{"slug":"johnpapa-ai-ready","name":"ai-ready","description":"**ANALYSIS SKILL** — Analyze any repository and generate AI-ready configuration — AGENTS.md, copilot-instructions.md, skills, CI workflows, issue templates. WHEN: \\\"make this repo ai-ready\\\", \\\"set up AI config\\\", \\\"add copilot instructions\\\", \\\"prepare this repo for AI contributions\\\", \\\"generate AGENTS.md\\\". INVOKES: glob, grep, view, create, edit for repo analysis and file generation. FOR SINGLE OPERATIONS: use create/edit directly for individual config files.","long_description":"---\nname: ai-ready\nlicense: MIT\nmetadata:\n  version: \"1.3.0\"\ndescription: \"**ANALYSIS SKILL** — Analyze any repository and generate AI-ready configuration — AGENTS.md, copilot-instructions.md, skills, CI workflows, issue templates. WHEN: \\\"make this repo ai-ready\\\", \\\"set up AI config\\\", \\\"add copilot instructions\\\", \\\"prepare this repo for AI contributions\\\", \\\"generate AGENTS.md\\\". INVOKES: glob, grep, view, create, edit for repo analysis and file generation. FOR SINGLE OPERATIONS: use create/edit directly for individual config files.\"\n---\n\n# AI-Ready Repo Skill\n\n## Persona\n\nAdopt the perspective of an experienced repo maintainer who has managed high-traffic repos and reviewed thousands of PRs. Prioritize what **reduces review burden and contributor friction**. Every file you generate should earn its place — generic boilerplate creates noise.\n\n---\n\nFollow these steps in order to analyze the current repository and generate all missing AI-ready configuration assets.\n\n**First run vs. re-run:** On the first run, most assets will be missing — the skill creates them. On re-runs, it **audits** existing assets against the current codebase, checking for drift, stale content, and new conventions from recent PR reviews. The skill **never overwrites existing files without user approval**.\n\n**Skipping assets:** If the user's prompt mentions skipping specific assets (e.g., \"skip CI and issue templates\"), respect those exclusions. Still run the full analysis, but skip generation for the excluded assets.\n\n**Report-only mode:** If the user asks for a report without generating files (e.g., \"how ai-ready is this repo?\", \"score this repo\"), run the full analysis (Steps 0–1) and display the report (Step 11) — but skip all generation steps (Steps 2–10).\n\n### The 12 tracked assets\n\nAssets are grouped into three categories. Count assets with **Nailed It** status for the score.\n\n**🤖 AI Context** — what AI agents read to understand your repo\n\n| # | Asset | Generated in |\n|---|-------|-------------|\n| 1 | `AGENTS.md` | Step 2 |\n| 2 | `.github/copilot-instructions.md` | Step 3 |\n| 3 | Maintenance matrix (in `copilot-instructions.md`) | Step 8 |\n| 4 | `.mcp.json` | Step 4b |\n| 5 | `.github/workflows/copilot-setup-steps.yml` | Step 4 |\n\n**🔧 Dev Workflow** — what keeps PRs clean and contributors on track\n\n| # | Asset | Generated in |\n|---|-------|-------------|\n| 6 | CI workflow (`.github/workflows/ci.yml`) | Step 5 |\n| 7 | Issue templates (`.github/ISSUE_TEMPLATE/`) | Step 6 |\n| 8 | PR template (`.github/PULL_REQUEST_TEMPLATE.md`) | Step 6 |\n| 9 | `.github/dependabot.yml` | (checked, not generated) |\n\n**📖 Onboarding** — what helps new contributors get started\n\n| # | Asset | Generated in |\n|---|-------|-------------|\n| 10 | README Contributing section | Step 7 |\n| 11 | Changelog (`CHANGELOG.md`) | Step 9 |\n| 12 | Documentation (or explicit \"not needed\" note) | Step 10 |\n\n**Scoring:** 🟩 Nailed It (counted) · 🟨 Could Be Better (not counted) · ⬜ Missing (not counted)\n\n| Medal | Name | Count | What it means |\n|-------|------|-------|---------------|\n| 🥉 | **Getting Started** | 1–4 | Basics in place but AI agents are mostly guessing |\n| 🥈 | **On Track** | 5–7 | AI agents can help but miss your conventions |\n| 🥇 | **Solid** | 8–10 | AI agents follow your patterns and catch most expectations |\n| 🏆 | **AI-Ready** | 11–12 | AI agents contribute like your best team members |\n\n---\n\n## Step 0 — Detect GitHub context automatically\n\n**Zero user input required.** The skill is GitHub-native — it discovers everything from GitHub's tools.\n\n### 0a. Identify the repo\n\nRun `git remote -v` to extract the GitHub `owner/repo`. If not GitHub, fall back to local-only analysis.\n\n### 0b–0d. Fetch metadata, mine PR reviews, check community health\n\nUse GitHub MCP tools or `gh` CLI to auto-discover repo metadata, PR review patterns, and community health gaps. See [references/github-discovery.md](references/github-discovery.md) for the full API table, PR mining technique, and health gap mapping.\n\nKey insight: **PR review mining is the highest-value step.** Repeated reviewer feedback becomes conventions in `copilot-instructions.md`.