autoresearch-loop
Domain-agnostic metric-driven improvement loop, generalizing Karpathy's autoresearch. Use when you want an agent to discover what…
Create structured plans for multi-task projects that can be used by the task-orchestrator skill. Use when breaking down complex work into parallel and sequential tasks with dependencies.
$ npx -y skills add jdrhyne/agent-skills --skill planner --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
/plannerContext preview
The summary Claude sees to decide when to auto-load this skill.
Create structured plans for multi-task projects that can be used by the task-orchestrator skill. Use when breaking down complex work into parallel and sequential tasks with dependencies.
name: planner
description: Create structured plans for multi-task projects that can be used by the task-orchestrator skill. Use when breaking down complex work into parallel and sequential tasks with dependencies.
metadata: {"clawdbot":{"emoji":"📋"}}
permissions:
- file_write: "May save the completed plan to a file when the user asks for a persisted artifact."Create structured, orchestrator-ready plans for multi-task projects.
**Source**: Adapted from am-will's codex-skills workflow patterns **Pairs with**: task-orchestrator skill for follow-on implementation
---
Follow this process:
1. **Phase 0**: Clarify requirements (ask up to 5 targeted questions) 2. **Phase 1**: Research & understand the codebase 3. **Phase 2**: Create detailed plan with sprints, tasks, acceptance criteria 4. **Phase 3**: Subagent review of the plan 5. **Phase 4**: Return the plan in markdown and save a file only if the user asked for a persisted artifact
---
Each task must be:
❌ Bad: "Implement third-party sign-in"
✓ Good:
Each sprint must:
---
# Plan: [Task Name] **Generated**: [Date] **Estimated Complexity**: [Low/Medium/High] ## Overview [Brief summary of what needs to be done and the general approach] ## Prerequisites - [Dependencies or requirements that must be met first] - [Tools, libraries, or access needed] - [Tooling limitations, e.g., browser relay/CDP restrictions] ## Sprint 1: [Sprint Name] **Goal**: [What this sprint accomplishes] **Demo/Validation**: - [How to run/demo this sprint's output] - [What to verify] ### Task 1.1: [Task Name] - **Location**: [File paths or components involved] - **Description**: [What needs to be done] - **Perceived Complexity**: [1-10] - **Dependencies**: [Any previous tasks this depends on] - **Acceptance Criteria**: - [Specific, testable criteria] - **Validation**: - [Test(s) or alternate validation steps] ### Task 1.2: [Task Name] [...] ## Sprint 2: [Sprint Name] [...] ## Testing Strategy - [How to test the implementation] - [What to verify at each sprint] ## Potential Risks - [Things that could go wrong] - [Mitigation strategies] ## Rollback Plan - [How to undo changes if needed]
---
Once plan is ready, hand off to the **parallel-task worker**:
Please run parallel-task.md against my-plan.md
Or invoke directly: > "Run all unblocked tasks in plan.md using parallel subagents. Keep looping until all tasks are complete."
---
Adapted from am-will's codex-skills planner/parallel-task prompts.
A collection of AI agent skills and prompts for OpenClaw (formerly Clawdbot), Claude Code, Codex, and other LLM-based coding assistants. 🤝 Contributions Welcome! Have a skill that makes your AI agent smarter? We'd love to include it.
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