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search-first

affaan-m/ECC affaan-m/ECC

在编写自定义代码之前,通过调用研究代理来调研现有的工具、库和模式。

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更新时间 2026-10-02

/search-first — 先研究,再编码

将“在实现之前先寻找现有解决方案”的工作流程系统化。

触发条件

在以下情况下使用此技能:

  • 开始开发新功能,且该功能很可能已有现成解决方案时
  • 添加依赖项或集成
  • 用户要求“添加 X 功能”,而你正准备编写代码时
  • 在创建新的实用程序、辅助函数或抽象类之前

工作流程

┌─────────────────────────────────────────────┐
│  0. TOOL AVAILABILITY PREFLIGHT             │
│     Check search channels before relying on │
│     them; report skipped channels honestly   │
├─────────────────────────────────────────────┤
│  1. NEED ANALYSIS                           │
│     Define what functionality is needed      │
│     Identify language/framework constraints  │
├─────────────────────────────────────────────┤
│  2. PARALLEL SEARCH (researcher agent)      │
│     ┌──────────┐ ┌──────────┐ ┌──────────┐  │
│     │  npm /   │ │  MCP /   │ │  GitHub / │  │
│     │  PyPI    │ │  Skills  │ │  Web      │  │
│     └──────────┘ └──────────┘ └──────────┘  │
├─────────────────────────────────────────────┤
│  3. EVALUATE                                │
│     Score candidates (functionality, maint, │
│     community, docs, license, deps)         │
├─────────────────────────────────────────────┤
│  4. DECIDE                                  │
│     ┌─────────┐  ┌──────────┐  ┌─────────┐  │
│     │  Adopt  │  │  Extend  │  │  Build   │  │
│     │ as-is   │  │  /Wrap   │  │  Custom  │  │
│     └─────────┘  └──────────┘  └─────────┘  │
├─────────────────────────────────────────────┤
│  5. IMPLEMENT                               │
│     Install package / Configure MCP /       │
│     Write minimal custom code               │
└─────────────────────────────────────────────┘

决策矩阵

信号 操作
完全匹配、维护良好、MIT/Apache 采用——直接安装并使用
部分匹配,基础良好 扩展 — 安装 + 编写轻量级封装层
多个弱匹配 组合——将2-3个小型软件包整合
未找到合适方案 构建——编写自定义代码,但需基于研究结果

使用方法

步骤 0:工具可用性预检

这是代理指南,并非可执行的设置脚本。请仅检查 与您当前任务和项目相关的渠道。

通道 检查项 若缺失
仓库搜索 rg --files 和目标 rg 查询 说明仅检查了可见文件
软件包注册表 npm --version, python -m pip --version或项目包管理器 使用 web/docs 搜索,并避免声称覆盖了注册表
GitHub CLI gh auth status 仅使用公开的 Web 版本或本地 Git 历史记录
MCP/文档工具 可用工具列表或本地 MCP 配置 回退到官方文档/网页搜索
技能目录 ls ~/.claude/skills ~/.codex/skills (如适用) 假设没有本地技能目录

快速模式(内联)

在编写实用程序或添加功能之前,请在脑海中思考:

  1. 仓库中是否已有此功能? → rg 先检查相关模块/测试
  2. 这是常见问题吗?→ 在 npm/PyPI 上搜索
  3. 是否有相应的 MCP?→ 检查 ~/.claude/settings.json 并搜索
  4. 是否有相关技能?→ 检查 ~/.claude/skills/
  5. 是否有 GitHub 上的实现/模板?→ 在编写全新代码前,先在 GitHub 上搜索维护良好的开源代码

完整模式(代理)

对于非简单功能,请启动研究员代理:

Agent(subagent_type="general-purpose", prompt="
  Research existing tools for: [DESCRIPTION]
  Language/framework: [LANG]
  Constraints: [ANY]

  Search: npm/PyPI, MCP servers, Claude Code skills, GitHub
  Return: Structured comparison with recommendation
")

较早版本的 Claude Code 文档可能将此称为 Task(...);请使用当前由活动框架提供的代理/子代理 工具名称。

按类别搜索快捷方式

开发工具

  • 代码检查 → eslint, ruff, textlint, markdownlint
  • 格式化 → prettier, black, gofmt
  • 测试 → jest, pytest, go test
  • 提交前检查 → husky, lint-staged, pre-commit

AI/LLM 集成

  • Claude SDK → 请访问Context7获取最新文档
  • 提示词管理 → 检查 MCP 服务器
  • 文档处理 → unstructured, pdfplumber, mammoth

数据与API

  • HTTP 客户端 → httpx (Python), ky/undici (Node)
  • 验证 → zod (TS), pydantic (Python)
  • 数据库 → 首先检查 MCP 服务器

