Refactor high-complexity React components in Dify frontend. Use when `pnpm analyze-component...
npx skills add erichowens/some_claude_skills --skill "skill-coach"
Install specific skill from multi-skill repository
# Description
Guides creation of high-quality Agent Skills with domain expertise, anti-pattern detection, and progressive disclosure best practices. Activate on keywords: create skill, review skill, skill quality, skill best practices, skill anti-patterns, improve skill, skill audit. NOT for general coding advice, slash commands, MCP development, or non-skill Claude Code features.
# SKILL.md
name: skill-coach
description: "Guides creation of high-quality Agent Skills with domain expertise, anti-pattern detection, and progressive disclosure best practices. Activate on keywords: create skill, review skill, skill quality, skill best practices, skill anti-patterns, improve skill, skill audit. NOT for general coding advice, slash commands, MCP development, or non-skill Claude Code features."
allowed-tools: Read,Write,Edit,Glob,Grep,Bash(python:*)
category: Productivity & Meta
tags:
- skills
- quality
- anti-patterns
- best-practices
- review
pairs-with:
- skill: agent-creator
reason: Quality review for new skills
- skill: automatic-stateful-prompt-improver
reason: Optimize skill prompts
Skill Coach: Creating Expert-Level Agent Skills
Encode real domain expertise, not just surface-level instructions. Focus on shibboleths - the deep knowledge that separates novices from experts.
When to Use This Skill
Use for:
- Creating new Agent Skills from scratch
- Reviewing/auditing existing skills
- Improving skill activation rates
- Adding domain expertise to skills
- Debugging why skills don't activate
NOT for:
- General Claude Code features (slash commands, MCPs)
- Non-skill coding advice
- Debugging runtime errors (use domain skills)
Quick Wins
Immediate improvements for existing skills:
1. Add NOT clause to description β Prevents false activation
2. Add 1-2 anti-patterns β Prevents common mistakes
3. Check line count (run validator) β Should be fewer than 500 lines
4. Remove dead files β Delete unreferenced scripts/references
5. Test activation β Questions that should/shouldn't trigger it
What Makes a Great Skill
Great skills are progressive disclosure machines that:
1. Activate precisely - Specific keywords + NOT clause
2. Encode shibboleths - Expert knowledge that separates novice from expert
3. Surface anti-patterns - "If you see X, that's wrong because Y, use Z"
4. Capture temporal knowledge - "Pre-2024: X. 2024+: Y"
5. Know their limits - "Use for A, B, C. NOT for D, E, F"
6. Provide decision trees - Not templates, but "If X then A, if Y then B"
7. Stay under 500 lines - Core in SKILL.md, deep dives in /references
Core Principles
Progressive Disclosure
- Phase 1 (~100 tokens): Metadata - "Should I activate?"
- Phase 2 (<5k tokens): SKILL.md - "How do I do this?"
- Phase 3 (as needed): References - "Show me the details"
Critical: Keep SKILL.md under 500 lines. Split details into /references.
Description Formula
[What] [Use for] [Keywords] NOT for [Exclusions]
β Bad: "Helps with images"
β οΈ Better: "Image processing with CLIP"
β
Good: "CLIP semantic search. Use for image-text matching.
Activate on 'CLIP', 'embeddings'. NOT for counting, spatial reasoning."
SKILL.md Template
---
name: your-skill-name
description: [What] [When] [Triggers]. NOT for [Exclusions].
allowed-tools: Read,Write # Minimal only
---
# Skill Name
[One sentence purpose]
## When to Use
β
Use for: [A, B, C]
β NOT for: [D, E, F]
## Core Instructions
[Step-by-step, decision trees, not templates]
## Common Anti-Patterns
### [Pattern]
**Symptom**: [Recognition]
**Problem**: [Why wrong]
**Solution**: [Better approach]
Frontmatter Rules (CRITICAL)
Only these frontmatter keys are allowed by Claude's skill marketplace:
| Key | Required | Purpose |
|---|---|---|
name |
β | Lowercase-hyphenated identifier |
description |
β | Activation keywords + NOT clause |
allowed-tools |
β οΈ | Comma-separated tool names |
license |
β | e.g., "MIT" |
metadata |
β | Custom key-value pairs |
Invalid keys that will FAIL upload:
# β WRONG - These will break skill upload
integrates_with:
- orchestrator
triggers:
- "activate on this"
tools: Read,Write
outputs: formatted text
coordinates_with: other-skill
python_dependencies:
- numpy
Move custom info to the body:
## Integrations
Works with: orchestrator, team-builder
## Activation Triggers
Responds to: "create skill", "review skill", "skill quality"
Validation command:
# Find invalid frontmatter keys
for skill in .claude/skills/*/SKILL.md; do
sed -n '/^---$/,/^---$/p' "$skill" | grep -E "^[a-zA-Z_-]+:" | cut -d: -f1 | \
grep -vE "^(name|description|license|allowed-tools|metadata)$" && \
echo " ^ in $(basename $(dirname $skill))"
done
Skill Structure
Mandatory:
your-skill/
βββ SKILL.md # Core instructions (max 500 lines)
Strongly Recommended (self-contained skills):
βββ scripts/ # Working code - NOT templates
βββ mcp-server/ # Custom MCP if external APIs needed
βββ agents/ # Subagent definitions if orchestration needed
βββ references/ # Deep dives on domain knowledge
βββ CHANGELOG.md # Version history
Self-Contained Skills (RECOMMENDED)
Skills with working tools are immediately useful. See references/self-contained-tools.md for full patterns.
