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capa-officer

0.0
F

Senior CAPA Officer specialist for managing Corrective and Preventive Actions within Quality Management Systems. Provides CAPA process management, root cause analysis, effectiveness verification, and continuous improvement coordination. Use for CAPA investigations, corrective action planning, preventive action implementation, and CAPA system optimization.

Commands Agents Marketplace
#claude-ai#CAPA management#CAPA#action#claudecode-subagents#claude-ai-skills#CAPA system#analysis

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Installation for Agentic Skill

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skilz install alirezarezvani/claude-skills/capa-officer
skilz install alirezarezvani/claude-skills/capa-officer --agent opencode
skilz install alirezarezvani/claude-skills/capa-officer --agent codex
skilz install alirezarezvani/claude-skills/capa-officer --agent gemini

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Works with 22+ AI coding agents

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Download Agent Skill ZIP

Extract and copy to ~/.claude/skills/ then restart Claude Desktop

1. Clone the repository:
git clone https://github.com/alirezarezvani/claude-skills
2. Copy the agent skill directory:
cp -r claude-skills/ra-qm-team/capa-officer ~/.claude/skills/

Need detailed installation help? Check our platform-specific guides:

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Agentic Skill Details

Repository
claude-skills
Type
Other
Meta-Domain
N/A
Primary Domain
N/A
Market Score
0.0

Agent Skill Grade

F
Score: 54/100 Click to see breakdown

Score Breakdown

Spec Compliance
12/15
PDA Architecture
13/30
Ease of Use
12/25
Writing Style
6/10
Utility
8/20
Modifiers: +3

Areas to Improve

  • All referenced files are empty placeholders with no actual content, making the layered structure non-functional
  • File exceeds 100 lines (191 lines) but lacks a table of contents for navigation
  • Uses promotional terms like 'Expert-level' and 'Senior' which are not instructional

Recommendations

  • Focus on improving Pda (currently 13/30)
  • Focus on improving Ease Of Use (currently 12/25)
  • Focus on improving Utility (currently 8/20)

Graded: 1/23/2026

Developer Feedback

I found your capa-officer skill while reviewing some recent submissions—the concept of turning corrective action tracking into a structured tool is solid, though the execution needs some work to reach its potential at 54 points.

Links:

The TL;DR

You're at 54/100, landing in F territory. This is based on Anthropic's best practices for agentic skills. Your strongest area is Spec Compliance (12/15)—the frontmatter and naming are clean. But Utility is dragging you down hard at 8/20, and PDA (Progressive Disclosure Architecture) is at 13/30. The real blocker? All your referenced files are empty placeholders.

What's Working Well

  • Valid YAML frontmatter - Your metadata structure is correct with proper name conventions in hyphen-case
  • Clear workflow structure - You've got numbered steps and decision points laid out logically for CAPA processes
  • Good trigger terms - Description includes "CAPA investigations" and "corrective action planning" which should help discoverability
  • Quality checklist bonus - You included a pre-commit checklist which added +2 points

The Big One: Empty Reference Files

Here's what's killing your score: references/api_reference.md, scripts/example.py, and assets/example_asset.txt are all empty placeholders. This breaks your entire layered architecture strategy. You've got the structure there, but no substance.

The fix: Either actually populate these with real content (investigation guides, RCA templates, decision trees) or remove the references entirely. If you add concrete examples—like showing a fishbone diagram for contamination events or a 5-Why template for single-cause issues—you'd pick up roughly +8 points easy. Right now you're telling users "see the guide" but there's no guide.

Other Things Worth Fixing

  1. Add a Table of Contents - Your SKILL.md is 191 lines without a TOC. Split it into sections (Core CAPA Competencies, System Optimization, Cross-functional Integration, Resources) and add navigation links after the frontmatter. Quick +2 points.

  2. Strip the marketing language - Headers like "Senior CAPA Officer" and "Expert-level" aren't instructional. Just call it "CAPA Officer" and describe what it does functionally. Same with "Expert-level Corrective and Preventive Action"—make it purely instructional, not promotional.

  3. Add decision criteria - Your "Decision Point: Select appropriate RCA methodology" section is vague. Tell me when to use 5 Why (single-cause issues), when to use Fishbone (multi-factor, 3-6 factors), when to use FTA (safety-critical). Concrete decision trees here could add +3 points to Utility.

  4. Show validation steps - You list workflow steps but no run-check-fix patterns. What does success look like at each stage? How do I verify the CAPA actually worked? That's the feedback loop that's missing.

Quick Wins

  • Most impactful: Fill in or remove those placeholder reference files (+8 points)
  • Easiest win: Add a TOC and remove marketing language (+4 points combined)
  • Biggest ROI: Add one concrete example workflow with decision criteria (+5 points)

That's +17 points of low-hanging fruit that could get you to 71 territory.


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AI-Detected Topics

Extracted using NLP analysis

claude-ai CAPA management CAPA action claudecode-subagents claude-ai-skills CAPA system analysis claude-skills claude-code CAPA Officer preventive action CAPA process anthropic-claude Management claude-code-skills agentic-ai corrective action agentic-coding

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