Menu
Use when creating implementation plans to research codebase patterns and gather context for planning.
Installer avec Codex ou Claude Copiez ce prompt, collez-le dans Codex, Claude ou un autre assistant, puis laissez-le vérifier la page du skill et l'installer pour vous.
Basé sur la classification professionnelle SOC
Generic migration orchestrator that reads CHANGELOG.md to understand and execute version-specific migrations
Determine feature slug interactively by auto-detecting next number and prompting user for description
Share personal documents to the shared namespace with atomic git commit and push
Use when creating implementation plans to generate properly structured plans with phases, success criteria, and project references.
Use when documenting research findings to create properly structured research documents with frontmatter, sections, and file references.
ALWAYS check this skill before using grep, glob, Task tool, or doing any codebase exploration. Guides you to use specialized agents that are more efficient than basic tools.
| name | spawn-planning-agents |
| description | Use when creating implementation plans to research codebase patterns and gather context for planning. |
Use specialized agents to gather context needed for creating detailed implementation plans.
When planning implementations, you need:
Find what exists:
codebase-locator - Find files related to the feature areathoughts-locator - Find existing plans, research, or ticketsUnderstand patterns:
codebase-pattern-finder - Find similar features to model aftercodebase-analyzer - Understand existing architectureExtract insights:
thoughts-analyzer - Extract key decisions from prior researchContext gathering (parallel):
Pattern analysis (parallel, after context):
Plan creation:
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.