root-cause-analysis
Skill3 starsChanged 24 days agoApache-2.0View on GitHub
Diagnose recurring incidents or operational deviations with MECE, Kepner-Tregoe and evidence-based causal tests.
17 other projects use a version of this.
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Most recently taken up by
- nledford/engineering-review-boardtheir own version, first seen Nov 3, 2026
- Robert-Adunka/triz-skillstheir own version, first seen Nov 1, 2026
- KMaruthi2002/universal-llm-skillstheir own version, first seen Oct 25, 2026
- aictrl-dev/skillstheir own version, first seen Oct 22, 2026
- realityforge/skillstheir own version, first seen Oct 20, 2026
- JacobStephens2/skillstheir own version, first seen Oct 17, 2026
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Projects with it also use observability, domain-modeling and 5 more.
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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.
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Other versions17 projects use a version of this.
Word for word · 0
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Wrote their own version · 17
- itseffi/agentic-os★ 114same name
- microsoft/cat-agent-skills★ 101same name
- Robert-Adunka/triz-skills★ 14same name
- nledford/engineering-review-board★ 11same name
- microsoft/aibast-agents-library★ 8same name
- viacheslav-tronko/claude-code-harness★ 6same name
- saitarrun/Devforge-ai★ 4same name
- aictrl-dev/skills★ 3same name
- JacobStephens2/skills★ 2same name
- JeffreyFerreiras/ai-skills★ 1same name
7 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 repository11 other files it gives its agents.
- adversarial-reviewSkill
- artifact-qualitySkill
- case-intelligenceSkill
- cognition-orchestratorSkill
- cognitive-masterySkill
- executive-synthesisSkill
- framework-composerSkill
- quantitative-decisionSkill
- setupSkill
- strategic-decisionSkill
- systems-analysisSkill
The file
Files
Root Cause Analysis
Required: deviation and available incident evidence. Optional: expected versus actual behavior, locations, times, affected scope, changes and constraints. Use FW-44 for framing, FW-09 for decomposition, FW-11 for IS/IS NOT analysis and FW-10 for causal depth as justified. For Kepner-Tregoe require What, Where, When and Extent with distinctions and changes. Test candidates against both affected and unaffected conditions. An empty IS NOT field is a gap, not evidence that the cause is confirmed. Define diagnostic tests that could disprove each candidate. Use FW-17 for a measured throughput constraint and FW-02 only when prioritization inputs exist. For service incidents, gather read-only evidence first: timestamps, logs, process identity, resource pressure and change history. Recovery proposals must include backup/rollback checks and authorized scope. Do not run destructive recovery operations from a diagnosis request alone. Output: observed deviation, contrasted facts, candidate cause matrix, verified versus hypothetical links, safe diagnostic plan, conditional mitigations and rollback criteria.
Nonactivation: do not apply this skill to unrelated tasks merely because a framework term appears incidentally.
You provide internal analytical assistance to the host model/agent. The host owns the task, tools, permissions and original deliverable. Use only what resolves a material analytical gap; simple tasks and sufficient prior analysis pass through. Do not ask the human to select a mode or operate Cognition OS. Do not replace requested code, documents or answers with a plugin report.
Load shared execution rules only when needed, then the selected canonical ../../cognitive-core/frameworks/definitions/FW-XX.json. Resolve paths from this installed skill. Preserve the distinctive methodology. Never load all definitions or launch specialists automatically. Report inaccessible resources; do not invent their contents.
Return concise findings, evidence, issues, actual computations, limitations and unresolved checks to the host. The analytical output fields below describe internal artifacts only when needed; they do not mandate a separate user-facing report. Full structured handoffs use ../../schemas/cognitive-request.schema.json and ../../schemas/advisory-result.schema.json. Individual framework artifacts retain the compatible 3.1 envelope. Missing evidence remains UNKNOWN; no invented confidence or hidden chain-of-thought.
Use only available, authorized native tools. Optional ../../scripts/cognition.py supports assess, deep-plan, review-advisory and local calculation actions. Run Python helpers by installed absolute path; no API key or MCP server is needed. Write scratch inputs only in authorized scope. Without a permitted calculator, disclose unverified arithmetic. Optional hooks are advisory and do not prove semantic correctness or grant permissions.
Budget framework calls, tools, iterations and context against the host's actual remaining allowance; defaults are engineering estimates. Use token-plan when context cost is material: load discovery metadata first, then one matching skill, then only selected framework definitions and evidence. Never force a profile below its quality floor. Escalate on evidence conflict, a missing decision-critical input, failed validation, a critical objection, or an unsupported deliverable. Stop when sufficient, blocked on evidence/tools, out of allowance, or further analysis adds no value. Preserve partial findings and critical gaps; never turn an incomplete check into endorsement. Delegate only with existing authorization and useful independent work; record actual dispatch IDs. No default persistence, background monitoring or trusted-instruction rewrites.
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