated":["Trust Score v5 outcome confidence","Agent Proven Score","Resolve ranking task-fit evidence","Skill detail machine-readable metadata","Outcome leaderboard"]},"agent_contract":{"suited_tasks":["research","agent-skill"],"suited_agents":["Codex","Claude Code","Cursor","OpenAgentSkill CLI"],"install_command":"npx skills add muratcankoylan/Agent-Skills-for-Context-Engineering --skill context-fundamentals","trust_score":66,"trust_version":"trust-score-v5","risk_level":"medium","do_not_use_when":["Production credentials, payments, or irreversible account changes without explicit human review","Sensitive private data before reviewing repository code, license, and permission surface","Automatic installation in a production workspace"],"before_install":["Read the audit page and machine-readable metadata.","Confirm the install command, license, and permission surface fit the workspace.","Get explicit human approval or choose an alternative before installing."],"after_run":["Report the outcome to /api/agent/outcome using the resolve event id.","Include output_quality, workspace, human_review_required, and evidence_url when available.","Re-resolve before broad production rollout."]},"bestFor":["research","agent-skill"],"doNotUseFor":["Production credentials, payments, or irreversible account changes without explicit human review","Sensitive private data before reviewing repository code, license, and permission surface","Automatic installation in a production workspace"],"knownRisks":["SKILL.md uses internal references like 'claim-context-degradation-lost-middle-ruler' without explanation or a link, which may confuse readers not familiar with the broader skill collection.","Quality score needs review","Permission surface needs review: secrets or environment access, filesystem or document access","Permission surface: secrets or environment access, filesystem or document access"],"backward_compatible":{"trust_score_v4":{"version":"trust-score-v4","score":74,"tier":"strong","label":"Strong shortlist","summary":"Good trust signals with a few areas worth checking before rollout."}}},"trust_score_v5":{"version":"trust-score-v5","score":66,"base_score":74,"outcome_confidence":0,"tier":"review","label":"Sandbox only","summary":"Useful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.","recommendedAction":"Run only in a sandbox and compare close alternatives before using it for real work.","decision":{"install_policy":"human_review_before_install","auto_install_allowed":false,"human_review_required":true,"sandbox_first":true,"agent_action":"Compare alternatives before installing.","reasoning":["66/100 Trust Score v5","74/100 Trust Score v4 baseline","Needs more real agent outcomes before unattended install","Install path is available","Review before production"],"review_required_when":["The workspace contains production secrets, payments, private customer data, or irreversible actions.","The install command requests shell, network, credential, database, or broad filesystem access.","Outcome evidence is missing, recently failed, or required human review.","Production credentials, payments, or irreversible account changes without explicit human review","Sensitive private data before reviewing repository code, license, and permission surface","Automatic installation in a production workspace"]},"dimensions":[{"id":"github_adoption","label":"GitHub adoption","score":100,"weight":0.13,"status":"pass","detail":"18K GitHub stars"},{"id":"repo_activity","label":"Stars/forks activity","score":97,"weight":0.08,"status":"pass","detail":"18K stars, 1.5K forks; issue activity unavailable in current metadata"},{"id":"maintenance","label":"Recent maintenance","score":100,"weight":0.14,"status":"pass","detail":"20d since push"},{"id":"license","label":"License clarity","score":86,"weight":0.09,"status":"pass","detail":"MIT"},{"id":"documentation","label":"README/SKILL.md completeness","score":86,"weight":0.14,"status":"pass","detail":"Metadata includes enough usage and workflow context"},{"id":"dependency_risk","label":"Dependency/runtime risk","score":64,"weight":0.12,"status":"info","detail":"credential or environment access, network or browser surface"},{"id":"installability","label":"Install availability","score":92,"weight":0.1,"status":"pass","detail":"npx skills add muratcankoylan/Agent-Skills-for-Context-Engineering --skill context-fundamentals"},{"id":"install_safety","label":"Install command safety","score":92,"weight":0.1,"status":"pass","detail":"standard package or runtime install path"},{"id":"permission_surface","label":"Permission surface","score":46,"weight":0.07,"status":"warn","detail":"secrets or environment access, filesystem or document access"},{"id":"repository","label":"Repository evidence","score":86,"weight":0.04,"status":"pass","detail":"https://github.com/muratcankoylan/Agent-Skills-for-Context-Engineering/tree/main/skills/context-fundamentals"},{"id":"review_status","label":"Review status","score":66,"weight":0.05,"status":"info","detail":"AI review data available"},{"id":"agent_outcomes","label":"Agent Proven outcomes","score":54,"weight":0.13,"status":"info","detail":"No agent outcome data yet"}],"checks":[{"status":"pass","label":"GitHub adoption","detail":"18K GitHub stars"},{"status":"pass","label":"Stars/forks activity","detail":"18K stars, 1.5K forks; issue activity unavailable in current metadata"},{"status":"pass","label":"Recent maintenance","detail":"20d since push"},{"status":"pass","label":"License clarity","detail":"MIT"},{"status":"pass","label":"README/SKILL.md completeness","detail":"Metadata includes enough usage and workflow context"},{"status":"info","label":"Dependency/runtime risk","detail":"credential or environment access, network or browser surface"},{"status":"pass","label":"Install availability","detail":"npx skills add muratcankoylan/Agent-Skills-for-Context-Engineering --skill context-fundamentals"},{"status":"pass","label":"Install command safety","detail":"standard package or runtime install path"},{"status":"warn","label":"Permission surface","detail":"secrets or environment access, filesystem or document access"},{"status":"pass","label":"Repository evidence","detail":"https://github.com/muratcankoylan/Agent-Skills-for-Context-Engineering/tree/main/skills/context-fundamentals"},{"status":"info","label":"Review status","detail":"AI review data available"},{"status":"info","label":"Agent Proven outcomes","detail":"No agent outcome data yet"},{"status":"warn","label":"Ownership","detail":"No approved owner claim yet"},{"status":"pass","label":"OpenAgentSkill usage","detail":"2 views, 0 install copies"},{"status":"info","label":"Agent outcomes","detail":"No agent outcome data yet"}],"strengths":["AI review approved","Install path is available","Repository evidence is available","Recently maintained repository","Large GitHub adoption signal","Install command has no obvious high-risk pattern","Outcome loop is ready but needs first real agent run"],"warnings":["SKILL.md uses internal references like 'claim-context-degradation-lost-middle-ruler' without explanation or a link, which may confuse readers not familiar with the broader skill collection.","Quality score needs review","Permission surface needs review: secrets or environment access, filesystem or document access","Permission surface: secrets or environment access, filesystem or document access","No real agent outcome reports yet","Human review required before unattended installation"],"evidence":{"stars":"18K GitHub stars","repoActivity":"18K stars, 1.5K forks","lastPushed":"20d since push","license":"MIT","repository":"https://github.com/muratcankoylan/Agent-Skills-for-Context-Engineering/tree/main/skills/context-fundamentals","install":"npx skills add muratcankoylan/Agent-Skills-for-Context-Engineering --skill context-fundamentals","installSafety":"standard package or runtime install path","permissionSurface":"secrets or environment access, filesystem or document access","documentation":"Strong README/SKILL.md context","agentOutcomes":"No agent outcome data yet","agentProvenScore":0,"outcomeConfidence":"0%","installPolicy":"human_review_before_install"},"installReadiness":{"ready":true,"command":"npx skills add muratcankoylan/Agent-Skills-for-Context-Engineering --skill context-fundamentals","policy":"human_review_before_install","label":"Human review before install","notes":["Install path is available","Repository evidence is available","License is declared","No Agent Proven outcome evidence yet","20d since push","Trust Score v5 requires review or sandbox-only use before install."]