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spawn-planning-agents

Use when creating implementation plans to research codebase patterns and gather context for planning.

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.

npx agentmarket install skill/eveld-spawn-planning-agents

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About

Use when creating implementation plans to research codebase patterns and gather context for planning.

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-planning-agents

What's inside

Skill name
spawn-planning-agents
Description
Use when creating implementation plans to research codebase patterns and gather context for planning.
License
MIT
Instructions
62 lines in SKILL.md · view on GitHub

Files (1)

  • SKILL.md

SKILL.md (first lines)

# Spawn Planning Agents

Use specialized agents to gather context needed for creating detailed implementation plans.

## Planning Research Needs

When planning implementations, you need:

1. **Existing code patterns** - How is similar functionality implemented?
2. **Integration points** - What files will need to change?
3. **Test patterns** - How should tests be written?
4. **Documentation** - What prior decisions or research exists?

## Agent Selection for Planning

**Find what exists**:
- `codebase-locator` - Find files related to the feature area
- `thoughts-locator` - Find existing plans, research, or tickets

**Understand patterns**:
- `codebase-pattern-finder` - Find similar features to model after
- `codebase-analyzer` - Understand existing architecture

**Extract insights**:
- `thoughts-analyzer` - Extract key decisions from prior research

## Planning Workflow

1. **Context gathering (parallel)**:
   - Locate existing code in the feature area
   - Find similar implementations to model after
   - Check for prior research or decisions

2. **Pattern analysis (parallel, after context)**:
   - Analyze architecture of similar features
   - Understand integration points

3. **Plan creation**:
   - Use findings to inform phases
   - Reference specific files and patterns
   - Include concrete examples from codebase

## Example

Planning task: "Add email notifications feature"

**Step 1 - Context (parallel)**:
```
Task(subagent_type="codebase-locator", prompt="Find all notification-related code")
Task(subagent_type="codebase-pattern-finder", prompt="Find examples of background job handlers and email sending")
Task(subagent_type="thoughts-locator", prompt="Find any research about notification systems")
```

**Step 2 - Analysis (after context)**:
```
Task(subagent_type="codebase-analyzer", prompt="Analyze how the existing SMS notification system works, including job queuing and template rendering")
```

**Step 3 - Plan with specifics**:
Reference the patterns found and create phases that follow existing conventions.

From eveld/claude, MIT.

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Stars
10
Forks
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Open issues
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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-planning-agents skill. Agent Mart. https://agentmart.dev/skills/eveld-spawn-planning-agents (last updated 2026-10-24)