Refactor high-complexity React components in Dify frontend. Use when `pnpm analyze-component...
npx skills add LandonSchropp/agent-toolkit --skill "identifying-skill-gaps"
Install specific skill from multi-skill repository
# Description
Use when analyzing Claude Code conversation logs to find patterns in repeated user instructions that could become skills. Ask for date range first.
# SKILL.md
name: identifying-skill-gaps
description: Use when analyzing Claude Code conversation logs to find patterns in repeated user instructions that could become skills. Ask for date range first.
Identifying Skill Gaps
Analyze Claude Code conversation logs to identify areas where the user repeatedly gives similar instructions that could be turned into skills.
Step 1: Ask for Date Range
FIRST: Ask the user what date range they want to analyze.
Example: "What date range would you like me to analyze? (e.g., December 1-15, 2024)"
Step 2: Extract User Messages
Claude Code stores conversation logs in ~/.claude/projects/ as JSONL files.
NEVER assume logs aren't accessible. They ARE stored locally.
Run the extraction script with the date range:
scripts/extract-user-messages.ts --after YYYY-MM-DD
This filters out tool calls, assistant responses, and metadata—keeping only what the user said.
Step 3: Analyze for Patterns
Analyze the output and apply the waste analysis framework from references/wastes.md.
- Apply each lens to identify waste patterns
- Look for repetition across conversations - the same waste appearing multiple times signals high-value skill opportunities
- Quantify the waste - count how many messages/characters users spend on each pattern
- Prioritize by frequency and cost - repeated, lengthy wastes are the best skill candidates
What counts as a pattern: The user giving similar instructions in 3+ separate conversations.
Focus on identifying waste where users repeatedly spend conversation time on things that could be eliminated by a skill.
Step 4: Output Prioritized List
Create a markdown list with:
## Potential Skills
### 1. [Skill Name] - HIGH PRIORITY
**Frequency**: Found in [X] conversations
**Rationale**: [Why this would be useful]
**Example instructions**:
- "[Quote from conversation]"
- "[Another quote]"
### 2. [Skill Name] - MEDIUM PRIORITY
...
Priority levels:
- HIGH: 5+ occurrences, affects workflow significantly
- MEDIUM: 3-4 occurrences, clear pattern
- LOW: 2 occurrences, worth noting
# 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.