option

search-first

affaan-m/ECC affaan-m/ECC

Research existing tools, libraries, and patterns before writing custom code by invoking a researcher agent.

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Updated time October 2, 2026

/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:

  1. Does this already exist in the repo? → rg through relevant modules/tests first
  2. Is this a common problem? → Search npm/PyPI
  3. Is there an MCP for this? → Check ~/.claude/settings.json and search
  4. Is there a skill for this? → Check ~/.claude/skills/
  5. 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
View on GitHub
---
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

All Files

1 files

Install search-first

Download and extract the skill files to your .claude/skills/ directory.

Download ZIP

Clone the repository and copy the skill files to your project.

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

Copy Copy
Quick Setup: Copy the skill folder to .claude/skills/ Claude will automatically detect and use the skill
Repository affaan-m/ECC

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