declarative-agents▌
github/awesome-copilot · updated Apr 8, 2026
Complete development kit for building Microsoft 365 Copilot declarative agents with TypeSpec and Agents Toolkit integration.
- ›Three specialized workflows cover basic agent creation, advanced enterprise design, and validation/optimization for existing agents
- ›Supports up to 5 capabilities from 11 options including WebSearch, OneDrive/SharePoint, Graph Connectors, Power Platform, and custom connectors
- ›Enforces v1.5 schema compliance with character limits (name: 100, description: 1000, in
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:
- Agent Planning: Define purpose, target users, and core capabilities
- Capability Selection: Choose from 11 available capabilities (WebSearch, OneDriveAndSharePoint, GraphConnectors, etc.)
- Basic Schema Creation: Generate compliant JSON manifest with proper constraints
- TypeSpec Alternative: Create modern type-safe definitions that compile to JSON
- Testing Setup: Configure Agents Playground for local testing
- 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:
- Enterprise Requirements Analysis: Multi-tenant considerations, compliance, security
- Advanced Capability Configuration: Complex capability combinations and interactions
- Behavior Override Implementation: Custom response patterns and specialized behaviors
- Localization Strategy: Multi-language support with proper resource management
- Conversation Starters: Strategic conversation entry points for user engagement
- Production Deployment: Environment management, versioning, and lifecycle planning
- Monitoring & Analytics: Implementation of tracking and performance optimization
Workflow 3: Validation & Optimization
Perfect for: Existing agents, troubleshooting, performance optimization
I'll perform:
- Schema Compliance Validation: Full v1.5 specification adherence checking
- Character Limit Optimization: Name (100), description (1000), instructions (8000)
- Capability Audit: Verify proper capability configuration and usage
- TypeSpec Migration: Convert existing JSON to modern TypeSpec definitions
- Testing Protocol: Comprehensive validation using Agents Playground
- Performance Analysis: Identify bottlenecks and optimization opportunities
- 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)
- WebSearch: Internet search functionality
- OneDriveAndSharePoint: File and content access
- GraphConnectors: Enterprise data integration
- MicrosoftGraph: Microsoft 365 service integration
- TeamsAndOutlook: Communication platform access
- PowerPlatform: Power Apps and Power Automate integration
- BusinessDataProcessing: Enterprise data analysis
- WordAndExcel: Document and spreadsheet manipulation
- CopilotForMicrosoft365: Advanced Copilot features
- EnterpriseApplications: Third-party system integration
- 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.
Discussion
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Ratings
4.7★★★★★30 reviews- ★★★★★Yusuf Tandon· Dec 28, 2024
Keeps context tight: declarative-agents is the kind of skill you can hand to a new teammate without a long onboarding doc.
- ★★★★★Shikha Mishra· Dec 12, 2024
Solid pick for teams standardizing on skills: declarative-agents is focused, and the summary matches what you get after install.
- ★★★★★Sakshi Patil· Nov 27, 2024
I recommend declarative-agents for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
- ★★★★★Layla Jackson· Nov 19, 2024
Registry listing for declarative-agents matched our evaluation — installs cleanly and behaves as described in the markdown.
- ★★★★★Layla Ndlovu· Nov 11, 2024
Useful defaults in declarative-agents — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
- ★★★★★Yash Thakker· Nov 3, 2024
We added declarative-agents from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
- ★★★★★Dhruvi Jain· Oct 22, 2024
declarative-agents fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
- ★★★★★Chaitanya Patil· Oct 18, 2024
Useful defaults in declarative-agents — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
- ★★★★★Layla Shah· Oct 10, 2024
declarative-agents reduced setup friction for our internal harness; good balance of opinion and flexibility.
- ★★★★★Camila Sethi· Oct 2, 2024
I recommend declarative-agents for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
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