debug▌
parcadei/continuous-claude-v3 · updated Apr 8, 2026
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You are tasked with helping debug issues during manual testing or implementation. This command allows you to investigate problems by examining logs, database state, and git history without editing files. Think of this as a way to bootstrap a debugging session without using the primary window's context.
Debug
You are tasked with helping debug issues during manual testing or implementation. This command allows you to investigate problems by examining logs, database state, and git history without editing files. Think of this as a way to bootstrap a debugging session without using the primary window's context.
Initial Response
When invoked WITH a plan/ticket file:
I'll help debug issues with [file name]. Let me understand the current state.
What specific problem are you encountering?
- What were you trying to test/implement?
- What went wrong?
- Any error messages?
I'll investigate the logs, database, and git state to help figure out what's happening.
When invoked WITHOUT parameters:
I'll help debug your current issue.
Please describe what's going wrong:
- What are you working on?
- What specific problem occurred?
- When did it last work?
I can investigate logs, database state, and recent changes to help identify the issue.
Environment Information
You have access to these key locations and tools:
Logs:
- Application logs (check project-specific locations)
- Common locations:
./logs/,~/.local/share/{app}/,/var/log/
Database (if applicable):
- SQLite databases can be queried with
sqlite3 - Check project config for database locations
Git State:
- Check current branch, recent commits, uncommitted changes
- Similar to how
commitanddescribe_prcommands work
Service Status:
- Check running processes:
ps aux | grep {service} - Check listening ports:
lsof -i :{port}
Process Steps
Step 1: Understand the Problem
After the user describes the issue:
-
Read any provided context (plan or ticket file):
- Understand what they're implementing/testing
- Note which phase or step they're on
- Identify expected vs actual behavior
-
Quick state check:
- Current git branch and recent commits
- Any uncommitted changes
- When the issue started occurring
Step 2: Investigate the Issue
Spawn parallel Task agents for efficient investigation:
Task 1 - Check Recent Logs:
Find and analyze the most recent logs for errors:
1. Find latest logs: ls -t ./logs/*.log | head -1 (or project-specific location)
2. Search for errors, warnings, or issues around the problem timeframe
3. Note the working directory if shown
4. Look for stack traces or repeated errors
Return: Key errors/warnings with timestamps
Task 2 - Database State (if applicable):
Check the current database state:
1. Locate database file (check project config)
2. Connect: sqlite3 {database_path}
3. Check schema: .tables and .schema for relevant tables
4. Query recent data based on the issue
5. Look for stuck states or anomalies
Return: Relevant database findings
Task 3 - Git and File State:
Understand what changed recently:
1. Check git status and current branch
2. Look at recent commits: git log --oneline -10
3. Check uncommitted changes: git diff
4. Verify expected files exist
5. Look for any file permission issues
Return: Git state and any file issues
Step 3: Present Findings
Based on the investigation, present a focused debug report:
## Debug Report
### What's Wrong
[Clear statement of the issue based on evidence]
### Evidence Found
**From Logs**:
- [Error/warning with timestamp]
- [Pattern or repeated issue]
**From Database** (if applicable):
```sql
-- Relevant query and result
[Finding from database]
From Git/Files:
- [Recent changes that might be related]
- [File state issues]
Root Cause
[Most likely explanation based on evidence]
Next Steps
-
Try This First:
[Specific command or action] -
If That Doesn't Work:
- Restart relevant services
- Check browser console for frontend errors
- Run with debug flags enabled
Can't Access?
Some issues might be outside my reach:
- Browser console errors (F12 in browser)
- MCP server internal state
- System-level issues
Would you like me to investigate something specific further?
## Important Notes
- **Focus on manual testing scenarios** - This is for debugging during implementation
- **Always require problem description** - Can't debug without knowing what's wrong
- **Read files completely** - No limit/offset when reading context
- **Think like `commit` or `describe_pr`** - Understand git state and changes
- **Guide back to user** - Some issues (browser console, MCP internals) are outside reach
- **No file editing** - Pure investigation only
## Quick Reference
**Find Latest Logs**:
```bash
ls -t ./logs/*.log | head -1
# Or check project-specific log locations
Database Queries (SQLite):
sqlite3 {database_path} ".tables"
sqlite3 {database_path} ".schema {table}"
sqlite3 {database_path} "SELECT * FROM {table} ORDER BY created_at DESC LIMIT 5;"
Service Check:
ps aux | grep {service_name}
lsof -i :{port}
Git State:
git status
git log --oneline -10
git diff
Remember: This command helps you investigate without burning the primary window's context. Perfect for when you hit an issue during manual testing and need to dig into logs, database, or git state.
How to use debug 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 debug
Execute installation command
Execute the skills CLI command in your project's root directory to begin installation:
The skills CLI fetches debug from GitHub repository parcadei/continuous-claude-v3 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 debug. Access the skill through slash commands (e.g., /debug) 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
4.8★★★★★65 reviews- ★★★★★Rahul Santra· Dec 24, 2024
Keeps context tight: debug is the kind of skill you can hand to a new teammate without a long onboarding doc.
- ★★★★★Noor Li· Dec 24, 2024
Keeps context tight: debug is the kind of skill you can hand to a new teammate without a long onboarding doc.
- ★★★★★Noor Mensah· Dec 20, 2024
I recommend debug for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
- ★★★★★Amelia Perez· Dec 20, 2024
Keeps context tight: debug is the kind of skill you can hand to a new teammate without a long onboarding doc.
- ★★★★★Piyush G· Dec 4, 2024
Useful defaults in debug — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
- ★★★★★Chen Johnson· Dec 4, 2024
debug is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
- ★★★★★Xiao Okafor· Dec 4, 2024
Useful defaults in debug — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
- ★★★★★Benjamin Rao· Dec 4, 2024
Registry listing for debug matched our evaluation — installs cleanly and behaves as described in the markdown.
- ★★★★★Ama White· Dec 4, 2024
debug reduced setup friction for our internal harness; good balance of opinion and flexibility.
- ★★★★★Chen Sharma· Nov 23, 2024
debug reduced setup friction for our internal harness; good balance of opinion and flexibility.
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