},"agentCompatibility":["Codex","Claude Code","Cursor","OpenAgentSkill CLI"],"riskSummary":{"level":"medium","label":"Review before production","notes":["SKILL.md uses internal references like 'claim-context-degradation-lost-middle-ruler' without explanation or a link, which may confuse readers not familiar with the broader skill collection.","Quality score needs review","Permission surface needs review: secrets or environment access, filesystem or document access","Permission surface: secrets or environment access, filesystem or document access"]},"outcomeEvidence":{"total":0,"successes":0,"failures":0,"notRelevant":0,"successRate":null,"installAttempts":0,"riskBlocked":0,"setupRequired":0,"installSuccessRate":null,"avgOutputQuality":null,"avgTimeToUsefulMs":null,"productionOutcomes":0,"humanReviewRequired":0,"recentSuccessRate":null,"recentFailureRate":null,"uniqueAgents":0,"agentProvenScore":0,"agentProvenLabel":"Needs first agent run","lastOutcomeAt":null,"label":"No agent outcome data yet"},"autoInstall":{"allowed":false,"sandboxRequired":true,"policy":"human_review_before_install","reason":"Compare alternatives before installing."},"outcome_loop":{"version":"openagentskill-agent-outcome-v4","required_after_install":true,"endpoint":"/api/agent/outcome","method":"POST","event_id_source":"feedback.event_id, install_receipt.resolve_event_id, or decision_packet.outcome_feedback.event_id","expected_outcomes":["success","failed","not_relevant","blocked_by_risk","setup_required"],"required_fields":["event_id","skill_slug","task"],"quality_fields":["task_success","output_quality","error_type","human_review_required","used_in_production","workspace","evidence_url","time_to_useful_ms","source_version"],"ranking_inputs_updated":["Trust Score v5 outcome confidence","Agent Proven Score","Resolve ranking task-fit evidence","Skill detail machine-readable metadata","Outcome leaderboard"]},"agent_contract":{"suited_tasks":["research","agent-skill"],"suited_agents":["Codex","Claude Code","Cursor","OpenAgentSkill CLI"],"install_command":"npx skills add muratcankoylan/Agent-Skills-for-Context-Engineering --skill context-fundamentals","trust_score":66,"trust_version":"trust-score-v5","risk_level":"medium","do_not_use_when":["Production credentials, payments, or irreversible account changes without explicit human review","Sensitive private data before reviewing repository code, license, and permission surface","Automatic installation in a production workspace"],"before_install":["Read the audit page and machine-readable metadata.","Confirm the install command, license, and permission surface fit the workspace.","Get explicit human approval or choose an alternative before installing."],"after_run":["Report the outcome to /api/agent/outcome using the resolve event id.","Include output_quality, workspace, human_review_required, and evidence_url when available.","Re-resolve before broad production rollout."]},"bestFor":["research","agent-skill"],"doNotUseFor":["Production credentials, payments, or irreversible account changes without explicit human review","Sensitive private data before reviewing repository code, license, and permission surface","Automatic installation in a production workspace"],"knownRisks":["SKILL.md uses internal references like 'claim-context-degradation-lost-middle-ruler' without explanation or a link, which may confuse readers not familiar with the broader skill collection.","Quality score needs review","Permission surface needs review: secrets or environment access, filesystem or document access","Permission surface: secrets or environment access, filesystem or document access"],"backward_compatible":{"trust_score_v4":{"version":"trust-score-v4","score":74,"tier":"strong","label":"Strong shortlist","summary":"Good trust signals with a few areas worth checking before rollout."}}},"trust_score_v4":{"version":"trust-score-v4","score":74,"tier":"strong","label":"Strong shortlist","summary":"Good trust signals with a few areas worth checking before rollout.","recommendedAction":"Test in a sandbox workflow and compare its install path with close alternatives.","dimensions":[{"id":"github_adoption","label":"GitHub adoption","score":100,"weight":0.13,"status":"pass","detail":"18K GitHub stars"},{"id":"repo_activity","label":"Stars/forks activity","score":97,"weight":0.08,"status":"pass","detail":"18K stars, 1.5K forks; issue activity unavailable in current metadata"},{"id":"maintenance","label":"Recent maintenance","score":100,"weight":0.14,"status":"pass","detail":"20d since push"},{"id":"license","label":"License clarity","score":86,"weight":0.09,"status":"pass","detail":"MIT"},{"id":"documentation","label":"README/SKILL.md completeness","score":86,"weight":0.14,"status":"pass","detail":"Metadata includes enough usage and workflow context"},{"id":"dependency_risk","label":"Dependency/runtime risk","score":64,"weight":0.12,"status":"info","detail":"credential or environment access, network or browser surface"},{"id":"installability","label":"Install availability","score":92,"weight":0.1,"status":"pass","detail":"npx skills add muratcankoylan/Agent-Skills-for-Context-Engineering --skill context-fundamentals"},{"id":"install_safety","label":"Install command safety","score":92,"weight":0.1,"status":"pass","detail":"standard package or runtime install path"},{"id":"permission_surface","label":"Permission surface","score":46,"weight":0.07,"status":"warn","detail":"secrets or environment access, filesystem or document access"},{"id":"repository","label":"Repository evidence","score":86,"weight":0.04,"status":"pass","detail":"https://github.com/muratcankoylan/Agent-Skills-for-Context-Engineering/tree/main/skills/context-fundamentals"},{"id":"review_status","label":"Review status","score":66,"weight":0.05,"status":"info","detail":"AI review data available"},{"id":"agent_outcomes","label":"Agent Proven outcomes","score":54,"weight":0.13,"status":"info","detail":"No agent outcome data yet"}],"checks":[{"status":"pass","label":"GitHub adoption","detail":"18K GitHub stars"},{"status":"pass","label":"Stars/forks activity","detail":"18K stars, 1.5K forks; issue activity unavailable in current metadata"},{"status":"pass","label":"Recent maintenance","detail":"20d since push"},{"status":"pass","label":"License clarity","detail":"MIT"},{"status":"pass","label":"README/SKILL.md completeness","detail":"Metadata includes enough usage and workflow context"},{"status":"info","label":"Dependency/runtime risk","detail":"credential or environment access, network or browser surface"},{"status":"pass","label":"Install availability","detail":"npx skills add muratcankoylan/Agent-Skills-for-Context-Engineering --skill context-fundamentals"},{"status":"pass","label":"Install command safety","detail":"standard package or runtime install path"},{"status":"warn","label":"Permission surface","detail":"secrets or environment access, filesystem or document access"},{"status":"pass","label":"Repository evidence","detail":"https://github.com/muratcankoylan/Agent-Skills-for-Context-Engineering/tree/main/skills/context-fundamentals"},{"status":"info","label":"Review