smart-explore
抽象構文木(AST)解析技術を活用し、コードの構造化された探索と分析を行い、コードロジックとアーキテクチャを深く理解して開発効率を向上させます。
npx skills add thedotmack/claude-mem --skill smart-exploreBefore / After 効果比較
1 组複雑で未知のコードベースに直面した際、開発者は通常、大量のコードファイルを手動で読み込み、ロジックを一行ずつ追跡する必要があります。これにより、その構造と機能を理解するのに多大な時間を費やし、効率が低く、重要な情報を見落としがちです。
このスキルを活用することで、システムはAST解析に基づいてコード構造を自動的に分析し、主要な関数、変数、呼び出し関係を迅速に特定できます。開発者はコード全体像を素早く把握し、理解とデバッグにかかる時間を大幅に短縮できます。
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
ensureWorkerStarteddefined?") -
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
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