内容与发布

  • Markdown 处理 → remark, unified, markdown-it
  • 图片优化 → sharp, imagemin

集成点

使用规划器代理

规划师应在第1阶段(架构审查)之前调用研究员:

  • 研究人员确定可用的工具
  • 规划师将其纳入实施计划
  • 避免在计划中“重复造轮子”

与架构师代理配合

架构师应就以下事项咨询研究员:

  • 技术栈决策
  • 集成模式的探索
  • 现有参考架构

结合迭代检索技能

将其结合以实现渐进式探索:

  • 第一轮:广泛搜索(npm、PyPI、MCP)
  • 第 2 轮:详细评估顶级候选方案
  • 第三轮:测试与项目约束条件的兼容性

示例

示例 1:“添加死链检测”

Need: Check markdown files for broken links
Search: npm "markdown dead link checker"
Found: textlint-rule-no-dead-link (score: 9/10)
Action: ADOPT — npm install textlint-rule-no-dead-link
Result: Zero custom code, battle-tested solution

示例 2:“添加 HTTP 客户端封装层”

Need: Resilient HTTP client with retries and timeout handling
Search: npm "http client retry", PyPI "httpx retry"
Found: got (Node) with retry plugin, httpx (Python) with built-in retry
Action: ADOPT — use got/httpx directly with retry config
Result: Zero custom code, production-proven libraries

示例 3:“添加配置文件代码检查工具”

Need: Validate project config files against a schema
Search: npm "config linter schema", "json schema validator cli"
Found: ajv-cli (score: 8/10)
Action: ADOPT + EXTEND — install ajv-cli, write project-specific schema
Result: 1 package + 1 schema file, no custom validation logic

反模式

  • 直接跳到代码:在未检查是否已有现成工具的情况下编写实用程序
  • 忽视 MCP:未检查 MCP 服务器是否已提供该功能
  • 静默跳过:当搜索通道不可用时,报告“未找到任何内容”
  • 过度定制:对库进行过度封装,以致丧失其原有优势
  • 依赖膨胀:为一个微小功能安装庞大的软件包
在 GitHub 上查看
---
name: search-first
description: Research existing tools, libraries, and patterns before writing custom code by invoking a researcher agent.
---

# /search-first — Research Before You Code

Systematizes the "search for existing solutions before implementing" workflow.

## Trigger

Use this skill when:
- Starting a new feature that likely has existing solutions
- Adding a dependency or integration
- The user asks "add X functionality" and you're about to write code
- Before creating a new utility, helper, or abstraction

## Workflow

```
┌─────────────────────────────────────────────┐
│  0. TOOL AVAILABILITY PREFLIGHT             │
│     Check search channels before relying on │
│     them; report skipped channels honestly   │
├─────────────────────────────────────────────┤
│  1. NEED ANALYSIS                           │
│     Define what functionality is needed      │
│     Identify language/framework constraints  │
├─────────────────────────────────────────────┤
│  2. PARALLEL SEARCH (researcher agent)      │
│     ┌──────────┐ ┌──────────┐ ┌──────────┐  │
│     │  npm /   │ │  MCP /   │ │  GitHub / │  │
│     │  PyPI    │ │  Skills  │ │  Web      │  │
│     └──────────┘ └──────────┘ └──────────┘  │
├─────────────────────────────────────────────┤
│  3. EVALUATE                                │
│     Score candidates (functionality, maint, │
│     community, docs, license, deps)         │
├─────────────────────────────────────────────┤
│  4. DECIDE                                  │
│     ┌─────────┐  ┌──────────┐  ┌─────────┐  │
│     │  Adopt  │  │  Extend  │  │  Build   │  │
│     │ as-is   │  │  /Wrap   │  │  Custom  │  │
│     └─────────┘  └──────────┘  └─────────┘  │
├─────────────────────────────────────────────┤
│  5. IMPLEMENT                               │
│     Install package / Configure MCP /       │
│     Write minimal custom code               │
└─────────────────────────────────────────────┘
```

## Decision Matrix

| Signal | Action |
|--------|--------|
| Exact match, well-maintained, MIT/Apache | **Adopt** — install and use directly |
| Partial match, good foundation | **Extend** — install + write thin wrapper |
| Multiple weak matches | **Compose** — combine 2-3 small packages |
| Nothing suitable found | **Build** — write custom, but informed by research |

## How to Use

### Step 0: Tool Availability Preflight

This is agent guidance, not an executable setup script. Check only the channels
that are relevant to the task and project in front of you.