status","detail":"AI review data available"},{"status":"info","label":"Agent Proven outcomes","detail":"No agent outcome data yet"},{"status":"warn","label":"Ownership","detail":"No approved owner claim yet"},{"status":"pass","label":"OpenAgentSkill usage","detail":"2 views, 0 install copies"},{"status":"info","label":"Agent outcomes","detail":"No agent outcome data yet"}],"strengths":["AI review approved","Install path is available","Repository evidence is available","Recently maintained repository","Large GitHub adoption signal","Install command has no obvious high-risk pattern"],"warnings":["SKILL.md uses internal references like 'claim-context-degradation-lost-middle-ruler' without explanation or a link, which may confuse readers not familiar with the broader skill collection.","Quality score needs review","Permission surface needs review: secrets or environment access, filesystem or document access","Permission surface: secrets or environment access, filesystem or document access"],"evidence":{"stars":"18K GitHub stars","repoActivity":"18K stars, 1.5K forks","lastPushed":"20d since push","license":"MIT","repository":"https://github.com/muratcankoylan/Agent-Skills-for-Context-Engineering/tree/main/skills/context-fundamentals","install":"npx skills add muratcankoylan/Agent-Skills-for-Context-Engineering --skill context-fundamentals","installSafety":"standard package or runtime install path","permissionSurface":"secrets or environment access, filesystem or document access","documentation":"Strong README/SKILL.md context","agentOutcomes":"No agent outcome data yet"},"installReadiness":{"ready":true,"command":"npx skills add muratcankoylan/Agent-Skills-for-Context-Engineering --skill context-fundamentals","policy":"human_review_before_install","label":"Human review before install","notes":["Install path is available","Repository evidence is available","License is declared","No Agent Proven outcome evidence yet","20d since push"]},"agentCompatibility":["Codex","Claude Code","Cursor","OpenAgentSkill CLI"],"riskSummary":{"level":"medium","label":"Review before production","notes":["SKILL.md uses internal references like 'claim-context-degradation-lost-middle-ruler' without explanation or a link, which may confuse readers not familiar with the broader skill collection.","Quality score needs review","Permission surface needs review: secrets or environment access, filesystem or document access","Permission surface: secrets or environment access, filesystem or document access"]},"outcomeEvidence":{"total":0,"successes":0,"failures":0,"notRelevant":0,"successRate":null,"installAttempts":0,"riskBlocked":0,"setupRequired":0,"installSuccessRate":null,"avgOutputQuality":null,"avgTimeToUsefulMs":null,"productionOutcomes":0,"humanReviewRequired":0,"recentSuccessRate":null,"recentFailureRate":null,"uniqueAgents":0,"agentProvenScore":0,"agentProvenLabel":"Needs first agent run","lastOutcomeAt":null,"label":"No agent outcome data yet"},"autoInstall":{"allowed":false,"sandboxRequired":true,"policy":"human_review_before_install","reason":"Human review or sandbox validation is required before automatic installation."},"bestFor":["research","agent-skill"],"doNotUseFor":["Production credentials, payments, or irreversible account changes without explicit human review","Sensitive private data before reviewing repository code, license, and permission surface","Automatic installation in a production workspace"],"knownRisks":["SKILL.md uses internal references like 'claim-context-degradation-lost-middle-ruler' without explanation or a link, which may confuse readers not familiar with the broader skill collection.","Quality score needs review","Permission surface needs review: secrets or environment access, filesystem or document access","Permission surface: secrets or environment access, filesystem or document access"]},"agent_proven":{"version":"agent-proven-v1","score":0,"tier":"unproven","label":"Needs first agent run","summary":"No agent outcome reports yet. Use Resolve, run one narrow sandbox task, then report the result.","metrics":{"totalOutcomes":0,"successfulOutcomes":0,"failedOutcomes":0,"installAttempts":0,"installSuccessRate":null,"successRate":null,"recentSuccessRate":null,"recentFailureRate":null,"riskBlocked":0,"setupRequired":0,"notRelevant":0,"avgOutputQuality":null,"avgTimeToUsefulMs":null,"productionOutcomes":0,"humanReviewRequired":0,"uniqueAgents":0,"lastOutcomeAt":null},"signals":[],"penalties":["No real agent outcome evidence yet"]},"outcome_stats":null,"safety":{"score":56,"level":"review_before_install","label":"Review before install","safety_tier":{"tier":"experimental","label":"Experimental","badge":"EXPERIMENTAL","summary":"Sparse or mixed signals. Useful for discovery, but not for autonomous installation.","recommended_action":"Test manually in an isolated workspace and compare against safer alternatives.","auto_install_policy":"review","reasons":["High-risk permission hints: Secrets or environment access","56/100 agent safety score"]},"auto_install_allowed":false,"human_review_required":true,"blocked":false,"audit_risk":"needs_review","permission_hints":[{"id":"network","label":"Network access","reason":"Skill likely fetches remote pages, APIs, repositories, or external services.","severity":"medium"},{"id":"filesystem","label":"Filesystem access","reason":"Skill may read or write project files, documents, generated artifacts, or local workspace state.","severity":"medium"},{"id":"secrets","label":"Secrets or environment access","reason":"Skill metadata references credentials, tokens, environment variables, or secret-bearing workflows.","severity":"high"}],"policy_warnings":["High-risk permission hints: Secrets or environment access","Permission surface may require sandboxing"],"constraints_applied":{"max_risk":"medium","needs_install_command":true,"min_stars":0}},"safety_gate":{"tier":"experimental","label":"Experimental","badge":"EXPERIMENTAL","auto_install_policy":"review","auto_install_allowed":false,"blocked":false,"human_review_required":true,"recommended_action":"Test manually in an isolated workspace and compare against safer alternatives.","reasons":["High-risk permission hints: Secrets or environment access","56/100 agent safety score"]},"eval":{"version":"openagentskill-skill-eval-v1","status":"failed","score":77,"risk_level":"high","decision":{"recommendation":"do_not_auto_install","reason":"Permission surface: secrets or environment access, filesystem or document access","auto_install_allowed":false,"policy":"block","human_review_required":true},"blockers":["Permission surface: secrets or environment access, filesystem or document access"],"warnings":["Trust score: Good trust signals with a few areas worth checking before rollout.","Audit score: Needs review","Agent safety gate: Sparse or mixed signals. Useful for discovery, but not for autonomous installation.","High-risk permission hints: Secrets or environment access","Permission surface may require sandboxing","SKILL.md uses internal references like 'claim-context-degradation-lost-middle-ruler' without explanation or a link, which may confuse readers not familiar with the broader skill collection.","The skill is primarily conceptual and does not include a concrete end-to-end example in SKILL.md, making it slightly harder to apply directly without reading the referenced specialized skills.","The Python utility is marked as a demo token estimator, so users may mistake the heuristic for a production-grade tokenizer unless they read the module docstring carefully.","Quality score needs review","Permission surface needs review: secrets or environment access, filesystem or document access","Permission surface: secrets or environment access, filesystem or document access"],"validation_plan":["Inspect repository, README/SKILL.md, license, and