iterate-lessons-log
About
This skill creates structured lessons learned entries to capture organizational knowledge from projects or incidents. It focuses on preserving patterns, anti-patterns, and key insights for future teams beyond immediate retrospectives. Use it after significant initiatives or failures to document hard-won wisdom in a reusable format.
Quick Install
Claude Code
Recommendednpx skills add product-on-purpose/pm-skills -a claude-code/plugin add https://github.com/product-on-purpose/pm-skillsgit clone https://github.com/product-on-purpose/pm-skills.git ~/.claude/skills/iterate-lessons-logCopy and paste this command in Claude Code to install this skill
Documentation
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
Instructions
When asked to create a lessons log entry, follow these steps:
-
Choose a Descriptive Title Write a title that someone searching for this topic would find. Include keywords that describe the situation and the learning. Avoid generic titles like "Project X lessons."
-
Provide Context Explain the situation fully enough that someone who wasn't there can understand it. Include the project, timeline, team, and any relevant constraints. Future readers need this context to assess applicability.
-
Describe What Happened Write a factual account of what occurred. Be specific about actions taken, decisions made, and outcomes observed. Avoid blame.focus on events and systems.
-
Extract the Lesson Articulate what you learned clearly. The lesson should be actionable.something others can apply. Distinguish between what you observed and your interpretation of why it matters.
-
Formulate Recommendations Provide specific guidance for future teams facing similar situations. What should they do? What should they avoid? What questions should they ask?
-
Define Applicability Help readers know when this lesson applies. What situations trigger relevance? What context makes it more or less applicable?
-
Add Tags for Searchability Include keywords and categories that will help future searchers find this entry. Think about what someone would search for when facing a similar situation.
Output Format
Use the template in references/TEMPLATE.md to structure the output.
Quality Checklist
Before finalizing, verify:
- Title is descriptive and searchable
- Context is complete enough for someone who wasn't there
- Lesson is clearly articulated and actionable
- Recommendations are specific, not vague
- Entry stands alone (doesn't require external context)
- Tags enable future discovery
Examples
See references/EXAMPLE.md for a completed example.
GitHub Repository
Related Skills
content-collections
MetaThis skill provides a production-tested setup for Content Collections, a TypeScript-first tool that transforms Markdown/MDX files into type-safe data collections with Zod validation. Use it when building blogs, documentation sites, or content-heavy Vite + React applications to ensure type safety and automatic content validation. It covers everything from Vite plugin configuration and MDX compilation to deployment optimization and schema validation.
polymarket
MetaThis skill enables developers to build applications with the Polymarket prediction markets platform, including API integration for trading and market data. It also provides real-time data streaming via WebSocket to monitor live trades and market activity. Use it for implementing trading strategies or creating tools that process live market updates.
creating-opencode-plugins
MetaThis skill helps developers create OpenCode plugins that hook into 25+ event types like commands, files, and LSP operations. It provides the plugin structure, event API specifications, and implementation patterns for JavaScript/TypeScript modules. Use it when you need to intercept, monitor, or extend the OpenCode AI assistant's lifecycle with custom event-driven logic.
sglang
MetaSGLang is a high-performance LLM serving framework that specializes in fast, structured generation for JSON, regex, and agentic workflows using its RadixAttention prefix caching. It delivers significantly faster inference, especially for tasks with repeated prefixes, making it ideal for complex, structured outputs and multi-turn conversations. Choose SGLang over alternatives like vLLM when you need constrained decoding or are building applications with extensive prefix sharing.
