本文へ移動
cccskills
無料GitHub で公開

declarative-agents

Complete development kit for Microsoft 365 Copilot declarative agents with three comprehensive workflows (basic, advanced, validation), TypeSpec support, and Microsoft 365 Agents Toolkit integration

インストール方法を見る

含まれるファイル(1)

  • SKILL.md4.6 KB

SKILL.md(原文)

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。

Microsoft 365 Declarative Agents Development Kit

I'll help you create and develop Microsoft 365 Copilot declarative agents using the latest v1.5 schema with comprehensive TypeSpec and Microsoft 365 Agents Toolkit integration. Choose from three specialized workflows:

Workflow 1: Basic Agent Creation

Perfect for: New developers, simple agents, quick prototypes

I'll guide you through:

  1. Agent Planning: Define purpose, target users, and core capabilities
  2. Capability Selection: Choose from 11 available capabilities (WebSearch, OneDriveAndSharePoint, GraphConnectors, etc.)
  3. Basic Schema Creation: Generate compliant JSON manifest with proper constraints
  4. TypeSpec Alternative: Create modern type-safe definitions that compile to JSON
  5. Testing Setup: Configure Agents Playground for local testing
  6. Toolkit Integration: Leverage Microsoft 365 Agents Toolkit for enhanced development

Workflow 2: Advanced Enterprise Agent Design

Perfect for: Complex enterprise scenarios, production deployment, advanced features

I'll help you architect:

  1. Enterprise Requirements Analysis: Multi-tenant considerations, compliance, security
  2. Advanced Capability Configuration: Complex capability combinations and interactions
  3. Behavior Override Implementation: Custom response patterns and specialized behaviors
  4. Localization Strategy: Multi-language support with proper resource management
  5. Conversation Starters: Strategic conversation entry points for user engagement
  6. Production Deployment: Environment management, versioning, and lifecycle planning
  7. Monitoring & Analytics: Implementation of tracking and performance optimization

Workflow 3: Validation & Optimization

Perfect for: Existing agents, troubleshooting, performance optimization

I'll perform:

  1. Schema Compliance Validation: Full v1.5 specification adherence checking
  2. Character Limit Optimization: Name (100), description (1000), instructions (8000)
  3. Capability Audit: Verify proper capability configuration and usage
  4. TypeSpec Migration: Convert existing JSON to modern TypeSpec definitions
  5. Testing Protocol: Comprehensive validation using Agents Playground
  6. Performance Analysis: Identify bottlenecks and optimization opportunities
  7. Best Practices Review: Alignment with Microsoft guidelines and recommendations

Core Features Across All Workflows

Microsoft 365 Agents Toolkit Integration

  • VS Code Extension: Full integration with teamsdevapp.ms-teams-vscode-extension
  • TypeSpec Development: Modern type-safe agent definitions
  • Local Debugging: Agents Playground integration for testing
  • Environment Management: Development, staging, production configurations
  • Lifecycle Management: Creation, testing, deployment, monitoring

TypeSpec Examples

// Modern declarative agent definition
model MyAgent {
  name: string;
  description: string;
  instructions: string;
  capabilities: AgentCapability[];
  conversation_starters?: ConversationStarter[];
}

JSON Schema v1.5 Validation

  • Full compliance with latest Microsoft specification
  • Character limit enforcement (name: 100, description: 1000, instructions: 8000)
  • Array constraint validation (conversation_starters: max 4, capabilities: max 5)
  • Required field validation and type checking

Available Capabilities (Choose up to 5)

  1. WebSearch: Internet search functionality
  2. OneDriveAndSharePoint: File and content access
  3. GraphConnectors: Enterprise data integration
  4. MicrosoftGraph: Microsoft 365 service integration
  5. TeamsAndOutlook: Communication platform access
  6. PowerPlatform: Power Apps and Power Automate integration
  7. BusinessDataProcessing: Enterprise data analysis
  8. WordAndExcel: Document and spreadsheet manipulation
  9. CopilotForMicrosoft365: Advanced Copilot features
  10. EnterpriseApplications: Third-party system integration
  11. CustomConnectors: Custom API and service integration

Environment Variables Support

{
  "name": "${AGENT_NAME}",
  "description": "${AGENT_DESCRIPTION}",
  "instructions": "${AGENT_INSTRUCTIONS}"
}

Which workflow would you like to start with? Share your requirements and I'll provide specialized guidance for your Microsoft 365 Copilot declarative agent development with full TypeSpec and Microsoft 365 Agents Toolkit support.

レビュー

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。

同じリポジトリのスキル

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。

github/awesome-copilot4万2026年10月9日 更新

Run the AgentRC readiness assessment on the current repository and produce a static HTML dashboard at reports/index.html. Wraps `npx github:microsoft/agentrc readiness` and hands off rendering to the @ai-readiness-reporter custom agent. Supports policies (--policy) for org-specific scoring. Use when asked to assess, audit, or score the AI readiness of a repo.

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。

github/awesome-copilot4万2026年10月9日 更新

Generate tailored AI agent instruction files via AgentRC instructions command. Produces .github/copilot-instructions.md (default, recommended for Copilot in VS Code) plus optional per-area .instructions.md files with applyTo globs for monorepos. Use after running /acreadiness-assess to close gaps in the AI Tooling pillar.

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。

github/awesome-copilot4万2026年10月9日 更新

Help the user pick, write, or apply an AgentRC policy. Policies customise readiness scoring by disabling irrelevant checks, overriding impact/level, setting pass-rate thresholds, or chaining org baselines with team overrides. Use when the user asks about strict mode, AI-only scoring, custom weights, CI gating, or wants org-wide standardisation.

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。

github/awesome-copilot4万2026年10月9日 更新

Use this skill when the user shares ad campaign performance data and asks what to cut, scale, or test. Trigger for prompts like "analyze my ad campaigns", "where am I wasting ad spend", "reallocate my ad budget", "which ads are actually working", or "ROAS analysis". Do not trigger for campaign planning or creative generation without performance data.

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。

github/awesome-copilot4万2026年10月9日 更新

Add educational comments to the file specified, or prompt asking for file to comment if one is not provided.

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。

github/awesome-copilot4万2026年10月9日 更新

github のスキルをすべて見る

このスキルの問題を報告する