Quick decision: External APIs? β MCP. Multi-step workflow? β Subagents. Repeatable operations? β Scripts.
Decision Trees
When to create a NEW skill?
- β
Domain expertise not in existing skills
- β
Pattern repeats across 3+ projects
- β
Anti-patterns you want to prevent
- β One-time task β Just do it directly
- β Existing skill could be extended β Improve that one
Skill vs Subagent vs MCP?
- Skill: Domain expertise, decision trees (no runtime state)
- Subagent: Multi-step workflows needing tool orchestration
- MCP: External APIs, auth, stateful connections
Skill Creation Process (6 Steps)
Follow these steps in order when creating a new skill:
Step 1: Understand with Concrete Examples
Skip only if usage patterns are already clear. Ask:
- "What functionality should this skill support?"
- "Can you give examples of how it would be used?"
- "What would a user say that should trigger this skill?"
Step 2: Plan Reusable Contents
For each example, analyze:
1. How to execute from scratch
2. What scripts, references, assets would help with repeated execution
Example analyses:
- pdf-editor for "rotate this PDF" β Needs scripts/rotate_pdf.py
- frontend-webapp-builder β Needs assets/hello-world/ template
- big-query skill β Needs references/schema.md for table schemas
Step 3: Initialize the Skill
Create the skill directory structure:
your-skill/
βββ SKILL.md # Core instructions (max 500 lines)
βββ scripts/ # Working code - NOT templates
βββ references/ # Deep dives on domain knowledge
βββ assets/ # Files used in output (templates, icons)
Step 4: Write SKILL.md
- Write in imperative/infinitive form ("To accomplish X, do Y")
- Answer: Purpose? When to use? How to use bundled resources?
- Reference all scripts/references so Claude knows they exist
Step 5: Validate and Package
# Validate skill structure and content
python scripts/validate_skill.py <path>
# Check for self-contained tool completeness
python scripts/check_self_contained.py <path>
Step 6: Iterate
After real-world use:
1. Notice struggles or inefficiencies
2. Identify how SKILL.md or bundled resources should be updated
3. Implement changes and test again
Common Workflows
Create Skill from Expertise:
1. Define scope: What expertise? What keywords? What NOT to handle?
2. Write description with keywords and NOT clause
3. Add anti-patterns you've observed
4. Test activation thoroughly
Debug Activation Issues (flowchart):
Skill not activating when expected?
βββ Check description has specific keywords
β βββ NO β Add "Activate on: keyword1, keyword2"
β βββ YES β Check if query contains those keywords
β βββ NO β Add missing keyword variations
β βββ YES β Check for conflicting NOT clause
β βββ YES β Narrow exclusion scope
β βββ NO β Check file structure
β βββ SKILL.md missing β Create it
β βββ Wrong location β Move to .claude/skills/
Skill activating when it shouldn't?
βββ Missing NOT clause?
β βββ YES β Add "NOT for: exclusion1, exclusion2"
β βββ NO β NOT clause too narrow
β βββ Expand exclusions based on false positive queries
Run python scripts/test_activation.py <path> to validate
Recursive Self-Improvement (use this skill to improve skills):
1. Run python scripts/validate_skill.py <path> β Get validation report
2. Run python scripts/check_self_contained.py <path> β Check tool completeness
3. Address ERRORS first, then WARNINGS, then SUGGESTIONS
4. Re-run validation until clean
5. Update CHANGELOG.md with improvements made
Tool Permissions
Guidelines:
- Read-only skill: Read,Grep,Glob
- File modifier: Read,Write,Edit
- Build integration: Read,Write,Bash(npm:*,git:*)
- β οΈ Never: Unrestricted Bash for untrusted skills
Success Metrics
| Metric | Target |
|---|---|
| Correct activation | >90% |
| False positive rate | <5% |
| Token usage | <5k typical |
Reference Files
| File | Contents |
|---|---|
references/antipatterns.md |
Domain shibboleths and anti-pattern catalog with case studies |
references/shibboleths.md |
Expert vs novice knowledge patterns |
references/validation-checklist.md |
Complete review and testing guide |
references/self-contained-tools.md |
Scripts, MCP servers, and subagent implementation patterns |
references/scoring-rubric.md |
Quantitative skill evaluation (0-10 scoring) |
references/skill-composition.md |
Cross-skill dependencies and composition patterns |
references/skill-lifecycle.md |
Maintenance, versioning, and deprecation guidance |
references/mcp_vs_scripts.md |
Architectural decision guide: Skills vs Agents vs MCPs vs Scripts |
This skill guides: Skill creation | Skill auditing | Anti-pattern detection | Progressive disclosure | Domain expertise encoding
# Supported AI Coding Agents
This skill is compatible with the SKILL.md standard and works with all major AI coding agents:
Learn more about the SKILL.md standard and how to use these skills with your preferred AI coding agent.