Claude Code Plugins

Community-maintained marketplace

Feedback

meta-skill-gaps-dev

@aRustyDev/ai
0
0

Identify skill coverage gaps and improvement opportunities. Use when analyzing missing skills for a task, creating skill gap issues, evaluating skill effectiveness, or refining skill progressive disclosure.

Install Skill

1Download skill
2Enable skills in Claude

Open claude.ai/settings/capabilities and find the "Skills" section

3Upload to Claude

Click "Upload skill" and select the downloaded ZIP file

Note: Please verify skill by going through its instructions before using it.

SKILL.md

name meta-skill-gaps-dev
description Identify skill coverage gaps and improvement opportunities. Use when analyzing missing skills for a task, creating skill gap issues, evaluating skill effectiveness, or refining skill progressive disclosure.

Skill Gap Analysis & Improvement

Systematic methodology for identifying missing skills and improving existing ones.

When to Use This Skill

  • Analyzing skill coverage for a multi-domain task
  • Creating issues for missing skills
  • Evaluating whether loaded skills were effective
  • Refining skills that loaded too much/too little context
  • Identifying opportunities for derivative skills

Gap Detection

Domain Taxonomy

Map user requests to expected skill categories:

Domain Type Pattern Examples
Language lang-<lang>-<pattern>-<focus> lang-rust-library-dev, lang-zig-dev
Platform cloud-<platform>-<service>-<focus> cloud-aws-lambda-dev
Tool <category>-<tool>-<focus> iac-terraform-modules-eng
Service <service>-<focus> openmetadata-sdk-dev
Pattern meta-<pattern>-<focus> meta-library-dev, meta-sdk-patterns-eng
Method method-<method>-<focus> method-tdd-dev

Gap Detection Algorithm

1. Parse user request for domain keywords
2. For each keyword:
   a. Search local skills: components/skills/*<keyword>*
   b. Search loaded skills in current context
   c. If no match → GAP DETECTED
3. Check for compound gaps:
   - Language + Pattern (e.g., "Zig" + "library" → no lang-zig-library-dev)
   - Service + Pattern (e.g., "OpenMetadata" + "plugin" → no openmetadata-plugin-dev)

Gap Categories

Gap Type Description Priority
Complete No skill for the domain at all High
Derivative Meta-skill exists but no domain-specific derivative Medium
Compound Domain skills exist separately but not combined Medium
Depth Skill exists but lacks needed detail Low

Issue Creation Workflow

When to Create Issues

Create issue when:

  • User confirms gap should be addressed
  • Gap is "Complete" or "Derivative" type
  • Domain is general enough to benefit future tasks

Skip issue when:

  • One-off project-specific need
  • User declines
  • Very niche domain unlikely to recur

Issue Template

## Summary

Skill gap identified: No coverage for <domain>.

**Detected during:** <brief task description>
**Gap type:** <Complete | Derivative | Compound | Depth>
**User request snippet:** "<relevant quote>"

## Proposed Skill

| Field | Value |
|-------|-------|
| **Name** | `<proposed-skill-name>` |
| **Extends** | `<meta-skill if derivative>` |
| **Category** | `<lang \| cloud \| iac \| method \| ...>` |
| **Focus** | `<dev \| ops \| eng>` |

## Context

<Why this skill would be useful>

## Related Skills

- `<existing-related-skill-1>`
- `<existing-related-skill-2>`

GitHub CLI Command

gh issue create --repo aRustyDev/ai \
  --title "feat(skills): add <skill-name> skill" \
  --body "<issue-body>" \
  --label "skill-gap"

Skill Effectiveness Review

Review Triggers

Evaluate skills when:

  • Task completes successfully
  • User corrects Claude's approach
  • User provides information the skill should have covered
  • Significant context was loaded but unused

Evaluation Criteria

Criterion Question Score
Relevance Did the skill match the task? 0-3
Coverage Did it cover what was needed? 0-3
Precision Was loaded context mostly used? 0-3
Accuracy Was the information correct? 0-3

