{"slug":"levnikolaevich-ln-73-system-design-proposal-builder","name":"ln-73-system-design-proposal-builder","description":"Creates a decision-complete target system design from requirements and constraints. Use before implementation planning; not for requirements baselines, reviews, audits, or code changes.","long_description":"---\nname: ln-73-system-design-proposal-builder\ndescription: \"Creates a decision-complete target system design from requirements and constraints. Use before implementation planning; not for requirements baselines, reviews, audits, or code changes.\"\n---\n\n# System Design Proposal Builder\n\n**Goal:** Create a proportionate, evidence-backed target system design that turns requirements into explicit boundaries, contracts, data flow, failure behavior, operations, and tradeoffs. Change only the approved design document; do not implement, audit, or approve the delivery.\n\n**Execution contract:** Treat the ordered checkbox workflow below as this skill's Definition of Done. Track every checkbox as `PENDING`, then resolve it to `PROVEN` with concrete evidence, `CLEARED` with evidence that its conditional trigger is absent, or `UNPROVEN`; reading, mentioning, delegating, skipping, or tool failure is not proof.\nBefore returning, resolve every `PENDING`, count only `PROVEN` and `CLEARED` items as complete, apply this skill's verdict, decision, and approval rules to every `UNPROVEN`, and prepend **Checklist: X/Y complete**<br>**Incomplete: None | section/item — reason; outcome impact; exact next action**; list every `UNPROVEN` item.\n\n## Tool Routing\n\n| Need | Preferred capability | Fallback |\n|---|---|---|\n| Requirements and constraints | Approved requirements, baseline, decisions, and direct stakeholder input | Mark material gaps and ask the smallest decision question |\n| Current implementation and conventions | Repository search, manifests, entrypoints, and architecture artifacts | Treat as greenfield only when the user or repository establishes that fact; otherwise mark current state `UNKNOWN` and return `REVISE` or `BLOCKED` when the gap can change boundaries, compatibility, or migration |\n| External capabilities and limits | Current official documentation and specifications | Mark claims `UNVERIFIED`; avoid vendor-dependent commitment |\n| Estimates | Reproducible arithmetic from sourced workload assumptions | Use ranges and sensitivity; never present estimates as measurements |\n| Document mutation | Minimal patch to the approved target-design artifact | Return `BLOCKED` if scope or path is unsafe |\n\nUse patterns as candidate solutions, not goals. Introduce infrastructure only when a requirement, failure mode, ownership boundary, or measured horizon pays for its lifecycle cost.\n\n## Artifact Rules\n\n- Reuse a clear target-design document; otherwise use `docs/architecture/target-design.md`.\n- Read available baseline, current-state, decision, interface, diagram, and migration artifacts by path; none is mandatory.\n- Label facts, assumptions, estimates, proposed decisions, and unresolved choices separately.\n- Start with requirements and estimates, then domains and contracts, HLD, and only the critical LLD.\n- Consider at least two credible alternatives for consequential decisions, including the simplest option.\n- Prefer reversible choices and a modular monolith unless evidence justifies independent service boundaries.\n- Do not silently change an accepted decision; record the conflict and required governance action.\n\n## Checklist\n\n### 1. Frame the Design\n\n- [ ] Resolve business outcome, actors, critical journeys, scope, non-goals, decision horizon, and intended readers.\n- [ ] Read repository instructions and inspect relevant architecture artifacts and current implementation.\n- [ ] Extract functional requirements and measurable quality drivers, preserving their source and status.\n- [ ] Identify architecture-critical unknowns and ask only questions whose answers change the target shape.\n- [ ] Return `BLOCKED` when a required business boundary or safety constraint cannot be responsibly assumed.\n\n### 2. Estimate Before Choosing Components\n\n- [ ] Estimate average and peak request or event rates, concurrency, payload and bandwidth, storage growth, retention, and recovery volume where relevant.\n- [ ] Show formulas, ranges, growth horizon, and assumptions; identify the variables that can reverse a choice.