Turn mistakes and feedback into specific rules for future sessions. The skill records the category, mistake, and correction, proposes an actionable rule, and saves it to project memory only after approval, with optional scope for a single wiki.
中文简介正在准备中。当前显示英语简介。
Capture a correction or lesson as a persistent learning rule with category, mistake, and correction. Stores, categorises, and retrieves rules for future sessions. Use after mistakes or when the user says "remember this", "don't forget", "note this", or "learn from this".
实测评分 未实测
查看安装方法安装前可以查看交给 AI 代理的指令内容。
Capture a lesson from the current session into permanent memory.
Use when the user says "remember this", "add to rules", "don't do that again", or after a mistake is identified.
[LEARN] Category: One-line rule
Mistake: What went wrong
Correction: How it was fixed
Append Wiki: <slug> to bind the rule to a single pro-workflow wiki. The rule loads only when that wiki is in scope, avoiding cross-project pollution:
[LEARN] Editing: Cite a sources.md row before adding any wiki claim.
Wiki: agent-memory
The capture hook auto-detects Wiki: <slug> and links the learning to that wiki via learnings_wiki.
| Category | Examples |
|---|---|
| Navigation | File paths, finding code, wrong file edited |
| Editing | Code changes, patterns, wrong approach |
| Testing | Test approaches, coverage gaps, flaky tests |
| Git | Commits, branches, merge issues |
| Quality | Lint, types, style violations |
| Context | When to clarify, missing requirements |
| Architecture | Design decisions, wrong abstractions |
| Performance | Optimization, O(n^2) loops, memory |
Recent mistake: Edited wrong utils.ts file
[LEARN] Navigation: Confirm full path when multiple files share a name.
Add to LEARNED section? (y/n)
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Coordinate multiple Claude Code sessions on a shared codebase. Organize tasks, dependencies, teammate messages, and file ownership, with guidance on team size, plan approval, and choosing between teams, subagents, and worktrees.
中文简介正在准备中。当前显示英语简介。
Set up project checks when starting work on an unfamiliar codebase. Detect the project type, verify available tools, and generate Claude Code settings for linting, type checks, tests, formatting checks, and hooks.
中文简介正在准备中。当前显示英语简介。
Coordinate repetitive changes across many files by splitting them into independent tasks. Agents work in separate Git working directories, run relevant tests, and open pull requests, with a shared summary of successes and failures.
中文简介正在准备中。当前显示英语简介。
Turn conversational bug reports into GitHub issues with clear reproduction steps, expected behavior, and project terminology. The skill checks for duplicates and separates independent problems, keeping reports focused on behavior so they remain useful after code changes.
中文简介正在准备中。当前显示英语简介。
Prepare for conversation compaction, which shortens an agent's working context, by saving active files, progress, decisions, blockers, and next steps. Afterward, use those notes and priority files to recover the working state and resume the task.
中文简介正在准备中。当前显示英语简介。
Manage the information an AI coding session carries by saving notes, selecting relevant material, summarizing results, and separating tasks. The skill guides context budgets and session handoffs so important decisions remain available during long projects.
中文简介正在准备中。当前显示英语简介。