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smart-explore

Token-optimized structural code search using tree-sitter AST parsing. Use instead of reading full files when you need to understand code structure, find functions, or explore a codebase efficiently.

Install / Use

npx skills add thedotmack/claude-mem --skill smart-explore

Installs into whichever agent you are using.

About this skill
📄

SKILL.md

Installable skill definition

Quality Score

99/100

Supported Platforms

Zed

Tags

Our assessment of smart-explore

smart-explore scores 99/100 on our quality scale, 13th of 1,453 Development & Engineering skills we index (top 1%).

Its SKILL.md is 9.0 KB long, well organised into 13 sections with 10 code examples: a thorough specification that gives an agent plenty to work with.

With 94,599 GitHub stars, it is one of the more widely adopted skills in the catalogue.

Substance
29/30
Structure
20/20
Description
15/15
Adoption
20/20
Freshness
15/15

Maintenance, license and trust

  • The repository was last updated today, so smart-explore is actively maintained.
  • It is released under the Apache-2.0 license, a permissive license that allows use, modification and commercial use with attribution.
  • Its trust signals score 100/100, with no cautions. These come from repository metadata, not a code audit — read the skill file before letting an agent act on it.

Safety scan

No issues found

Our scan of the whole file found no instruction hijacking, hidden characters, credential access, data exfiltration or destructive commands. An AI review of the same text found nothing harmful.

AI review by kimi-k2.7-code on 2026-09-25. Automated pattern scan on 2026-09-24. It catches known dangerous patterns, not every risk — read a skill before letting an agent act on it.

smart-explore compared with similar skills

All 4 of these similar skills score higher than smart-explore; compare them before choosing.

SkillScoreStarsUpdatedFormat
smart-explore (this skill)by thedotmack9994.6ktodaySKILL.md
ai-job-searchby MadsLorentzen10043.9k3d agoCLAUDE.md
claude-howtoby luongnv8910041.7k5d agoCLAUDE.md
algorithmic-artby anthropics100177.9k2d agoSKILL.md
pptxby anthropics100177.9k2d agoSKILL.md

Frequently asked questions

How do I install smart-explore?
Run npx skills add thedotmack/claude-mem --skill smart-explore. The install tabs above show the steps for each supported agent.
Which AI agents does smart-explore work with?
It is written for Zed, as a SKILL.md file. Other agents that read the same format can often use it too.
Is smart-explore safe to use?
Our scan of the whole file found no instruction hijacking, hidden characters, credential access, data exfiltration or destructive commands. An AI review of the same text found nothing harmful. It is Apache-2.0-licensed and scores 100/100 on trust signals. Skills are instructions an agent will follow, so read the file before installing it and do not approve commands you do not understand.
Is smart-explore still maintained?
The repository was last updated today, so smart-explore is actively maintained.

name: smart-explore description: Token-optimized structural code search using tree-sitter AST parsing. Use instead of reading full files when you need to understand code structure, find functions, or explore a codebase efficiently.

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

| 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.

Language Support

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

Bundled Languages

| 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.

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

View on GitHub
GitHub Stars94.6k
CategoryDevelopment
Updated23h ago
Forks8.4k

Languages

TypeScript

Trust signals

100/100

From repository metadata: license, adoption, age and documentation. Not a code audit — see the Safety scan above for what the skill file itself contains.

No cautions