recent commits before production use.","Install in an isolated workspace or sandbox with no production secrets available.","Run the smallest representative task and record files touched, commands run, network access, and outputs.","Compare the selected skill against at least one alternative when the eval status is review or failed.","Promote only after the agent reports a successful verification result and unresolved warnings are accepted."],"checks":[{"id":"task_fit","label":"Task fit","status":"pass","score":84,"required_for_auto_install":true,"detail":"Task wording matches this skill metadata.","evidence":["Evaluate context-fundamentals before installing it in an agent workflow","research","RAG and knowledge workflows; Claude Code teams; teams that value GitHub adoption signals"]},{"id":"install_path","label":"Install path","status":"pass","score":92,"required_for_auto_install":true,"detail":"Install handoff is available.","evidence":["npx skills add muratcankoylan/Agent-Skills-for-Context-Engineering --skill context-fundamentals"]},{"id":"install_safety","label":"Install command safety","status":"pass","score":92,"required_for_auto_install":true,"detail":"standard package or runtime install path","evidence":["npx skills add muratcankoylan/Agent-Skills-for-Context-Engineering --skill context-fundamentals"]},{"id":"trust_score","label":"Trust score","status":"warn","score":74,"required_for_auto_install":true,"detail":"Good trust signals with a few areas worth checking before rollout.","evidence":["Strong shortlist","18K GitHub stars","MIT"]},{"id":"audit_score","label":"Audit score","status":"warn","score":84,"required_for_auto_install":true,"detail":"Needs review","evidence":["Permission surface may require sandboxing"]},{"id":"agent_safety_gate","label":"Agent safety gate","status":"warn","score":56,"required_for_auto_install":true,"detail":"Sparse or mixed signals. Useful for discovery, but not for autonomous installation.","evidence":["Test manually in an isolated workspace and compare against safer alternatives.","High-risk permission hints: Secrets or environment access"]},{"id":"readme_skillmd_completeness","label":"README/SKILL.md completeness","status":"pass","score":86,"required_for_auto_install":false,"detail":"Metadata includes enough usage and workflow context","evidence":["Strong README/SKILL.md context"]},{"id":"license_clarity","label":"License clarity","status":"pass","score":86,"required_for_auto_install":true,"detail":"MIT","evidence":["MIT"]},{"id":"recent_maintenance","label":"Recent maintenance","status":"pass","score":100,"required_for_auto_install":false,"detail":"20d since push","evidence":["20d since push"]},{"id":"permission_surface","label":"Permission surface","status":"fail","score":46,"required_for_auto_install":true,"detail":"secrets or environment access, filesystem or document access","evidence":["Network access: medium","Filesystem access: medium","Secrets or environment access: high"]},{"id":"alternatives","label":"Alternatives available","status":"info","score":55,"required_for_auto_install":false,"detail":"No close alternatives were found in the current shortlist.","evidence":[]}],"endpoints":{"web":"https://www.openagentskill.com/skills/muratcankoylan-context-fundamentals/evals","api":"/api/agent/evals?slug=muratcankoylan-context-fundamentals","text":"/api/agent/evals?slug=muratcankoylan-context-fundamentals&format=text"}},"agent_readable_metadata":{"version":"openagentskill-agent-metadata-v2","skill":{"slug":"muratcankoylan-context-fundamentals","name":"context-fundamentals","description":"This skill should be used to explain or reason about the foundational concepts of context engineering: what context is, the anatomy of a context window, how attention mechanics work, the U-shaped attention curve, why context quality matters more than quantity, and the mental models needed to interpret every other context-engineering decision. Use this for conceptual explanation, onboarding, and background reading. Route operational work to the specialized skills: debugging attention failures goes to context-degradation, token-efficiency work goes to context-optimization, conversation summarization goes to context-compression, and project-shape decisions go to project-development.","category":"research","url":"https://www.openagentskill.com/skills/muratcankoylan-context-fundamentals","repository":"https://github.com/muratcankoylan/Agent-Skills-for-Context-Engineering/tree/main/skills/context-fundamentals","github_repo":"muratcankoylan/Agent-Skills-for-Context-Engineering"},"suited_tasks":["RAG and knowledge workflows","Claude Code teams","teams that value GitHub adoption signals","Chunk documents","Create embeddings","Retrieve and cite relevant passages","Search sources","Extract claims"],"suited_agents":["Codex","Claude Code","Cursor","OpenAgentSkill CLI","CLI"],"install":{"command":"npx skills add muratcankoylan/Agent-Skills-for-Context-Engineering --skill context-fundamentals","ready":true,"targets":[{"id":"openagentskill-cli","label":"CLI","kind":"command","value":"npx --yes https://github.com/Leon-Drq/openagentskill/releases/download/cli-v0.3.0/openagentskill-0.3.0.tgz add muratcankoylan-context-fundamentals"},{"id":"codex","label":"Codex","kind":"agent-prompt","value":"Install the \"context-fundamentals\" agent skill from https://github.com/muratcankoylan/Agent-Skills-for-Context-Engineering/tree/main/skills/context-fundamentals. Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: This skill should be used to explain or reason about the foundational concepts of context engineering: what context is, the anatomy of a context window, how attention mechanics work, the U-shaped attention curve, why context quality matters more than quantity, and the mental models needed to interpret every other context-engineering decision. Use this for conceptual explanation, onboarding, and background reading. Route operational work to the specialized skills: debugging attention failures goes to context-degradation, token-efficiency work goes to context-optimization, conversation summarization goes to context-compression, and project-shape decisions go to project-development. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_<unique-id>\",\"skill_slug\":\"muratcankoylan-context-fundamentals\",\"task\":\"Install context-fundamentals\",\"agent\":\"codex\",\"outcome\":\"success\",\"install_used\":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes."},{"id":"claude-code","label":"Claude Code","kind":"agent-prompt","value":"Add \"context-fundamentals\" as a Claude Code skill from https://github.com/muratcankoylan/Agent-Skills-for-Context-Engineering/tree/main/skills/context-fundamentals. Inspect the skill instructions, place the reusable skill files in the appropriate local skills location for this project, and report the activation steps. Skill purpose: This skill should be used to explain or reason about the foundational concepts of context engineering: what context is, the anatomy of a context window, how attention mechanics work, the U-shaped attention curve, why context quality matters more than quantity, and the mental models needed to interpret every other context-engineering decision. Use this for conceptual explanation, onboarding, and background reading. Route operational work to the specialized skills: debugging attention failures goes to context-degradation, token-efficiency work goes to context-optimization, conversation summarization goes to context-compression, and project-shape decisions go to project-development. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_<unique-id>\",\"skill_slug\":\"muratcankoylan-context-fundamentals\",\"task\":\"Install context-fundamentals\",\"agent\":\"claude-code\",\"outcome\":\"success\",\"install_used\":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes."