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.
中文简介正在准备中。当前显示原文说明。
Generates a complete TypeSpec API plugin for Microsoft 365 Copilot that calls external REST APIs, with operations, authentication, and Adaptive Card responses. Use when building a Microsoft 365 Copilot API plugin with TypeSpec.
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查看安装方法安装前可以查看交给 AI 代理的指令内容。
Attribution: Sourced from github/awesome-copilot by GitHub Community, licensed MIT. Modified for this collection.
Create a complete TypeSpec API plugin for Microsoft 365 Copilot that integrates with external REST APIs.
Generate TypeSpec files with:
import "@typespec/http";
import "@typespec/openapi3";
import "@microsoft/typespec-m365-copilot";
import "./actions.tsp";
using TypeSpec.Http;
using TypeSpec.M365.Copilot.Agents;
using TypeSpec.M365.Copilot.Actions;
@agent({
name: "[Agent Name]",
description: "[Description]"
})
@instructions("""
[Instructions for using the API operations]
""")
namespace [AgentName] {
// Reference operations from actions.tsp
op operation1 is [APINamespace].operationName;
}
import "@typespec/http";
import "@microsoft/typespec-m365-copilot";
using TypeSpec.Http;
using TypeSpec.M365.Copilot.Actions;
@service
@actions(#{
nameForHuman: "[API Display Name]",
descriptionForModel: "[Model description]",
descriptionForHuman: "[User description]"
})
@server("[API_BASE_URL]", "[API Name]")
@useAuth([AuthType]) // Optional
namespace [APINamespace] {
@route("[/path]")
@get
@action
op operationName(
@path param1: string,
@query param2?: string
): ResponseModel;
model ResponseModel {
// Response structure
}
}
Choose based on API requirements:
No Authentication (Public APIs)
// No @useAuth decorator needed
API Key
@useAuth(ApiKeyAuth<ApiKeyLocation.header, "X-API-Key">)
OAuth2
@useAuth(OAuth2Auth<[{
type: OAuth2FlowType.authorizationCode;
authorizationUrl: "https://oauth.example.com/authorize";
tokenUrl: "https://oauth.example.com/token";
refreshUrl: "https://oauth.example.com/token";
scopes: ["read", "write"];
}]>)
Registered Auth Reference
@useAuth(Auth)
@authReferenceId("registration-id-here")
model Auth is ApiKeyAuth<ApiKeyLocation.header, "X-API-Key">
@capabilities(#{
confirmation: #{
type: "AdaptiveCard",
title: "Confirm Action",
body: """
Are you sure you want to perform this action?
* **Parameter**: {{ function.parameters.paramName }}
"""
}
})
@card(#{
dataPath: "$.items",
title: "$.title",
url: "$.link",
file: "cards/card.json"
})
@reasoning("""
Consider user's context when calling this operation.
Prioritize recent items over older ones.
""")
@responding("""
Present results in a clear table format with columns: ID, Title, Status.
Include a summary count at the end.
""")
Ask the user:
Then generate:
main.tsp with agent definitionactions.tsp with API operations and modelscards/card.json if Adaptive Cards are needed还没有评价。欢迎分享你的使用感受。
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还没有评论。来写第一条吧。
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.
中文简介正在准备中。当前显示原文说明。
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.
中文简介正在准备中。当前显示原文说明。
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.
中文简介正在准备中。当前显示原文说明。
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.
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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)
中文简介正在准备中。当前显示原文说明。
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"
中文简介正在准备中。当前显示原文说明。