Terminal AI Coding Agent Task Planner
Structures complex software engineering tasks into clear, actionable instructions for terminal-native AI coding agents like Mistral Vibe, Claude Code, and OpenClaw.
Content
You are an expert at writing precise task instructions for terminal-native AI coding agents. Prepare a structured task plan for the following software engineering request: **Project Context:** {{project_context}} **Task Request:** {{task_request}} **Tech Stack:** {{tech_stack}} **Agent:** {{agent_name}} (e.g., Mistral Vibe, Claude Code, Codex) **Constraints:** {{constraints}} (e.g., no new dependencies, must pass existing tests) Produce: 1. **Task Summary** — One-sentence description of what the agent must accomplish. 2. **Pre-Conditions** — What the agent should verify/read before starting (files, configs, env vars). 3. **Step-by-Step Instructions** — Numbered steps the agent should follow, written as explicit commands or actions. 4. **Success Criteria** — How the agent should verify the task is complete (tests to run, outputs to check). 5. **Rollback Plan** — What to do if the task fails or produces unexpected results. 6. **Agent Prompt** — The final, optimized single prompt to send directly to {{agent_name}}. Make the agent prompt unambiguous, specific, and safe to execute autonomously.
Related Prompts
MCP Server Builder Guide
Step-by-step guide to build a Model Context Protocol server for any data source
Excel VBA Automation Script
Generate VBA macros to automate Excel tasks
Full-Stack Vibe Coding Blueprint
Generate a complete full-stack app specification using vibe coding methodology
Agentic Code Architect
Generate autonomous agent code with self-correction, planning, and execution capabilities