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spawn-research-agents

Use when conducting codebase research to orchestrate specialized agents in parallel for comprehensive investigation.

Skill by eveld

IndexedMIT★ 10
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Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.

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About

Use when conducting codebase research to orchestrate specialized agents in parallel for comprehensive investigation.

Use cases: research

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Permissions

What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.

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Network hosts it talks to 1

  • codeload.github.com · found in install command

Files it touches

  • ~/.claude/skills/spawn-research-agents

What's inside

Skill name
spawn-research-agents
Description
Use when conducting codebase research to orchestrate specialized agents in parallel for comprehensive investigation.
License
MIT
Instructions
58 lines in SKILL.md · view on GitHub

Files (1)

  • SKILL.md

SKILL.md (first lines)

# Spawn Research Agents

Use specialized agents in parallel to research different aspects of the codebase efficiently.

## Agent Selection

Choose agents based on research needs:

**Always start with locators**:
- `codebase-locator` - Find WHERE files/components are
- `thoughts-locator` - Find WHAT documentation exists

**Then use analyzers on findings**:
- `codebase-analyzer` - Understand HOW specific code works
- `codebase-pattern-finder` - Find SIMILAR implementations
- `thoughts-analyzer` - Extract insights from specific docs

**Only if user explicitly requests**:
- `web-search-researcher` - External research

## Parallel Execution Pattern

Spawn multiple agents at once using multiple Task calls in a single message:

```
Task(subagent_type="codebase-locator", prompt="Find all authentication files")
Task(subagent_type="thoughts-locator", prompt="Find auth-related documentation")
```

Then wait for both to complete before spawning follow-up agents.

## Research Workflow

1. **Decompose**: Break research question into specific areas
2. **Locate**: Use locator agents to find relevant files/docs
3. **Analyze**: Use analyzer agents on most promising findings
4. **Synthesize**: Combine all results with file:line references

## Example

Research question: "How does authentication work?"

**Step 1 - Locate (parallel)**:
```
Task(subagent_type="codebase-locator", prompt="Find all authentication-related files including handlers, middleware, and services")
Task(subagent_type="thoughts-locator", prompt="Find any documentation about authentication implementation")
```

**Step 2 - Analyze (parallel, after step 1 completes)**:
```
Task(subagent_type="codebase-analyzer", prompt="Analyze authentication flow from login endpoint through JWT generation")
Task(subagent_type="codebase-pattern-finder", prompt="Find examples of how other endpoints use authentication middleware")
```

**Step 3 - Synthesize**:
Combine findings with specific file paths and line numbers.

From eveld/claude, MIT.

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Forks
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Last commit (this folder)
Dec 23, 2025 (10 months ago)
Last release
Dec 29, 2025 (10 months ago)

From GitHub (fetched Oct 24, 2026).

Details

License
MIT
First seen
Oct 24, 2026
Last checked
Oct 24, 2026

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Cite this page

spawn-research-agents skill. Agent Mart. https://agentmart.dev/skills/eveld-spawn-research-agents (last updated 2026-10-24)