identify-skill-gapslisted

# 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: ```bash 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](references/wastes.md). 1. **Apply each lens** to identify waste patterns 2. **Look for repetition across conversations** - the same waste appearing multiple times signals high-value skill opportunities 3. **Quantify the waste** - count how many messages/characters users spend on each pattern 4. **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 Li