| Channel | Check | If missing |
|---------|-------|------------|
| Repository search | `rg --files` and targeted `rg` queries | State that only visible files were inspected |
| Package registry | `npm --version`, `python -m pip --version`, or project package manager | Use web/docs search and avoid claiming registry coverage |
| GitHub CLI | `gh auth status` | Use public web or local git history only |
| MCP/docs tools | Available tool list or local MCP config | Fall back to official docs/web search |
| Skills directory | `ls ~/.claude/skills ~/.codex/skills` where applicable | Say no local skill catalog was available |

### Quick Mode (inline)

Before writing a utility or adding functionality, mentally run through:

0. Does this already exist in the repo? → `rg` through relevant modules/tests first
1. Is this a common problem? → Search npm/PyPI
2. Is there an MCP for this? → Check `~/.claude/settings.json` and search
3. Is there a skill for this? → Check `~/.claude/skills/`
4. Is there a GitHub implementation/template? → Run GitHub code search for maintained OSS before writing net-new code

### Full Mode (agent)

For non-trivial functionality, launch the researcher agent:

```
Agent(subagent_type="general-purpose", prompt="
  Research existing tools for: [DESCRIPTION]
  Language/framework: [LANG]
  Constraints: [ANY]

  Search: npm/PyPI, MCP servers, Claude Code skills, GitHub
  Return: Structured comparison with recommendation
")
```

Older Claude Code docs may call this `Task(...)`; use the current agent/subagent
tool name exposed by the active harness.

## Search Shortcuts by Category

### Development Tooling
- Linting → `eslint`, `ruff`, `textlint`, `markdownlint`
- Formatting → `prettier`, `black`, `gofmt`
- Testing → `jest`, `pytest`, `go test`
- Pre-commit → `husky`, `lint-staged`, `pre-commit`

### AI/LLM Integration
- Claude SDK → Context7 for latest docs
- Prompt management → Check MCP servers
- Document processing → `unstructured`, `pdfplumber`, `mammoth`

### Data & APIs
- HTTP clients → `httpx` (Python), `ky`/`undici` (Node)
- Validation → `zod` (TS), `pydantic` (Python)
- Database → Check for MCP servers first

### Content & Publishing
- Markdown processing → `remark`, `unified`, `markdown-it`
- Image optimization → `sharp`, `imagemin`

## Integration Points

### With planner agent
The planner should invoke researcher before Phase 1 (Architecture Review):
- Researcher identifies available tools
- Planner incorporates them into the implementation plan
- Avoids "reinventing the wheel" in the plan

### With architect agent
The architect should consult researcher for:
- Technology stack decisions
- Integration pattern discovery
- Existing reference architectures

### With iterative-retrieval skill
Combine for progressive discovery:
- Cycle 1: Broad search (npm, PyPI, MCP)
- Cycle 2: Evaluate top candidates in detail
- Cycle 3: Test compatibility with project constraints

## Examples

### Example 1: "Add dead link checking"
```
Need: Check markdown files for broken links
Search: npm "markdown dead link checker"
Found: textlint-rule-no-dead-link (score: 9/10)
Action: ADOPT — npm install textlint-rule-no-dead-link
Result: Zero custom code, battle-tested solution
```

### Example 2: "Add HTTP client wrapper"
```
Need: Resilient HTTP client with retries and timeout handling
Search: npm "http client retry", PyPI "httpx retry"
Found: got (Node) with retry plugin, httpx (Python) with built-in retry
Action: ADOPT — use got/httpx directly with retry config
Result: Zero custom code, production-proven libraries
```

### Example 3: "Add config file linter"
```
Need: Validate project config files against a schema
Search: npm "config linter schema", "json schema validator cli"
Found: ajv-cli (score: 8/10)
Action: ADOPT + EXTEND — install ajv-cli, write project-specific schema
Result: 1 package + 1 schema file, no custom validation logic
```

## Anti-Patterns

- **Jumping to code**: Writing a utility without checking if one exists
- **Ignoring MCP**: Not checking if an MCP server already provides the capability
- **Silent skipping**: Reporting "nothing found" when a search channel was unavailable
- **Over-customizing**: Wrapping a library so heavily it loses its benefits
- **Dependency bloat**: Installing a massive package for one small feature

所有文件

1 个文件

安装 search-first

下载技能文件并将其解压到 .claude/skills/ 目录中。

下载ZIP

克隆仓库并复制技能文件到您的项目中。

git clone https://github.com/affaan-m/ECC/tree/main/skills/search-first # Copy SKILL.md to your .claude/skills/ directory

复制 复制
快速设置: 将技能文件夹复制到 .claude/skills/ Claude 将自动检测并使用该技能
仓库 affaan-m/ECC

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