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This skill is optimized for fast fact-gathering and repeatable onboarding outputs.\n\n## Core Capabilities\n\n- Architecture and stack discovery from repository signals\n- Key file and config inventory for new contributors\n- Local setup and common-task guidance generation\n- Audience-aware documentation framing\n- Debugging and contribution checklist scaffolding\n\n---\n\n## When to Use\n\n- Onboarding a new team member or contractor\n- Rebuilding stale project docs after large refactors\n- Preparing internal handoff documentation\n- Creating a standardized onboarding packet for services\n\n---\n\n## Quick Start\n\n```bash\n# 1) Gather codebase facts\npython3 scripts\u002Fcodebase_analyzer.py \u002Fpath\u002Fto\u002Frepo\n\n# 2) Export machine-readable output\npython3 scripts\u002Fcodebase_analyzer.py \u002Fpath\u002Fto\u002Frepo --json\n\n# 3) Use the template to draft onboarding docs\n# See references\u002Fonboarding-template.md\n```\n\n---\n\n## Recommended Workflow\n\n1. Run `scripts\u002Fcodebase_analyzer.py` against the target repository.\n2. Capture key signals: file counts, detected languages, config files, top-level structure.\n3. Fill the onboarding template in `references\u002Fonboarding-template.md`.\n4. Tailor output depth by audience:\n   - Junior: setup + guardrails\n   - Senior: architecture + operational concerns\n   - Contractor: scoped ownership + integration boundaries\n\n---\n\n## Onboarding Document Template\n\nDetailed template and section examples live in:\n- `references\u002Fonboarding-template.md`\n- `references\u002Foutput-format-templates.md`\n\n---\n\n## Common Pitfalls\n\n- Writing docs without validating setup commands on a clean environment\n- Mixing architecture deep-dives into contractor-oriented docs\n- Omitting troubleshooting and verification steps\n- Letting onboarding docs drift from current repo state\n\n## Best Practices\n\n1. Keep setup instructions executable and time-bounded.\n2. Document the \"why\" for key architectural decisions.\n3. Update docs in the same PR as behavior changes.\n4. Treat onboarding docs as living operational assets, not one-time deliverables.\n\n","# Codebase Onboarding\n\n**Tier:** POWERFUL  \n**Category:** Engineering  \n**Domain:** Documentation \u002F Developer Experience\n\n---\n\n## Overview\n\nAnalyze a codebase and generate onboarding documentation for engineers, tech leads, and contractors. This skill is optimized for fast fact-gathering and repeatable onboarding outputs.\n\n## Core Capabilities\n\n- Architecture and stack discovery from repository signals\n- Key file and config inventory for new contributors\n- Local setup and common-task guidance generation\n- Audience-aware documentation framing\n- Debugging and contribution checklist scaffolding\n\n---\n\n## When to Use\n\n- Onboarding a new team member or contractor\n- Rebuilding stale project docs after large refactors\n- Preparing internal handoff documentation\n- Creating a standardized onboarding packet for services\n\n---\n\n## Quick Start\n\n```bash\n# 1) Gather codebase facts\npython3 scripts\u002Fcodebase_analyzer.py \u002Fpath\u002Fto\u002Frepo\n\n# 2) Export machine-readable output\npython3 scripts\u002Fcodebase_analyzer.py \u002Fpath\u002Fto\u002Frepo --json\n\n# 3) Use the template to draft onboarding docs\n# See references\u002Fonboarding-template.md\n```\n\n---\n\n## Recommended Workflow\n\n1. Run `scripts\u002Fcodebase_analyzer.py` against the target repository.\n2. Capture key signals: file counts, detected languages, config files, top-level structure.\n3. Fill the onboarding template in `references\u002Fonboarding-template.md`.\n4. Tailor output depth by audience:\n   - Junior: setup + guardrails\n   - Senior: architecture + operational concerns\n   - Contractor: scoped ownership + integration boundaries\n\n---\n\n## Onboarding Document Template\n\nDetailed template and section examples live in:\n- `references\u002Fonboarding-template.md`\n- `references\u002Foutput-format-templates.md`\n\n---\n\n## Common Pitfalls\n\n- Writing docs without validating setup commands on a clean environment\n- Mixing architecture deep-dives into contractor-oriented docs\n- Omitting troubleshooting and verification steps\n- Letting onboarding docs drift from current repo state\n\n## Best Practices\n\n1. Keep setup instructions executable and time-bounded.\n2. Document the \"why\" for key architectural decisions.\n3. Update docs in the same PR as behavior changes.\n4. 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