Agent skill

lesson-learned

Analyze recent code changes via git history and extract software engineering lessons. Use when the user asks 'what is the lesson here?', 'what can I learn from this?', 'engineering takeaway', 'what did I just learn?', 'reflect on this code', or wants to extract principles from recent work.

Softaworks2,247★ · +27/wk · 1 repos on radarProfile →
claude-codeMIT
Install
npx skills add softaworks/agent-toolkit --skill lesson-learned --agent claude-code

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

Facts
Files in the skill folder: 4
SKILL.md size: 5 KB
Bundled scripts: none
Path: skills/lesson-learned/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 2,276 · +29 this week
Language: Python
Read our review of the source →

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

From the SKILL.md

# Lesson Learned Extract specific, grounded software engineering lessons from actual code changes. Not a lecture -- a mirror. Show the user what their code already demonstrates. ## Before You Begin **Load the principles reference first.** 1. Read `references/se-principles.md` to have the principle catalog available 2. Optionally read `references/anti-patterns.md` if you suspect the changes include

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About this skill
What does the lesson-learned skill do?

Analyze recent code changes via git history and extract software engineering lessons. Use when the user asks 'what is the lesson here?', 'what can I learn from this?', 'engineering takeaway', 'what did I just learn?', 'reflect on this code', or wants to extract principles from recent work.

How do I install it?

Run `npx skills add softaworks/agent-toolkit --skill lesson-learned --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 softaworks/agent-toolkit, a repository with 2,276 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.

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