github/awesome-copilot/skills/declarative-agents/SKILL.md
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
- Source repository stars
- 37,126
- Declared platforms
- 0
- Static risk flags
- 0
- Last source update
- 2026-07-28
- Source checked
- 2026-07-28
Decision brief
What it does—and where it fits
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:
Not for
- Tasks that require unconfirmed production actions or broad system permissions.
- Environments where the pinned source and install steps cannot be inspected.
Compatibility matrix
Platform support, with evidence labels
| Platform | Status | Evidence | What to check |
|---|---|---|---|
| Codex | Not declared | No explicit evidence | Portability before use |
| Claude Code | Not declared | No explicit evidence | Portability before use |
| Cursor | Not declared | No explicit evidence | Portability before use |
| Gemini CLI | Not declared | No explicit evidence | Portability before use |
Installation
Inspect first. Install second.
The source command is displayed only when detected. A safe inspection prompt is always available so your agent can explain every action before execution.
npx skills add https://github.com/github/awesome-copilot --skill "skills/declarative-agents"Inspect the Agent Skill "declarative-agents" from https://github.com/github/awesome-copilot/blob/9933dcad5be5caeb288cebcd370eeeb2fc2f1685/skills/declarative-agents/SKILL.md at commit 9933dcad5be5caeb288cebcd370eeeb2fc2f1685. List every install step, command, network request, credential, file read/write, external action, and rollback step. Explain whether it fits my task. Do not install or execute anything until I approve.
Workflow
What the source asks the agent to do
- 01
Workflow 1: Basic Agent Creation
Perfect for: New developers, simple agents, quick prototypes
Agent Planning: Define purpose, target users, and core capabilitiesCapability Selection: Choose from 11 available capabilities (WebSearch, OneDriveAndSharePoint, GraphConnectors, etc.)Basic Schema Creation: Generate compliant JSON manifest with proper constraints - 02
Workflow 2: Advanced Enterprise Agent Design
Perfect for: Complex enterprise scenarios, production deployment, advanced features
Enterprise Requirements Analysis: Multi-tenant considerations, compliance, securityAdvanced Capability Configuration: Complex capability combinations and interactionsBehavior Override Implementation: Custom response patterns and specialized behaviors - 03
Workflow 3: Validation & Optimization
Perfect for: Existing agents, troubleshooting, performance optimization
Schema Compliance Validation: Full v1.5 specification adherence checkingCharacter Limit Optimization: Name (100), description (1000), instructions (8000)Capability Audit: Verify proper capability configuration and usage - 04
Core Features Across All Workflows
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 P…
VS Code Extension: Full integration with teamsdevapp.ms-teams-vscode-extensionTypeSpec Development: Modern type-safe agent definitionsLocal Debugging: Agents Playground integration for testing
Permission review
Static risk signals and limitations
No configured static risk pattern was detected
This is not proof of safety. Runtime behavior, indirect dependencies, and hidden external systems are outside the static scan.
Evidence record
Why each signal appears
| Signal | Value | Evidence type | Meaning |
|---|---|---|---|
| Quality score | 74/100 | Computed | Documentation, specificity, maintenance, and trust rules |
| Repository stars | 37,126 | Source | Repository attention, not individual Skill quality |
| Compatibility | 0 platforms | Source | Declared in the catalog source record |
| Usage guide | automated source guide | Editorial | Generated or reviewed according to the visible evidence level |
Pinned source
Provenance and original SKILL.md
- Repository
- github/awesome-copilot
- Skill path
- skills/declarative-agents/SKILL.md
- Commit
- 9933dcad5be5caeb288cebcd370eeeb2fc2f1685
- License
- MIT
- Collected
- 2026-07-28
- Default branch
- main
View the original SKILL.md
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.
Alternatives
Compare before choosing
event4u-app/agent-config
design-review
Use when the user says "review the design", "check the UI", or wants a comprehensive UI/UX review. Uses a 7-phase methodology covering interaction, responsiveness, accessibility, and more.
MoizIbnYousaf/marketing-cli
higgsfield-generate
Use when the user wants to generate an image or video via Higgsfield AI. Covers 30+ models: Soul V2, Seedance 2.0, Kling 3.0, Veo 3.1, GPT Image 2, Nano Banana 2. Also covers Marketing Studio — branded ad video/image with avatars and products. Use whenever: "generate an image", "make a video", "animate this photo", "image-to-video", "img2vid", "edit this image with AI", "produce a clip", "create an ad", "make a UGC video", "marketing video", "brand video", "TV spot", "import product from URL", "
github/awesome-copilot
arize-evaluator
Handles LLM-as-judge evaluation workflows on Arize including creating/updating evaluators, running evaluations on spans or experiments, managing tasks, trigger-run operations, column mapping, and continuous monitoring. Use when the user mentions create evaluator, LLM judge, hallucination, faithfulness, correctness, relevance, run eval, score spans, score experiment, trigger-run, column mapping, continuous monitoring, or improve evaluator prompt.
K-Dense-AI/scientific-agent-skills
neuropixels-analysis
Analyze Neuropixels extracellular recordings end-to-end with SpikeInterface. Covers loading SpikeGLX/Open Ephys/NWB data, preprocessing, drift/motion correction, Kilosort4 (and CPU) spike sorting, quality metrics, and unit curation (threshold-based, model-based UnitRefine, and AI-assisted visual review). Use when working with Neuropixels 1.0/2.0 recordings, spike sorting, or extracellular electrophysiology analysis.