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fda-consultant-specialist

0.0
F

Senior FDA consultant and specialist for medical device companies including HIPAA compliance and requirement management. Provides FDA pathway expertise, QSR compliance, cybersecurity guidance, and regulatory submission support. Use for FDA submission planning, QSR compliance assessments, HIPAA evaluations, and FDA regulatory strategy development.

Commands Agents Marketplace
#claude-ai#claudecode-subagents#QSR compliance#claude-ai-skills#FDA requirements#FDA guidance#claude-skills#FDA regulatory

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Installation for Agentic Skill

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skilz install alirezarezvani/claude-skills/fda-consultant-specialist
skilz install alirezarezvani/claude-skills/fda-consultant-specialist --agent opencode
skilz install alirezarezvani/claude-skills/fda-consultant-specialist --agent codex
skilz install alirezarezvani/claude-skills/fda-consultant-specialist --agent gemini

First time? Install Skilz: pip install skilz

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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/fda-consultant-specialist ~/.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: 58/100 Click to see breakdown

Score Breakdown

Spec Compliance
12/15
PDA Architecture
13/30
Ease of Use
15/25
Writing Style
4/10
Utility
11/20
Modifiers: +3

Areas to Improve

  • SKILL.md references 9+ non-existent files; only placeholder exists
  • Title and intro use promotional language instead of instructional tone
  • Excessive elaboration and redundant phrasing throughout skill

Recommendations

  • Focus on improving Pda (currently 13/30)
  • Focus on improving Writing Style (currently 4/10)
  • Focus on improving Utility (currently 11/20)

Graded: 1/23/2026

Developer Feedback

I took a look at your FDA consultant skill and noticed the grading framework focuses heavily on regulatory compliance patterns—but I'm curious whether the skill documentation assumes users already know which FDA workflows they're targeting, or if it guides them through that discovery first.

Links:

The TL;DR

You're at 58/100, which lands in F territory. This is based on Anthropic's best practices for skill architecture. Your strongest area is Spec Compliance (12/15)—the frontmatter and naming conventions are solid. The real drag is Writing Style (4/10) and Progressive Disclosure Architecture (13/30)—lots of marketing fluff and missing reference files are eating your score.

What's Working Well

  • Valid YAML structure — Your frontmatter is clean and follows conventions properly
  • Good trigger identification — You nailed the discovery terms: "FDA submission", "QSR compliance", "HIPAA" are all solid FDA-specific triggers
  • Structured sections — The skill has clear headers and navigation signals that help users find what they need
  • Addresses real problems — FDA compliance is genuinely useful, and your workflows target actual regulatory pain points

The Big One: Missing Reference Architecture

Here's the problem: Your SKILL.md references 9+ files that don't exist (fda-capa-requirements.md, device-cybersecurity-guidance.md, software-hipaa-compliance.md, etc.), but only a placeholder file actually exists in the references directory. This is a -7 point hit because it breaks Progressive Disclosure Architecture—users click expecting detailed guidance and find nothing.

Fix: Either (1) create all referenced files with actual content—QSR requirements, HIPAA frameworks, submission guides—or (2) consolidate everything into SKILL.md with inline sections. The skill is 246 lines; you have room. This alone gets you +7 points.

Other Things Worth Fixing

  1. Trim the marketing language — Your intro reads like a LinkedIn profile ("Expert-level", "comprehensive knowledge", "Senior FDA Consultant"). Replace with instructional voice: "Provide FDA regulatory consulting for medical device companies" instead. That's +3 points.

  2. Cut verbose elaboration — Sentences like "Provide expert guidance on optimal FDA regulatory pathways ensuring efficient market access and regulatory compliance" should be "Guide FDA pathway selection for efficient market access." Your skill is losing token economy points because every line needs to earn its tokens. +4 points if you tighten this throughout.

  3. Add validation checkpoints — Your workflows list steps but no verification. Add: "2. VERIFY: Confirm predicate device substantial equivalence against FDA checklist" after each major step. This adds feedback loops Utility needs. +3 points.

  4. Standardize workflow format — Some sections use numbered steps, others use nested bullets. Pick one and stick with it. Also flag decision points consistently ("Decision Point: Evaluate..."). +2 points.

Quick Wins

  • Create the missing reference files (or consolidate into SKILL.md) → +7 points
  • Replace marketing language with instructional tone → +3 points
  • Tighten verbose sentences for token economy → +4 points
  • Add verification steps to workflows → +3 points
  • Standardize workflow numbering → +2 points

That's +19 points within reach—gets you to 77/100 with relatively focused changes.


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AI-Detected Topics

Extracted using NLP analysis

claude-ai claudecode-subagents QSR compliance claude-ai-skills FDA requirements FDA guidance claude-skills FDA regulatory compliance claude-code FDA submission regulatory HIPAA compliance FDA anthropic-claude claude-code-skills agentic-ai agentic-coding FDA cybersecurity

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