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coddy-project / rpa-init

Run when the user invokes /rpa-init or asks to onboard or warm up context on a repository. The agent studies code, reads documentation and test code, sets up the dev environment as the project expects, runs tests, and writes a short project report. No extra user brief is required.

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SKILL.md
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RPA project initialization (context warm-up)

Intent

Treat automated tests as the project long-term memory. Initialization maps documented intent, behavior encoded in tests, and implementation. Prefer learning from tests and docs before inferring only from production code.

Preconditions you must verify yourself

  1. Read application source, docs, and tests (test code is part of the specification).
  2. Dev environment - install dependencies and prepare the environment the repo documents (for example python -m venv .venv, pip install -e ., uv sync, npm ci, or commands from README / CI). If the stack is not Python, follow that ecosystem's norms.
  3. Locate how tests are run. Default for Python: pytest via .venv when present. Respect pytest.ini, pyproject.toml, or tox / nox if present.
  4. Identify entrypoints: README, docs/, package layout, main modules, CLI.

Workflow

  1. Optional git update — if the directory is a git repository and the user has not asked to stay on the current commit, run git pull to refresh the local copy before analysis.
  2. Scan repository structure (layout, monorepo packages if any).
  3. Read user-facing documentation and specs.
  4. Study test code (naming, fixtures, markers, integration vs unit). This is the BDD-facing view of expected behavior.
  5. Set up dev environment so tests can run (create venv, install deps, any documented bootstrap). Note blockers if setup cannot be completed.

  6. Run the test suite, for example:

     .venv/bin/pytest -q

    If tests fail, record where and why (do not fix unless the user asked).

  7. Summarize in a concise report (see template). Use English for code-related terms if the codebase uses English; respond in the user's language for narrative.

Report template

Use this structure (adapt if needed):

## Project snapshot
- Purpose (one paragraph)
- Main packages and boundaries

## Dev environment
- What was installed or configured (venv, package manager, key commands)

## How to run tests
- Commands actually used

## Behavior from tests
- Scenarios covered by tests (bullets)
- Gaps (important paths with weak or missing tests)

## Risks and notes
- Flaky tests, secrets, external services

## Suggested next steps
- 1 to 3 follow-ups

Constraints

  • Comments in any new code: English only.
  • Do not add secrets or keys.
  • If the repository is not Python, still follow the same pattern: official install and test commands, then report.