rca-classical-methods
De la autor
Classical root cause analysis techniques for quality improvement and incident investigation. Covers 5 Whys (with Card's 2017 critique and boundary conditions), Ishikawa/fishbone diagrams, Fault Tree Analysis (FTA), Failure Modes and Effects Analysis (FMEA), Cause Mapping, and Doggett's method-selection framework. Use when investigating a failure, running a post-incident analysis, building a fishbone, calculating fault tree cut sets, running an FMEA pass, or deciding which classical technique fits the problem. Not suitable alone for complex socio-technical failures — escalate to rca-systems-theoretic or rca-causal-inference when the incident has multiple interacting causal chains.
Instalare
npx skills add Tibsfox/gsd-skill-creator --skill rca-classical-methods -a claude-code
Se instalează în .claude/skills/rca-classical-methods/ · Fiecare comandă descarcă skill-ul direct de pe GitHub cu utilitarul open source skills.
Fără descărcare: licența acestui skill (Personalizată sau neclară) nu ne permite să-i redistribuim fișierele. Comenzile de instalare le iau direct de pe GitHub.
Vrei ca agentul să-ți propună skill-uri în timp ce scrii? Vezi cum folosești skill-urile din IDE.
Verificări de siguranță pe SKILL.md
Niciun avertisment.
De ce 72
aiqbench calculează scorul de încredere din semnale publice. Nu este un audit de securitate, așa că citește un skill înainte să-l instalezi.
Skill-uri similare
Cele mai apropiate de acesta prin ce fac și când sunt folosite.
- 022-root-cause-analysisjabrena/plinthUse when a framed problem needs root-cause investigation rather than a symptom-level fix, applying Five Whys, Fishbone (Ishikawa), Current Reality Tree, and constraint identification. This should trigger when an issue's Root Cause Analysis point of view needs evaluation, or when a maintainer directly asks to find the root cause of a problem before proposing a fix. Part of Plinth ToolkitFinanțe★ 457
- rca-systems-theoreticTibsfox/gsd-skill-creatorSystems-theoretic approaches to root cause analysis for complex socio-technical systems where linear causal chains fail. Covers Nancy Leveson's STAMP (Systems-Theoretic Accident Model and Process), STPA (System-Theoretic Process Analysis) for hazard analysis, CAST (Causal Analysis based on STAMP) for post-incident investigation, Rasmussen's risk-management framework and dynamic safety model, Hollnagel's FRAM (Functional Resonance Analysis Method), and AcciMap. Use when investigating incidents in healthcare, aviation, nuclear, autonomous systems, distributed microservices, or any system where multiple actors and control loops interact — especially when classical RCA produces a "list of human errors" that leaves the underlying system design unchanged.Design★ 71
- postmortemnicepkg/ai-workflowUse when analyzing failures, outages, incidents, or negative outcomes, conducting blameless postmortems, documenting root causes with 5 Whys or fishbone diagrams, identifying corrective actions with owners and timelines, learning from near-misses, establishing prevention strategies, or when user mentions postmortem, incident review, failure analysis, RCA, lessons learned, or after-action review.Inginerie★ 288
- rca-causal-inferenceTibsfox/gsd-skill-creatorMathematical foundations of root cause analysis using Judea Pearl's Structural Causal Models (SCMs), do-calculus, counterfactual reasoning, Bayesian networks for fault diagnosis, graph-theoretic centrality for fault localization, information-theoretic methods (transfer entropy, mutual information), and Granger causality. Use when the incident involves quantifiable observational data, when you need to distinguish correlation from causation, when you want to compute "what would have happened if we had done X instead," or when building automated fault-detection systems that reason about cause rather than pattern-match on symptoms.Altele★ 71
- root-cause-analysisrohitg00/skillkitPerforms systematic root cause analysis to identify the true source of bugs, errors, and unexpected behavior through structured investigation phases — not just treating symptoms. Use when a user reports a bug, crash, error, or broken behavior and needs to debug, troubleshoot, or investigate why something is not working; especially for complex or intermittent issues across multiple components. Applies the Five Whys method, hypothesis-driven testing, stack trace analysis, git blame/log evidence gathering, and causal chain documentation to isolate and confirm root causes before applying any fix.Testare★ 1.6K
- tao-analyze-changenet-rcaNVIDIA/skillsPerforms deep Root Cause Analysis (RCA) on NVIDIA TAO Visual ChangeNet classification experiments with image-evidence-driven investigation. Use when analyzing ChangeNet model failures, investigating poor recall / FAR / PASS-NO_PASS metrics, auditing visual inspection pipeline quality, or running an RCA report for an AOI defect-detection model. Trigger phrases include "RCA on my ChangeNet model", "why is my AOI model failing", "audit ChangeNet predictions", "investigate FAR regressions", "root cause analysis on visual-changenet".Media★ 3.8K
Note și recenzii
—
nicio recenzie
Ai încercat acest skill? Notează-l ca să-i ajuți pe alții. Autentifică-te
Discuție
Intră în discuție. Autentifică-te