Scoring:

  • 0 = Not at all
  • 1 = Partially
  • 2 = Mostly
  • 3 = Completely

Action thresholds:

  • Total < 6: Major revision needed
  • Total 6-9: Refinement opportunities
  • Total 10-12: Skill is effective

Common Issues

Symptom Diagnosis Solution
Large unused sections Over-broad trigger Narrow description keywords
User provided missing info Coverage gap Add missing section
Wrong approach suggested Outdated content Update with correct patterns
Too generic Missing derivative Create domain-specific skill
Loaded but not helpful Trigger too broad Refine trigger phrases

Progressive Disclosure Refinement

When to Refactor

Refactor skill structure when:

  • SKILL.md exceeds 500 lines
  • Specific sections rarely used together
  • Different user personas need different depths

Refactoring Patterns

Extract to References:

Before: 800-line SKILL.md with everything inline

After:
├── SKILL.md (200 lines - overview, quick reference)
└── references/
    ├── detailed-workflow.md
    ├── api-reference.md
    └── troubleshooting.md

Split by Use Case:

Before: One skill covers dev + ops + troubleshooting

After:
├── <tool>-dev/SKILL.md     (development)
├── <tool>-ops/SKILL.md     (operations)
└── <tool>-debug/SKILL.md   (troubleshooting)

Create Derivatives:

Before: Generic skill tries to cover all languages

After:
├── meta-<pattern>-<focus>/SKILL.md     (foundational)
├── lang-rust-<pattern>-<focus>/SKILL.md  (Rust-specific)
└── lang-python-<pattern>-<focus>/SKILL.md (Python-specific)

Reference File Structure

# <Reference Title>

## When to Load This Reference

<Specific scenarios when this content is needed>

## Content

<Detailed content that doesn't need to be in main SKILL.md>

Derivative Skill Detection

When to Suggest Derivatives

Suggest derivative when:

  • Meta-skill loaded but user needs language-specific patterns
  • Multiple languages/platforms apply same pattern
  • User asks for " " combination

Derivative Gap Examples

User Request Meta-Skill Missing Derivative
"Zig library" meta-library-dev lang-zig-library-dev
"Python SDK for Stripe" meta-sdk-patterns-eng lang-python-sdk-dev
"Rust CLI tool" meta-cli-patterns-dev lang-rust-cli-dev
"Go plugin for OpenMetadata" meta-plugin-dev openmetadata-plugin-go-dev

Derivative Creation Checklist

Before creating derivative:

  • Meta-skill exists and is stable
  • Domain has enough specific content to warrant skill
  • Not a one-off need
  • User confirms value

Feedback Collection

What to Track

Data Point Purpose
Skills loaded Measure coverage
Sections referenced Identify unused content
User corrections Find accuracy issues
Missing information Find coverage gaps
Task success/failure Correlate with skill quality

Session Summary Format

## Skill Usage Summary

**Task:** <brief description>

### Skills Loaded
| Skill | Sections Used | Effectiveness |
|-------|---------------|---------------|
| `skill-1` | Overview, Quick Ref | High |
| `skill-2` | None (loaded but unused) | Low |

### Gaps Identified
- [ ] No skill for <domain-1>
- [ ] `skill-2` missing <topic> coverage

### Improvement Opportunities
- `skill-1`: Consider extracting <section> to reference
- `skill-2`: Trigger too broad, refine description

Quick Reference

Task Action
Check for gaps Search components/skills/*<keyword>*
Create gap issue gh issue create --repo aRustyDev/ai ...
Evaluate skill Score relevance, coverage, precision, accuracy
Refactor large skill Extract to references/
Create derivative Follow meta-skill-authoring-dev → Derivatives section

References

  • meta-skill-authoring-dev - How to create skills
  • rules/skill-gap-detection.md - When to invoke this skill