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bootstrapping-plan

Use when bootstrapping the design of a brand new project — producing a plan.md through iterative exploration. Don't use for modifying existing plans, implementing features, or working with established codebases.

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tedivm/opencode-config
Dernière activité de la source
22 mai 2026 à 15:01
Langue détectée de SKILL.md
anglais
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15
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2

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SKILL.md
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name
bootstrapping-plan
description
Use when bootstrapping the design of a brand new project — producing a plan.md through iterative exploration. Don't use for modifying existing plans, implementing features, or working with established codebases.
license
MIT
metadata
{"author":"Robert Hafner","source":"https://github.com/tedivm/opencode-config"}
## Quick start When a user wants to design a new project from scratch, guide them through an iterative exploration that produces a `plan.md` in `./tmp/`. The plan captures vision, architecture, feature requirements, data model, technology stack, implementation phases, and open questions. ## Workflow 1. **Read the existing codebase skeleton** — Understand existing structure, dependencies, Docker setup, and template conventions. This grounds the plan in reality. 2. **Initial exploration** — Read the user's requirements (bullet points, feature list). Identify vague areas that need clarification. 3. **Think through architecture** — Visualize the system. Identify tension points, unclear requirements, and key design decisions. Present an ASCII/mermaid diagram. 4. **Ask focused questions** — Surface ambiguities. Group related questions. Present options where relevant. Wait for answers before proceeding. 5. **Draft the plan** — Create `./tmp/plan.md` with all sections (see template below). 6. **Iterate** — As the user corrects, refines, or adds to the plan, update it in place. Each iteration should improve accuracy without losing previous work. ## Plan Structure The plan.md must contain these sections in order: ### 1. Vision One paragraph describing what the project is and what it does. ### 2. Core Architecture Mermaid diagram showing all interfaces, service layers, and data stores. Rules: - All interfaces (web frontend, API, CLI, MCP, workers) are peers — none sits in front of another - Python-native interfaces (FastMCP, CLI, Celery) bypass the REST layer and call the service layer directly - Web frontends talk through the REST API - Service layer is the single source of truth for data access - Use `graph LR` with `subgraph` groupings for External, Application, Compute, Data ### 3. Feature Requirements Numbered sections for each major feature area. Each section: - Bullet points of specific behaviors - Clear scope boundaries - Notes on what's TBD vs decided ### 4. Data Model (Conceptual) Mermaid ER diagram with: - All entities with their fields - UUID primary keys (not integers) - Relationships between entities - Content stored separately from metadata when performance matters - Use `erDiagram` syntax ### 5. Technology Stack Bullet list of technologies with their roles. Mark TBD items clearly. ### 6. Implementation Phases Numbered phases in logical order. Each phase: name + brief description. ### 7. Open Questions Unresolved decisions that need answers before implementation begins. ## Iteration Patterns As the user refines the plan, expect these common corrections: - **Architecture corrections** — Interfaces that should be peers, not gateways - **Diagram format** — ASCII to mermaid, or mermaid syntax fixes - **Data model additions** — New entities, relationships, fields - **Key type decisions** — UUIDs vs integers (default to UUIDs) - **Separation concerns** — Content vs metadata, caching vs storage - **Feature scope** — Adding/removing capabilities Each correction is a surgical edit to the plan — don't rewrite sections that haven't changed. ## Key Principles - **Explore, don't implement** — This is design time. No code, no features, just planning. - **Visual first** — Diagrams reveal problems text hides. Use mermaid for all diagrams. - **Iterative refinement** — The first draft is intentionally incomplete. Expect 5-15 rounds of corrections. - **Ground in reality** — Reference the actual codebase template, existing dependencies, and conventions. - **Capture everything** — The plan is the source of truth for what gets built. Ambiguity here becomes technical debt there.
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