\n- [ ] Identify likely first bottlenecks and explicit thresholds for deferred scaling mechanisms.\n- [ ] Separate availability, latency, durability, consistency, security, cost, and operability requirements from implementation preferences.\n- [ ] Reject speculative scale and list complex mechanisms intentionally deferred.\n\n### 3. Define Domains, Data, and Contracts\n\n- [ ] Map business capabilities, domains or modules, ownership, invariants, and allowed dependency direction.\n- [ ] Define systems of record, data models at architecture depth, lifecycle, retention, consistency, and transaction boundaries.\n- [ ] Define public APIs, events, commands, schemas, errors, idempotency, ordering, versioning, and compatibility expectations.\n- [ ] Define trust boundaries, identities, authorization, sensitive data, secrets, abuse controls, and audit needs proportionate to risk.\n- [ ] Keep framework and vendor details outside the core model unless they are genuine constraints.\n\n### 4. Build HLD and Critical LLD\n\n- [ ] Describe system context, deployable units, stores, queues, external systems, responsibilities, and labeled data flows.\n- [ ] Trace success, overload, dependency failure, partial failure, retry, timeout, degradation, recovery, and cancellation for critical journeys.\n- [ ] Deep-dive only the two or three components with the highest correctness, scale, security, or reversibility risk.\n- [ ] Define observability, SLI measurement points, health, deployment strategy, rollback, backup, and operator actions.\n- [ ] Define ownership, team impact, cost drivers, and operational burden for the proposed topology.\n\n### 5. Decide and Validate\n\n- [ ] Compare credible alternatives against requirements, estimates, failure behavior, complexity, cost, migration, and future triggers.\n- [ ] State selected and rejected options with consequences, sensitivity points, and assumptions that would reopen the decision.\n- [ ] Identify significant decisions that deserve their own compact decision records without requiring another workflow.\n- [ ] Define architecture acceptance evidence: contract checks, load or failure experiments, security validation, recovery proof, and observability signals.\n- [ ] Outline current-to-target implications and compatibility needs without expanding into a full implementation plan.\n\n### 6. Write and Report\n\n- [ ] Write context, drivers, estimates, domains, contracts, HLD, critical LLD, failure and operations model, security, alternatives, decisions, validation, open questions, and evolution triggers.\n- [ ] Preserve existing content outside the approved scope and link shared artifacts only by document path or title.\n- [ ] Re-read the proposal for unsupported facts, hidden decisions, mixed abstraction, and unjustified machinery.\n- [ ] Confirm no code, tests, delivery plan, audit result, or external state changed.\n- [ ] Use `READY` only when the design is decision-complete enough for implementation planning; use `REVISE` for material but solvable gaps; use `BLOCKED` when required intent, evidence, authority, or destination is unavailable.\n\n## Output Contract\n\n```markdown\n# System Design Proposal\n\n**Verdict:** READY | REVISE | BLOCKED\n**Artifact:** path\n\n## Target design\n- Requirements, estimates, boundaries, contracts, HLD, and critical LLD\n\n## Decisions and tradeoffs\n| Decision | Selected option | Alternatives | Evidence | Reopen trigger |\n|---|---|---|---|---|\n\n## Validation and transition\n- Required evidence, compatibility, rollout, rollback, and observability\n\n## Open decisions and residual risks\nOnly items that can still change implementation planning.\n```\n","tagline":"Creates a decision-complete target system design from requirements and constraints. Use before implementation planning; not for requirements baselines, reviews, audits, or code changes.","category":"security","tags":["agent-skill"],"author":"levnikolaevich","verified":false,"attribution":{"status":"registry_indexed","statusLabel":"Registry indexed","shortLabel":"REGISTRY INDEXED","sourceLabel":"recursive skill source sync","sourceDetail":"levnikolaevich/claude-code-skills","creatorName":"levnikolaevich","creatorUrl":"https://github.com/levnikolaevich","sourceUrl":"https://github.com/levnikolaevich/claude-code-skills/tree/master/plugins/architecture-suite/skills/ln-73-system-design-proposal-builder","indexedBy":"OpenAgentSkill