systematic-debugging
Skill0 starsChanged 7 days agoMITView on GitHub
Find the root cause before fixing. Use when a bug, failing test, build failure or unexpected behaviour is not obvious at first glance, or when a first fix did not work.
190 other projects use a version of this.
Adopted by
Most recently taken up by
- DemonDamon/AgenticXtheir own version, first seen Nov 9, 2026
- chrysogonus/power-agentstheir own version, first seen Nov 8, 2026
- willy92wins/DayZ-Modding-Knowledge-Packtheir own version, first seen Nov 8, 2026
- roundpilot/superpowers-antigravitytheir own version, first seen Nov 8, 2026
- REPOZY/superpowers-optimizedtheir own version, first seen Nov 8, 2026
- lingyired/status-triotheir own version, first seen Nov 8, 2026
Used with
Projects 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.
Leodorareluctant259Skillchinese-code-review
中文代码审查规范——在保持专业严谨的同时,用符合国内团队文化的方式给出有效反馈
Also in 8 projects that use this
Leodorareluctant259Skillchinese-commit-conventions
中文 Git 提交规范 — 适配国内团队的 commit message 规范和 changelog 自动化
Also in 8 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 20 projects that use this
mjunaidcaSkillbuilding-chatgpt-apps
Guides creation of ChatGPT Apps with interactive widgets using OpenAI Apps SDK and MCP servers. Use when building ChatGPT custom apps with visual UI components, embedded widgets, or rich interactive experiences. Covers widget architecture, MCP server setup with FastMCP, response metadata, and Developer Mode configuration. NOT when building standard MCP servers without widgets (use building-mcp-servers skill instead).
Also in 4 projects that use this
mjunaidcaSkillbuilding-chat-interfaces
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
- +2 more from Leodorareluctant259
- +5 more from mjunaidca
Other versions190 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 190
- obra/superpowers★ 314ksame name
- NousResearch/hermes-agent★ 262ksame name
- open-metadata/OpenMetadata★ 16ksame name
- jnMetaCode/superpowers-zh★ 8.4ksame name
- vudovn/ag-kit★ 8.2ksame name
- vudovn/antigravity-kit★ 8.2ksame name
- openai/plugins★ 7.8ksame name
- ChrisWiles/claude-code-showcase★ 6.1ksame name
- farm-fe/farm★ 5.6ksame name
- microsoft/FluidFramework★ 4.9ksame name
180 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.
In this repository10 other files it gives its agents.
- CLAUDE.mdCLAUDE.md
- design-checkSkill
- handoffSkill
- playbookSkill
- prSkill
- retroSkill
- spec-firstSkill
- tddSkill
- ux-principlesSkill
- verification-before-completionSkill
The file
We split this skill into the rules it gives an agent
6 rules. 0 are common, 3 are distinctive, and 3 are very specific to this project.
0
Common
Most of the 177 edited versions we read keep these.
3
Distinctive
This author's own choices. Worth a look.
3
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 10
Rule: no fix before you can say what the root cause is and why.
- Distinctive: line 14
Read the whole error: message, stack trace, file and line, codes, warnings before it.
- Distinctive: line 16
Check what changed: git log, git diff, dependency updates, config and environment differences.
- Very specific: line 30
Write a failing test that reproduces the bug (tdd).
- Very specific: line 32
Run the test and the suite (verification-before-completion).
- Very specific: line 33
Consider validation at other layers so the same bad data cannot get in elsewhere: defense-in-depth.md.
“Common” is measured: kept by at least 6 in 10 of the 177 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
Adapted from obra/superpowers systematic-debugging (MIT).
Rule: no fix before you can say what the root cause is and why. Fixing a symptom leaves the bug in place.
1. Investigate
- Read the whole error: message, stack trace, file and line, codes, warnings before it.
- Reproduce it reliably and write down the exact steps. If you cannot reproduce it, gather more data; do not guess.
- Check what changed:
git log,git diff, dependency updates, config and environment differences. - With several layers (request → controller → service → database; CI → build → deploy), log what enters and leaves each boundary once, to see where it breaks before asking why.
- Trace a bad value back to where it originates and fix it there. See
root-cause-tracing.md.
2. Compare
Find similar code in the same project that works. List every difference between the working and the broken case, including the ones that "can't matter". When following a library or framework pattern, read its documentation in full (Context7 / official docs) rather than skimming.
3. Hypothesis
State one hypothesis: "X is the cause because Y." Test it with the smallest possible change, one variable at a time. If it is wrong, form a new one; do not stack fixes on top of each other. If you do not understand something, say so.
4. Fix
- Write a failing test that reproduces the bug (
tdd). - Make one fix, at the root cause. No "while I'm here" changes.
- Run the test and the suite (
verification-before-completion). - Consider validation at other layers so the same bad data cannot get in elsewhere:
defense-in-depth.md. For flaky timing issues:condition-based-waiting.md.
When fixes keep failing
After three failed fixes, stop. Repeated failures that each reveal a new problem somewhere else point at the design, not at the bug. Tell the user what you tried, what each attempt showed, and what you think is structurally wrong, and decide together before trying again.
Stop signs
"Just try X and see", several changes at once, "probably X" without evidence, skipping the reproduction test, a fourth fix attempt. Each of these means going back to step 1.
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
No reviews yet
People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
- Partly
- It didn't
Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

