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Productivity · Version 1.3.0 · Reviewed 2026-08-02

Codebase Onboarding Guide Generator

Turn engineering context into a reliable artifact for local setup guide and architecture learning path with evidence, explicit trade-offs, and a verification plan.

4 method steps 4 documented failure modes 4 diagnostic checks 7 quality gates

Creates a role-aware onboarding path from repository evidence, including setup, first successful run, architecture landmarks, debugging routes, and contribution boundaries.

₹199 one-time

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What this skill helps you do

  • Local setup guide
  • Architecture learning path
  • First-contribution route

How Codebase Onboarding Guide Generator works

You provide

Repository access, entry points, and the target change

It inspects

Real execution path for local setup guide, not naming

It decides

A architecture learning path explanation with safe change seams

You verify

Claims confirmed against code paths or a test

What it checks first

Codebase Onboarding Guide Generator creates a role-aware onboarding path from repository evidence, including setup, first successful run, architecture landmarks, debugging routes, and contribution boundaries. Use it when the work involves Local setup guide, Architecture learning path, First-contribution route.

  1. The entry points and the data flow between them, which is the fastest way to build an accurate mental model.
  2. Where behavior is actually decided, rather than where it appears to be configured.
  3. Which parts change frequently, since those carry the most current knowledge and the most risk.
  4. The seams where a change can be made safely without a wide blast radius.

Failure modes it recognizes

  • A mental model built from naming conventions that no longer match behavior.
  • Hidden coupling through global state, events, or reflection that static reading misses.
  • Dead code that appears authoritative and misleads the reader.
  • Documentation that describes an intended design the code no longer implements.

Answers it will reject

  • Explaining what code does line by line rather than what it is responsible for and why.
  • Trusting comments and documentation over the executing code path.
  • Recommending a refactor before the current behavior is understood and covered by tests.

Decision rules it applies

  • Trace one real request end to end before generalizing about the architecture.
  • Verify a claim about behavior against the code path or a test, and label unverified claims.
  • Identify the smallest safe change point rather than the theoretically correct structure.

Evidence it asks for

  • Follow a concrete input through the system and name each file and function it reaches.
  • Use call hierarchies and references rather than text search alone to establish coupling.
  • Confirm behavior with an executable test before changing it.

The method inside

  1. Extract decisions, facts, and unresolved questions needed for local setup guide.
  2. Organize architecture learning path around the reader's next decision or action rather than the source order.
  3. Draft first-contribution route with source traceability and no invented behavior.
  4. Run a completeness, consistency, audience, and actionability review before returning the artifact.

Deliverables

  • Local setup guide assessment
  • Architecture learning path decision and action plan
  • First-contribution route verification checklist

Evidence requirements

  • Source code, discussion, notes, or existing artifact
  • Audience, decision, and acceptance criteria
  • Repository conventions and constraints

Quality gates

  • Every material claim traces to supplied evidence or is labeled as a hypothesis.
  • The response follows the declared deliverable contract.
  • No execution, access, measurement, or verification is invented.
  • Secrets and personal data are redacted rather than repeated.
  • The user receives a concrete independent verification step.
  • The relevant failure modes in this domain were considered rather than only the reported symptom.
  • No listed anti-pattern was recommended as a solution.

Example task

Input

Create an onboarding guide for engineers joining this repository, and verify every command instead of repeating stale documentation.

Expected output

Start with the shortest path to a successful build or test, then layer architecture and operational context around real entry points. Commands are executed or marked unverified, ownership and generated boundaries are explicit, and the first contribution is selected for low blast radius and strong feedback...

Boundaries and compatibility

Ideal for

  • Local setup guide: produce a decision or artifact grounded in supplied evidence.
  • Architecture learning path: produce a decision or artifact grounded in supplied evidence.
  • First-contribution route: produce a decision or artifact grounded in supplied evidence.

Out of scope

  • Inventing repository behavior or decisions
  • Replacing review by the accountable owner

Agent compatibility

  • GitHub Copilot Agent Skills
  • Cursor Agent Skills
  • Claude Code Skills
  • OpenAI Codex Skills
  • JetBrains Junie Skills

Tool policy: Advisory by default. No tools are assumed. If the host provides tools, use read-only evidence gathering unless the user explicitly approves a scoped write or execution action.