skill-authoring▌
microsoft/github-copilot-for-azure · updated Apr 8, 2026
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Guidelines and validation for writing Agent Skills compliant with agentskills.io specification.
- ›Covers skill structure (SKILL.md, references/, scripts/), frontmatter constraints (name format, description limits), and token budgets (SKILL.md <5000 tokens, references <1000 each)
- ›Enforces metadata best practices: use WHEN: trigger phrases in descriptions, avoid DO NOT USE FOR: keywords, keep descriptions under 60 words
- ›Implements progressive disclosure with just-in-time refere
Skill Authoring Guide
This skill provides guidance for writing Agent Skills that comply with the agentskills.io specification.
When to Use
- Creating a new skill for this repository
- Reviewing a skill PR for compliance
- Checking if an existing skill follows best practices
- Understanding token budgets and progressive disclosure
Constraints
name: 1-64 chars, lowercase + hyphens, match directorydescription: 1-1024 chars, ≤60 words, explain WHAT and WHEN- Use
WHEN:with quoted trigger phrases (preferred overUSE FOR:) - Avoid
DO NOT USE FOR:unless the skill has trigger overlap with a broader skill (see frontmatter guidelines) - Use inline double-quoted strings (not
>-folded scalars) - SKILL.md: <500 tokens (soft), <5000 (hard)
- references/*.md: <1000 tokens each
Structure
SKILL.md(required) - Instructionsreferences/(optional) - Detailed docsscripts/(optional) - Executable code
Frontmatter: name (lowercase-hyphens), description (WHAT + WHEN)
Progressive Disclosure
Metadata (~100 tokens) loads at startup. SKILL.md (<5000 tokens) loads on activation. References load only when explicitly linked (not on activation). Keep SKILL.md lean.
Reference Loading
References are JIT (just-in-time) loaded:
- Only files explicitly linked via
[text](references/file.md)load - Link to files, not folders -
[Recipes](references/recipes/README.md)not[Recipes](references/recipes/) - Each file loads in full (not sections)
- No caching between requests - write self-contained files
- Use recipes/services patterns for multi-option skills
See REFERENCE-LOADING.md for details.
Validation
# Run from the scripts directory
cd scripts
npm run references # Validate all skill links
npm run tokens -- check # Check token limits
Integrity Checks
When reviewing or authoring skills, verify:
- No broken links - All referenced files exist
- No orphaned references - All reference files are linked
- Token budgets - References under 1000 tokens (split if exceeded)
- No duplicates - Consolidate repeated content
- No out-of-place guidance - Service-specific content belongs in service-specific references
See Validation for detailed procedures.
Reference Documentation
- Guidelines - Detailed writing guidelines
- Token Budgets - Limits and splitting guidance
- Reference Loading - How references load
- Checklist - Pre-submission checklist
- Validation - Link and reference validation
- agentskills.io/specification - Official spec
How to use skill-authoring on Cursor
AI-first code editor with Composer
Prerequisites
Before installing skills in Cursor, ensure your development environment meets these requirements:
- ›Cursor installed and configured on your development machine
- ›Node.js version 16.0+ with npm package manager (verify with
node --version) - ›Active project directory or workspace where you want to add skill-authoring
Execute installation command
Execute the skills CLI command in your project's root directory to begin installation:
The skills CLI fetches skill-authoring from GitHub repository microsoft/github-copilot-for-azure and configures it for Cursor.
Select Cursor when prompted
The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:
Verify installation
Confirm successful installation by checking the skill directory location:
Reload or restart Cursor to activate skill-authoring. Access the skill through slash commands (e.g., /skill-authoring) or your agent's skill management interface.
Security & Verification Notice
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 development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.
List & Monetize Your Skill
Submit your Claude Code skill and start earning
Use Cases▌
User Story & Requirements Generation
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
Competitive Analysis
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
Roadmap Prioritization
Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs
Example
Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale
Make data-driven prioritization decisions faster
Stakeholder Communication
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
Implementation Guide▌
Prerequisites
- ›Claude Desktop or compatible AI client
- ›Access to product documentation and roadmap tools (Jira, Notion, etc.)
- ›Understanding of product management frameworks (RICE, Jobs-to-be-Done, etc.)
- ›Stakeholder contact information and communication channels
Time Estimate
30-60 minutes to see productivity improvements
Installation Steps
- 1.Install product management skill
- 2.Start with user story generation for known feature
- 3.Progress to competitive analysis: research 2-3 competitors
- 4.Use for roadmap prioritization: apply RICE/ICE scoring
- 5.Draft stakeholder communications and refine based on feedback
- 6.Build template library for recurring PM tasks
- 7.Share effective prompts with product team
Common Pitfalls
- ⚠Not validating competitive research—verify facts before sharing
- ⚠Accepting user stories without involving engineering team
- ⚠Over-relying on frameworks without qualitative judgment
- ⚠Not customizing outputs to company culture and communication style
- ⚠Skipping stakeholder validation of generated requirements
Best Practices▌
✓ Do
- +Validate research and competitive analysis with real data
- +Collaborate with engineering when generating technical requirements
- +Customize frameworks and templates to your company context
- +Use skill for first drafts, refine with stakeholder input
- +Document successful prompt patterns for PM tasks
- +Combine AI efficiency with human judgment and intuition
✗ Don't
- −Don't publish competitive analysis without fact-checking
- −Don't finalize user stories without engineering review
- −Don't make prioritization decisions solely on AI scoring
- −Don't skip customer validation of generated requirements
- −Don't ignore company-specific context and culture
💡 Pro Tips
- ★Provide context: company goals, constraints, customer feedback
- ★Ask for alternatives: 'Show 3 ways to prioritize this roadmap'
- ★Request stakeholder-specific formatting: 'Executive summary vs. engineering spec'
- ★Use skill for 70% generation + 30% customization to company needs
When to Use This▌
✓ 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.
Learning Path▌
- 1Basic: user stories, feature specs, status updates
- 2Intermediate: competitive analysis, prioritization frameworks, PRDs
- 3Advanced: product strategy, go-to-market planning, OKR setting
- 4Expert: product vision, market positioning, business model innovation
Discussion
Product Hunt–style comments (not star reviews)- No comments yet — start the thread.
Ratings
4.6★★★★★68 reviews- ★★★★★Naina Patel· Dec 28, 2024
Registry listing for skill-authoring matched our evaluation — installs cleanly and behaves as described in the markdown.
- ★★★★★Anika Ramirez· Dec 24, 2024
Useful defaults in skill-authoring — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
- ★★★★★Anaya Khanna· Dec 20, 2024
Keeps context tight: skill-authoring is the kind of skill you can hand to a new teammate without a long onboarding doc.
- ★★★★★Piyush G· Dec 16, 2024
Registry listing for skill-authoring matched our evaluation — installs cleanly and behaves as described in the markdown.
- ★★★★★Naina Gill· Dec 4, 2024
skill-authoring reduced setup friction for our internal harness; good balance of opinion and flexibility.
- ★★★★★Jin Okafor· Nov 27, 2024
skill-authoring reduced setup friction for our internal harness; good balance of opinion and flexibility.
- ★★★★★Arjun Farah· Nov 19, 2024
We added skill-authoring from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
- ★★★★★Noor Nasser· Nov 19, 2024
Keeps context tight: skill-authoring is the kind of skill you can hand to a new teammate without a long onboarding doc.
- ★★★★★Shikha Mishra· Nov 15, 2024
skill-authoring reduced setup friction for our internal harness; good balance of opinion and flexibility.
- ★★★★★Diego Nasser· Nov 15, 2024
I recommend skill-authoring for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
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