LandonSchropp Identify 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