ranbot-ai/blueprint

Blueprint — Construction Plan Generator

Turn a one-line objective into a step-by-step plan any coding agent can execute cold.

Overview

Blueprint is for multi-session, multi-agent engineering projects where each step must be independently executable by a fresh agent that has never seen the conversation history. Install it once, invoke it with /blueprint <project> <objective>.

When to Use This Skill

• Use when the task requires multiple PRs or sessions
• Use when multiple agents or team members need to share execution
• Use when you want adversarial review of the plan before execution
• Use when parallel step detection and dependency graphs matter

How It Works

1. Research — Scans the codebase, reads project memory, runs pre-flight checks
2. Design — Breaks the objective into one-PR-sized steps, identifies parallelism, assigns model tiers
3. Draft — Generates the plan from a structured template with branch workflow rules, CI policy, and rollback strategies inline
4. Review — Delegates adversarial review to a strongest-model sub-agent (falls back to default model if unavailable)
5. Register — Saves the plan and updates project memory

Examples

Example 1: Database migration

/blueprint myapp "migrate database to PostgreSQL"

Example 2: Plugin extraction

/blueprint antbot "extract providers into plugins"

Best Practices

• ✅ Use for tasks requiring 3+ PRs or multiple sessions
• ✅ Let Blueprint auto-detect git/gh availability — it degrades gracefully
• ❌ Don't invoke for tasks completable in a single PR
• ❌ Don't invoke when the user says "just do it"

Key Differentiators

• Cold-start execution: Every step has a self-contained context brief
• Adversarial review gate: Strongest-model review before execution
• Zero runtime risk: Pure markdown — no hooks, no scripts, no executable code
• Plan mutation protocol: Steps can be split, inserted, skipped with audit trail

Installation

mkdir -p ~/.claude/skills
git clone https://github.com/antbotlab/blueprint.git ~/.claude/skills/blueprint

Additional Resources

• GitHub Repository
• Examples: small plan
• Examples: large plan

Limitations

• Use this skill only when the task clearly matches the scope described above.
• Do not treat the output as a substitute for environment-specific validation, testing, or expert review.
• Stop and ask for clarification if required inputs, permissions, safety boundaries, or success criteria are missing.