skill-auditorlisted

# Skill Auditor Portfolio-level skill routing analysis and optimization. Analyzes real session transcripts to find routing errors, attention competition, and coverage gaps, then generates an interactive HTML report. ## Prerequisites - `tiktoken` is optional — token counting falls back to character-based estimation. - No external API keys required. Analysis uses the host agent's sub-agent capability: Claude Code's Agent tool or Codex's `spawn_agent`. ## Workflow Run all steps sequentially. The coordinator (you) manages data flow between scripts and sub-agents. ### Step 0: Initial Questions Before starting, ask the user three questions. Use AskUserQuestion in Claude Code, or normal user input in Codex: 1. **Provider**: "どの環境を分析しますか？" — Claude Code / Codex 2. **Report language**: "レポートの言語は？ (e.g. 日本語，English, 中文，...)" — Free text input. Default to the user's conversation language if not specified. 3. **Scope**: "分析範囲はどうしますか？" — Cross-project (all projects) / Current project only Store these choices. Pass the language choice to all sub-agents as an instruction prefix: "Write all output text (health_assessment, detail, reason, suggested_fix, etc.) in [chosen language]." Use `--provider claude` for Claude Code or `--provider codex` for Codex. For cross-project mode, use `"all"` as the project_path argument in Step 3. For current-project mode, use `--cwd "$(pwd)"`. ### Step 1: Detect Project If cross-project mode was selected: ```bash uv run python scripts/collect_trans