},{"id":"cursor","label":"Cursor","kind":"agent-prompt","value":"Turn \"context-fundamentals\" from https://github.com/muratcankoylan/Agent-Skills-for-Context-Engineering/tree/main/skills/context-fundamentals into a reusable Cursor project rule or agent instruction. Preserve the core workflow, adapt paths to this repo, and keep the rule scoped to tasks where it is relevant. Skill purpose: This skill should be used to explain or reason about the foundational concepts of context engineering: what context is, the anatomy of a context window, how attention mechanics work, the U-shaped attention curve, why context quality matters more than quantity, and the mental models needed to interpret every other context-engineering decision. Use this for conceptual explanation, onboarding, and background reading. Route operational work to the specialized skills: debugging attention failures goes to context-degradation, token-efficiency work goes to context-optimization, conversation summarization goes to context-compression, and project-shape decisions go to project-development. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_<unique-id>\",\"skill_slug\":\"muratcankoylan-context-fundamentals\",\"task\":\"Install context-fundamentals\",\"agent\":\"cursor\",\"outcome\":\"success\",\"install_used\":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes."}],"handoff_url":"https://www.openagentskill.com/api/skills/muratcankoylan-context-fundamentals/install","manifest_url":"https://www.openagentskill.com/api/registry/manifest/muratcankoylan-context-fundamentals"},"trust":{"score":74,"label":"Strong shortlist","version":"trust-score-v4","install_policy":"human_review_before_install","evidence":{"stars":"18K GitHub stars","repoActivity":"18K stars, 1.5K forks","lastPushed":"20d since push","license":"MIT","repository":"https://github.com/muratcankoylan/Agent-Skills-for-Context-Engineering/tree/main/skills/context-fundamentals","install":"npx skills add muratcankoylan/Agent-Skills-for-Context-Engineering --skill context-fundamentals","installSafety":"standard package or runtime install path","permissionSurface":"secrets or environment access, filesystem or document access","documentation":"Strong README/SKILL.md context","agentOutcomes":"No agent outcome data yet"},"outcome_evidence":{"total":0,"successes":0,"failures":0,"not_relevant":0,"success_rate":null,"recent_success_rate":null,"recent_failure_rate":null,"install_attempts":0,"install_success_rate":null,"risk_blocked":0,"setup_required":0,"avg_output_quality":null,"production_outcomes":0,"last_outcome_at":null,"label":"No agent outcome data yet"},"auto_install":{"allowed":false,"sandbox_required":true,"reason":"Human review or sandbox validation is required before automatic installation."},"best_for":["research","agent-skill"],"known_risks":["SKILL.md uses internal references like 'claim-context-degradation-lost-middle-ruler' without explanation or a link, which may confuse readers not familiar with the broader skill collection.","Quality score needs review","Permission surface needs review: secrets or environment access, filesystem or document access","Permission surface: secrets or environment access, filesystem or document access"]},"agent_proven":{"version":"agent-proven-v1","score":0,"tier":"unproven","label":"Needs first agent run","summary":"No agent outcome reports yet. Use Resolve, run one narrow sandbox task, then report the result.","metrics":{"totalOutcomes":0,"successfulOutcomes":0,"failedOutcomes":0,"installAttempts":0,"installSuccessRate":null,"successRate":null,"recentSuccessRate":null,"recentFailureRate":null,"riskBlocked":0,"setupRequired":0,"notRelevant":0,"avgOutputQuality":null,"avgTimeToUsefulMs":null,"productionOutcomes":0,"humanReviewRequired":0,"uniqueAgents":0,"lastOutcomeAt":null},"signals":[],"penalties":["No real agent outcome evidence yet"]},"audit":{"score":84,"risk_level":"needs_review","risk_label":"Needs review","warnings":["Permission surface may require sandboxing","SKILL.md uses internal references like 'claim-context-degradation-lost-middle-ruler' without explanation or a link, which may confuse readers not familiar with the broader skill collection.","The skill is primarily conceptual and does not include a concrete end-to-end example in SKILL.md, making it slightly harder to apply directly without reading the referenced specialized skills.","The Python utility is marked as a demo token estimator, so users may mistake the heuristic for a production-grade tokenizer unless they read the module docstring carefully.","Quality score needs review","Permission surface needs review: secrets or environment access, filesystem or document access","Permission surface: secrets or environment access, filesystem or document access"]},"safety_gate":{"tier":"experimental","label":"Experimental","auto_install_policy":"review","auto_install_allowed":false,"human_review_required":true,"blocked":false,"recommended_action":"Test manually in an isolated workspace and compare against safer alternatives."},"quality":{"score":89,"label":"Excellent"},"supply":{"track":"Research and knowledge work","scenario":"RAG and knowledge","maintenance":"20d since push","risk":"Needs review"},"alternative_skills":[],"do_not_use_when":["teams that need a vendor-supported SLA","production agents without a repository review","SKILL.md uses internal references like 'claim-context-degradation-lost-middle-ruler' without explanation or a link, which may confuse readers not familiar with the broader skill collection.","High-risk permission hints: Secrets or environment access","Permission surface may require sandboxing","The skill is primarily conceptual and does not include a concrete end-to-end example in SKILL.md, making it slightly harder to apply directly without reading the referenced specialized skills.","The Python utility is marked as a demo token estimator, so users may mistake the heuristic for a production-grade tokenizer unless they read the module docstring carefully.","Quality score needs review"],"agent_contract":{"task_input":"Use context-fundamentals in an agent workflow","recommended_action":"Test manually in an isolated workspace and compare against safer alternatives.","install_policy":"review","minimum_review_before_use":["Trust: 74/100 Strong shortlist","Audit: 84/100 Needs review","Safety: 56/100 Review before install","Review repository, license, install command, and permission surface before production use."],"expected_agent_output":{"selected_skill":"muratcankoylan-context-fundamentals (context-fundamentals)","install_command":"npx skills add muratcankoylan/Agent-Skills-for-Context-Engineering --skill context-fundamentals","risk_summary":"Needs review; Experimental; Review before production","verification_result":"Report the smallest successful task, files touched, warnings, and any missing setup."}},"outcome_feedback":{"endpoint":"https://www.openagentskill.com/api/agent/outcome","method":"POST","requires_resolve_event_id":true,"event_id_source":"Use install_receipt.outcome_feedback.event_id or feedback.event_id returned by /api/agent/resolve for the current task.","expected_outcomes":["success","failed","not_relevant","blocked_by_risk","setup_required"],"payload_template":{"event_id":"<install_receipt.outcome_feedback.event_id or feedback.event_id from /api/agent/resolve>","skill_slug":"muratcankoylan-context-fundamentals","task":"Use context-fundamentals in an agent workflow","agent":"codex","outcome":"success","install_used":true,"risk_blocked":false,"setup_required":false,"task_success":true,"output_quality":4,"error_type":null,"human_review_required":false,"workspace":"sandbox","time_to_useful_ms":120000,"notes":"Report the smallest successful task, setup friction, files touched, and risk notes."