{"slug":"danicat-engineering-flow","name":"engineering-flow","description":"Engineering standards, decision pipelines, and code hygiene guidelines for software development. Covers architectural decision workflows (RFCs and ADRs), task prioritization, grounded technical research, semantic versioning, and clean code practices like explicit error handling and dead code removal. Activate when designing system architecture, planning releases, refactoring codebases, establishing project standards, or resolving technical uncertainty.","long_description":"---\nname: engineering-flow\ndescription: >\n  Engineering standards, decision pipelines, and code hygiene guidelines for\n  software development. Covers architectural decision workflows (RFCs and ADRs),\n  task prioritization, grounded technical research, semantic versioning, and\n  clean code practices like explicit error handling and dead code removal.\n  Activate when designing system architecture, planning releases, refactoring\n  codebases, establishing project standards, or resolving technical uncertainty.\nlicense: Apache-2.0\nmetadata:\n  category: coding\n  tags: \"engineering, standards, architecture, workflow, quality, hygiene\"\n  author: Daniela Petruzalek (daniela@danicat.dev)\n  version: \"0.2.0\"\n  catalog: https://skills.danicat.dev\n---\n\n# Engineering Flow\n\nEngineering standards, decision pipelines, and code hygiene rules.\n\n---\n\n## Delivery Principles\n\nShip working software in small, verifiable increments:\n- Keep changes scoped to a single logical objective.\n- Avoid speculative abstractions and overengineering.\n- Implement thin, vertical slices from entrypoint to persistence.\n- Verify each slice with automated tests and compiler checks before proceeding.\n\n---\n\n## Design Pipeline: RFCs and ADRs\n\nSeparate exploration from permanent architectural choices:\n\n```mermaid\ngraph TD\n    A[Ambiguous Goal / High Uncertainty] --> B[RFC in design/rfc/]\n    B -->|Consensus Reached| C[ADR in design/adr/]\n    C --> D[Implementation Tasks]\n    E[Trivial / Low-Uncertainty Task] --> D\n```\n\n- RFCs (`design/rfc/`): Use during exploration when requirements are ambiguous, trade-offs need debate, or multiple viable architectures exist. RFCs are fluid working documents.\n- ADRs (`design/adr/`): Use to record finalized decisions. ADRs are immutable historical logs capturing context, chosen architecture, and accepted trade-offs.\n- Tasks: Break ADR conclusions into concrete checklist items with clear acceptance criteria.\n\n---\n\n## Task Prioritization\n\nCategorize work by technical certainty and business value:\n\n| | High Technical Certainty | Low Technical Certainty |\n| :--- | :--- | :--- |\n| **High Value** | **Direct execution**: Implement interactively with compiler feedback and tight test loops. | **Research & Spikes**: Do not write production code yet. Run throwaway spikes in `scratch/` or draft an RFC. |\n| **Low Value** | **Delegate**: Offload to background tasks or subagents. | **Defer / Discard**: Drop or postpone until certainty increases or value is demonstrated. |\n\n---\n\n## Research & Evidence Hierarchy\n\nDo not guess APIs, package syntax, or model behaviors. Ground technical decisions in primary sources:\n\n```text\n[1] Source Code (highest authority)\n  └── [2] Official Documentation & API Reference\n        └── [3] Official Release Notes & Announcements\n              └── [4] Industry Expert Articles (< 3 months old)\n                    └── [5] Community Posts (< 3 months old)\n                          └── [6] Stale Articles (> 3 months old — discard)\n                                └── [7] Social Media (unverified — cross-check first)\n```\n\nResearch rules:\n- Test APIs and compiler behavior with throwaway scripts in `scratch/` before modifying production code.\n- Discard community posts older than 3 months for fast-moving packages and AI tooling.\n- Always include clickable URLs when citing documentation or external examples.\n\n---\n\n## Dependency Version Verification\n\nNever guess version numbers, dependency syntax, or model names:\n- Inspect local project manifests (`go.mod`, `package.json`, `pyproject.toml`) for existing pinned constraints.\n- Query package registries directly (`npm view <pkg> version`, `go list -m -versions <pkg>`, `pip index versions <pkg>`) or verify current dependency documentation.