spawn-planning-agents
Use when creating implementation plans to research codebase patterns and gather context for planning.
Skill by eveld
Install
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
Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.
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About
Use cases: research
Reviews
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Permissions
What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.
- Tools
- No tools found
- Secrets
- None asked for
- Install scripts
- None found
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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Signals
- Stars
- 10
- Forks
- 2
- Open issues
- 0
- 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
- Repository
- github.com/eveld/claude
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
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Query GCP Cloud Logging for errors, service logs, and request traces.
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Use when creating research or plan documents to gather git commit, branch, repository info.
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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)