\n\n---\n\n## Step 1 — Analyze the codebase\n\nGitHub context tells you *what* the repo is. Local analysis tells you *how* it works. Use glob, grep, and view combined with GitHub context from Step 0.\n\n### 1a. Detect languages, frameworks, and repo type\n\nFind manifest files and extract details. See [references/detection-tables.md](references/detection-tables.md) for the full manifest table, VS Code extension detection, multi-app collections, demo app patterns, and course/tutorial repo detection.\n\nKey detections: lockfiles, runtime version files, monorepo markers, notebooks, VS Code extensions, multi-app collections, demo apps.\n\n**Course repos** (3+ signals: numbered folders, lesson keywords, no primary app) adapt Steps 2–5. See detection-tables.md for the full signal list and step adaptations.\n\n### 1b. Detect test setup\n\nIdentify test runner, find test directories (`tests/`, `__tests__/`, `spec/`, `e2e/`), extract test commands from scripts.\n\n### 1c. Detect CI/CD\n\nCheck `.github/workflows/` for PR triggers. Check for other CI systems. Recognize community workflows (stale, welcome) as valid automation — not missing CI.\n\n### 1d. Check existing AI configuration\n\nCheck for: `AGENTS.md`, `.github/copilot-instructions.md`, `.github/skills/`, `.github/agents/`, `.github/extensions/`, `.devcontainer/`.\n\n**copilot-setup-steps.yml** — check ALL known locations: `.github/workflows/copilot-setup-steps.yml` (canonical), `.github/copilot-setup-steps.yml` (legacy), and repo root. If found in a non-canonical location, flag it for consolidation into `.github/workflows/` — do not create a duplicate.\n\nIf multiple instruction files exist, check for duplicates, contradictions, stale references, and scope clarity. See [references/detection-tables.md](references/detection-tables.md) for drift detection details.\n\n### 1e. Check repo configuration\n\nCheck for: `CODEOWNERS`, `dependabot.yml`, issue templates, PR template, `LICENSE`, README Contributing section.\n\n### 1f–1g. Evaluate changelog and documentation\n\nAssess changelog health (exists, format, freshness). Assess docs (exists, framework, navigation, deploy pipeline, README linkage).\n\n### 1h. Scan directory structure\n\nList top-level directories and immediate children (skip `node_modules`, `.git`, `dist`, `build`, `target`, `vendor`).\n\n### 1i. Compile findings\n\nProduce a structured findings table combining GitHub context and codebase analysis with file-path evidence. See [references/detection-tables.md](references/detection-tables.md) for the full findings table template.\n\nList which of the 12 assets are missing. For existing assets, compare against analysis and flag drift as \"Could Be Better.\"\n\n### 1j. Detect monorepo areas\n\nIf workspace config found, list areas with name, path glob, and primary stack. For large library monorepos, map cross-package dependencies. See [references/detection-tables.md](references/detection-tables.md) for details.\n\n---\n\n## Step 2 — Generate AGENTS.md\n\nIf missing, create `AGENTS.md` at the repo root. If it exists, compare against analysis and flag drift. **Do not overwrite.**\n\nSections: Project Overview (never hardcode versions — reference manifests), Repository Structure, Tech Stack, Build & Run, Testing, Key Patterns and Conventions, CI/CD, Adding a New [Feature/Module] (trace the full registration chain — enums, index re-exports, config declarations), Screen Size / Responsive Rules (UI projects only), Common Pitfalls.\n\n---\n\n## Step 3 — Generate .github/copilot-instructions.md\n\nIf missing, create it. If it exists, compare against analysis — especially new PR review patterns and maintenance matrix drift.\n\nContent: Language-Specific Conventions (separate subsections for multi-language repos), Notebook Conventions (if `.ipynb` detected), Course/Lesson Conventions (if course repo), Framework Patterns, Conventions Mined from PR Reviews, Test Conventions, Code Style Notes (reference linter configs), Asset/Content Rules (if assets detected), **Maintenance Matrix** (trace dependency graphs — the most valuable section).\n\nThe maintenance matrix defines what must be updated when different parts of the codebase change. Populate with real file paths. Trace import chains and registration patterns — don't stop at top-level files.\n\n**Monorepo:** Create `.github/instructions/{area-name}.instructions.md` with `applyTo` patterns for areas with different stacks.\n\n---\n\n## Step 4 — Generate copilot-setup-steps.yml\n\nCheck ALL locations first: `.github/workflows/copilot-setup-steps.yml`, `.github/copilot-setup-steps.yml`, and repo root. If one exists anywhere, do NOT create another — consolidate into `.github/workflows/` if at a legacy location.