tldr

Featured

TLDR code analysis — call graphs, semantic search, impact, dataflow; ~95% token savings vs raw reads. Use for "who calls X", "what affects X", before large file reads or refactors.

Data & Documents 42 stars 3 forks Updated today MIT

Install

View on GitHub

Quality Score: 89/100

Stars 20%
54
Recency 20%
100
Frontmatter 20%
70
Documentation 15%
100
Issue Health 10%
80
License 10%
100
Description 5%
100

Skill Content

# TLDR Code Analysis Token-efficient codebase analysis behind the `tldr` MCP server. **~95% fewer tokens than reading raw files.** The engine is provisioned by cc-settings. The tool names below are the stable contract; only the engine behind them changes. Select with `CC_CODE_INTEL_ENGINE`. **Default: `native-ts`** — a zero-dependency TypeScript-compiler codemap. TS/JS only. Implements `structure`, `tree`, `extract`, `arch`, `imports`, `importers`, `calls`, `context`, `impact`, `change_impact`. Everything else returns `unsupported-by-native-engine`, which means **the analysis did not run** — fall back to `Grep`, never report it as an empty finding. **Opt-in: `CC_CODE_INTEL_ENGINE=llm-tldr`** — multi-language, plus `semantic`, `dead`, `diagnostics`, `slice`, `cfg`, `dfg`, `search`. Use it on Rust/Python/Go repos. Selecting it means re-running `setup.sh` with the variable set (see Prerequisites), not just exporting it. Two caveats, both measured 2026-07-27: > 1. **`language` does NOT auto-detect — it defaults to `python`.** On a TS repo, omitting it returns `{"status":"ok"}` with an EMPTY result rather than an error, so a wrong answer is indistinguishable from a true negative. Always pass `language` explicitly (`typescript`, `go`, `rust`, … or `all`). The MCP `impact` and `semantic` tools expose no `language` parameter at all, so they cannot be fixed this way — cross-check with `Grep`. > 2. **Upstream is archived** (`parcadei/llm-tldr`, 2026-07-13). Neither caveat will be ...

Details

Author
darkroomengineering
Repository
darkroomengineering/cc-settings
Created
7 months ago
Last Updated
today
Language
TypeScript
License
MIT

Integrates with

Bundled in these plugins

Similar Skills

Semantically similar based on skill content — not just same category