getting-started-with-skills

obra/superpowers-skills · updated Apr 8, 2026

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$npx skills add https://github.com/obra/superpowers-skills --skill getting-started-with-skills
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summary

Use Read tool before announcing skill usage. The session-start hook does NOT read skills for you. Announcing without calling Read = lying.

skill.md

Getting Started with Skills

Critical Rules

  1. Use Read tool before announcing skill usage. The session-start hook does NOT read skills for you. Announcing without calling Read = lying.

  2. Follow mandatory workflows. Brainstorming before coding. Check for skills before ANY task.

  3. Create TodoWrite todos for checklists. Mental tracking = steps get skipped. Every time.

Mandatory Workflow: Before ANY Task

1. Check skills list at session start, or run find-skills [PATTERN] to filter.

2. If relevant skill exists, YOU MUST use it:

  • Use Read tool with full path: ${SUPERPOWERS_SKILLS_ROOT}/skills/category/skill-name/SKILL.md
  • Read ENTIRE file, not just frontmatter
  • Announce: "I've read [Skill Name] skill and I'm using it to [purpose]"
  • Follow it exactly

Don't rationalize:

  • "I remember this skill" - Skills evolve. Read the current version.
  • "Session-start showed it to me" - That was using-skills/SKILL.md only. Read the actual skill.
  • "This doesn't count as a task" - It counts. Find and read skills.

Why: Skills document proven techniques that save time and prevent mistakes. Not using available skills means repeating solved problems and making known errors.

If a skill for your task exists, you must use it or you will fail at your task.

Skills with Checklists

If a skill has a checklist, YOU MUST create TodoWrite todos for EACH item.

Don't:

  • Work through checklist mentally
  • Skip creating todos "to save time"
  • Batch multiple items into one todo
  • Mark complete without doing them

Why: Checklists without TodoWrite tracking = steps get skipped. Every time. The overhead of TodoWrite is tiny compared to the cost of missing steps.

Examples: skills/testing/test-driven-development/SKILL.md, skills/debugging/systematic-debugging/SKILL.md, skills/meta/writing-skills/SKILL.md

Announcing Skill Usage

After you've read a skill with Read tool, announce you're using it:

"I've read the [Skill Name] skill and I'm using it to [what you're doing]."

Examples:

  • "I've read the Brainstorming skill and I'm using it to refine your idea into a design."
  • "I've read the Test-Driven Development skill and I'm using it to implement this feature."
  • "I've read the Systematic Debugging skill and I'm using it to find the root cause."

Why: Transparency helps your human partner understand your process and catch errors early. It also confirms you actually read the skill.

How to Read a Skill

Every skill has the same structure:

  1. Frontmatter - when_to_use tells you if this skill matches your situation
  2. Overview - Core principle in 1-2 sentences
  3. Quick Reference - Scan for your specific pattern
  4. Implementation - Full details and examples
  5. Supporting files - Load only when implementing

Many skills contain rigid rules (TDD, debugging, verification). Follow them exactly. Don't adapt away the discipline.

Some skills are flexible patterns (architecture, naming). Adapt core principles to your context.

The skill itself tells you which type it is.

Instructions ≠ Permission to Skip Workflows

Your human partner's specific instructions describe WHAT to do, not HOW.

"Add X", "Fix Y" = the goal, NOT permission to skip brainstorming, TDD, or RED-GREEN-REFACTOR.

Red flags: "Instruction was specific" • "Seems simple" • "Workflow is overkill"

Why: Specific instructions mean clear requirements, which is when workflows matter MOST. Skipping process on "simple" tasks is how simple tasks become complex problems.

Summary

Starting any task:

  1. Run find-skills to check for relevant skills
  2. If relevant skill exists → Use Read tool with full path (includes /SKILL.md)
  3. Announce you're using it
  4. Follow what it says

Skill has checklist? TodoWrite for every item.

Finding a relevant skill = mandatory to read and use it. Not optional.

how to use getting-started-with-skills

How to use getting-started-with-skills 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 getting-started-with-skills
2

Execute installation command

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

$npx skills add https://github.com/obra/superpowers-skills --skill getting-started-with-skills

The skills CLI fetches getting-started-with-skills from GitHub repository obra/superpowers-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/getting-started-with-skills

Reload or restart Cursor to activate getting-started-with-skills. Access the skill through slash commands (e.g., /getting-started-with-skills) 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)
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general reviews

Ratings

4.628 reviews
  • Ava Khanna· Dec 8, 2024

    We added getting-started-with-skills from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.

  • Carlos Kim· Nov 27, 2024

    getting-started-with-skills reduced setup friction for our internal harness; good balance of opinion and flexibility.

  • Arjun Thomas· Oct 18, 2024

    Registry listing for getting-started-with-skills matched our evaluation — installs cleanly and behaves as described in the markdown.

  • Sakshi Patil· Sep 21, 2024

    I recommend getting-started-with-skills for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.

  • Harper Chawla· Sep 13, 2024

    I recommend getting-started-with-skills for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.

  • Rahul Santra· Sep 1, 2024

    getting-started-with-skills has been reliable in day-to-day use. Documentation quality is above average for community skills.

  • Mateo Martinez· Sep 1, 2024

    Solid pick for teams standardizing on skills: getting-started-with-skills is focused, and the summary matches what you get after install.

  • Pratham Ware· Aug 20, 2024

    Solid pick for teams standardizing on skills: getting-started-with-skills is focused, and the summary matches what you get after install.

  • Mateo Wang· Aug 20, 2024

    getting-started-with-skills has been reliable in day-to-day use. Documentation quality is above average for community skills.

  • Chaitanya Patil· Aug 12, 2024

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

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