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Smart Explore

  • 5.8k installs
  • 89.6k repo stars
  • Updated August 4, 2026
  • thedotmack/claude-mem

smart-explore is an agent skill that uses tree-sitter AST parsing via smart_search, smart_outline, and smart_unfold for token-optimized structural code exploration.

About

The smart-explore skill overrides default agent exploration with a three-layer tree-sitter workflow: smart_search ranks symbols across directories, smart_outline returns structural skeletons, and smart_unfold fetches complete symbol source on demand. While active, agents should prefer these MCP tools over Read, Grep, and Glob for code files above roughly one hundred lines. The core principle is index first, fetch on demand: map structure before loading implementation details. smart_search walks directories, parses code files, and returns ranked symbols with folded file views in one call, replacing the Glob to Grep to Read discovery cycle. smart_outline exposes functions, classes, methods, imports, and properties per file. smart_unfold returns full symbol bodies with guaranteed AST node boundaries. Documented token economics show four to eight times savings on file understanding and eleven to eighteen times versus Explore agents. Bundled tree-sitter grammars cover JavaScript, TypeScript, Python, Go, Rust, Ruby, Java, and C-family languages, with custom grammar registration via .claude-mem.json.

  • Three-layer smart_search, smart_outline, and smart_unfold AST workflow replaces Glob-Grep-Read discovery.
  • Index-first token economics deliver 4-8x savings on file reads and 11-18x vs Explore agents.
  • tree-sitter parsing for JS, TS, Python, Go, Rust, Ruby, Java, and C/C++ with custom grammar config.
  • smart_unfold returns complete symbol source with AST boundaries, avoiding truncated Read summaries.
  • Markdown support outlines headings, searches code fences, and expands section chunks.

Smart Explore by the numbers

  • 5,794 all-time installs (skills.sh)
  • +235 installs in the week ending Aug 5, 2026 (Skillselion tracking)
  • Ranked #133 of 16,546 AI & Agent Building skills by installs in the Skillselion catalog
  • Security screen: LOW risk (skills.sh audit)
  • Data as of Aug 5, 2026 (Skillselion catalog sync)
At a glance

smart-explore capabilities & compatibility

Capabilities
directory wide ranked symbol search with folded · per file structural skeleton via smart_outline · on demand full symbol source via smart_unfold · custom tree sitter grammar registration through · markdown heading outline and code fence search s
Use cases
token optimization · debugging · research
Runs
Runs locally
Pricing
Free
From the docs

What smart-explore says it does

Token-optimized structural code search using tree-sitter AST parsing.
SKILL.md
This skill overrides your default exploration behavior.
SKILL.md
Index first, fetch on demand.
SKILL.md
npx skills add https://github.com/thedotmack/claude-mem --skill smart-explore

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Listed on Skillselion
Installs5.8k
repo stars89.6k
Security audit3 / 3 scanners passed
Last updatedAugust 4, 2026
Repositorythedotmack/claude-mem

How do agents find functions and read code structure without loading entire large files or burning tokens on Explore agents?

Token-optimized structural code search via tree-sitter AST when exploring codebases without reading full files.

Who is it for?

Agents navigating large codebases who need to locate symbols and read targeted implementations efficiently.

Skip if: Skip when you need exact regex grep, small config files, or cross-file architecture narratives across many files.

When should I use this skill?

User needs structural code search, function discovery, or efficient codebase exploration instead of reading full files.

What you get

Ranked symbol discovery, structural file skeletons, and on-demand symbol source with documented 4-8x token savings over full file reads.

  • AST code outline
  • targeted symbol unfold results

Files

SKILL.mdMarkdownGitHub ↗

Smart Explore

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.

Your Next Tool Call

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.

3-Layer Workflow

Step 1: Search -- Discover Files and Symbols

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 50
  • file_pattern (string, optional) -- Filter to specific files/paths

Step 2: Outline -- Get File Structure

smart_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 file

Step 3: Unfold -- See Implementation

Review 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 expand

When to Use Standard Tools Instead

Use these only when smart_* tools are the wrong fit:

  • Grep: Exact string/regex search ("find all TODO comments", "where is ensureWorkerStarted defined?")
  • Read: Small files under ~100 lines, non-code files (JSON, markdown, config)
  • Glob: File path patterns ("find all test files")
  • Explore agent: When you need synthesized understanding across 6+ files, architecture narratives, or answers to open-ended questions like "how does this entire system work end-to-end?" Smart-explore is a scalpel — it answers "where is this?" and "show me that." It doesn't synthesize cross-file data flows, design decisions, or edge cases across an entire feature.

For code files over ~100 lines, prefer smart_outline + smart_unfold over Read.

Workflow Examples

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

Token Economics

ApproachTokensUse 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~3,000-8,000End-to-end: find and read (the primary workflow)
Read (full file)~12,000+When you truly need everything
Explore agent~39,000-59,000Cross-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.

Language Support

Smart-explore uses tree-sitter AST parsing for structural analysis. Unsupported file types fall back to text-based search.

Bundled Languages

LanguageExtensions
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.

Custom Grammars (.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": {
    "solidity": {
      "package": "tree-sitter-solidity",
      "extensions": [".sol"],
      "query": "solidity-query.scm"
    }
  }
}

Each key is a language name. package is the npm package of the tree-sitter grammar and extensions lists the file extensions it covers; the package must be installed in the project's node_modules (npm install tree-sitter-solidity). query (optional) is a path, relative to the config file, to a tree-sitter query whose captures (@func, @cls, @method, @iface, @enm, @struct_def, @imp) extract symbols. Without query, a minimal generic pattern is used — it only matches grammars that define function_declaration/class_declaration node types, and query compilation fails silently (0 symbols) for grammars that lack them, so a custom query is effectively required for most languages. Once registered, smart_outline and smart_unfold parse those extensions structurally instead of falling back to plain text.

Markdown Special Support

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.
  • Frontmatter — YAML frontmatter (lines between leading --- 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.

Related skills

How it compares

Use smart-explore for token-efficient AST code navigation; use file-organizer when the task is filesystem cleanup rather than source code structure.

FAQ

What tools does smart-explore replace?

While active, use smart_search, smart_outline, and smart_unfold instead of Read, Grep, and Glob for code discovery and structural reads.

When should I use smart_unfold instead of Read?

After search or outline identifies a symbol, unfold returns the complete function or method body with AST boundaries, typically far fewer tokens than a full file read.

Which languages get structural AST parsing?

Bundled tree-sitter support covers JavaScript, TypeScript, Python, Go, Rust, Ruby, Java, and C/C++; other extensions fall back to plain text unless registered in .claude-mem.json.

Is Smart Explore safe to install?

skills.sh reports 3 of 3 security scanners passed. Review the Security Audits panel on this page before installing in production.

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