Use when long-lived agents, project memories, system prompts, or playbooks are repeatedly summarized, rewritten, or optimized and risk losing domain detail, provenance, or execution learnings.
インストールする前に、エージェントに与えられる指示の中身を確認できます。
Treat durable context as an evolving playbook, not a shrinking summary. Preserve proven detail, update incrementally, and require execution evidence before promoting lessons.
CLAUDE.md, AGENTS.md, skill docs, or prompt files are being revised after repeated runs.Every durable update should include:
| Field | Purpose |
|---|---|
claim | The reusable instruction or lesson |
evidence | Command, trace, eval, user correction, issue, PR, or paper source |
scope | Where it applies and where it does not |
owner | File, skill, team, or subsystem affected |
expiry | Date or condition for review |
conflicts | Older rules this supersedes or limits |
See context-evolution-contract.md for templates.
Before replacing any long-lived context, compare the old and new versions:
python scripts/context_update_guard.py OLD.md NEW.md
Reject the rewrite if it drops named tools, file paths, commands, metric thresholds, failure modes, citations, or explicit constraints without an invalidation note.
| Mistake | Fix |
|---|---|
| Rewriting the whole context after each run | Apply small patches grouped by evidence type |
| Treating shorter as better | Preserve operational details that changed behavior |
| Promoting one-off anecdotes | Require repeated evidence or a clear high-impact failure |
| Deleting stale rules | Mark them superseded and keep the reason if future agents may rediscover them |
| Mixing task scratchpads with durable memory | Keep transient reasoning out of permanent context |
まだレビューはありません。使ってみた感想をお寄せください。
概要と使いどころ
Use this skill when the user explicitly asks to map, document, or onboard into an existing codebase. Trigger for prompts like "map this codebase", "document this architecture", "onboard me to this repo", or "create codebase docs". Do not trigger for routine feature implementation, bug fixes, or narrow code edits unless the user asks for repository-level discovery.
日本語の概要は準備中です。原文の説明を表示しています。
Adds educational comments to a code file so it becomes a learning resource, asking for the file (with a list of close matches) if none is given. Use when preparing code for learners, onboarding, or teaching.
日本語の概要は準備中です。原文の説明を表示しています。
Write, debug, and optimize Adobe Illustrator automation scripts using ExtendScript (JavaScript/JSX). Use when creating or modifying scripts that manipulate documents, layers, paths, text frames, colors, symbols, artboards, or any Illustrator DOM objects. Covers the complete JavaScript object model, coordinate system, measurement units, export workflows, and scripting best practices.
日本語の概要は準備中です。原文の説明を表示しています。
Patterns and techniques for adding governance, safety, and trust controls to AI agent systems. Use this skill when: - Building AI agents that call external tools (APIs, databases, file systems) - Implementing policy-based access controls for agent tool usage - Adding semantic intent classification to detect dangerous prompts - Creating trust scoring systems for multi-agent workflows - Building audit trails for agent actions and decisions - Enforcing rate limits, content filters, or tool restrictions on agents - Working with any agent framework (PydanticAI, CrewAI, OpenAI Agents, LangChain, AutoGen)
日本語の概要は準備中です。原文の説明を表示しています。
Check any AI agent codebase against the OWASP Agentic Security Initiative (ASI) Top 10 risks. Use this skill when: - Evaluating an agent system's security posture before production deployment - Running a compliance check against OWASP ASI 2026 standards - Mapping existing security controls to the 10 agentic risks - Generating a compliance report for security review or audit - Comparing agent framework security features against the standard - Any request like "is my agent OWASP compliant?", "check ASI compliance", or "agentic security audit"
日本語の概要は準備中です。原文の説明を表示しています。
Inter-agent communication protocol for C-suite agent teams. Defines invocation syntax, loop prevention, isolation rules, and response formats. Use when C-suite agents need to query each other, coordinate cross-functional analysis, or run board meetings with multiple agent roles.
日本語の概要は準備中です。原文の説明を表示しています。