🛠️
QualityPython

FMEA

by asgard-ai-platform

FMEA is a Quality skill for Claude Code, published by asgard-ai-platform in skills.

228 stars28 forkson asgard-ai-platform/skillsAdded 2026/09/03Repository updated 2026/06/06
ai-agentanthropicclaudeclaude-agent-skillsclaude-codecoding-agentknowledge-basemcpmethodologyopen-sourceprompt-engineeringskillstaiwan
Install in seconds
Install FMEA
Copy FMEA into your Claude Code skills folder. Run the command in your terminal, or review the source on GitHub before installing.
terminal
npx degit https://github.com/asgard-ai-platform/skills/tree/main/algo-mfg-fmea ~/.claude/skills/algo-mfg-fmea

Requires Node.js. Downloads this skill only — not the rest of the repository — into your Claude Code skills folder.

Without Node.js

git clone https://github.com/asgard-ai-platform/skills.git

Clones the whole repository, then copy the skill’s own directory into your skills folder yourself.

In this catalog

Source file
algo-mfg-fmea/SKILL.md in asgard-ai-platform/skills
Installs to
~/.claude/skills/algo-mfg-fmea
Collection
One of 25 skills cataloged from this repository
Category
Quality1478 skills

What FMEA does

FMEA systematically identifies failure modes, their effects, causes, and controls to prioritize risks with RPN or Action Priority. Use it when assessing product or process risks, building a risk register, or planning corrective actions.

FMEA is cataloged under Quality on DirSkills. FMEA comes from a repository tagged ai-agent, anthropic, claude, claude-agent-skills and claude-code.

Documentation

README

FMEA (Failure Mode and Effects Analysis)

Overview

FMEA systematically identifies potential failure modes, their effects, causes, and current controls. Each failure is scored on Severity (S), Occurrence (O), and Detection (D) on 1-10 scales. RPN = S × O × D prioritizes which risks to address first. AIAG-VDA FMEA (2019) replaces RPN with Action Priority (AP) matrix.

When to Use

Trigger conditions:

  • Designing new products/processes and identifying risks proactively
  • Systematically evaluating existing failure modes for prioritization
  • Meeting automotive (IATF 16949) or medical device (ISO 13485) quality requirements

When NOT to use:

  • For root cause analysis of a known problem (use fishbone/5-why)
  • For statistical analysis of defect data (use SPC or Pareto)

This is the opening of the README. Read the full README on GitHub.

Frequently asked about FMEA

  • What else does asgard-ai-platform publish alongside FMEA?

    FMEA is one of 25 skills that DirSkills catalogs from asgard-ai-platform/skills, the repository it ships in. Its siblings there include ARIMA Time Series Model, Ad Bidding Strategies and Ad Budget Allocation. Each one is a separate skill with its own page in this directory, installs the same way FMEA does, and is maintained by asgard-ai-platform in that same repository. The rest of the collection is listed on the asgard-ai-platform/skills page.

  • How does FMEA compare to other Quality skills?

    FMEA ranks #1368 by stars among the 1478 Quality skills in this catalog. The most-starred ones next to it are Benchmark, Benchmark Optimization Loop and API Design Patterns. DirSkills ranks by the star count of the repository each skill ships in, so that order reflects how popular those repositories are rather than any review of FMEA against them. Open each page to compare what they document and how they install.

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