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。
Discovers and integrates third-party APIs using the context-matic MCP server. Uses `fetch_api` to find available API SDKs, `ask` for integration guidance, `model_search` and `endpoint_search` for SDK details. Use when the user asks to integrate a third-party API, add an API client, implement features with an external API, or work with any third-party API or SDK.
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.
When the user asks to integrate a third-party API or implement anything involving an external API or SDK, follow this workflow. Do not rely on your own knowledge for available APIs or their capabilities — always use the context-matic MCP server.
Apply this skill when the user:
Before checking for guidelines or skills, identify the project's primary programming language by inspecting the workspace:
| File / Pattern | Language |
|---|---|
*.csproj, *.sln | csharp |
package.json with "typescript" dep or .ts files | typescript |
requirements.txt, pyproject.toml, *.py | python |
go.mod, *.go | go |
pom.xml, build.gradle, *.java | java |
Gemfile, *.rb | ruby |
composer.json, *.php | php |
Use the detected language in all subsequent steps wherever language is required.
Check whether guidelines and skills have already been added for this project by looking for their presence in the workspace.
{language}-conventions is the skill produced by add_skills.{language}-security-guidelines.md and {language}-test-guidelines.md are language-specific guideline files produced by add_guidelines.update-activity-workflow.md is a workflow guideline file produced by add_guidelines (it is not language-specific).{language}-conventions is missing for the project's language: Call add_skills.{language}-conventions already exist: Skip this step and proceed to step 2.Call fetch_api to find available APIs — always start here.
language parameter using the language detected in step 1a.key parameter: pass the API name/key from the user's request (e.g. "paypal", "twilio").fetch_api with that value.key) when there is no exact match.key for the user's requested API before proceeding. This key will be used for all subsequent tool calls related to that API.If the requested API is not in the list:
ask with: language, key (from step 2), and your query.These tools return definitions only — they do not call APIs or generate code.
language, key, and an exact or partial case-sensitive model name as query (e.g. availableBalance, TransactionId).language, key, and an exact or partial case-sensitive method name as query (e.g. createUser, get_account_balance).Call update_activity (with the appropriate milestone) whenever one of these is concretely reached in code or infrastructure — not merely mentioned or planned:
| Milestone | When to pass it |
|---|---|
sdk_setup | SDK package is installed in the project (e.g. npm install, pip install, go get has run and succeeded). |
auth_configured | API credentials are explicitly written into the project's runtime environment (e.g. present in a .env file, secrets manager, or config file) and referenced in actual code. |
first_call_made | First API call code written and executed |
error_encountered | Developer reports a bug, error response, or failing call |
error_resolved | Fix applied and API call confirmed working |
add_guidelines called if guideline files were missing, otherwise skippedadd_skills called if {language}-conventions was missing, otherwise skippedfetch_api called with correct language and key (API name)key identified for the requested API (or user informed if not found)update_activity called only when a milestone is concretely reached in code/infrastructure — never for questions, searches, or tool lookupsupdate_activity called with the appropriate milestone at each integration milestoneask used for integration guidance and code samplesmodel_search / endpoint_search used as needed for SDK detailsfetch_api, do not guess at SDK usage — inform the user that the API is not currently available in this plugin and stop.fetch_api is API discovery, not integration — do not call update_activity before it.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。