lean-ctx
关于
LeanCTX is a context runtime that compresses LLM context by up to 99% using 58 MCP tools, 95+ shell patterns, and tree-sitter AST parsing for 18 languages. It's designed for reading files, running shell commands, searching code, and exploring directories within AI agents. The skill auto-installs if not present and provides adaptive file reading with cross-session memory.
快速安装
Claude Code
推荐npx skills add yvgude/lean-ctx -a claude-code/plugin add https://github.com/yvgude/lean-ctxgit clone https://github.com/yvgude/lean-ctx.git ~/.claude/skills/lean-ctx在 Claude Code 中复制并粘贴此命令以安装该技能
技能文档
LeanCTX — Context Runtime for AI Agents
LeanCTX optimizes LLM context through 58 MCP tools, 95+ shell compression patterns, and tree-sitter AST parsing for 18 languages. It provides adaptive file reading, cross-session memory (CCP), task-conditioned relevance scoring, and a feedback loop for learning optimal compression.
Setup (run first)
Before using lean-ctx, verify it is installed:
which lean-ctx || bash scripts/install.sh
If the install script is not available locally, install manually:
curl -fsSL https://raw.githubusercontent.com/yvgude/lean-ctx/main/skills/lean-ctx/scripts/install.sh | bash
After installation, run the one-command setup (installs shell hook + editor wiring + rules + skills):
lean-ctx setup
lean-ctx supports two integration styles:
- CLI-redirect (preferred when shell access exists): no MCP tool schema overhead.
- MCP (required for some IDE extensions): cached reads + tools via MCP.
When to use lean-ctx
Always prefer lean-ctx -c <command> over running commands directly when:
- The command produces verbose output (build logs, git diffs, dependency trees, test results)
- You are reading files and only need the structure or API surface
- You want to check token savings for the current session
Shell commands (use instead of raw exec)
lean-ctx -c git status # Compressed git output
lean-ctx -c git diff # Only meaningful diff lines
lean-ctx -c git log --oneline -10
lean-ctx -c npm install # Strips progress bars, noise
lean-ctx -c cargo build
lean-ctx -c cargo test
lean-ctx -c docker ps
lean-ctx -c kubectl get pods
lean-ctx -c aws ec2 describe-instances
lean-ctx -c helm list
lean-ctx -c prisma migrate dev
lean-ctx -c curl -s <url> # JSON schema extraction
lean-ctx -c ls -la <dir> # Grouped directory listing
Supported: git, npm, pnpm, yarn, bun, deno, cargo, docker, kubectl, helm, gh, pip, ruff, go, eslint, prettier, tsc, aws, psql, mysql, prisma, swift, zig, cmake, ansible, composer, mix, bazel, systemd, terraform, make, maven, dotnet, flutter, poetry, rubocop, playwright, curl, wget, and more.
File reading (compressed modes)
lean-ctx read <file> # Full content with structured header
lean-ctx read <file> -m map # Dependency graph + exports + API (~5-15% tokens)
lean-ctx read <file> -m signatures # Function/class signatures only (~10-20% tokens)
lean-ctx read <file> -m aggressive # Syntax-stripped (~30-50% tokens)
lean-ctx read <file> -m entropy # Shannon entropy filtered (~20-40% tokens)
lean-ctx read <file> -m diff # Only changed lines since last read
Use map mode when you need to understand what a file does without reading every line.
Use signatures mode when you need the API surface of a module (tree-sitter for 18 languages).
Use full mode only when you will edit the file.
AI Tool Integration
lean-ctx init --global # Install shell aliases
lean-ctx init --agent cursor --mode cli-redirect # CLI-first (no MCP schema overhead)
lean-ctx init --agent claude --mode cli-redirect # CLI-first (Claude Code)
lean-ctx init --agent codex --mode cli-redirect # CLI-first (Codex)
lean-ctx init --agent opencode --mode cli-redirect # CLI-first (OpenCode)
lean-ctx init --agent copilot # MCP (VS Code / Copilot)
lean-ctx init --agent jetbrains # MCP (JetBrains)
lean-ctx init --agent windsurf # MCP/Hybrid (Windsurf)
Multi-Agent & Knowledge (v2.7.0+)
CLI (works in CLI-redirect and MCP setups):
lean-ctx knowledge remember "value" --category <c> --key <k>
lean-ctx knowledge recall "query"
lean-ctx knowledge search "query"
lean-ctx knowledge export [--format json|jsonl|simple] [--output <path>]
lean-ctx knowledge import <path> [--merge replace|append|skip-existing] [--dry-run]
lean-ctx knowledge remove --category <c> --key <k>
lean-ctx session task "what you're doing"
lean-ctx session finding "what you found"
lean-ctx session decision "what you decided"
lean-ctx session save
If MCP is enabled for your IDE, the same capabilities are also available as MCP tools
(ctx_knowledge, ctx_session, ctx_agent, ...).
