Complete development kit for building Microsoft 365 Copilot declarative agents with TypeSpec and Agents Toolkit integration.
Works with
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
AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versiondeclarative-agentsExecute the skills CLI command in your project's root directory to begin installation:
Fetches declarative-agents from github/awesome-copilot and configures it for Cursor.
The CLI shows a list of agents. Use arrow keys and space to select Cursor:
Confirm successful installation by checking the skill directory location:
Restart Cursor to activate declarative-agents. Access via /declarative-agents in your agent's command palette.
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
Skills execute code in your environment. Always review source, verify the publisher, and test in isolation before production.
Submit your Claude Code skill and start earning
Create detailed user stories, acceptance criteria, and feature specs
Example
Generate user stories for 'password reset feature' with acceptance criteria, edge cases, and test scenarios
Reduce spec writing time by 50%, ensure comprehensive coverage
Research competitors, compare features, identify gaps
Example
Analyze 5 competitor products, create feature comparison matrix, suggest differentiation opportunities
Complete competitive research in 2 hours instead of 2 days
Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs
Example
Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale
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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:
Perfect for: New developers, simple agents, quick prototypes
I'll guide you through:
Perfect for: Complex enterprise scenarios, production deployment, advanced features
I'll help you architect:
Perfect for: Existing agents, troubleshooting, performance optimization
I'll perform:
teamsdevapp.ms-teams-vscode-extension// Modern declarative agent definition
model MyAgent {
name: string;
description: string;
instructions: string;
capabilities: AgentCapability[];
conversation_starters?: ConversationStarter[];
}
{
"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.
Make data-driven prioritization decisions faster
Draft PRDs, status updates, and stakeholder presentations
Example
Create executive summary of Q3 roadmap, monthly progress report, feature launch announcement
Save 3-5 hours/week on communication overhead
Prerequisites
Time Estimate
30-60 minutes to see productivity improvements
Steps
Common Pitfalls
✓ Do
✗ Don't
💡 Pro Tips
✓ Use when
Use for user story writing, competitive research, roadmap prioritization, stakeholder communication, and PRD drafting. Best for reducing repetitive documentation and research work.
✗ Avoid when
Avoid for strategic product vision (requires deep customer empathy), pricing decisions (needs market and financial expertise), or when face-to-face customer discovery is more valuable than speed.
github/awesome-copilot
github/awesome-copilot
mattpocock/skills
parcadei/continuous-claude-v3
cursor/plugins
ailabs-393/ai-labs-claude-skills
Keeps context tight: declarative-agents is the kind of skill you can hand to a new teammate without a long onboarding doc.
Solid pick for teams standardizing on skills: declarative-agents is focused, and the summary matches what you get after install.
I recommend declarative-agents for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
Registry listing for declarative-agents matched our evaluation — installs cleanly and behaves as described in the markdown.
Useful defaults in declarative-agents — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
We added declarative-agents from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
declarative-agents fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
Useful defaults in declarative-agents — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
declarative-agents reduced setup friction for our internal harness; good balance of opinion and flexibility.
I recommend declarative-agents for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
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