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smart-explore

by @thedotmackv1.0.0
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利用抽象语法树(AST)解析技术,对代码进行结构化探索与分析,深入理解代码逻辑与架构,提升开发效率。

Code Structure ExplorationAST ParsingStatic Code AnalysisCode NavigationProgrammatic Code AnalysisGitHub
安装方式
npx skills add thedotmack/claude-mem --skill smart-explore
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Before / After 效果对比

1
使用前

面对复杂陌生的代码库,开发者通常需要手动阅读大量代码文件,逐行追踪逻辑,耗费大量时间才能理解其结构和功能,效率低下且容易遗漏关键信息。

使用后

运用此技能,系统能基于AST解析自动分析代码结构,快速定位关键函数、变量和调用关系,开发者能迅速掌握代码全貌,大幅缩短理解和调试时间。

description 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="", path="./src") -- discover files + symbols across a directory smart_outline(file_path="") -- structural skeleton of one file smart_unfold(file_path="", symbol_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 Installs188Repositorythedotmack/claude-memGitHub Stars37.6KFirst SeenFeb 26, 2026Security AuditsGen Agent Trust HubPassSocketPassSnykPassInstalled oncodex184gemini-cli182kimi-cli182amp182github-copilot182opencode182

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安装量0
评分0.0 / 5.0
版本1.0.0
更新日期2026年3月18日
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🔧Claude Code

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创建2026年3月18日
最后更新2026年3月18日