Agent skill · AI & Agents

iterate-lessons-log

Creates a structured lessons learned entry for organizational memory. Use after an incident, a completed project, or a significant learning to record knowledge for future teams and initiatives. Distinct from iterate-retrospective, which facilitates the team ceremony; this skill writes the durable lessons entry that outlives it.

product-on-purposegithub.com/product-on-purposeGitHub ↗
claude-codecodexApache-2.0
Install
npx skills add product-on-purpose/pm-skills --skill iterate-lessons-log --agent claude-code

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

Facts
Files in the skill folder: 5
SKILL.md size: 4 KB
Bundled scripts: none
Version: 2.1.0
Declared author: product-on-purpose
Path: skills/iterate-lessons-log/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 518
Language: JavaScript

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

From the SKILL.md

<!-- PM-Skills | https://github.com/product-on-purpose/pm-skills | Apache 2.0 --> # Lessons Log A lessons log entry captures significant learning from projects, incidents, or experiences in a format that's useful to future teams who weren't there. Unlike retrospectives (which focus on team improvement), lessons logs focus on organizational knowledge that transcends individual teams.patterns, anti-patterns, and hard-won wisdom. ## When to Use - After completing a significant project or initiative - Following a major incident, outage, or failure - When you realize something important that others should know - After discovering a pattern that keeps recurring - When experienced team members leave (capture their knowledge) - During post-mortems to preserve learnings ## When NOT to Use - You are facilitating the team ceremony itself -> use `iterate-retrospective`; this skill banks the durable entry that outlives it - You are deciding whether to change direction based on results -> use `iterate-pivot-decision` - The learning is an experiment readout -> use `measure-experiment-results` first, then bank the transferable lesson here - You are updating stakeholders on what was learned -> use

What's inside
Steps it walks through
  1. When to Use
  2. When NOT to Use
  3. Instructions
  4. Output Format
  5. Quality Checklist
  6. Examples
Ships with 4 files
  • HISTORY.md
  • evals/trigger-fixtures.json
  • references/EXAMPLE.md
  • references/TEMPLATE.md
More from pm-skills
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About this skill
What does the iterate-lessons-log skill do?

Creates a structured lessons learned entry for organizational memory. Use after an incident, a completed project, or a significant learning to record knowledge for future teams and initiatives. Distinct from iterate-retrospective, which facilitates the team ceremony; this skill writes the durable lessons entry that outlives it.

How do I install it?

Run `npx skills add product-on-purpose/pm-skills --skill iterate-lessons-log --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 product-on-purpose/pm-skills, a repository with 518 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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