If you see unfamiliar placeholders or need to check which tools are connected, see CONNECTORS.md.
Works with
AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versiondebugExecute the skills CLI command in your project's root directory to begin installation:
Fetches debug from anthropics/knowledge-work-plugins 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 debug. Access via /debug 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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If you see unfamiliar placeholders or need to check which tools are connected, see CONNECTORS.md.
Run a structured debugging session to find and fix issues systematically.
/debug $ARGUMENTS
┌─────────────────────────────────────────────────────────────────┐
│ DEBUG │
├─────────────────────────────────────────────────────────────────┤
│ Step 1: REPRODUCE │
│ ✓ Understand the expected vs. actual behavior │
│ ✓ Identify exact reproduction steps │
│ ✓ Determine scope (when did it start? who is affected?) │
│ │
│ Step 2: ISOLATE │
│ ✓ Narrow down the component, service, or code path │
│ ✓ Check recent changes (deploys, config changes, dependencies) │
│ ✓ Review logs and error messages │
│ │
│ Step 3: DIAGNOSE │
│ ✓ Form hypotheses and test them │
│ ✓ Trace the code path │
│ ✓ Identify root cause (not just symptoms) │
│ │
│ Step 4: FIX │
│ ✓ Propose a fix with explanation │
│ ✓ Consider side effects and edge cases │
│ ✓ Suggest tests to prevent regression │
└─────────────────────────────────────────────────────────────────┘
Tell me about the problem. Any of these help:
## Debug Report: [Issue Summary]
### Reproduction
- **Expected**: [What should happen]
- **Actual**: [What happens instead]
- **Steps**: [How to reproduce]
### Root Cause
[Explanation of why the bug occurs]
### Fix
[Code changes or configuration fixes needed]
### Prevention
- [Test to add]
- [Guard to put in place]
If ~~monitoring is connected:
If ~~source control is connected:
If ~~project tracker is connected:
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.
mattpocock/skills
parcadei/continuous-claude-v3
cursor/plugins
ailabs-393/ai-labs-claude-skills
ailabs-393/ai-labs-claude-skills
pproenca/dot-skills
Solid pick for teams standardizing on skills: debug is focused, and the summary matches what you get after install.
Useful defaults in debug — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
debug has been reliable in day-to-day use. Documentation quality is above average for community skills.
Registry listing for debug matched our evaluation — installs cleanly and behaves as described in the markdown.
debug fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
I recommend debug for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
debug is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
We added debug from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
Useful defaults in debug — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
Keeps context tight: debug is the kind of skill you can hand to a new teammate without a long onboarding doc.
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