\n- Verify AI model names and API versions against current official documentation before updating API calls (e.g., verifying current Gemini model names against Google GenAI documentation).\n\n---\n\n## Semantic Versioning & 0.x Zero-Debt Rule\n\nFollow Semantic Versioning (`MAJOR.MINOR.PATCH`):\n- Increment `MAJOR` (`X.0.0`) for backwards-incompatible API changes.\n- Increment `MINOR` (`x.Y.0`) for backwards-compatible new features.\n- Increment `PATCH` (`x.y.Z`) for backwards-compatible bug fixes.\n\n### The 0.x Zero-Debt Policy\n- In `0.x` development, never attempt backwards compatibility.\n- Do not add compatibility shims, deprecation wrappers, alias redirects, or fallback branches to support previous `0.x` shapes. Refactor callers and interfaces directly.\n\n---\n\n## Broken Window Code Hygiene\n\nEnforce clean code standards across every edit:\n- Delete dead code, unreachable branches, unused variables, and stale comments immediately.\n- Implementation comments must explain current logic only. Never write comments detailing how earlier versions worked or why code was rewritten; historical context belongs exclusively in ADRs and RFCs.\n- Keep names clean, unambiguous, and consistent across variables, types, and files.\n- Handle every error explicitly at the origin point. Never discard errors (e.g., `_ = err`, empty `catch`, or unhandled promises).\n- Never suppress linter errors with ignore directives (`//nolint`, `# noqa`, `eslint-disable`). Fix the underlying code.\n- Logging is not error handling. An error must be handled, propagated to the caller, or aborted with a clean exit.\n\n---\n\n## Pre-Release Quality Gate\n\nBefore staging, committing, or pushing code:\n- Run the full build, format, lint, and test suite.\n- Verify all modified files satisfy the Broken Window Code Hygiene criteria.\n- Never commit or push with failing tests, broken formatting, or active lint errors.\n","tagline":"Engineering standards, decision pipelines, and code hygiene guidelines for software development. Covers architectural decision workflows (RFCs and ADRs), task prioritization, grounded technical research, semantic versioning, and clean code practices like explicit error handling a","category":"research","tags":["agent-skill"],"author":"danicat","verified":false,"attribution":{"status":"registry_indexed","statusLabel":"Registry indexed","shortLabel":"REGISTRY INDEXED","sourceLabel":"recursive skill source sync","sourceDetail":"danicat/skills","creatorName":"danicat","creatorUrl":"https://github.com/danicat","sourceUrl":"https://github.com/danicat/skills/tree/main/coding/engineering-flow","indexedBy":"OpenAgentSkill community index","claimUrl":"https://www.openagentskill.com/skills/danicat-engineering-flow#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":16,"forks":3,"verified_installs":0,"successful_runs":0,"total_outcomes":0,"rating":0,"review_count":0,"quality_score":32.16},"quality":{"score":59,"tier":"promising","label":"Promising","summary":"Useful candidate, but compare it with alternatives before adopting.","signals":[{"label":"GitHub stars","value":"16","tone":"neutral"},{"label":"Freshness","value":"Today","tone":"positive"},{"label":"Install ready","value":"Yes","tone":"positive"},{"label":"License","value":"Apache-2.0","tone":"neutral"}],"warnings":["Low GitHub adoption signal"]},"trust":{"version":"trust-score-v5","score":67,"base_score":75,"outcome_confidence":0,"tier":"review","label":"Sandbox only","summary":"Useful candidate with missing or mixed trust signals. 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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 \"engineering-flow\" as a Claude Code skill from https://github.com/danicat/skills/tree/main/coding/engineering-flow. 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: Engineering standards, decision pipelines, and code hygiene guidelines for software development. Covers architectural decision workflows (RFCs and ADRs), task prioritization, grounded technical research, semantic versioning, and clean code practices like explicit error handling and dead code removal. Activate when designing system architecture, planning releases, refactoring codebases, establishing project standards, or resolving technical uncertainty. 