lidge-jun/blueprint

Blueprint — Construction Plan Generator

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

When to Use

• Breaking a large feature into multiple PRs with clear dependency order
• Planning a refactor or migration that spans multiple sessions
• Coordinating parallel workstreams across sub-agents
• Any task where context loss between sessions would cause rework

Best suited for multi-PR projects with complex dependencies. For tasks completable in a single PR or session, proceed directly without planning.

How It Works

Blueprint runs a 5-phase pipeline:

1. Research — Pre-flight checks (git, gh auth, remote, default branch), then reads project structure, existing plans, and memory files to gather context.
2. Design — Breaks the objective into one-PR-sized steps (3–12 typical). Assigns dependency edges, parallel/serial ordering, model tier (strongest vs default), and rollback strategy per step.
3. Draft — Writes a self-contained Markdown plan file to plans/. Every step includes a context brief, task list, verification commands, and exit criteria — so a fresh agent can execute any step without reading prior steps.
4. Review — Delegates adversarial review to a strongest-model sub-agent (e.g., Opus) against a checklist and anti-pattern catalog. Fixes all critical findings before finalizing.
5. Register — Saves the plan, updates memory index, and presents the step count and parallelism summary to the user.

Blueprint detects git/gh availability automatically. With git + GitHub CLI, it generates full branch/PR/CI workflow plans. Without them, it switches to direct mode (edit-in-place, no branches).

Examples

Basic usage

/blueprint myapp "migrate database to PostgreSQL"

Produces plans/myapp-migrate-database-to-postgresql.md with steps like:

• Step 1: Add PostgreSQL driver and connection config
• Step 2: Create migration scripts for each table
• Step 3: Update repository layer to use new driver
• Step 4: Add integration tests against PostgreSQL
• Step 5: Remove old database code and config

Multi-agent project

/blueprint chatbot "extract LLM providers into a plugin system"

Produces a plan with parallel steps where possible (e.g., "implement Anthropic plugin" and "implement OpenAI plugin" run in parallel after the plugin interface step is done), model tier assignments (strongest for the interface design step, default for implementation), and invariants verified after every step (e.g., "all existing tests pass", "no provider imports in core").

Key Features

• Cold-start execution — Every step includes a self-contained context brief. No prior context needed.
• Adversarial review gate — Every plan is reviewed by a strongest-model sub-agent against a checklist covering completeness, dependency correctness, and anti-pattern detection.
• Branch/PR/CI workflow — Built into every step. Degrades gracefully to direct mode when git/gh is absent.
• Parallel step detection — Dependency graph identifies steps with no shared files or output dependencies.
• Plan mutation protocol — Steps can be split, inserted, skipped, reordered, or abandoned with formal protocols and audit trail.
• Zero runtime risk — Pure Markdown skill with no executable code. No scripts, no build steps, no dependencies to install.

Requirements

• Coding agent with shell access
• Git + GitHub CLI (optional — enables full branch/PR/CI workflow; degrades gracefully to direct mode when absent)