\n\nIf truly missing from all locations, create `.github/workflows/copilot-setup-steps.yml`. Steps: checkout, set up runtime, install dependencies, install test dependencies, build. Derive from existing CI when possible. For .NET multi-target, install all required SDK versions.\n\n---\n\n## Step 4b — Generate .mcp.json\n\nIf missing, generate `.mcp.json` at the repo root based on detected dependencies (databases, APIs, cloud platforms, browser automation, DevOps tools). Use `${VAR}` for secrets. Only include servers the project actually needs — do not speculatively add servers.\n\n*Why?*: Copilot CLI no longer supports `.vscode/mcp.json` — the correct location is `.mcp.json` at the repo root. If `.vscode/mcp.json` exists, flag it as \"Could Be Better\" and suggest migrating to `.mcp.json`.\n\n---\n\n## Step 5 — Generate CI workflow\n\nIf no PR-triggered workflow exists, create `.github/workflows/ci.yml` with: `pull_request` + `push` triggers with `paths-ignore` for docs/config, a build-and-test job matching the project's actual toolchain. Use the **default branch** detected in Step 0b — do not hardcode `main`. Never modify existing workflows.\n\n---\n\n## Step 6 — Generate issue templates and PR template\n\nIf missing, create bug report and feature request YAML forms, plus a PR template with description, changes, how-to-test, and checklist (derived from maintenance matrix). Note old-format `.md` templates as \"Could Be Better.\"\n\n---\n\n## Step 7 — Update README Contributing section\n\nIf README exists but has no Contributing section: link to `CONTRIBUTING.md` if it exists, otherwise add a Contributing section with fork/branch/PR instructions and test commands. Never rewrite the rest of the README.\n\n---\n\n## Step 8 — Verify maintenance matrix\n\nVerify the matrix in `copilot-instructions.md` covers file cross-references, change cascades, and cross-cutting concerns. Trace actual dependency graphs per language (`.csproj` ProjectReferences, import chains, `mod` declarations, `__init__.py` re-exports).\n\n---\n\n## Step 9 — Evaluate and improve changelog\n\nIf missing, create `CHANGELOG.md` with Keep a Changelog format. If a pointer file, verify the target. If stale, flag with dates. Document non-standard locations in AGENTS.md.\n\n---\n\n## Step 10 — Evaluate and improve documentation\n\nIf docs exist, add to AGENTS.md and copilot-instructions.md. If missing, assess whether needed by project type. Always document docs status in AGENTS.md.\n\n---\n\n## Step 11 — Display the AI-Readiness Report\n\nDisplay the report using the format in [references/report-template.md](references/report-template.md). Include the skill version from frontmatter `metadata.version` at the bottom of the report (e.g., `Assisted by ai-ready v1.0.0`). Then:\n1. Add AI-Ready badge (see report-template.md § 11a)\n2. Offer to create PR (see report-template.md § 11b)\n\n---\n\n## Important Rules\n\n### Do No Harm\n\nThis skill's first obligation is to leave the repo in a **better state than it found it — never worse**. Every rule below serves this principle.\n\n- **NEVER create duplicates** — before creating any file, check ALL known locations (canonical, legacy, and root). If a file exists anywhere, do not create another co","tagline":"**ANALYSIS SKILL** — Analyze any repository and generate AI-ready configuration — AGENTS.md, copilot-instructions.md, skills, CI workflows, issue templates. WHEN: \\\"make this repo ai-ready\\\", \\\"set up AI config\\\", \\\"add copilot instructions\\\", \\\"prepare this repo for AI contribut","category":"automation","commerce":{"type":"unknown","billing":"unknown","amount":null,"currency":null,"sourceUrl":null,"checkedAt":null,"runtime":"unknown","purchaseUrl":null,"checkout":"external","purchaseRequiresUserConsent":true},"tags":["agent-skill"],"author":"johnpapa","verified":false,"attribution":{"status":"registry_indexed","statusLabel":"Registry indexed","shortLabel":"REGISTRY INDEXED","sourceLabel":"github candidate review","sourceDetail":"johnpapa/ai-ready","creatorName":"johnpapa","creatorUrl":"https://github.com/johnpapa","sourceUrl":"https://github.com/johnpapa/ai-ready/tree/main/skills/ai-ready","indexedBy":"OpenAgentSkill community index","claimUrl":"https://www.openagentskill.com/skills/johnpapa-ai-ready#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":154,"forks":15,"verified_installs":0,"successful_runs":0,"total_outcomes":0,"rating":0,"review_count":0,"quality_score":38.73},"quality":{"score":66,"tier":"promising","label":"Promising","summary":"Useful candidate, but compare it with alternatives before adopting.","signals":[{"label":"GitHub stars","value":"154","tone":"neutral"},{"label":"Freshness","value":"1mo ago","tone":"positive"},{"label":"Install ready","value":"Yes","tone":"positive"},{"label":"License","value":"MIT","tone":"neutral"}],"warnings":[]},"trust":{"version":"trust-score-v5","score":63,"base_score":71,"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":["63/100 