community index","claimUrl":"https://www.openagentskill.com/skills/levnikolaevich-ln-73-system-design-proposal-builder#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":554,"forks":83,"verified_installs":0,"successful_runs":0,"total_outcomes":0,"rating":0,"review_count":0,"quality_score":42.76},"quality":{"score":75,"tier":"strong","label":"Strong","summary":"Solid option that is likely worth shortlisting for production workflows.","signals":[{"label":"GitHub stars","value":"554","tone":"positive"},{"label":"Freshness","value":"8d ago","tone":"positive"},{"label":"Install ready","value":"Yes","tone":"positive"},{"label":"License","value":"MIT","tone":"neutral"}],"warnings":[]},"trust":{"version":"trust-score-v5","score":73,"base_score":81,"outcome_confidence":0,"tier":"review","label":"Sandbox only","summary":"Useful candidate with missing or mixed trust signals. 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Skill purpose: Creates a decision-complete target system design from requirements and constraints. Use before implementation planning; not for requirements baselines, reviews, audits, or code changes. 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\":\"levnikolaevich-ln-73-system-design-proposal-builder\",\"task\":\"Install ln-73-system-design-proposal-builder\",\"agent\":\"cursor\",\"outcome\":\"success\",\"install_used\":true}. Replace event_id with a unique value and outcome with success or failed. 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Report success only after the skill is installed and a minimal verification passes."},{"id":"claude-code","label":"Claude Code","kind":"agent-prompt","value":"Add \"ln-73-system-design-proposal-builder\" as a Claude Code skill from https://github.com/levnikolaevich/claude-code-skills/tree/master/plugins/architecture-suite/skills/ln-73-system-design-proposal-builder. 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: Creates a decision-complete target system design from requirements and constraints. Use before implementation planning; not for requirements baselines, reviews, audits, or code changes. 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\":\"levnikolaevich-ln-73-system-design-proposal-builder\",\"task\":\"Install ln-73-system-design-proposal-builder\",\"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 \"ln-73-system-design-proposal-builder\" from https://github.com/levnikolaevich/claude-code-skills/tree/master/plugins/architecture-suite/skills/ln-73-system-design-proposal-builder 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: Creates a decision-complete target system design from requirements and constraints. Use before implementation planning; not for requirements baselines, reviews, audits, or code changes. 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\":\"levnikolaevich-ln-73-system-design-proposal-builder\",\"task\":\"Install ln-73-system-design-proposal-builder\",\"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/levnikolaevich-ln-73-system-design-proposal-builder/install","manifest_url":"https://www.openagentskill.com/api/registry/manifest/levnikolaevich-ln-73-system-design-proposal-builder"},"trust":{"score":81,"label":"Strong shortlist","version":"trust-score-v4","install_policy":"human_review_before_install","evidence":{"stars":"554 GitHub stars","repoActivity":"554 stars, 83 forks","lastPushed":"8d since push","license":"MIT","repository":"https://github.com/levnikolaevich/claude-code-skills/tree/master/plugins/architecture-suite/skills/ln-73-system-design-proposal-builder","install":"npx skills add levnikolaevich/claude-code-skills --skill ln-73-system-design-proposal-builder","installSafety":"standard package or runtime install path","permissionSurface":"filesystem or document access, database access","documentation":"Usable metadata, review docs","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":["security","agent-skill"],"known_risks":["Financial research output is not financial advice; require human review before any live investment decision.","Quality score needs review"]},"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":["Financial research output is not financial advice; require human review before any live investment decision","Financial research output is not financial advice; require human review before any live investment decision.","Quality score needs review"]},"safety_gate":{"tier":"reviewed","label":"Reviewed with permission notes","auto_install_policy":"review","auto_install_allowed":false,"human_review_required":true,"blocked":false,"recommended_action":"Require human approval before installing into a real workspace."