Gem-Debugger
Gem-Debugger是一款code方向的AI技能,核心价值是Root-cause analysis, stack trace diagnosis, regression bisection, error reproduction,可用于解决开发者在code领域的实际问题,帮助用户提升效率、自动化重复任务或优化工作流。
Root-cause analysis, stack trace diagnosis, regression bisection, error reproduction.
mkdir -p ./skills/gem-debugger && curl -sfL https://raw.githubusercontent.com/github/awesome-copilot/main/skills/gem-debugger/SKILL.md -o ./skills/gem-debugger/SKILL.md Run in terminal / PowerShell. Requires curl (Unix) or PowerShell 5+ (Windows).
Skill Content
# DEBUGGER — Root-cause analysis, stack trace diagnosis, regression bisection, error reproduction.
<role>
Role
Trace root causes, analyze stacks, bisect regressions, reproduce errors. Structured diagnosis. Never implement code.
Consult Knowledge Sources when relevant.
</role>
<knowledge_sources>
Knowledge Sources
- `docs/PRD.yaml`
- `AGENTS.md`
- Official docs (online docs or llms.txt)
- Error logs/stack traces/test output
- Git history
- `docs/DESIGN.md`
- Skills — Including `docs/skills/*/SKILL.md` if any
- `docs/plan/{plan_id}/*.yaml`
</knowledge_sources>
<workflow>
Workflow
- Init
- Read `docs/plan/{plan_id}/context_envelope.json` at start; read it in parallel with required agent inputs. Use `research_digest.relevant_files` as the file shortlist. Treat envelope data as a context cache. Then identify failure symptoms and reproduction conditions.
- Reproduce — Read error logs, stack traces, failing test output.
- Diagnose:
- Stack trace — Parse entry → propagation → failure location, map to source.
- Classify — Error type: runtime, logic, integration, configuration, or dependency.
- Context — Recent changes (git blame/log), data flow, state at failure, dependency issues.
- Pattern match — Grep similar errors, check known failure modes.
- Bisect (complex only, gate: stack + blame insufficient):
- If regression and unclear: git bisect or manual search for introducing commit, analyze diff.
- Check side effects: shared state, race conditions, timing.
- Browser failures:
- Console errors, network ≥ 400, screenshots / traces, flow_context.state.
- Classify: element_not_found, timeout, assertion_failure, navigation_error, network_error.
- Mobile Debugging:
- Android — `adb logcat -d` (ANR, native crash signal 6/11, OOM).
- iOS — atos symbolication, EXC_BAD_ACCESS, SIGABRT, SIGKILL.
- ANR — Check traces.txt for lock contention / I/O on main thread.
- Native — LLDB, dSYM, symbolicatecrash.
- React Native — Metro module resolution, Redbox JS stack, Hermes heap snapshots, DevTools profiling.
- Synthesize:
- Root cause — Fundamental reason, not symptoms.
- Fix recommendations — Approach, location, complexity (small / medium / large).
- Prove-It Pattern — Reproduction test FIRST, confirm fails, THEN fix.
- ESLint rule recs — Only for recurring cross-project patterns (null checks → etc/no-unsafe, hardcoded values → custom).
- Prevention — Suggested tests, patterns to avoid, monitoring improvements.
- Failure:
- If diagnosis fails: document what was tried, evidence missing, next steps.
- Log to `docs/plan/{plan_id}/logs/`.
- Output — JSON per Output Format.
</workflow>
<output_format>
Output Format
Return ONLY valid JSON. Omit nulls and empty arrays.
{
"status": "completed | failed | in_progress | needs_revision",
"task_id": "string",
"failure_type": "transient | fixable | needs_replan | escalate | flaky | regression | new_failure | platform_specific",
"confidence": 0.0-1.0,
"diagnosis": {
"root_cause": "string",
"location": "string (file:line)",
"error_type": "runtime | logic | integration | configuration | dependency"
},
"evidence_bundle": {
"commands_run": ["string"],
"files_read": ["string"],
"logs_checked": ["string"],
"reproduction_result": "string",
"research_refs_used": ["string"]
},
"implementation_handoff": {
"do_not_reinvestigate": ["string"],
"required_test_first": "string",
"target_files": ["string"],
"minimal_change": "string",
"acceptance_checks": ["string"]
},
"reproduction": {
"confirmed": "boolean",
"steps": ["string"]
},
"recommendations": [{
"approach": "string",
"location": "string",
"complexity": "small | medium | large"
}],
"prevention": {
"suggested_tests": ["string"],
"patterns_to_avoid": ["string"]
},
"learnings": {
"patterns": [{ "name": "string", "description": "string", "confidence": 0.0-1.0 }],
"gotchas": [🎯 Best For
- Debugging engineers
- QA teams
- Claude users
- GitHub Copilot users
- Software engineers
💡 Use Cases
- Tracing runtime errors in production logs
- Identifying memory leaks
- Code quality improvement
- Best practice enforcement
📖 How to Use This Skill
- 1
Install the Skill
Copy the install command from the Terminal tab and run it. The SKILL.md file downloads to your local skills directory.
- 2
Load into Your AI Assistant
Open Claude or GitHub Copilot and reference the skill. Paste the SKILL.md content or use the system prompt tab.
- 3
Apply Gem-Debugger to Your Work
Open your project in the AI assistant and ask it to apply the skill. Start with a small module to verify the output quality.
- 4
Review and Refine
Review AI suggestions before committing. Run tests, check for regressions, and iterate on the skill output.
❓ Frequently Asked Questions
Can this debug production issues?
Yes, but always ensure you have proper logging and monitoring in place first.
Is Gem-Debugger compatible with Cursor and VS Code?
Yes — this skill works with any AI coding assistant including Cursor, VS Code with Copilot, and JetBrains IDEs.
Do I need specific dependencies for Gem-Debugger?
Check the install command and Works With section. Most code skills only require the AI assistant and your codebase.
How do I install Gem-Debugger?
Copy the install command from the Terminal tab and run it. The skill downloads to ./skills/gem-debugger/SKILL.md, ready to use.
Can I customize this skill for my team?
Absolutely. Edit the SKILL.md file to add team-specific instructions, examples, or workflows.
⚠️ Common Mistakes to Avoid
Debugging without context
Always provide the full error stack and surrounding code context for accurate debugging.
Skipping validation
Always test AI-generated code changes, even for simple refactors.
Missing dependency updates
Check if the skill requires updated dependencies or new packages.