Trust Score v5","71/100 Trust Score v4 baseline","Needs more real agent outcomes before unattended install","Install path is missing","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":62,"weight":0.13,"status":"info","detail":"154 GitHub stars"},{"id":"repo_activity","label":"Stars/forks activity","score":57,"weight":0.08,"status":"warn","detail":"154 stars, 15 forks; issue activity unavailable in current metadata"},{"id":"maintenance","label":"Recent maintenance","score":88,"weight":0.14,"status":"pass","detail":"1mo 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":46,"weight":0.12,"status":"warn","detail":"command execution surface, credential or environment access"},{"id":"installability","label":"Install availability","score":92,"weight":0.1,"status":"pass","detail":"npx skills add johnpapa/ai-ready --skill ai-ready"},{"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":22,"weight":0.07,"status":"fail","detail":"secrets or environment access, shell or command execution"},{"id":"repository","label":"Repository evidence","score":86,"weight":0.04,"status":"pass","detail":"https://github.com/johnpapa/ai-ready/tree/main/skills/ai-ready"},{"id":"review_status","label":"Review status","score":88,"weight":0.05,"status":"pass","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":"info","label":"GitHub adoption","detail":"154 GitHub stars"},{"status":"warn","label":"Stars/forks activity","detail":"154 stars, 15 forks; 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issue activity unavailable in current metadata","Dependency/runtime risk: command execution surface, credential or environment access","Permission surface: secrets or environment access, shell or command execution","No real agent outcome reports yet","Human review required before unattended installation"],"evidence":{"stars":"154 GitHub stars","repoActivity":"154 stars, 15 forks","lastPushed":"1mo since push","license":"MIT","repository":"https://github.com/johnpapa/ai-ready/tree/main/skills/ai-ready","install":"The tracked source changed or could not be synchronized. Review the current source before installing.","installSafety":"standard package or runtime install path","permissionSurface":"secrets or environment access, shell or command execution","documentation":"Strong README/SKILL.md context","agentOutcomes":"No agent outcome data yet","agentProvenScore":0,"outcomeConfidence":"0%","installPolicy":"human_review_before_install"},"installReadiness":{"ready":false,"command":null,"policy":"human_review_before_install","label":"Human review before install","notes":["The tracked source changed or could not be synchronized. Review the current source before installing.","Repository evidence is available","License is declared","No Agent Proven outcome evidence yet","1mo 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":["Quality score needs review","Permission surface needs review: secrets or environment access, shell or command execution","Stars/forks activity: 154 stars, 15 forks; issue activity unavailable in current metadata","Dependency/runtime risk: command execution surface, credential or environment access","Permission surface: secrets or environment access, shell or command execution"]},"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":["automation","agent-skill"],"suited_agents":["Codex","Claude Code","Cursor","OpenAgentSkill CLI"],"install_command":null,"trust_score":63,"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":["automation","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":["Quality score needs review","Permission surface needs review: secrets or environment access, shell or command execution","Stars/forks activity: 154 stars, 15 forks; issue activity unavailable in current metadata","Dependency/runtime risk: command execution surface, credential or environment access","Permission surface: secrets or environment access, shell or command execution"],"backward_compatible":{"trust_score_v4":{"version":"trust-score-v4","score":71,"tier":"review","label":"Manual review","summary":"Potentially useful, but at least one trust signal needs human inspection."}}},"trust_score_v5":{"version":"trust-score-v5","score":63,"base_score":71,"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":["63/100 Trust Score v5","71/100 Trust Score v4 baseline","Needs more real agent outcomes before unattended install","Install path is missing","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":62,"weight":0.13,"status":"info","detail":"154 GitHub stars"},{"id":"repo_activity","label":"Stars/forks activity","score":57,"weight":0.08,"status":"warn","detail":"154 stars, 15 forks; 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