Agent skill · Code Review & Quality

retentioneering-contributing

Help the user turn their Retentioneering ideas, friction reports, bug findings, or feature needs into high-quality upstream contributions: from capturing and validating the idea, through minimal reproductions and issue drafts, to preparing, testing, and submitting a pull request that follows this repository's conventions. Use when the user says they found a bug, wants a feature, wrote a workaround worth upstreaming, or asks how to contribute, open an issue, or make a PR to retentioneering-tools.

retentioneeringgithub.com/retentioneeringGitHub ↗
claude-codeApache-2.0
Install
npx skills add retentioneering/retentioneering-tools --skill retentioneering-contributing --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 3
SKILL.md size: 7 KB
Bundled scripts: none
Version: 1.0.0
Declared author: retentioneering
Requires: Requires a git checkout of retentioneering-tools, Python >= 3.11 with uv, and Node.js only when JS/widget code is…
Path: .agents/skills/retentioneering-contributing/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 911
Language: Python

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# Contributing to retentioneering-tools ## Objective Convert a user's observation — a bug, a paper cut, a missing capability, a workaround they keep re-writing — into the smallest upstream change that would have prevented it, packaged so maintainers can accept it quickly. ## Bundled references | File | Read it when | |---|---| | `references/repo-conventions.md` | before touching code — build/test/docs commands, architecture rules, naming, sync obligations | | `references/proposal-templates.md` | when drafting — issue/feature/PR templates with worked examples | ## The full route: idea → merged PR ### Stage 1 — Capture the observation properly (do this even for "small" ideas) Record four things while they are fresh: 1. **Expectation** — what the user believed would happen (quote the docstring/docs page that created the expectation, if any). 2. **Reality** — what actually happened (exact error text or wrong output). 3. **Cost** — time lost, wrong conclusion nearly shipped, workaround written. 4. **Environment** — `retentioneering.__version__`, Python, OS, install source (pip wheel vs source checkout). Field lesson: reports formatted as expectation/reality/cost/repro get acted on; "X i

What's inside
Steps it walks through
  1. Objective
  2. Bundled references
  3. The full route: idea → merged PR
  4. Stage 1 — Capture the observation properly (do this even for "small" ideas)
  5. Stage 2 — Validate against the CURRENT version
  6. Stage 3 — Minimal reproduction (the heart of a bug report)
  7. Stage 4 — Choose the contribution shape
  8. Stage 5 — Implement (when making a PR, not just an issue)
  9. Stage 6 — Pre-flight and submit
  10. Stage 7 — Follow through
  11. Portfolio mode: many observations at once
Ships with 2 files
  • references/proposal-templates.md
  • references/repo-conventions.md
Commands it runs
uv run pre-commit run --all-files      # ruff lint+format, gitleaks, hygiene
uv run pytest tests/ -v                # full suite (CI runs 3.11–3.13)
uv run python docs/scripts/render_pages.py   # if docstrings changed
git push -u origin <branch>
gh pr create --title "<imperative summary>" --body-file pr_body.md
More from retentioneering-tools
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About this skill
What does the retentioneering-contributing skill do?

Help the user turn their Retentioneering ideas, friction reports, bug findings, or feature needs into high-quality upstream contributions: from capturing and validating the idea, through minimal reproductions and issue drafts, to preparing, testing, and submitting a pull request that follows this repository's conventions. Use when the user says they found a bug, wants a feature, wrote a workaround worth upstreaming, or asks how to contribute, open an issue, or make a PR to retentioneering-tools.

How do I install it?

Run `npx skills add retentioneering/retentioneering-tools --skill retentioneering-contributing --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From retentioneering/retentioneering-tools, a repository with 911 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

Keep going