systematic-debugging
Skill1 starsChanged 7 days agoMITView on GitHub
Diagnose reproducible bugs, failing tests, build failures, or unexpected behaviour when the cause is unknown. Make a focused fix only when implementation is authorized.
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 repository16 other files it gives its agents.
- AGENTS.mdAGENTS.md
- adaptive-workflowSkill
- architecture-mapSkill
- browser-diagnosticsSkill
- domain-modelingSkill
- feature-discoverySkill
- lean-senior-engineeringSkill
- release-readinessSkill
- research-plan-implementSkill
- skill-security-guardSkill
- spec-to-code-verificationSkill
- transaction-safe-engineeringSkill
- ui-design-intelligenceSkill
- ui-implementationSkill
- ui-quality-verificationSkill
- verification-before-completionSkill
The file
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 177 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 14
If reproduction is unavailable, inspect the supplied evidence, state the limitation, and investigate independently where possible.
“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
Identify what causes the observed failure before selecting a fix. Scale the investigation to the problem: a clear error may need one focused check; intermittent behaviour may need instrumentation.
Establish the failure
Record expected and actual behaviour, a minimal triggering input or sequence, the environment, and the first relevant error. Reproduce using the project's existing tooling when available. Inspect the failing assertion and complete relevant stack trace.
If reproduction is unavailable, inspect the supplied evidence, state the limitation, and investigate independently where possible. Ask only for the missing information that prevents progress. Label any proposed fix as unverified until the original failure can be tested.
Locate the cause
Trace the faulty value or state through callers and boundaries. Compare a working path and inspect recent relevant changes. Distinguish application logic, configuration, dependency, and environmental failures.
For diagnosis-only work, use existing logs, read-only inspection, or isolated scratch experiments without editing repository source or configuration. When code changes are authorized, add narrow temporary instrumentation if a boundary is uncertain. Capture field names, types, timing, and redacted identifiers as needed; do not print credentials or complete sensitive payloads. Avoid permanent instrumentation unless it serves the requested fix.
Test a hypothesis
State a concrete explanation and the observation that would confirm or reject it. Use a small experiment that isolates the relevant variable. Read the result before changing the explanation. Preserve useful evidence and remove temporary changes that no longer serve the task.
When attempts keep failing, stop stacking patches. Revisit the reproduction and assumptions, seek another explanation, and report what each experiment ruled out. Do not declare an architectural flaw merely because several attempts failed. Escalate a decision only if the required change exceeds the user's requested scope.
Resolve within scope
A diagnosis-only request ends with the supported cause, evidence, and fix direction. A request to fix includes the necessary implementation and verification without another routine confirmation.
For a fix, reuse a test that captures the regression or add a focused case when coverage is missing. Implement at the responsible boundary and rerun the original reproduction plus affected neighbouring checks. Use synchronization or a controlled clock for timing failures rather than arbitrary sleeps.
Report cause, change if authorized, reproduction result, and any remaining uncertainty. Treat a failed reproduction due to missing dependencies as blocked evidence, not proof that the bug is fixed.
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