Additional Intelligence Tools (v2.19.0)
ctx_edit(path, old_string, new_string)— search-and-replace file editing without native Read/Editctx_overview(task)— task-relevant project map at session startctx_preload(task)— proactive context loader, caches task-relevant filesctx_semantic_search(query)— BM25 code search by meaning across the projectctx_intentnow supports multi-intent detection and complexity classification- Semantic cache: TF-IDF + cosine similarity for finding similar files across reads
Session Continuity (CCP)
lean-ctx sessions list # List all CCP sessions
lean-ctx sessions show # Show latest session state
lean-ctx wrapped # Weekly savings report card
lean-ctx wrapped --month # Monthly savings report card
lean-ctx benchmark run # Real project benchmark (terminal output)
lean-ctx benchmark run --json # Machine-readable JSON output
lean-ctx benchmark report # Shareable Markdown report
MCP tools for CCP:
ctx_session status— show current session state (~400 tokens)ctx_session load— restore previous session (cross-chat memory)ctx_session task "description"— set current taskctx_session finding "file:line — summary"— record key findingctx_session decision "summary"— record architectural decisionctx_session save— force persist session to diskctx_session role— list/switch agent roles (governance)ctx_session budget— show budget status vs role limitsctx_session slo— show SLO status/violations (value=reload|history|clear)ctx_session diff— compare two sessions (value="<id_a> <id_b> [json]")ctx_session verify— show output verification statisticsctx_session episodes— episodic memory (value=record | "search <q>" | "file <path>" | "outcome <label>")ctx_session procedures— procedural memory (value=detect | "suggest <task>")ctx_intent— intent classification + model routing (returns dimension/tier/reasoning)ctx_graph build— index code into unified graphctx_graph related— find connected files via graphctx_graph symbol— lookup symbol definitions/usagesctx_graph impact— blast radius analysisctx_graph enrich— add commits, tests, knowledge to graphctx_graph context— task-based graph query for relevant contextctx_wrapped— generate savings report card in chat
Analytics
lean-ctx gain # Visual token savings dashboard
lean-ctx dashboard # Web dashboard at localhost:3333
lean-ctx session # Adoption statistics
lean-ctx discover # Find uncompressed commands in shell history
Tips
- The output suffix
[lean-ctx: 5029→197 tok, -96%]shows original vs compressed token count - For large outputs, lean-ctx automatically truncates while preserving relevant context
- JSON responses from curl/wget are reduced to schema outlines
- Build errors are grouped by type with counts
- Test results show only failures with summary counts
- Cached re-reads cost only ~13 tokens
GitHub 仓库
相关推荐技能
qmd
开发这是一个本地搜索和索引的CLI工具,支持BM25、向量搜索和重排序功能。开发者可以用它快速索引本地文件(如Markdown文档)并进行混合搜索,特别适合代码库或文档的本地检索。它还提供MCP模式,能轻松集成到Claude开发环境中使用。
subagent-driven-development
开发该Skill用于在当前会话中执行包含独立任务的实施计划,它会为每个任务分派一个全新的子代理并在任务间进行代码审查。这种"全新子代理+任务间审查"的模式既能保障代码质量,又能实现快速迭代。适合需要在当前会话中连续执行独立任务,并希望在每个任务后都有质量把关的开发场景。
mcporter
开发mcporter Skill 让开发者能在Claude中直接管理和调用MCP服务器。它支持列出可用服务器、调用工具、处理OAuth认证以及管理服务器守护进程。开发者可以通过命令行式交互快速执行`mcporter list`查看服务器,或使用`mcporter call`直接调用工具,简化了MCP工作流程。
adk-deployment-specialist
开发这是一个用于部署和编排Google Vertex AI ADK智能体的Claude Skill,专为构建生产级多智能体系统而设计。它支持通过A2A协议进行智能体通信,提供代码执行沙箱和记忆库功能,并能处理智能体发现与任务提交。当开发者需要部署ADK智能体或编排多智能体协作时,可使用此Skill来简化Vertex AI Agent Engine的部署流程。
