Distill session learnings into AGENTS.md guideline improvements.
npx skills add https://github.com/rstacruz/agentic-toolkit --skill reflect-rstacruz
Please help me install this Agent Skill. Skill: reflect Source: https://github.com/rstacruz/agentic-toolkit/tree/main/skill/atk/reflect Command: npx skills add https://github.com/rstacruz/agentic-toolkit --skill reflect-rstacruz
Distill session learnings into concrete improvements for skills and AGENTS.md, helping teams learn from experiences and refine guidelines.
Review a recent session, identify at least three concrete improvements, and draft corresponding AGENTS.md edits to implement them.
High-intent search queries and answers about installing and using this skill.
To turn session learnings into actionable improvements, analyze completed work to identify recurring questions and gaps, then distill these findings into concrete guideline edits for AGENTS.md. This structured review process captures knowledge to guide future agent behavior across sessions.
The best way to capture knowledge from a completed session is to review the work, identify at least three concrete improvements, and draft corresponding AGENTS.md edits. This updates project guidelines with structured patterns and decisions to prevent future missteps.
Refine project guidelines to prevent repeating mistakes by proposing targeted edits to AGENTS.md and AGENTS.local.md. Analyzing recent sessions helps identify recurring gaps and apply structured patterns that guide future agents away from known missteps.
Yes, you can use structured prompts to update AGENTS.md automatically after a session. The process requires these structured prompts to distill session learnings and draft corresponding documentation updates for guideline refinement.
Limitations of using session reviews for guideline enhancement include the requirement for structured prompts and manual documentation updates. The process depends on analyzing completed work to identify gaps, meaning unstructured or poorly documented sessions may yield less actionable improvements.
sandgardenhqAnalyze completed AI factory session artifacts to identify inefficiencies and propose enhancements.
MubasherMohammedDocument coding session learnings into AGENTS.md, CLAUDE.md, or .agents.local.md files.
norrietaylorCapture session decisions and actions as tagged knowledge entries in Distillery.
avelikiyExtract repeating patterns from session logs and lesson files into draft skill files.