},"quality":{"score":75,"label":"Strong"},"supply":{"track":"Coding and developer agents","scenario":"GitHub automation","maintenance":"8d since push","risk":"Needs review"},"alternative_skills":[],"do_not_use_when":["teams that need a vendor-supported SLA","high-compliance environments without internal security review","No major risk signals from current metadata","Financial research output is not financial advice; require human review before any live investment decision","Financial research output is not financial advice; require human review before any live investment decision.","Quality score needs review","Production credentials, payments, or irreversible account changes without explicit human review","Sensitive private data before reviewing repository code, license, and permission surface"],"agent_contract":{"task_input":"Use ln-73-system-design-proposal-builder in an agent workflow","recommended_action":"Require human approval before installing into a real workspace.","install_policy":"review","minimum_review_before_use":["Trust: 81/100 Strong shortlist","Audit: 84/100 Needs review","Safety: 64/100 Review before install","Review repository, license, install command, and permission surface before production use."],"expected_agent_output":{"selected_skill":"levnikolaevich-ln-73-system-design-proposal-builder (ln-73-system-design-proposal-builder)","install_command":"npx skills add levnikolaevich/claude-code-skills --skill ln-73-system-design-proposal-builder","risk_summary":"Needs review; Reviewed with permission notes; 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":"levnikolaevich-ln-73-system-design-proposal-builder","task":"Use ln-73-system-design-proposal-builder 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/levnikolaevich-ln-73-system-design-proposal-builder","api":"https://www.openagentskill.com/api/agent/skills/levnikolaevich-ln-73-system-design-proposal-builder","audit":"https://www.openagentskill.com/skills/levnikolaevich-ln-73-system-design-proposal-builder/audit","eval":"https://www.openagentskill.com/api/agent/evals?slug=levnikolaevich-ln-73-system-design-proposal-builder&task=Use%20ln-73-system-design-proposal-builder%20in%20an%20agent%20workflow&max_risk=medium","resolve":"https://www.openagentskill.com/api/agent/resolve?task=Use%20ln-73-system-design-proposal-builder%20in%20an%20agent%20workflow&agent=codex&max_risk=medium","receipt":"https://www.openagentskill.com/api/agent/receipt?task=Use%20ln-73-system-design-proposal-builder%20in%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text","install":"https://www.openagentskill.com/api/skills/levnikolaevich-ln-73-system-design-proposal-builder/install","manifest":"https://www.openagentskill.com/api/registry/manifest/levnikolaevich-ln-73-system-design-proposal-builder"}},"supply_profile":{"track":{"slug":"coding","label":"Coding and developer agents","shortLabel":"Coding","description":"Code review, repo analysis, testing, CI, GitHub, DevOps, and developer workflow skills."},"scenario":{"label":"GitHub automation","description":"I need my agent to triage GitHub issues, review pull requests, and summarize repository changes.","useCases":[{"slug":"research-agents","title":"Research agents"},{"slug":"github-automation","title":"GitHub automation"},{"slug":"security-compliance","title":"Security and compliance"}]},"applicableAgents":["Claude Code","CLI","Codex","Cursor"],"install":{"ready":true,"command":"npx skills add levnikolaevich/claude-code-skills --skill ln-73-system-design-proposal-builder","primaryTarget":"CLI","targetCount":4},"githubQuality":{"stars":554,"starsLabel":"554","forks":83,"license":"MIT","qualityScore":75,"trustScore":81,"auditScore":84},"maintenance":{"status":"fresh","label":"8d since push","daysSincePush":8,"lastPushedAt":"2026-08-29T14:22:11+00:00"},"risk":{"level":"needs_review","label":"Needs review","requiresReview":true,"notes":["Financial research output is not financial advice; require human review before any live investment decision","Financial research output is not financial advice; require human review before any live investment decision.","Quality