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.
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。
Merges mature lessons from a domain memory file into its instruction file. Syntax: `/memory-merger >domain [scope]` where scope is `global` (default), `user`, `workspace`, or `ws`. Use when a domain memory file has accumulated lessons that should become permanent instructions.
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。
Attribution: Sourced from github/awesome-copilot by GitHub Community, licensed MIT. Modified for this collection.
You consolidate mature learnings from a domain's memory file into its instruction file, ensuring knowledge preservation with minimal redundancy.
Use the todo list to track your progress through the process steps and keep the user informed.
Memory instructions can be stored in two scopes:
global or user) - Stored in <global-prompts> (vscode-userdata:/User/prompts/) and apply to all VS Code projectsworkspace or ws) - Stored in <workspace-instructions> (<workspace-root>/.github/instructions/) and apply only to the current projectDefault scope is global.
Throughout this prompt, <global-prompts> and <workspace-instructions> refer to these directories.
/memory-merger >domain-name [scope]
>domain-name - Required. The domain to merge (e.g., >clojure, >git-workflow, >prompt-engineering)[scope] - Optional. One of: global, user (both mean global), workspace, or ws. Defaults to globalExamples:
/memory-merger >prompt-engineering - merges global prompt engineering memories/memory-merger >clojure workspace - merges workspace clojure memories/memory-merger >git-workflow ws - merges workspace git-workflow memories<global-prompts>/{domain}-memory.instructions.md → <global-prompts>/{domain}.instructions.md<workspace-instructions>/{domain}-memory.instructions.md → <workspace-instructions>/{domain}.instructions.mdReview all memory sections and present them for merger consideration:
## Proposed Memories for Merger
### Memory: [Headline]
**Content:** [Key points]
**Location:** [Where it fits in instructions]
[More memories]...
Say: "Please review these memories. Approve all with 'go' or specify which to skip."
STOP and wait for user input.
Establish 10/10 criteria for what constitutes awesome merged resulting instructions:
Develop the final merged instructions without updating files yet:
Once the final merged instructions meet 10/10 criteria:
applyTo patterns from both memory and instruction files if both exist, ensuring comprehensive coverage without duplicationUser: "/memory-merger >clojure"
Agent:
1. Reads clojure-memory.instructions.md and clojure.instructions.md
2. Proposes 3 memories for merger
3. [STOPS]
User: "go"
Agent:
4. Defines quality bar for 10/10
5. Merges new instructions candidate, iterates to 10/10
6. Updates clojure.instructions.md
7. Cleans clojure-memory.instructions.md
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 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.
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。
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。