diagnosing-bugs
Skill1 starsChanged 2 months agoMITView on GitHub
Diagnose a reported defect or performance regression through reproduction, targeted probes, and causal verification.
193 other projects use a version of this.
Adopted by
Most recently taken up by
- ChatbotXIO/ChatbotXtheir own version, first seen Nov 9, 2026
- wowyuarm/dsh-agent-teamtheir own version, first seen Nov 8, 2026
- Contexera/dsh-agent-teamtheir own version, first seen Nov 8, 2026
- The-Vibe-Company/quivrtheir own version, first seen Nov 8, 2026
- gaoyu06/harnesstheir own version, first seen Nov 8, 2026
- DnsQueen/orcinus-skillstheir own version, first seen Nov 8, 2026
Used with
Projects with it also use setup-ts-deep-modules, loop-me 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.
liufeng1976Skillsetup-ts-deep-modules
Wire dependency-cruiser into a TypeScript repo so each package is a deep module — implementation hidden in subfolders, reachable only through its entry-point files. User-invoked.
Also in 43 projects that use this
RoentekSkillloop-me
Grill me about specs for the workflows I want to build, within this workspace.
Also in 55 projects that use this
LesaniSkillwriting-beats
Shape an article as a journey of beats, choose-your-own-adventure style. The user picks a starting beat from the raw material, you write only that beat, then offer options for where to pivot next, beat by beat, until the article reaches a natural end. Use when the user has raw material and wants to assemble it as a narrative rather than an argument.
Also in 58 projects that use this
AWSSkillto-questionnaire
Turn a decision you can't fully answer into a questionnaire for someone else to fill in.
Also in 88 projects that use this
LesaniSkillwriting-shape
Take a markdown file of raw material and shape it into an article through a conversational session — drafting candidate openings, growing the piece paragraph by paragraph, arguing about format (lists, tables, callouts, quotes) at each step. Use when the user has a pile of notes, fragments, or a rough draft and wants help turning it into something publishable.
Also in 56 projects that use this
AWSSkillwizard
Generate an interactive bash wizard that walks a human through steps only they can perform. Use when provisioning infrastructure, setting up credentials or CI secrets, walking an unfamiliar third-party dashboard, or running a one-off migration or cutover. Don't invoke this for steps the agent can perform itself.
Also in 122 projects that use this
- +1 more from Lesani
- +2 more from aws
Other versions193 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 193
- mattpocock/skills★ 309ksame name
- QuivrHQ/quivr★ 40ksame name
- The-Vibe-Company/quivr★ 40ksame name
- GreyDGL/PentestGPT★ 16ksame name
- ArcReel/ArcReel★ 6.3ksame name
- vinvcn/mattpocock-skills-zh-CN★ 5.5ksame name
- withcoral/coral★ 4.9ksame name
- bestofjs/bestofjs★ 3.1ksame name
- getsentry/sentry-react-native★ 1.8ksame name
- ChatbotXIO/ChatbotX★ 1.1ksame name
183 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.
- adversarial-refinement-loopSkill
- atomic-commitsSkill
- audio-verificationSkill
- build-without-fearSkill
- comfyui-assetsSkill
- finish-the-listSkill
- frontend-designSkill
- headless-terminal-workflowSkill
- parallelize-independent-workSkill
- prefer-second-monitorSkill
- require-external-communication-approvalSkill
- state-of-the-art-firstSkill
- try-it-firstSkill
- visual-verificationSkill
- web-design-guidelinesSkill
- writing-for-agentsSkill
The file
We split this skill into the rules it gives an agent
5 rules. 0 are common, 5 are distinctive, and 0 are very specific to this project.
0
Common
Most of the 180 edited versions we read keep these.
5
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 16
Read relevant code and logs to locate the failing path and construct a probe.
- Distinctive: line 26
If reproduction is unavailable, state the gap and continue evidence-led source inspection or targeted diagnostics.
- Distinctive: line 29
Do not add production instrumentation or access without authorization.
- Distinctive: line 56
When fixing is in scope, correct the demonstrated cause.
- Distinctive: line 61
Remove task-owned temporary instrumentation and probes when no longer needed.
“Common” is measured: kept by at least 6 in 10 of the 180 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
Diagnose the reported defect
Adapted from Matt Pocock's diagnosing-bugs skill; see LICENSE.txt.
Establish the actual symptom and a useful feedback loop at the seam where the failure occurs. Prefer an existing test, command, trace, or real interaction that can distinguish the reported bug from nearby failures.
Build evidence without blocking discovery
Read relevant code and logs to locate the failing path and construct a probe. Confirm that the probe can expose the reported symptom before trusting its pass. Reduce irrelevant inputs when that improves diagnosis, without requiring every remaining input to be proven minimal before continuing.
For intermittent failures, record reproduction frequency and conditions. Use bounded repetition, stress, or timing probes suited to the defect. A device or production-only bug may need captured evidence or a longer-running probe; it need not become a deterministic seconds-fast unit test.
If reproduction is unavailable, state the gap and continue evidence-led source inspection or targeted diagnostics. Keep hypotheses tentative. Request only the specific missing artifact, access, or decision that enables further work. Do not add production instrumentation or access without authorization.
Distinguish causes
Rank plausible explanations and define an observable prediction for each. Choose the next probe by how well it separates those explanations. Change one relevant variable at a time when possible; use a debugger, narrow logs, or profiling appropriate to the failure. Performance work needs comparable baseline measurements rather than adjectives.
Communicate findings that affect the user's decisions. A fixed number of hypotheses or a checkpoint before every experiment is unnecessary.
Protect diagnostic data
Inspect and share only the necessary redacted excerpts. Logs, HARs, URLs, dumps, and screenshots can contain credentials and personal data. Keep authentication in the user's normal application flow; never request passwords or tokens in a diagnostic transcript. If human observation is necessary, ask for the relevant action and symptom directly rather than requiring an interactive shell script.
Complete the requested diagnosis or fix
For a diagnosis-only request, return the supported cause or ranked findings, the evidence, and the exact unresolved question. Code changes are outside that deliverable unless the user also requests a fix.
When fixing is in scope, correct the demonstrated cause. Where a durable regression test can exercise the real failure pattern, make it fail before the fix and pass afterward. Otherwise preserve the useful reproduction or explain the coverage gap. Recheck the original scenario and run the affected project checks.
Remove task-owned temporary instrumentation and probes when no longer needed; preserve user work and useful evidence. Report the cause, observed outcome, and remaining uncertainty. A non-reproduction is not proof that a live fault is gone.
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