error-handling
Skill0 starsChanged 3 months agoMITView on GitHub
Structured bug-handling flow: locate → fix → audit → prevent. Prevention is chosen by error type (syntax/API misuse → code review; state/edge cases → unit tests; architecture flaws → design docs). Use when the user says 'there's a bug', 'it crashes', 'help me fix this', 'why does this fail'. Don't use for cross-system comm links (use comm-link-debugging).
80 other projects use a version of this.
Adopted by
Most recently taken up by
- codewithmukesh/dotnet-claude-kittheir own version, first seen Nov 8, 2026
- lhbsaa/apex-unifiedtheir own version, first seen Nov 8, 2026
- ahmadvahidi/skill-atlastheir own version, first seen Nov 8, 2026
- nisarth/claude-skills-storetheir own version, first seen Nov 8, 2026
- AndersonAndrad/skillstheir own version, first seen Nov 8, 2026
- AnyOrgName/php-skillstheir own version, first seen Nov 8, 2026
Used with
Projects with it also use convention-learner, caching 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.
codewithmukeshSkillconvention-learner
Detects and enforces project-specific coding conventions by analyzing existing codebase patterns. Learns naming conventions, folder structure, test organization, and coding style from the existing code. Load when: "conventions", "coding standards", "project patterns", "enforce style", "detect patterns", "learn conventions", "code consistency".
Also in 3 projects that use this
wpankSkillcaching
Caching strategies, invalidation, eviction policies, HTTP caching, distributed caching, and anti-patterns. Use when designing cache layers, choosing eviction policies, debugging stale data, or optimizing read-heavy workloads.
Also in 6 projects that use this
diego-tobalinaSkilllogging
Logging best practices for Java (SLF4J/Logback) and Node.js (Winston/Pino). Use for structured logging, log levels, and avoiding sensitive data exposure.
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codewithmukeshSkillopentelemetry
OpenTelemetry observability for .NET 10 applications. Covers traces, metrics, and logs using the OpenTelemetry SDK with OTLP export. Includes custom ActivitySource, IMeterFactory metrics, resource configuration, and Aspire Dashboard integration. Load this skill when setting up distributed tracing, custom metrics, OTLP export, or when the user mentions "OpenTelemetry", "OTLP", "traces", "spans", "Activity", "ActivitySource", "metrics", "IMeterFactory", "Meter", "Counter", "Histogram", "Gauge", "telemetry", "observability", "distributed tracing", "OTEL", or "Aspire Dashboard".
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MovGP0Skillmodern-csharp
Modern C# style guidance for Bendex and MicroSea code changes, including primary constructors, expression-bodied members, var usage, target-typed new, lambdas, and pattern matching.
Also in 3 projects that use this
MicrosoftSkillresilience
Apply resilience patterns (retry, backoff, circuit breaking) when writing or reviewing code that makes outbound HTTP/REST calls, database operations, or any I/O that can experience transient failures. Use this skill when: (1) writing new code that calls external services or APIs, (2) reviewing code that uses fetch, HTTP clients, or service-to-service calls, (3) adding queue consumers or workers that interact with remote systems, (4) debugging intermittent failures in production.
Also in 4 projects that use this
Other versions80 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 80
- microsoft/data-formulator★ 17ksame name
- epicenter-md/epicenter★ 4.8ksame name
- EpicenterHQ/epicenter★ 4.8ksame name
- software-mansion/react-native-executorch★ 1.8ksame name
- CloudAI-X/claude-workflow★ 1.4ksame name
- CloudAI-X/claude-workflow-v2★ 1.4ksame name
- codewithmukesh/dotnet-claude-kit★ 808same name
- alchemyplatform/aa-sdk★ 321same name
- Resgrid/Core★ 238same name
- DevelopersGlobal/ai-agent-skills★ 216same name
70 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 repository15 other files it gives its agents.