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\":\"danicat-engineering-flow\",\"task\":\"Install engineering-flow\",\"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 \"engineering-flow\" from https://github.com/danicat/skills/tree/main/coding/engineering-flow 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: Engineering standards, decision pipelines, and code hygiene guidelines for software development. 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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":78,"risk_level":"needs_review","risk_label":"Needs review","warnings":["Low GitHub adoption signal","Quality score needs review","GitHub adoption: 16 GitHub stars","Stars/forks activity: 16 stars, 3 forks; issue activity unavailable in current metadata"]},"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":59,"label":"Promising"},"supply":{"track":"Research and knowledge work","scenario":"RAG and knowledge","maintenance":"Pushed today","risk":"Needs review"},"alternative_skills":[],"do_not_use_when":["teams that need a vendor-supported SLA","production agents without a repository review","Low GitHub adoption signal","No OpenAgentSkill engagement data yet","Quality score needs review","GitHub adoption: 16 GitHub stars","Stars/forks activity: 16 stars, 3 forks; issue activity unavailable in current metadata","Production credentials, payments, or irreversible account changes without explicit human review"],"agent_contract":{"task_input":"Use engineering-flow in an agent workflow","recommended_action":"Require human approval before installing into a real workspace.","install_policy":"review","minimum_review_before_use":["Trust: 75/100 Strong shortlist","Audit: 78/100 Needs review","Safety: 58/100 Review before install","Review repository, license, install command, and permission surface before production use."],"expected_agent_output":{"selected_skill":"danicat-engineering-flow (engineering-flow)","install_command":"npx skills add danicat/skills --skill engineering-flow","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":"danicat-engineering-flow","task":"Use engineering-flow 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/danicat-engineering-flow","api":"https://www.openagentskill.com/api/agent/skills/danicat-engineering-flow","audit":"https://www.openagentskill.com/skills/danicat-engineering-flow/audit","eval":"https://www.openagentskill.com/api/agent/evals?slug=danicat-engineering-flow&task=Use%20engineering-flow%20in%20an%20agent%20workflow&max_risk=medium","resolve":"https://www.openagentskill.com/api/agent/resolve?task=Use%20engineering-flow%20in%20an%20agent%20workflow&agent=codex&max_risk=medium","receipt":"https://www.openagentskill.com/api/agent/receipt?task=Use%20engineering-flow%20in%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text","install":"https://www.openagentskill.com/api/skills/danicat-engineering-flow/install","manifest":"https://www.openagentskill.com/api/registry/manifest/danicat-engineering-flow"}},"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":"testing-qa","title":"Testing and QA"},{"slug":"local-desktop","title":"Local desktop"},{"slug":"rag-knowledge","title":"RAG and knowledge"}]},"applicableAgents":["Claude Code","CLI","Codex","Cursor"],"install":{"ready":true,"command":"npx skills add danicat/skills --skill engineering-flow","primaryTarget":"CLI","targetCount":4},"githubQuality":{"stars":16,"starsLabel":"16","forks":3,"license":"Apache-2.0","qualityScore":59,"trustScore":75,"auditScore":78},"maintenance":{"status":"fresh","label":"Pushed today","daysSincePush":0,"lastPushedAt":"2026-08-23T23:26:16+00:00"},"risk":{"level":"needs_review","label":"Needs review","requiresReview":true,"notes":["Low GitHub adoption signal","Quality score needs review","GitHub adoption: 16 GitHub stars","Stars/forks activity: 16 stars, 3 forks; issue activity unavailable in current metadata","Needs review"]},"coverageTags":["Research","RAG and knowledge","agent-skill"]},"audit":{"audit_score":78,"risk_level":"needs_review","risk_label":"Needs review","quality_score":59,"trust_score":75,"maintenance_score":100,"security_score":85,"install_score":92,"warnings":["Low GitHub adoption signal","Quality score needs review","GitHub adoption: 16 GitHub stars","Stars/forks activity: 16 stars, 3 forks; issue activity unavailable in current