From claude-mem
Performs token-optimized structural code search using tree-sitter AST parsing to discover files, functions, and structures efficiently without reading full files.
npx claudepluginhub thedotmack/claude-mem --plugin claude-memThis skill uses the workspace's default tool permissions.
Structural code exploration using AST parsing. **This skill overrides your default exploration behavior.** While this skill is active, use smart_search/smart_outline/smart_unfold as your primary tools instead of Read, Grep, and Glob.
Navigates codebases via AST parsing: smart_outline for file structures, smart_search for cross-file symbols, smart_unfold for function extraction. 10-20x fewer tokens than full file reads.
Uses tree-sitter index for code navigation in Rust, Python, TypeScript, JavaScript, Go, Java, Scala, SQL: finds symbols, reads function implementations, traces callers, discovers tests.
Share bugs, ideas, or general feedback.
Structural code exploration using AST parsing. This skill overrides your default exploration behavior. While this skill is active, use smart_search/smart_outline/smart_unfold as your primary tools instead of Read, Grep, and Glob.
Core principle: Index first, fetch on demand. Give yourself a map of the code before loading implementation details. The question before every file read should be: "do I need to see all of this, or can I get a structural overview first?" The answer is almost always: get the map.
This skill only loads instructions. You must call the MCP tools yourself. Your next action should be one of:
smart_search(query="<topic>", path="./src") -- discover files + symbols across a directory
smart_outline(file_path="<file>") -- structural skeleton of one file
smart_unfold(file_path="<file>", symbol_name="<name>") -- full source of one symbol
Do NOT run Grep, Glob, Read, or find to discover files first. smart_search walks directories, parses all code files, and returns ranked symbols in one call. It replaces the Glob → Grep → Read discovery cycle.
smart_search(query="shutdown", path="./src", max_results=15)
Returns: Ranked symbols with signatures, line numbers, match reasons, plus folded file views (~2-6k tokens)
-- Matching Symbols --
function performGracefulShutdown (services/infrastructure/GracefulShutdown.ts:56)
function httpShutdown (services/infrastructure/HealthMonitor.ts:92)
method WorkerService.shutdown (services/worker-service.ts:846)
-- Folded File Views --
services/infrastructure/GracefulShutdown.ts (7 symbols)
services/worker-service.ts (12 symbols)
This is your discovery tool. It finds relevant files AND shows their structure. No Glob/find pre-scan needed.
Parameters:
query (string, required) -- What to search for (function name, concept, class name)path (string) -- Root directory to search (defaults to cwd)max_results (number) -- Max matching symbols, default 20, max 50file_pattern (string, optional) -- Filter to specific files/pathssmart_outline(file_path="services/worker-service.ts")
Returns: Complete structural skeleton -- all functions, classes, methods, properties, imports (~1-2k tokens per file)
Skip this step when Step 1's folded file views already provide enough structure. Most useful for files not covered by the search results.
Parameters:
file_path (string, required) -- Path to the fileReview symbols from Steps 1-2. Pick the ones you need. Unfold only those:
smart_unfold(file_path="services/worker-service.ts", symbol_name="shutdown")
Returns: Full source code of the specified symbol including JSDoc, decorators, and complete implementation (~400-2,100 tokens depending on symbol size). AST node boundaries guarantee completeness regardless of symbol size — unlike Read + agent summarization, which may truncate long methods.
Parameters:
file_path (string, required) -- Path to the file (as returned by search/outline)symbol_name (string, required) -- Name of the function/class/method to expandUse these only when smart_* tools are the wrong fit:
ensureWorkerStarted defined?")For code files over ~100 lines, prefer smart_outline + smart_unfold over Read.
Discover how a feature works (cross-cutting):
1. smart_search(query="shutdown", path="./src")
-> 14 symbols across 7 files, full picture in one call
2. smart_unfold(file_path="services/infrastructure/GracefulShutdown.ts", symbol_name="performGracefulShutdown")
-> See the core implementation
Navigate a large file:
1. smart_outline(file_path="services/worker-service.ts")
-> 1,466 tokens: 12 functions, WorkerService class with 24 members
2. smart_unfold(file_path="services/worker-service.ts", symbol_name="startSessionProcessor")
-> 1,610 tokens: the specific method you need
Total: ~3,076 tokens vs ~12,000 to Read the full file
Write documentation about code (hybrid workflow):
1. smart_search(query="feature name", path="./src") -- discover all relevant files and symbols
2. smart_outline on key files -- understand structure
3. smart_unfold on important functions -- get implementation details
4. Read on small config/markdown/plan files -- get non-code context
Use smart_* tools for code exploration, Read for non-code files. Mix freely.
Exploration then precision:
1. smart_search(query="session", path="./src", max_results=10)
-> 10 ranked symbols: SessionMetadata, SessionQueueProcessor, SessionSummary...
2. Pick the relevant one, unfold it
| Approach | Tokens | Use Case |
|---|---|---|
| smart_outline | ~1,000-2,000 | "What's in this file?" |
| smart_unfold | ~400-2,100 | "Show me this function" |
| smart_search | ~2,000-6,000 | "Find all X across the codebase" |
| search + unfold | ~3,000-8,000 | End-to-end: find and read (the primary workflow) |
| Read (full file) | ~12,000+ | When you truly need everything |
| Explore agent | ~39,000-59,000 | Cross-file synthesis with narrative |
4-8x savings on file understanding (outline + unfold vs Read). 11-18x savings on codebase exploration vs Explore agent. The narrower the query, the wider the gap — a 27-line function costs 55x less to read via unfold than via an Explore agent, because the agent still reads the entire file.
Smart-explore uses tree-sitter AST parsing for structural analysis. Unsupported file types fall back to text-based search.
| Language | Extensions |
|---|---|
| JavaScript | .js, .mjs, .cjs |
| TypeScript | .ts |
| TSX / JSX | .tsx, .jsx |
| Python | .py, .pyw |
| Go | .go |
| Rust | .rs |
| Ruby | .rb |
| Java | .java |
| C | .c, .h |
| C++ | .cpp, .cc, .cxx, .hpp, .hh |
Files with unrecognized extensions are parsed as plain text — smart_search still works (grep-style), but smart_outline and smart_unfold will not extract structured symbols.
.claude-mem.json)You can register additional tree-sitter grammars for file types not in the bundled list. Create or update .claude-mem.json in your project root:
{
"grammars": {
".sol": "tree-sitter-solidity",
".graphql": "tree-sitter-graphql"
}
}
Each key is a file extension; each value is the npm package name of the tree-sitter grammar. The grammar must be installed locally (npm install tree-sitter-solidity). Once registered, smart_outline and smart_unfold will parse those extensions structurally instead of falling back to plain text.
Markdown files (.md, .mdx) receive special handling beyond the generic plain-text fallback:
smart_outline — extracts headings (#, ##, ###) as the symbol tree. Use it to navigate long documents without reading the full file.smart_search — searches within code fences as well as prose, so queries for function names inside ```ts ``` blocks work as expected.smart_unfold — expands heading sections rather than function bodies; each section up to the next same-level heading is returned as a chunk.--- delimiters) is included in smart_outline output under a synthetic frontmatter symbol so metadata like title: and description: is visible without reading the whole file.