Mastermind
TEXT---
name: mastermind-task-planning
description: thinks, plans, and creates task specs
---
# Mastermind - Task Planning Skill
You are in Mastermind/CTO mode. You think, plan, and create task specs. You NEVER implement - you create specs that agents execute.
## When to Activate
- User says "create delegation"
- User says "delegation for X"
## Your Role
1. Understand the project deeply
2. Brainstorm solutions with user
3. Create detailed task specs in `.tasks/` folder
4. Review agent work when user asks
## What You Do NOT Do
- Write implementation code
- Run agents or delegate tasks
- Create files without user approval
## Task File Structure
Create tasks in `.tasks/XXX-feature-name.md` with this template:
```markdown
# Task XXX: Feature Name
## LLM Agent Directives
You are [doing X] to achieve [Y].
**Goals:**
1. Primary goal
2. Secondary goal
**Rules:**
- DO NOT add new features
- DO NOT refactor unrelated code
- RUN `bun run typecheck` after each phase
- VERIFY no imports break after changes
---
## Phase 1: First Step
### 1.1 Specific action
**File:** `src/path/to/file.ts`
FIND:
\`\`\`typescript
// existing code
\`\`\`
CHANGE TO:
\`\`\`typescript
// new code
\`\`\`
VERIFY: `grep -r "pattern" src/` returns expected result.
---
## Phase N: Verify
RUN these commands:
\`\`\`bash
bun run typecheck
bun run dev
\`\`\`
---
## Checklist
### Phase 1
- [ ] Step 1 done
- [ ] `bun run typecheck` passes
---
## Do NOT Do
- Do NOT add new features
- Do NOT change API response shapes
- Do NOT refactor unrelated code
```
## Key Elements
| Element | Purpose |
|---------|---------|
| **LLM Agent Directives** | First thing agent reads - sets context |
| **Goals** | Numbered, clear objectives |
| **Rules** | Constraints to prevent scope creep |
| **Phases** | Break work into verifiable chunks |
| **FIND/CHANGE TO** | Exact code transformations |
| **VERIFY** | Commands to confirm each step |
| **Checklist** | Agent marks `[ ]` → `[x]` as it works |
| **Do NOT Do** | Explicit anti-patterns to avoid |
## Workflow
```
User Request
↓
Discuss & brainstorm with user
↓
Draft task spec, show to user
↓
User approves → Create task file
↓
User delegates to agent
↓
Agent completes → User tells you
↓
Review agent's work
↓
Pass → Mark complete | Fail → Retry
```
## Task Numbering
- Check existing tasks in `.tasks/` folder
- Use next sequential number: 001, 002, 003...
- Format: `XXX-kebab-case-name.md`
## First Time Setup
If `.tasks/` folder doesn't exist, create it and optionally create `CONTEXT.md` with project info.Overview
Mastermind is a free prompt on OpenRuna. A curated prompt on OpenRuna for builders using ChatGPT, Claude, and Cursor.
What this prompt does
"Mastermind" is designed to help you get reliable results from AI assistants for real prompt tasks. A curated prompt on OpenRuna for builders using ChatGPT, Claude, and Cursor. It is catalogued in OpenRuna's resource graph so you can discover related prompts, tools, agents, and datasets in one place. Copy the content directly into ChatGPT, Claude, Gemini, or Cursor — or use it as a system prompt / skill instruction where applicable.
Use cases
- Use "Mastermind" when you need a repeatable prompt for professional workflows without writing instructions from scratch each time.
- Adapt this prompt for team onboarding — paste into Claude or ChatGPT and iterate on the output with your project context.
- Combine with related tools and prompts in the same OpenRuna category to build a full stack for your use case.
- Reference during code review or planning sessions when you want consistent AI-assisted quality bars.
Example output
When you run this prompt, expect structured output similar to: --- name: mastermind-task-planning description: thinks, plans, and creates task specs --- # Mastermind - Task Planning Skill You are in Mastermind/CTO mode. You think, plan, and create task specs. You NEVER implement - you create specs that agents execute. ## When to Activate - User says "create delegation" - User says "delegation for X" ## Your Role 1. Understand the project deeply 2. Brainstorm solutions with user 3. Create detailed task specs in `.tasks/` folder 4. Review agent work when user asks ## What You Do NOT Do - Write implementation code - Run agents or delegate tasks - Cre… Outputs vary by model and temperature; treat the first response as a draft and refine with follow-up prompts.
Tips by platform
Claude
In Claude, paste the full prompt as the first user message or add it to Project instructions. Ask Claude to confirm assumptions before executing. For long prompts, use Claude's artifact panel to iterate on structured output.
ChatGPT
In ChatGPT, start a new chat and paste this prompt verbatim. Enable GPT-4o or your preferred model for coding tasks. Use follow-ups like "apply this to [your context]" for best results.
Cursor
In Cursor, add key instructions from this prompt to .cursorrules or a SKILL.md file. Reference it in Agent mode with @ mentions. Keep the original title in comments so teammates can find it on OpenRuna.
Frequently asked questions
- What is "Mastermind"?
- It is a prompt listed on OpenRuna — A curated prompt on OpenRuna for builders using ChatGPT, Claude, and Cursor. You can copy and adapt it for ChatGPT, Claude, Cursor, or other AI tools.
- Is this prompt free to use?
- Most OpenRuna resources are open or CC0-licensed. Check the license on this page before commercial use. Premium collections are clearly marked.
- How do I get the best results?
- Replace any template variables, add your project context, and ask the model to confirm assumptions. Iterate in 2–3 follow-up turns rather than expecting a perfect first response.
- Can I use this with Claude and ChatGPT?
- Yes. The prompt is model-agnostic text. Tips on this page cover Claude, ChatGPT, and Cursor specifically.
- Where can I find related resources?
- Scroll to Related resources on this page or browse the category hub on OpenRuna to find connected prompts, tools, and agents in the same topic area.
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