lessons-learned
Lessons Learned
A skill for AI agents to capture and learn from mistakes, preventing repeated errors through structured documentation and knowledge base integration.
Overview
This skill enables AI agents to:
- Recognize situations where lessons should be captured
- Suggest creating lesson entries at appropriate moments
- Maintain a structured knowledge base of past mistakes and solutions
- Automatically review relevant lessons before starting similar tasks
Key principle: Learn once, avoid forever.
When to Trigger
AI should suggest creating a lesson-learned entry in these situations:
1. After Task Failure or Error
More from softaworks/agent-toolkit
mermaid-diagrams
Comprehensive guide for creating software diagrams using Mermaid syntax. Use when users need to create, visualize, or document software through diagrams including class diagrams (domain modeling, object-oriented design), sequence diagrams (application flows, API interactions, code execution), flowcharts (processes, algorithms, user journeys), entity relationship diagrams (database schemas), C4 architecture diagrams (system context, containers, components), state diagrams, git graphs, pie charts, gantt charts, or any other diagram type. Triggers include requests to "diagram", "visualize", "model", "map out", "show the flow", or when explaining system architecture, database design, code structure, or user/application flows.
4.0Khumanizer
|
3.9Kwriting-clearly-and-concisely
Use when writing prose humans will read—documentation, commit messages, error messages, explanations, reports, or UI text. Applies Strunk's timeless rules for clearer, stronger, more professional writing.
3.8Kqa-test-planner
Generate comprehensive test plans, manual test cases, regression test suites, and bug reports for QA engineers. Includes Figma MCP integration for design validation.
3.7Kdatabase-schema-designer
Design robust, scalable database schemas for SQL and NoSQL databases. Provides normalization guidelines, indexing strategies, migration patterns, constraint design, and performance optimization. Ensures data integrity, query performance, and maintainable data models.
3.7Kskill-judge
Evaluate Agent Skill design quality against official specifications and best practices. Use when reviewing, auditing, or improving SKILL.md files and skill packages. Provides multi-dimensional scoring and actionable improvement suggestions.
3.7K