Structured debugging methodology that enforces root cause investigation before attempting any fix.
Run in your terminal
Enforces four sequential phases: root cause investigation, pattern analysis, hypothesis testing, and implementation; skipping phases or proposing fixes prematurely triggers a redirect
Includes diagnostic instrumentation patterns for multi-component systems, data flow tracing techniques, and explicit red flags that signal you're guessing rather than investigating
Stops after three failed
AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versionsystematic-debuggingExecute the skills CLI command in your project's root directory to begin installation:
Package manager
npx skills add https://github.com/sickn33/antigravity-awesome-skills --skill systematic-debuggingFetches systematic-debugging from sickn33/antigravity-awesome-skills 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 systematic-debugging. Access via /systematic-debuggingin 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.
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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
Package manager
npx skills add https://github.com/sickn33/antigravity-awesome-skills --skill systematic-debuggingWorks with
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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.
sickn33/antigravity-awesome-skills
mattpocock/skills
parcadei/continuous-claude-v3
cursor/plugins
ailabs-393/ai-labs-claude-skills
greedychipmunk/agent-skills
Solid pick for teams standardizing on skills: systematic-debugging is focused, and the summary matches what you get after install.
systematic-debugging has been reliable in day-to-day use. Documentation quality is above average for community skills.
Keeps context tight: systematic-debugging is the kind of skill you can hand to a new teammate without a long onboarding doc.
systematic-debugging reduced setup friction for our internal harness; good balance of opinion and flexibility.
Useful defaults in systematic-debugging — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
systematic-debugging is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
We added systematic-debugging from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
systematic-debugging fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
Registry listing for systematic-debugging matched our evaluation — installs cleanly and behaves as described in the markdown.
systematic-debugging fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
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