}},"endpoints":{"web":"https://www.openagentskill.com/skills/muratcankoylan-context-fundamentals","api":"https://www.openagentskill.com/api/agent/skills/muratcankoylan-context-fundamentals","audit":"https://www.openagentskill.com/skills/muratcankoylan-context-fundamentals/audit","eval":"https://www.openagentskill.com/api/agent/evals?slug=muratcankoylan-context-fundamentals&task=Use%20context-fundamentals%20in%20an%20agent%20workflow&max_risk=medium","resolve":"https://www.openagentskill.com/api/agent/resolve?task=Use%20context-fundamentals%20in%20an%20agent%20workflow&agent=codex&max_risk=medium","receipt":"https://www.openagentskill.com/api/agent/receipt?task=Use%20context-fundamentals%20in%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text","install":"https://www.openagentskill.com/api/skills/muratcankoylan-context-fundamentals/install","manifest":"https://www.openagentskill.com/api/registry/manifest/muratcankoylan-context-fundamentals"}},"machine_metadata":{"version":"openagentskill-agent-metadata-v2","skill":{"slug":"muratcankoylan-context-fundamentals","name":"context-fundamentals","description":"This skill should be used to explain or reason about the foundational concepts of context engineering: what context is, the anatomy of a context window, how attention mechanics work, the U-shaped attention curve, why context quality matters more than quantity, and the mental models needed to interpret every other context-engineering decision. Use this for conceptual explanation, onboarding, and background reading. Route operational work to the specialized skills: debugging attention failures goes to context-degradation, token-efficiency work goes to context-optimization, conversation summarization goes to context-compression, and project-shape decisions go to project-development.","category":"research","url":"https://www.openagentskill.com/skills/muratcankoylan-context-fundamentals","repository":"https://github.com/muratcankoylan/Agent-Skills-for-Context-Engineering/tree/main/skills/context-fundamentals","github_repo":"muratcankoylan/Agent-Skills-for-Context-Engineering"},"suited_tasks":["RAG and knowledge workflows","Claude Code teams","teams that value GitHub adoption signals","Chunk documents","Create embeddings","Retrieve and cite relevant passages","Search sources","Extract claims"],"suited_agents":["Codex","Claude Code","Cursor","OpenAgentSkill CLI","CLI"],"install":{"command":"npx skills add muratcankoylan/Agent-Skills-for-Context-Engineering --skill context-fundamentals","ready":true,"targets":[{"id":"openagentskill-cli","label":"CLI","kind":"command","value":"npx --yes https://github.com/Leon-Drq/openagentskill/releases/download/cli-v0.3.0/openagentskill-0.3.0.tgz add muratcankoylan-context-fundamentals"},{"id":"codex","label":"Codex","kind":"agent-prompt","value":"Install the \"context-fundamentals\" agent skill from https://github.com/muratcankoylan/Agent-Skills-for-Context-Engineering/tree/main/skills/context-fundamentals. Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: This skill should be used to explain or reason about the foundational concepts of context engineering: what context is, the anatomy of a context window, how attention mechanics work, the U-shaped attention curve, why context quality matters more than quantity, and the mental models needed to interpret every other context-engineering decision. Use this for conceptual explanation, onboarding, and background reading. Route operational work to the specialized skills: debugging attention failures goes to context-degradation, token-efficiency work goes to context-optimization, conversation summarization goes to context-compression, and project-shape decisions go to project-development. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_<unique-id>\",\"skill_slug\":\"muratcankoylan-context-fundamentals\",\"task\":\"Install context-fundamentals\",\"agent\":\"codex\",\"outcome\":\"success\",\"install_used\":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes."},{"id":"claude-code","label":"Claude Code","kind":"agent-prompt","value":"Add \"context-fundamentals\" as a Claude Code skill from https://github.com/muratcankoylan/Agent-Skills-for-Context-Engineering/tree/main/skills/context-fundamentals. Inspect the skill instructions, place the reusable skill files in the appropriate local skills location for this project, and report the activation steps. Skill purpose: This skill should be used to explain or reason about the foundational concepts of context engineering: what context is, the anatomy of a context window, how attention mechanics work, the U-shaped attention curve, why context quality matters more than quantity, and the mental models needed to interpret every other context-engineering decision. Use this for conceptual explanation, onboarding, and background reading. Route operational work to the specialized skills: debugging attention failures goes to context-degradation, token-efficiency work goes to context-optimization, conversation summarization goes to context-compression, and project-shape decisions go to project-development. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_<unique-id>\",\"skill_slug\":\"muratcankoylan-context-fundamentals\",\"task\":\"Install context-fundamentals\",\"agent\":\"claude-code\",\"outcome\":\"success\",\"install_used\":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes."},{"id":"cursor","label":"Cursor","kind":"agent-prompt","value":"Turn \"context-fundamentals\" from https://github.com/muratcankoylan/Agent-Skills-for-Context-Engineering/tree/main/skills/context-fundamentals into a reusable Cursor project rule or agent instruction. Preserve the core workflow, adapt paths to this repo, and keep the rule scoped to tasks where it is relevant. Skill purpose: This skill should be used to explain or reason about the foundational concepts of context engineering: what context is, the anatomy of a context window, how attention mechanics work, the U-shaped attention curve, why context quality matters more than quantity, and the mental models needed to interpret every other context-engineering decision. Use this for conceptual explanation, onboarding, and background reading. Route operational work to the specialized skills: debugging attention failures goes to context-degradation, token-efficiency work goes to context-optimization, conversation summarization goes to context-compression, and project-shape decisions go to project-development. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_<unique-id>\",\"skill_slug\":\"muratcankoylan-context-fundamentals\",\"task\":\"Install context-fundamentals\",\"agent\":\"cursor\",\"outcome\":\"success\",\"install_used\":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes."}],"handoff_url":"https://www.openagentskill.com/api/skills/muratcankoylan-context-fundamentals/install","manifest_url":"https://www.openagentskill.com/api/registry/manifest/muratcankoylan-context-fundamentals"},"trust":{"score":74,"label":"Strong shortlist","version":"trust-score-v4","install_policy":"human_review_before_install","evidence":{"stars":"18K GitHub stars","repoActivity":"18K stars, 1.5K forks","lastPushed":"20d since push","license":"MIT","repository":"https://github.com/muratcankoylan/Agent-Skills-for-Context-Engineering/tree/main/skills/context-fundamentals","install":"npx skills add muratcankoylan/Agent-Skills-for-Context-Engineering --skill context-fundamentals","installSafety":"standard package or runtime install path","permissionSurface":"secrets or environment access, filesystem or document access","documentation":"Strong README/SKILL.md context","agentOutcomes":"No agent outcome data yet"},"outcome_evidence":{"total":0,"successes":0,"failures":0,"not_relevant":0,"success_rate":null,"recent_success_rate":null,"recent_failure_rate":null,"install_attempts":0,"install_success_rate":null,"risk_blocked":0,"setup_required":0,"avg_output_quality":null,"production_outcomes":0,"last_outcome_at":null,"label":"No agent outcome data yet"},"auto_install":{"allowed":false,"sandbox_required":true,"reason":"Human review or sandbox validation is required before automatic installation."