systematic-debugging
Skill130 starsChanged 10 months agoMITView on GitHub
4-phase systematic debugging methodology with root cause analysis and evidence-based verification. Use when debugging complex issues.
We split this skill into the rules it gives an agent
1 rule. 0 are common, 1 is distinctive, and 0 are very specific to this project.
0
Common
Most of the 169 edited versions we read keep these.
1
Distinctive
This author's own choices. Worth a look.
0
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 17
Before fixing, reliably reproduce the issue.
“Common” is measured: kept by at least 6 in 10 of the 169 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
Systematic Debugging
Source: obra/superpowers
Overview
This skill provides a structured approach to debugging that prevents random guessing and ensures problems are properly understood before solving.
4-Phase Debugging Process
Phase 1: Reproduce
Before fixing, reliably reproduce the issue.
## Reproduction Steps
1. [Exact step to reproduce]
2. [Next step]
3. [Expected vs actual result]
## Reproduction Rate
- [ ] Always (100%)
- [ ] Often (50-90%)
- [ ] Sometimes (10-50%)
- [ ] Rare (<10%)Phase 2: Isolate
Narrow down the source.
## Isolation Questions
- When did this start happening?
- What changed recently?
- Does it happen in all environments?
- Can we reproduce with minimal code?
- What's the smallest change that triggers it?Phase 3: Understand
Find the root cause, not just symptoms.
## Root Cause Analysis
### The 5 Whys
1. Why: [First observation]
2. Why: [Deeper reason]
3. Why: [Still deeper]
4. Why: [Getting closer]
5. Why: [Root cause]Phase 4: Fix & Verify
Fix and verify it's truly fixed.
## Fix Verification
- [ ] Bug no longer reproduces
- [ ] Related functionality still works
- [ ] No new issues introduced
- [ ] Test added to prevent regressionDebugging Checklist
## Before Starting
- [ ] Can reproduce consistently
- [ ] Have minimal reproduction case
- [ ] Understand expected behavior
## During Investigation
- [ ] Check recent changes (git log)
- [ ] Check logs for errors
- [ ] Add logging if needed
- [ ] Use debugger/breakpoints
## After Fix
- [ ] Root cause documented
- [ ] Fix verified
- [ ] Regression test added
- [ ] Similar code checkedCommon Debugging Commands
# Recent changes
git log --oneline -20
git diff HEAD~5
# Search for pattern
grep -r "errorPattern" --include="*.ts"
# Check logs
pm2 logs app-name --err --lines 100Anti-Patterns
❌ Random changes - "Maybe if I change this..." ❌ Ignoring evidence - "That can't be the cause" ❌ Assuming - "It must be X" without proof ❌ Not reproducing first - Fixing blindly ❌ Stopping at symptoms - Not finding root cause
Other versions187 projects use a version of this.
Word for word · 3
- SKB3002/agenthub★ 4100% same
- sid-lakhani/agents-config★ 2100% same
- tquangkhai98/browser-profiles-manager★ 2100% same
Edited · 2
- vudovn/ag-kit★ 8.2k90% same
- vudovn/antigravity-kit★ 8.2k90% same
Wrote their own version · 182
- obra/superpowers★ 305ksame name
- NousResearch/hermes-agent★ 257ksame name
- open-metadata/OpenMetadata★ 16ksame name
- jnMetaCode/superpowers-zh★ 8.4ksame name
- openai/plugins★ 7.4ksame name
- ChrisWiles/claude-code-showcase★ 6.1ksame name
- farm-fe/farm★ 5.6ksame name
- microsoft/FluidFramework★ 5ksame name
- compozy/compozy★ 2.8ksame name
- heyitsnoah/claudesidian★ 2.6ksame name
172 more not listed
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
Used alongsideProjects with it also use chinese-code-review, chinese-commit-conventions and 10 more.
Other files people use alongside this one.
Files found in the same public projects as a version of this one, more often than they turn up anywhere else. Each project counts once, large collections count for less, and this file's own repository is left out.
GEd520Skillchinese-code-review
中文 review 沟通参考——话术模板、分级标注(必须修复/建议修改/仅供参考)、国内团队常见反模式应对。仅在用户显式 /chinese-code-review 时调用,不要根据上下文自动触发。
Also in 7 projects that use this
GEd520Skillchinese-commit-conventions
中文 commit 与 changelog 配置参考——Conventional Commits 中文适配、commitlint/husky/commitizen 中文模板、conventional-changelog 中文配置。仅在用户显式 /chinese-commit-conventions 时调用,不要根据上下文自动触发。
Also in 7 projects that use this
obraSkilldiagnosing-superpowers
Use when a superpowers session went wrong and your human partner wants to know why — repeated work, ignored plans, stumbles, poor results, a skill that didn't fire, "it took too long", "why is it so expensive", "what is it doing" — or wants to build a bug report for the superpowers maintainers, for the current session or a past one identified by id or path, on any harness.
Also in 12 projects that use this
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Also in 4 projects that use this
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Build AI chat interfaces with custom backends, authentication, and context injection. Use when integrating chat UI with AI agents, adding auth to chat, injecting user/page context, or implementing httpOnly cookie proxies. Covers ChatKitServer, useChatKit, and MCP auth patterns. NOT when building simple chatbots without persistence or custom agent integration.
Also in 4 projects that use this
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