skill-authoring-workflow

deanpeters/product-manager-skills · updated Apr 8, 2026

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$npx skills add https://github.com/deanpeters/product-manager-skills --skill skill-authoring-workflow
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summary

Transform rough notes and workshop content into validated, repo-compliant PM skills.

  • Guides you through six phases: preflight search, draft generation, tightening, strict validation, repo integration, and optional packaging
  • Enforces a strict definition of done including frontmatter validity, metadata limits (name ≤64 chars, description ≤200 chars), and section compliance
  • Provides three creation paths: guided wizard for ideas, content-first generator for existing source material, and
skill.md

Purpose

Create or update PM skills without chaos. This workflow turns rough notes, workshop content, or half-baked prompt dumps into compliant skills/<skill-name>/SKILL.md assets that actually pass validation and belong in this repo.

Use it when you want to ship a new skill without "looks good to me" roulette.

Key Concepts

Dogfood First

Use repo-native tools and standards before inventing a custom process:

  • scripts/find-a-skill.sh
  • scripts/add-a-skill.sh
  • scripts/build-a-skill.sh
  • scripts/test-a-skill.sh
  • scripts/check-skill-metadata.py

Pick the Right Creation Path

  • Guided wizard (build-a-skill.sh): Best when you have an idea but not final prose.
  • Content-first generator (add-a-skill.sh): Best when you already have source content.
  • Manual edit + validate: Best for tightening an existing skill.

Definition of Done (No Exceptions)

A skill is done only when:

  1. Frontmatter is valid (name, description, intent, type)
  2. Section order is compliant
  3. Metadata limits are respected (name <= 64 chars, description <= 200 chars)
  4. Description says both what the skill does and when to use it
  5. Intent carries the fuller repo-facing summary without replacing the trigger-oriented description
  6. Cross-references resolve
  7. README catalog counts and tables are updated (if adding/removing skills)

Facilitation Source of Truth

When running this workflow as a guided conversation, use workshop-facilitation as the interaction protocol.

It defines:

  • session heads-up + entry mode (Guided, Context dump, Best guess)
  • one-question turns with plain-language prompts
  • progress labels (for example, Context Qx/8 and Scoring Qx/5)
  • interruption handling and pause/resume behavior
  • numbered recommendations at decision points
  • quick-select numbered response options for regular questions (include Other (specify) when useful)

This file defines the workflow sequence and domain-specific outputs. If there is a conflict, follow this file's workflow logic.

Application

Phase 1: Preflight (Avoid Duplicate Work)

  1. Search for overlapping skills:
./scripts/find-a-skill.sh --keyword "<topic>"
  1. Decide type:
  • Component: one artifact/template
  • Interactive: 3-5 adaptive questions + numbered options
  • Workflow: multi-phase orchestration

Phase 2: Generate Draft

If you have source material:

./scripts/add-a-skill.sh research/your-framework.md

If you want guided prompts:

./scripts/build-a-skill.sh

Phase 3: Tighten the Skill

Manually review for:

  • Clear "when to use" guidance
  • One concrete example
  • One explicit anti-pattern
  • No filler or vague consultant-speak

Phase 4: Validate Hard

Run strict checks before thinking about commit:

./scripts/test-a-skill.sh --skill <skill-name> --smoke
python3 scripts/check-skill-metadata.py skills/<skill-name>/SKILL.md
python3 scripts/check-skill-triggers.py skills/<skill-name>/SKILL.md --show-cases

Phase 5: Integrate with Repo Docs

If this is a new skill:

  1. Add it to the correct README category table
  2. Update skill totals and category counts
  3. Verify link paths resolve

Phase 6: Optional Packaging

If targeting Claude custom skill upload:

./scripts/zip-a-skill.sh --skill <skill-name>
# or zip one category:
./scripts/zip-a-skill.sh --type component --output dist/skill-zips
# or use a curated starter preset:
./scripts/zip-a-skill.sh --preset core-pm --output dist/skill-zips

Examples

Example: Turn Workshop Notes into a Skill

Input: research/pricing-workshop-notes.md
Goal: new interactive advisor

./scripts/add-a-skill.sh research/pricing-workshop-notes.md
./scripts/test-a-skill.sh --skill <new-skill-name> --smoke
python3 scripts/check-skill-metadata.py skills/<new-skill-name>/SKILL.md

Expected result:

  • New skill folder exists
  • Skill passes structural and metadata checks
  • README catalog entry added/updated

Anti-Pattern Example

"We wrote a cool skill, skipped validation, forgot README counts, and shipped anyway."

