S

smart-explore

by @thedotmackv
4.4(42)

Utilizes Abstract Syntax Tree (AST) parsing technology for structured code exploration and analysis, gaining deep understanding of code logic and architecture to improve development efficiency.

code-structure-explorationast-parsingstatic-code-analysiscode-navigationprogrammatic-code-analysisGitHub
Installation
npx skills add thedotmack/claude-mem --skill smart-explore
compare_arrows

Before / After Comparison

1
Before

When faced with a complex and unfamiliar codebase, developers typically need to manually read a large number of code files and trace logic line by line. This consumes a significant amount of time to understand its structure and functionality, leading to low efficiency and a high likelihood of missing critical information.

After

By utilizing this skill, the system can automatically analyze code structure based on AST parsing, quickly identifying key functions, variables, and call relationships. Developers can rapidly grasp the overall code architecture, significantly reducing understanding and debugging time.

SKILL.md

smart-explore

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. Weekly Installs193Repositorythedotmack/claude-memGitHub Stars37.6KFirst SeenFeb 26, 2026Security AuditsGen Agent Trust HubPassSocketPassSnykPassInstalled oncodex189gemini-cli187kimi-cli187amp187github-copilot187opencode187

User Reviews (0)

Write a Review

Effect
Usability
Docs
Compatibility

No reviews yet

Statistics

Installs2.7K
Rating4.4 / 5.0
Version
Updated2026年5月22日
Comparisons1

User Rating

4.4(42)
5
36%
4
50%
3
14%
2
0%
1
0%

Rate this Skill

0.0

Compatible Platforms

🔧Claude Code

Timeline

Created2026年3月18日
Last Updated2026年5月22日