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…
Install
$ agentstack add skill-ai-driven-dev-framework-01-bootstrap ✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.
Security review
✓ PassedNo issues found. Passed automated security review. · v0.1.0 How review works →
- ✓ Prompt-injection patterns
- ✓ Secret / credential exfiltration
- ✓ Dangerous shell & filesystem operations
- ✓ Untrusted network calls
- ✓ Known-malicious package signatures
What it can access
- ✓ Network access No
- ✓ Filesystem access No
- ✓ Shell / process execution No
- ✓ Environment & secrets No
- ✓ Dynamic code execution No
From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.
Verified badge
Passed review? Show it. Paste this badge into your README, it links to the public security report.
Links to your public security report.[](https://agentstack.voostack.com/security/report/skill-ai-driven-dev-framework-01-bootstrap) Reliability & compatibility
Declared compatibility
Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.
We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.
How agent discovery & health will work →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 createspackage.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.mdwhen 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- theINSTALL.mdskeleton
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
- Source: ai-driven-dev/framework
- License: MIT
- Homepage: https://www.ai-driven-dev.fr/
Install and usage instructions live in the source repository linked above.
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Versions
- v0.1.0 Imported from the upstream source.