Result:

  • Broken references
  • Inconsistent catalog numbers
  • Confusion for contributors and users

Common Pitfalls

  • Shipping vibes, not standards.
  • Choosing workflow when the task is really a component template.
  • Bloated descriptions that exceed upload limits.
  • Descriptions that say what the skill is but not when Claude should trigger it.
  • Descriptions that silently hit the 200-char limit and get cut off mid-thought.
  • Letting intent become a substitute for a weak trigger description.
  • Forgetting to update README counts after adding a skill.
  • Treating generated output as final without review.

References

  • README.md
  • AGENTS.md
  • CLAUDE.md
  • docs/Building PM Skills.md
  • docs/Add-a-Skill Utility Guide.md
  • Anthropic's Complete Guide to Building Skills for Claude
  • scripts/add-a-skill.sh
  • scripts/build-a-skill.sh
  • scripts/find-a-skill.sh
  • scripts/test-a-skill.sh
  • scripts/check-skill-metadata.py
  • scripts/check-skill-triggers.py
  • scripts/zip-a-skill.sh
how to use skill-authoring-workflow

How to use skill-authoring-workflow on Cursor

AI-first code editor with Composer

1

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-workflow
2

Execute installation command

Execute the skills CLI command in your project's root directory to begin installation:

$npx skills add https://github.com/deanpeters/product-manager-skills --skill skill-authoring-workflow

The skills CLI fetches skill-authoring-workflow from GitHub repository deanpeters/product-manager-skills and configures it for Cursor.

3

Select Cursor when prompted

The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:

◆ Which agents do you want to install to?
│ ── Universal (.agents/skills) ── always included ────
│ • Amp
│ • Antigravity
│ • Cline
│ • Codex
│ ●Cursor(selected)
│ • Cursor
│ • Windsurf
4

Verify installation

Confirm successful installation by checking the skill directory location:

.cursor/skills/skill-authoring-workflow

Reload or restart Cursor to activate skill-authoring-workflow. Access the skill through slash commands (e.g., /skill-authoring-workflow) 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

GET_STARTED →

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. 1.Install product management skill
  2. 2.Start with user story generation for known feature
  3. 3.Progress to competitive analysis: research 2-3 competitors
  4. 4.Use for roadmap prioritization: apply RICE/ICE scoring
  5. 5.Draft stakeholder communications and refine based on feedback
  6. 6.Build template library for recurring PM tasks
  7. 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

  1. 1Basic: user stories, feature specs, status updates
  2. 2Intermediate: competitive analysis, prioritization frameworks, PRDs
  3. 3Advanced: product strategy, go-to-market planning, OKR setting
  4. 4Expert: product vision, market positioning, business model innovation

Discussion

Product Hunt–style comments (not star reviews)
  • No comments yet — start the thread.
general reviews

Ratings

4.564 reviews
  • Xiao Tandon· Dec 24, 2024

    I recommend skill-authoring-workflow for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.

  • Diego Shah· Dec 24, 2024

    Useful defaults in skill-authoring-workflow — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

  • Advait Khan· Dec 16, 2024

    skill-authoring-workflow fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.

  • Diego Verma· Dec 16, 2024

    Keeps context tight: skill-authoring-workflow is the kind of skill you can hand to a new teammate without a long onboarding doc.

  • Isabella Huang· Dec 12, 2024

    skill-authoring-workflow is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.

  • Chaitanya Patil· Dec 8, 2024

    We added skill-authoring-workflow from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.

  • Piyush G· Nov 27, 2024

    Useful defaults in skill-authoring-workflow — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

  • Ren Rahman· Nov 27, 2024

    I recommend skill-authoring-workflow for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.

  • Diego Wang· Nov 23, 2024

    Keeps context tight: skill-authoring-workflow is the kind of skill you can hand to a new teammate without a long onboarding doc.

  • Diego Ndlovu· Nov 15, 2024

    We added skill-authoring-workflow from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.

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