},"best_for":["research","agent-skill"],"known_risks":["SKILL.md uses internal references like 'claim-context-degradation-lost-middle-ruler' without explanation or a link, which may confuse readers not familiar with the broader skill collection.","Quality score needs review","Permission surface needs review: secrets or environment access, filesystem or document access","Permission surface: secrets or environment access, filesystem or document access"]},"agent_proven":{"version":"agent-proven-v1","score":0,"tier":"unproven","label":"Needs first agent run","summary":"No agent outcome reports yet. Use Resolve, run one narrow sandbox task, then report the result.","metrics":{"totalOutcomes":0,"successfulOutcomes":0,"failedOutcomes":0,"installAttempts":0,"installSuccessRate":null,"successRate":null,"recentSuccessRate":null,"recentFailureRate":null,"riskBlocked":0,"setupRequired":0,"notRelevant":0,"avgOutputQuality":null,"avgTimeToUsefulMs":null,"productionOutcomes":0,"humanReviewRequired":0,"uniqueAgents":0,"lastOutcomeAt":null},"signals":[],"penalties":["No real agent outcome evidence yet"]},"audit":{"score":84,"risk_level":"needs_review","risk_label":"Needs review","warnings":["Permission surface may require sandboxing","SKILL.md uses internal references like 'claim-context-degradation-lost-middle-ruler' without explanation or a link, which may confuse readers not familiar with the broader skill collection.","The skill is primarily conceptual and does not include a concrete end-to-end example in SKILL.md, making it slightly harder to apply directly without reading the referenced specialized skills.","The Python utility is marked as a demo token estimator, so users may mistake the heuristic for a production-grade tokenizer unless they read the module docstring carefully.","Quality score needs review","Permission surface needs review: secrets or environment access, filesystem or document access","Permission surface: secrets or environment access, filesystem or document access"]},"safety_gate":{"tier":"experimental","label":"Experimental","auto_install_policy":"review","auto_install_allowed":false,"human_review_required":true,"blocked":false,"recommended_action":"Test manually in an isolated workspace and compare against safer alternatives."},"quality":{"score":89,"label":"Excellent"},"supply":{"track":"Research and knowledge work","scenario":"RAG and knowledge","maintenance":"20d since push","risk":"Needs review"},"alternative_skills":[],"do_not_use_when":["teams that need a vendor-supported SLA","production agents without a repository review","SKILL.md uses internal references like 'claim-context-degradation-lost-middle-ruler' without explanation or a link, which may confuse readers not familiar with the broader skill collection.","High-risk permission hints: Secrets or environment access","Permission surface may require sandboxing","The skill is primarily conceptual and does not include a concrete end-to-end example in SKILL.md, making it slightly harder to apply directly without reading the referenced specialized skills.","The Python utility is marked as a demo token estimator, so users may mistake the heuristic for a production-grade tokenizer unless they read the module docstring carefully.","Quality score needs review"],"agent_contract":{"task_input":"Use context-fundamentals in an agent workflow","recommended_action":"Test manually in an isolated workspace and compare against safer alternatives.","install_policy":"review","minimum_review_before_use":["Trust: 74/100 Strong shortlist","Audit: 84/100 Needs review","Safety: 56/100 Review before install","Review repository, license, install command, and permission surface before production use."],"expected_agent_output":{"selected_skill":"muratcankoylan-context-fundamentals (context-fundamentals)","install_command":"npx skills add muratcankoylan/Agent-Skills-for-Context-Engineering --skill context-fundamentals","risk_summary":"Needs review; Experimental; Review before production","verification_result":"Report the smallest successful task, files touched, warnings, and any missing setup."}},"outcome_feedback":{"endpoint":"https://www.openagentskill.com/api/agent/outcome","method":"POST","requires_resolve_event_id":true,"event_id_source":"Use install_receipt.outcome_feedback.event_id or feedback.event_id returned by /api/agent/resolve for the current task.","expected_outcomes":["success","failed","not_relevant","blocked_by_risk","setup_required"],"payload_template":{"event_id":"<install_receipt.outcome_feedback.event_id or feedback.event_id from /api/agent/resolve>","skill_slug":"muratcankoylan-context-fundamentals","task":"Use context-fundamentals in an agent workflow","agent":"codex","outcome":"success","install_used":true,"risk_blocked":false,"setup_required":false,"task_success":true,"output_quality":4,"error_type":null,"human_review_required":false,"workspace":"sandbox","time_to_useful_ms":120000,"notes":"Report the smallest successful task, setup friction, files touched, and risk notes."}},"endpoints":{"web":"https://www.openagentskill.com/skills/muratcankoylan-context-fundamentals","api":"https://www.openagentskill.com/api/agent/skills/muratcankoylan-context-fundamentals","audit":"https://www.openagentskill.com/skills/muratcankoylan-context-fundamentals/audit","eval":"https://www.openagentskill.com/api/agent/evals?slug=muratcankoylan-context-fundamentals&task=Use%20context-fundamentals%20in%20an%20agent%20workflow&max_risk=medium","resolve":"https://www.openagentskill.com/api/agent/resolve?task=Use%20context-fundamentals%20in%20an%20agent%20workflow&agent=codex&max_risk=medium","receipt":"https://www.openagentskill.com/api/agent/receipt?task=Use%20context-fundamentals%20in%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text","install":"https://www.openagentskill.com/api/skills/muratcankoylan-context-fundamentals/install","manifest":"https://www.openagentskill.com/api/registry/manifest/muratcankoylan-context-fundamentals"}},"supply_profile":{"track":{"slug":"research","label":"Research and knowledge work","shortLabel":"Research","description":"Deep research, source comparison, literature review, RAG, knowledge search, and reports."},"scenario":{"label":"RAG and knowledge","description":"I need my agent to build a RAG workflow over documents and retrieve reliable context.","useCases":[{"slug":"rag-knowledge","title":"RAG and knowledge"},{"slug":"research-agents","title":"Research agents"},{"slug":"content-automation","title":"Content automation"}]},"applicableAgents":["Claude Code","CLI","Codex","Cursor"],"install":{"ready":true,"command":"npx skills add muratcankoylan/Agent-Skills-for-Context-Engineering --skill context-fundamentals","primaryTarget":"CLI","targetCount":4},"githubQuality":{"stars":17901,"starsLabel":"18K","forks":1480,"license":"MIT","qualityScore":89,"trustScore":74,"auditScore":84},"maintenance":{"status":"fresh","label":"20d since push","daysSincePush":20,"lastPushedAt":"2026-08-19T01:55:00+00:00"},"risk":{"level":"needs_review","label":"Needs review","requiresReview":true,"notes":["Permission surface may require sandboxing","SKILL.md uses internal references like 'claim-context-degradation-lost-middle-ruler' without explanation or a link, which may confuse readers not familiar with the broader skill collection.","The skill is primarily conceptual and does not include a concrete end-to-end example in SKILL.md, making it slightly harder to apply directly without reading the referenced specialized skills.","The Python utility is marked as a demo token estimator, so users may mistake the heuristic for a production-grade tokenizer unless they