score needs review","Needs review"]},"coverageTags":["Coding","GitHub automation","security","agent-skill"]},"audit":{"audit_score":84,"risk_level":"needs_review","risk_label":"Needs review","quality_score":75,"trust_score":81,"maintenance_score":100,"security_score":86,"install_score":92,"warnings":["Financial research output is not financial advice; require human review before any live investment decision","Financial research output is not financial advice; require human review before any live investment decision.","Quality score needs review"]},"quality_signals":{"model":"v2","star_score":19.21,"usage_score":0,"review_score":5.55,"metadata_score":3,"freshness_score":15},"platforms":["Claude Code"],"use_cases":[{"slug":"research-agents","title":"Research agents","url":"https://www.openagentskill.com/use-cases/research-agents"},{"slug":"github-automation","title":"GitHub automation","url":"https://www.openagentskill.com/use-cases/github-automation"},{"slug":"security-compliance","title":"Security and compliance","url":"https://www.openagentskill.com/use-cases/security-compliance"},{"slug":"coding-agents","title":"Coding agents","url":"https://www.openagentskill.com/use-cases/coding-agents"}],"stacks":[{"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"},{"slug":"rag-knowledge-base","title":"RAG knowledge base","url":"https://www.openagentskill.com/collections/rag-knowledge-base"}],"install":"npx skills add levnikolaevich/claude-code-skills --skill ln-73-system-design-proposal-builder","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 levnikolaevich-ln-73-system-design-proposal-builder","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 \"ln-73-system-design-proposal-builder\" agent skill from https://github.com/levnikolaevich/claude-code-skills/tree/master/plugins/architecture-suite/skills/ln-73-system-design-proposal-builder. 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: Creates a decision-complete target system design from requirements and constraints. Use before implementation planning; not for requirements baselines, reviews, audits, or code changes. 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\":\"levnikolaevich-ln-73-system-design-proposal-builder\",\"task\":\"Install ln-73-system-design-proposal-builder\",\"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 \"ln-73-system-design-proposal-builder\" as a Claude Code skill from https://github.com/levnikolaevich/claude-code-skills/tree/master/plugins/architecture-suite/skills/ln-73-system-design-proposal-builder. 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: Creates a decision-complete target system design from requirements and constraints. Use before implementation planning; not for requirements baselines, reviews, audits, or code changes. 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\":\"levnikolaevich-ln-73-system-design-proposal-builder\",\"task\":\"Install ln-73-system-design-proposal-builder\",\"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 \"ln-73-system-design-proposal-builder\" from https://github.com/levnikolaevich/claude-code-skills/tree/master/plugins/architecture-suite/skills/ln-73-system-design-proposal-builder 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: Creates a decision-complete target system design from requirements and constraints. Use before implementation planning; not for requirements baselines, reviews, audits, or code changes. 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\":\"levnikolaevich-ln-73-system-design-proposal-builder\",\"task\":\"Install ln-73-system-design-proposal-builder\",\"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/levnikolaevich/claude-code-skills/tree/master/plugins/architecture-suite/skills/ln-73-system-design-proposal-builder","github_repo":"levnikolaevich/claude-code-skills","version":"1.0.0","license":"MIT","urls":{"web":"https://www.openagentskill.com/skills/levnikolaevich-ln-73-system-design-proposal-builder","repository":"https://github.com/levnikolaevich/claude-code-skills/tree/master/plugins/architecture-suite/skills/ln-73-system-design-proposal-builder","api":"/api/agent/skills/levnikolaevich-ln-73-system-design-proposal-builder","install_api":"/api/skills/levnikolaevich-ln-73-system-design-proposal-builder/install"},"meta":{"created_at":"2026-08-29T15:36:29.56358+00:00","updated_at":"2026-09-01T11:59:28.941454+00:00","agent_friendly":true}}