metadata"]},"quality_signals":{"model":"v2","star_score":8.61,"usage_score":0,"review_score":5.55,"metadata_score":3,"freshness_score":15},"platforms":["Claude Code"],"use_cases":[{"slug":"testing-qa","title":"Testing and QA","url":"https://www.openagentskill.com/use-cases/testing-qa"},{"slug":"local-desktop","title":"Local desktop","url":"https://www.openagentskill.com/use-cases/local-desktop"},{"slug":"rag-knowledge","title":"RAG and knowledge","url":"https://www.openagentskill.com/use-cases/rag-knowledge"},{"slug":"browser-automation","title":"Browser automation","url":"https://www.openagentskill.com/use-cases/browser-automation"}],"stacks":[{"slug":"browser-qa-agent","title":"Browser QA agent","url":"https://www.openagentskill.com/collections/browser-qa-agent"},{"slug":"research-report-agent","title":"Research report agent","url":"https://www.openagentskill.com/collections/research-report-agent"},{"slug":"content-growth-agent","title":"Content growth agent","url":"https://www.openagentskill.com/collections/content-growth-agent"}],"install":"npx skills add danicat/skills --skill engineering-flow","install_targets":[{"id":"openagentskill-cli","label":"CLI","title":"OpenAgentSkill CLI","kind":"command","value":"npx --yes https://github.com/Leon-Drq/openagentskill/releases/download/cli-v0.2.1/openagentskill-0.2.1.tgz install danicat-engineering-flow","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 \"engineering-flow\" agent skill from https://github.com/danicat/skills/tree/main/coding/engineering-flow. 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: Engineering standards, decision pipelines, and code hygiene guidelines for software development. Covers architectural decision workflows (RFCs and ADRs), task prioritization, grounded technical research, semantic versioning, and clean code practices like explicit error handling and dead code removal. Activate when designing system architecture, planning releases, refactoring codebases, establishing project standards, or resolving technical uncertainty. 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\":\"danicat-engineering-flow\",\"task\":\"Install engineering-flow\",\"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 \"engineering-flow\" as a Claude Code skill from https://github.com/danicat/skills/tree/main/coding/engineering-flow. 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: Engineering standards, decision pipelines, and code hygiene guidelines for software development. Covers architectural decision workflows (RFCs and ADRs), task prioritization, grounded technical research, semantic versioning, and clean code practices like explicit error handling and dead code removal. Activate when designing system architecture, planning releases, refactoring codebases, establishing project standards, or resolving technical uncertainty. 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\":\"danicat-engineering-flow\",\"task\":\"Install engineering-flow\",\"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 \"engineering-flow\" from https://github.com/danicat/skills/tree/main/coding/engineering-flow 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: Engineering standards, decision pipelines, and code hygiene guidelines for software development. Covers architectural decision workflows (RFCs and ADRs), task prioritization, grounded technical research, semantic versioning, and clean code practices like explicit error handling and dead code removal. Activate when designing system architecture, planning releases, refactoring codebases, establishing project standards, or resolving technical uncertainty. 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\":\"danicat-engineering-flow\",\"task\":\"Install engineering-flow\",\"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/danicat/skills/tree/main/coding/engineering-flow","github_repo":"danicat/skills","version":"1.0.0","license":"Apache-2.0","urls":{"web":"https://www.openagentskill.com/skills/danicat-engineering-flow","repository":"https://github.com/danicat/skills/tree/main/coding/engineering-flow","api":"/api/agent/skills/danicat-engineering-flow","install_api":"/api/skills/danicat-engineering-flow/install"},"meta":{"created_at":"2026-08-24T00:36:42.552789+00:00","updated_at":"2026-08-24T00:36:42.552789+00:00","agent_friendly":true}}