blueprint
Turn a one-line objective into a step-by-step construction plan any coding agent can execute cold. Each step has a self-contained context brief — a fresh agent in a new session can pick up any step without reading prior steps.
Best use case
blueprint is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Turn a one-line objective into a step-by-step construction plan any coding agent can execute cold. Each step has a self-contained context brief — a fresh agent in a new session can pick up any step without reading prior steps.
Teams using blueprint should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/blueprint/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How blueprint Compares
| Feature / Agent | blueprint | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Turn a one-line objective into a step-by-step construction plan any coding agent can execute cold. Each step has a self-contained context brief — a fresh agent in a new session can pick up any step without reading prior steps.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
# 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 ```bash mkdir -p ~/.claude/skills git clone https://github.com/antbotlab/blueprint.git ~/.claude/skills/blueprint ``` ## Additional Resources - [GitHub Repository](https://github.com/antbotlab/blueprint) - [Examples: small plan](https://github.com/antbotlab/blueprint/blob/main/examples/small-plan.md) - [Examples: large plan](https://github.com/antbotlab/blueprint/blob/main/examples/large-plan.md) ## 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.
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