# 01 Bootstrap

> Imagine and validate the technical architecture of a new SaaS through interactive Q&A, candidate-stack comparison, multi-agent audit, and an INSTALL.md output. Use when starting a new SaaS project, choosing a stack, designing the architecture pattern (monolith vs microservices vs serverless), or producing a project's INSTALL.md. Do NOT use for editing an existing project's stack, database schema…

- **Type:** Skill
- **Install:** `agentstack add skill-ai-driven-dev-framework-01-bootstrap`
- **Verified:** Yes — security-reviewed for prompt injection and unsafe behavior
- **Seller:** [ai-driven-dev](https://agentstack.voostack.com/s/ai-driven-dev)
- **Installs:** 0
- **Category:** [Databases](https://agentstack.voostack.com/c/databases)
- **Latest version:** 0.1.0
- **License:** MIT
- **Upstream author:** [ai-driven-dev](https://github.com/ai-driven-dev)
- **Source:** https://github.com/ai-driven-dev/framework/tree/main/plugins/aidd-context/skills/01-bootstrap
- **Website:** https://www.ai-driven-dev.fr/

## Install

```sh
agentstack add skill-ai-driven-dev-framework-01-bootstrap
```

Requires the [AgentStack CLI](https://agentstack.voostack.com/docs/cli). Works with Claude Code, Cursor, and any MCP-compatible agent.

## About

# Bootstrap

Plays the role of technical architect for a new SaaS project. Walks the user through a 24-item checklist (18 user-input + 6 derived), proposes 2-3 candidate stacks, audits each via parallel agents, then produces `aidd_docs/INSTALL.md` capturing the technical vision, decisions, stack, architecture pattern, folder tree, and install steps. Documentation only - no code, no scaffolding.

## Available actions

| #   | Action                | Role                                                           | Input              |
| --- | --------------------- | -------------------------------------------------------------- | ------------------ |
| 01  | `gather-needs`        | Q&A across the 24-item checklist                               | user intent        |
| 02  | `propose-candidates`  | Derive 2-3 candidate stacks, render comparison table           | filled checklist   |
| 03  | `audit-candidates`    | Spawn parallel agents to validate each candidate, emit verdict | candidates table   |
| 04  | `pick-and-design`     | User picks winner; generate folder tree + Mermaid diagram      | audit report       |
| 05  | `write-install-md`    | Produce `aidd_docs/INSTALL.md`                                 | design + decisions |

## Default flow

`01 → 02 → 03 → 04 → 05`. Sequential. The audit (03) is a gate: if every candidate returns `❌`, loop back to 02 to revise candidates or 01 to revisit needs.

## Transversal rules

- **No file scaffolding.** This skill writes only `aidd_docs/INSTALL.md`. It never creates `package.json`, source files, or empty directories.
- **Anti-sycophancy.** When the user expresses a stack preference that conflicts with their needs (e.g. wants Mongo for heavily relational data), challenge it before accepting: surface audit concerns and ask whether the user has a mitigation plan.
- **Recommend opinionated, not encyclopedic.** Each action proposes 2-3 options max, never a long catalog. The user should leave with a concrete decision, not a research paper.
- **Stop on full checklist.** Action 01 keeps asking until the 18 user-input items (blocks 1-3) are filled; the 6 derived items (block 4) are filled across actions 02 and 04.
- **Apply heuristics from `@references/stack-heuristics.md`** when proposing candidates.

## References

- `@references/stack-heuristics.md` - input → recommended-stack-family heuristics

## Assets

- `@assets/checklist.md` - the 24-item checklist (4 blocks)
- `@assets/install-template.md` - the `INSTALL.md` skeleton

## External data

- `aidd-context/skills/09-mermaid/SKILL.md` - invoked from action 04 to render the architecture diagram

## Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

- **Author:** [ai-driven-dev](https://github.com/ai-driven-dev)
- **Source:** [ai-driven-dev/framework](https://github.com/ai-driven-dev/framework)
- **License:** MIT
- **Homepage:** https://www.ai-driven-dev.fr/

Install and usage instructions live in the source repository linked above.

## Pricing

- **Free** — Free

## Security capabilities

Automated source analysis of v0.1.0 — what this tool can access:

- **Network access:** no
- **Filesystem access:** no
- **Shell / process execution:** no
- **Environment & secrets:** no
- **Dynamic code execution:** no

*"Yes" means the capability is present in the source — more access means more to trust, not that it is unsafe.*


## Versions

- **0.1.0** — security scan: passed — Imported from the upstream source.

## Links

- Listing page: https://agentstack.voostack.com/l/skill-ai-driven-dev-framework-01-bootstrap
- Seller: https://agentstack.voostack.com/s/ai-driven-dev
- Browse the marketplace: https://agentstack.voostack.com/browse

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Listed on AgentStack — the marketplace for AI agent skills and MCP servers. Every listing is security-reviewed. Creators keep 70%.