yvgude/lean-ctx/templates
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Use LeanCTX Context Gateway tools to select task-relevant code context, apply supported controls, reuse local knowledge and inspect recorded evidence. Use when lean-ctx MCP tools (ctx_*) are available or file, search or command output needs a focused view.
Install
npx vskill@latest install yvgude/lean-ctx/templatesSKILL.md
LeanCTX — Context Gateway for AI Systems
Control what your AI can see. LeanCTX Engine provides local context selection, supported access and content controls, and evidence of observed context operations for existing agents: Select → Control → Learn → Prove. Learn means local task and knowledge continuity, not model training. Recovery depends on source or archive availability and access permissions. LeanCTX SDK is the separate integration surface for applications.
lean-ctx shapes context before it reaches you: cached reads, compressed shell output, focused search, recovery to exact source. Two rules beat every detail:
- Fewer round trips beat smaller outputs. One call that answers the
question is cheaper than three small ones. Never add a call just to save a few hundred tokens.
- Never wait by polling. Do not loop
sleep+ status checks (see below).
Intent → tool
| You want to… | Call | |||
|---|---|---|---|---|
| Understand how something works (unknown location) | ctx_compose(task) — ranked files + source in one call; use it FIRST instead of search→read→read | |||
| Find the exact definition of a symbol | ctx_search(action="symbol", name=…) | |||
| Find code by meaning | ctx_search(action="semantic", query=…) | |||
| Find a text/regex pattern | ctx_search(pattern=…, path=…) | |||
| Who calls X / what calls X makes | `ctx_callgraph(action="callers" | "callees", symbol=…)` | ||
| Read a file you will edit | ctx_read(path, mode="anchored") → edit with the host's native edit tool, or ctx_call(name="ctx_patch", arguments={…}) | |||
| Read a file only for context | `ctx_read(path, mode="signatures" | "map"); a range: mode="lines:N-M"` | ||
| Re-check a file after editing | ctx_read(path, mode="diff") | |||
| Run a command (build, test, git, …) | ctx_shell(command) — output is compressed | |||
| List files / directory shape | ctx_glob(pattern) / ctx_tree(path, depth) | |||
| Remember across sessions | `ctx_session(action="finding" | "decision" | "task", value=…); durable project facts: ctx_call(name="ctx_knowledge", arguments={"action": "remember", …})` |
Do not read or search through ctx_shell (cat, sed -n, grep, rg): that bypasses the read cache and symbol index. Use ctx_read / ctx_search.
Deferred tools (ToolSearch)
If the host lists lean-ctx tools by name only (Claude Code's ToolSearch), load what the task needs in one call, e.g. select:mcp__lean-ctx__ctx_compose,mcp__lean-ctx__ctx_search,mcp__lean-ctx__ctx_read. Do not fall back to ctx_shell for everything because it happens to be loaded. A tool named here that your tool list lacks (the default profile shows a small core) is still callable: ctx_call(name="ctx_knowledge", arguments={…}). ctx_call(name="ctx_discover_tools", arguments={"query": "…"}) lists all of them.
Long-running commands
- Prefer the host's own background execution that notifies on completion
(Claude Code: Bash with run_in_background, or Monitor). Start it, then continue other work or end the turn — you will be told when it finishes.
ctx_shell(run_in_background=true)jobs do not notify by themselves. Check
a job at most once when you actually need its result; never sleep in a loop.
Truncated output
Compressed or archived output ends with a recovery handle. Fetch only the slice you need: ctx_expand(id, search=… | head=N | json_path=…), or ctx_read(path, raw=true) for exact bytes. Do not re-run the command.
Without MCP (CLI)
Setup
Docs: https://leanctx.com/docs
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Works with
Any agent vskill installs to: 56 targets in all. These 39 have a page on this site.
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- Mentat
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- bolt.new
- v0
- Replit Agent
- Anse
- TypingMind
- BetterChatGPT
- LibreChat
- Warp AI
- Pieces
- Fig AI
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