read the module docstring carefully.","Quality score needs review"]},"coverageTags":["Research","RAG and knowledge","agent-skill"]},"audit":{"audit_score":84,"risk_level":"needs_review","risk_label":"Needs review","quality_score":89,"trust_score":74,"maintenance_score":100,"security_score":76,"install_score":92,"warnings":["Permission surface may require sandboxing","SKILL.md uses internal references like 'claim-context-degradation-lost-middle-ruler' without explanation or a link, which may confuse readers not familiar with the broader skill collection.","The skill is primarily conceptual and does not include a concrete end-to-end example in SKILL.md, making it slightly harder to apply directly without reading the referenced specialized skills.","The Python utility is marked as a demo token estimator, so users may mistake the heuristic for a production-grade tokenizer unless they read the module docstring carefully.","Quality score needs review","Permission surface needs review: secrets or environment access, filesystem or document access","Permission surface: secrets or environment access, filesystem or document access"]},"quality_signals":{"model":"v2","star_score":29.77,"usage_score":0,"review_score":5.1,"metadata_score":3,"freshness_score":15},"platforms":["Claude Code"],"use_cases":[{"slug":"rag-knowledge","title":"RAG and knowledge","url":"https://www.openagentskill.com/use-cases/rag-knowledge"},{"slug":"research-agents","title":"Research agents","url":"https://www.openagentskill.com/use-cases/research-agents"},{"slug":"content-automation","title":"Content automation","url":"https://www.openagentskill.com/use-cases/content-automation"},{"slug":"coding-agents","title":"Coding agents","url":"https://www.openagentskill.com/use-cases/coding-agents"}],"stacks":[{"slug":"rag-knowledge-base","title":"RAG knowledge base","url":"https://www.openagentskill.com/collections/rag-knowledge-base"},{"slug":"research-report-agent","title":"Research report agent","url":"https://www.openagentskill.com/collections/research-report-agent"},{"slug":"coding-review-agent","title":"Coding review agent","url":"https://www.openagentskill.com/collections/coding-review-agent"}],"install":"npx skills add muratcankoylan/Agent-Skills-for-Context-Engineering --skill context-fundamentals","install_targets":[{"id":"openagentskill-cli","label":"CLI","title":"OpenAgentSkill CLI","kind":"command","value":"npx --yes https://github.com/Leon-Drq/openagentskill/releases/download/cli-v0.3.0/openagentskill-0.3.0.tgz add muratcankoylan-context-fundamentals","description":"Resolve policy, run the source installer safely, and report a verified install receipt.","copyLabel":"Copy command"},{"id":"codex","label":"Codex","title":"Codex install prompt","kind":"agent-prompt","value":"Install the \"context-fundamentals\" agent skill from https://github.com/muratcankoylan/Agent-Skills-for-Context-Engineering/tree/main/skills/context-fundamentals. Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: This skill should be used to explain or reason about the foundational concepts of context engineering: what context is, the anatomy of a context window, how attention mechanics work, the U-shaped attention curve, why context quality matters more than quantity, and the mental models needed to interpret every other context-engineering decision. Use this for conceptual explanation, onboarding, and background reading. Route operational work to the specialized skills: debugging attention failures goes to context-degradation, token-efficiency work goes to context-optimization, conversation summarization goes to context-compression, and project-shape decisions go to project-development. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_<unique-id>\",\"skill_slug\":\"muratcankoylan-context-fundamentals\",\"task\":\"Install context-fundamentals\",\"agent\":\"codex\",\"outcome\":\"success\",\"install_used\":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.","description":"Give Codex a repo-aware install prompt when the skill is not available through a local CLI.","copyLabel":"Copy prompt"},{"id":"claude-code","label":"Claude Code","title":"Claude Code skill prompt","kind":"agent-prompt","value":"Add \"context-fundamentals\" as a Claude Code skill from https://github.com/muratcankoylan/Agent-Skills-for-Context-Engineering/tree/main/skills/context-fundamentals. Inspect the skill instructions, place the reusable skill files in the appropriate local skills location for this project, and report the activation steps. Skill purpose: This skill should be used to explain or reason about the foundational concepts of context engineering: what context is, the anatomy of a context window, how attention mechanics work, the U-shaped attention curve, why context quality matters more than quantity, and the mental models needed to interpret every other context-engineering decision. Use this for conceptual explanation, onboarding, and background reading. Route operational work to the specialized skills: debugging attention failures goes to context-degradation, token-efficiency work goes to context-optimization, conversation summarization goes to context-compression, and project-shape decisions go to project-development. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_<unique-id>\",\"skill_slug\":\"muratcankoylan-context-fundamentals\",\"task\":\"Install context-fundamentals\",\"agent\":\"claude-code\",\"outcome\":\"success\",\"install_used\":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.","description":"Use this prompt to ask Claude Code to add the skill and explain the local activation steps.","copyLabel":"Copy prompt"},{"id":"cursor","label":"Cursor","title":"Cursor rule prompt","kind":"agent-prompt","value":"Turn \"context-fundamentals\" from https://github.com/muratcankoylan/Agent-Skills-for-Context-Engineering/tree/main/skills/context-fundamentals into a reusable Cursor project rule or agent instruction. Preserve the core workflow, adapt paths to this repo, and keep the rule scoped to tasks where it is relevant. Skill purpose: This skill should be used to explain or reason about the foundational concepts of context engineering: what context is, the anatomy of a context window, how attention mechanics work, the U-shaped attention curve, why context quality matters more than quantity, and the mental models needed to interpret every other context-engineering decision. Use this for conceptual explanation, onboarding, and background reading. Route operational work to the specialized skills: debugging attention failures goes to context-degradation, token-efficiency work goes to context-optimization, conversation summarization goes to context-compression, and project-shape decisions go to project-development. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_<unique-id>\",\"skill_slug\":\"muratcankoylan-context-fundamentals\",\"task\":\"Install context-fundamentals\",\"agent\":\"cursor\",\"outcome\":\"success\",\"install_used\":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.","description":"Use this when installing as Cursor project rules or reusable agent instructions.","copyLabel":"Copy prompt"}],"repository":"https://github.com/muratcankoylan/Agent-Skills-for-Context-Engineering/tree/main/skills/context-fundamentals","github_repo":"muratcankoylan/Agent-Skills-for-Context-Engineering","version":"1.0.0","license":"MIT","urls":{"web":"https://www.openagentskill.com/skills/muratcankoylan-context-fundamentals","repository":"https://github.com/muratcankoylan/Agent-Skills-for-Context-Engineering/tree/main/skills/context-fundamentals","api":"/api/agent/skills/muratcankoylan-context-fundamentals","install_api":"/api/skills/muratcankoylan-context-fundamentals/install"},"meta":{"created_at":"2026-09-02T03:42:14.367233+00:00","updated_at":"2026-09-02T03:42:14.496605+00:00","agent_friendly":true}}