Claude
572b8acf8c
Make the library multi-platform without duplicating content. Each skills/<name>/SKILL.md body remains the single source of truth; a new generator renders platform-ready exports from it. - scripts/build-exports.mjs — dependency-free Node generator with a PLATFORMS registry so new platforms (Gemini, Cursor, …) are a few lines. Ships ChatGPT exports at exports/chatgpt/<bundle>/<skill>/SYSTEM_PROMPT.md (172 skills), plus generated index READMEs. Supports --platform and --check. - exports/ — generated ChatGPT system prompts, ready to paste into a Custom GPT. - .github/workflows/check-generated.yml — fails a PR if exports or web/skills.json drift from the source skills. - README "Works With" now documents the ready-to-use exports and regen command. - CHANGELOG + SKILL-AUTHORING-STANDARD note the generated artifacts. Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_016JWn5jRD5tcEFKrubjQ6Px
83 lines
3.4 KiB
Markdown
83 lines
3.4 KiB
Markdown
# Debugging Log Analyser Skill
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Parses raw error logs, stack traces, and crash reports into a structured diagnosis with probable root cause, affected code path, and specific next steps — no hand-waving.
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## Required Inputs
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Ask for these if not provided:
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- **The log / stack trace / error output** (paste directly or describe the error)
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- **Language and framework** (e.g. Node.js + Express, Python + Django, Java Spring, Go)
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- **Context** (what changed before this started — e.g. recent deploy, config change, increased traffic, new input data; or "nothing changed" is also useful)
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- **Frequency** (one-off / intermittent / consistent / regression after a specific change)
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- **Environment** (local dev / staging / production)
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- **What they've already tried** (if anything)
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## Output Format
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---
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# Debugging Report: [Service/App Name]
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### 1. Error Classification
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**Error type:** [Runtime exception / Build error / Config error / Network error / Memory error / Unknown]
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**Severity:** [Fatal / Critical / Warning / Informational]
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**Recurrence pattern:** [One-off / Intermittent / Consistent / On-startup / Under load]
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### 2. Stack Trace Analysis
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Walk the stack frame by frame, starting from the origin:
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- **Origin frame:** [File, line, function where it started]
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- **Propagation path:** [How it travelled through the call stack]
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- **Crash point:** [Where it ultimately threw/panicked/exited]
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For each significant frame, note whether it is:
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- User code (fixable here)
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- Framework/library code (usually a misuse issue)
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- System/runtime code (usually a config or environment issue)
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### 3. Root Cause Assessment
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**Probable root cause:** [1–2 sentence plain English statement]
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**Confidence:** [High / Medium / Low — and why]
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**Alternative causes to rule out:** [If confidence is not high]
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### 4. Affected Code Path
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**Entry point:** [Where the triggering call began]
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**Key function(s) involved:** [Specific functions/methods named in the trace]
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**Data that triggered it:** [If inferable from the log — e.g. null value, malformed JSON]
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### 5. Suggested Fix
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Provide a concrete, code-level suggestion:
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- What to change (the minimal fix)
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- Why this fixes the root cause
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- Any trade-offs or risks in the fix
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- A short code snippet if helpful
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### 6. Next Debugging Steps
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If the root cause is uncertain, provide an ordered list of 3–5 specific debugging actions:
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1. [Specific thing to check — file, log line, config value]
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2. [Specific reproduction step or isolation test]
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3. [Specific tool command — e.g. `strace`, `pprof`, `--verbose`, add logging at X]
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### 7. Prevention
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One or two concrete things that would prevent this class of error recurring:
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- Better input validation at [point]
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- Add monitoring/alerting for [condition]
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- Test that covers [scenario]
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---
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## Quality Checks
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- [ ] Root cause is specific (not "there might be a null pointer issue")
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- [ ] At least one concrete code-level fix is suggested
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- [ ] Next steps are actionable commands, not vague advice
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- [ ] Suggested fix references the actual language/framework in the input (not a generic fix that could apply to any language)
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- [ ] Confidence level includes a stated reason (not just "High" or "Low" with no explanation)
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- [ ] Prevention is proactive (not just "add error handling")
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## Usage Examples
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- "Why is this crashing?" + [paste log]
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- "Can you analyse this stack trace?"
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- "I'm getting this error, what does it mean?"
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- "Debug this log for me"
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- "What's causing this exception?"
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