- AGENTS.mdAGENTS.md
- skill-recapSkill
- comm-link-debuggingSkill
- deep-comparison-analysisSkill
- industry-practice-surveySkill
- tech-selection-convergenceSkill
- dev-recap-docsSkill
- guide-and-manualSkill
- readme-syncSkill
- change-recapSkill
- code-reviewSkill
- legacy-code-dispositionSkill
- phase-trackingSkill
- repo-hygieneSkill
- workspace-consistencySkill
The file
We split this skill into the rules it gives an agent
6 rules. 0 are common, 6 are distinctive, and 0 are very specific to this project.
0
Common
Most of the 64 edited versions we read keep these.
6
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 23
After receiving the user's bug report, walk through the following stages in order.
- Distinctive: line 32
If the information is insufficient to locate the cause, tell the user clearly what is needed (runtime logs, crash / exception stack, …
- Distinctive: line 57
Search the codebase for the same error pattern:
- Distinctive: line 58
Search for related API calls or code patterns.
- Distinctive: line 90
After completion, summarize the full set of changes from this error-handling session and present to the user.
- Distinctive: line 94
All stages complete and confirmed by the user.
“Common” is measured: kept by at least 6 in 10 of the 64 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
When to use
- The user reports a bug, error, crash, or unexpected behavior.
- "Why does this fail?", "It crashes when...", "Help me fix this".
When NOT to use
- Cross-system communication-link integration issues — use
comm-link-debugging(it has specialized methodology for black-box peers). - Performance optimization that is not a bug.
- General code review of staged changes — use
code-review.
Process
After receiving the user's bug report, walk through the following stages in order. Each stage must present its conclusion or proposal to the user and wait for explicit confirmation before proceeding to the next. Silent advancement breaks the user's ability to course-correct.
Stage 1: Locate the cause
Investigate the code based on the user's information and identify the root cause.
The user may have described only the abnormal behavior (e.g., "it crashes when I tap this") without a full error log. In that case:
- Trace possible causes in the relevant code based on the behavior description.
- If the information is insufficient to locate the cause, tell the user clearly what is needed (runtime logs, crash / exception stack, reproduction steps, environment info) and how to obtain it.
- Once the information arrives, continue the investigation.
Output format:
- Root-cause description (one sentence)
- Files and lines involved
- Why it happens
Present to the user and wait for confirmation.
Stage 2: Fix proposal
Propose a minimum-scope fix.
The fix should stay strictly within the problem itself; avoid scope creep. The reason is that scope expansion can introduce unpredictable knock-on effects — the user approved a fix for one issue, not a refactor. Change only what must change; do not change "what could be improved along the way".
Include:
- Files and code to modify (precise to the line)
- Description of the modification
- What is not being changed, and why
Present to the user; only apply the modification after confirmation.
Stage 3: Audit for the same pattern elsewhere
Search the codebase for the same error pattern:
- Search for related API calls or code patterns.
- List findings one by one, marking whether each needs fixing.
Present to the user and wait for confirmation.
Stage 4: Prevention plan
Discuss how to prevent the same kind of issue from recurring.
First, classify the error by nature — different types suit different prevention means:
| Error type | Hallmark | Preferred prevention |
| Syntax / type / API misuse | Compiler or linter can catch it | Code review |
| Incomplete state coverage | Syntactically and type-correct, but wrong behavior under specific state sequences | Unit tests |
| Missing boundary conditions | Happy path correct, fails on extreme input / timing | Unit tests |
| Architecture / design flaw | Problem crosses multiple layers, needs structural adjustment | Design doc + code review |
Based on the classification:
- Code review: propose specific review items to add to the project's review checklist doc (any name —
docs/code-review.md/CODE_REVIEW.md/review-checklist.mdetc. If the project has no such doc, prompt the user to create one, or temporarily record inCONTRIBUTING.md/ progress-tracking doc for later cleanup). - Unit tests: propose a test plan (which state paths to cover), add cases in the corresponding test file.
- Both: explain which range each one intercepts.
Explain the scope and limitations of the plan.
Present to the user; only implement after discussion and confirmation.
Stage 5: Implement prevention
Apply the modifications per the user's confirmed prevention plan.
After completion, summarize the full set of changes from this error-handling session and present to the user.
End conditions
- All stages complete and confirmed by the user.
- The user explicitly says to stop.
- At any stage, the user says "that's far enough".
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