tldr
FeaturedTLDR code analysis — call graphs, semantic search, impact, dataflow, for far fewer tokens than reading the files raw. Triggers "who calls X", "what affects X", "blast radius", before large file reads or refactors.
Install
Quality Score: 90/100
Skill Content
Details
- Author
- darkroomengineering
- Repository
- darkroomengineering/cc-settings
- Created
- 8 months ago
- Last Updated
- yesterday
- Language
- TypeScript
- License
- MIT
Integrates with
Bundled in these plugins
Similar Skills
Semantically similar based on skill content — not just same category
doc-this-code-analyst
Second agent in doc-this Discovery pipeline (analysis). STRICTLY DESCRIPTIVE — describes code, never proposes improvements. Uses LSP for deterministic symbol inventory when available; falls back to Understand-Anything or direct reading. Per module: control flow, algorithms, data structures, metadata. Reads EVERY source file per module (markup, SQL, scripts — Total Source Coverage); token pressure checkpoints and resumes, never skips; large codebases may fan out reading to ≤3 readers under explicit consent (verified before the ledger records). Binary confidence: 🟢 (file:line) or 🔴 (gap). No 🟡. Dispatched by doc-this after Scout — never auto-triggered by user phrasing; direct '/doc-this-code-analyst' is for resume/debug. NOT for surface mapping (doc-this-scout). NOT for business-rule interpretation (doc-this-detective). NOT for cross-module synthesis (doc-this-architect).
codeindex
Answer code questions structurally instead of reading whole files. Use when you need to find where something is defined, read one function, see what calls a symbol, trace imports, judge what a change breaks, or orient yourself in an unfamiliar file or repository. Reach for this before Read, Grep or Glob on a code question — and equally before `grep`, `rg`, `cat`, `head`, `sed -n` or `find` in a shell, which is where the same question goes when a harness or permission mode routes file work through Bash. A grep finds a string; it cannot tell you what calls what. Backed by the codeindex MCP server (tree-sitter, 40+ languages).
token-doctor
Personal diagnosis of where your Claude Code + Cowork spend goes. Reads local transcripts, prints your conversation length distribution, marathon share, cache rebuild costs, and per-project diagnosis (good projects and problem projects) right in the terminal. Then offers a deeper dive that fans out parallel Haiku subagents over your most expensive (and most efficient) sessions and writes a tight Markdown report. Use when the user asks "why is my Claude spend so high", "where am I burning tokens", "diagnose my Claude habits", "audit my Claude usage", or asks for a personal token-cost diagnosis.