Developer Builds Open Source AI Skill to Validate Startup Ideas, Kills Own Idea in 10 Minutes

A developer and cloud engineer built an AI skill called startup-design that provides structured startup validation through 8 phases from initial brainstorming to financial projections. The tool is designed to force brutal honesty before founders become emotionally attached to ideas.
How the Validation Process Works
The developer tested his own startup idea through the skill: a certification body that validates companies' internal culture and practices for facing upcoming tech/IT challenges, similar to "Great Place to Work" but focused on tech-readiness.
The skill asked specific, challenging questions during the early phase:
- "You're a cloud engineer. Outside of tech, zero background in HR, consulting, or certifications. Why would any company buy a quality stamp from you?"
- "€5k budget, solo side project. How do you build credibility for a certification brand from scratch? Certifications live and die on reputation."
- "Great Place to Work, B Corp, Top Employer, Investors in People already exist. What's your strongest argument against your own idea?"
- "Have you actually talked to HR managers or CEOs to see if they'd buy this? What did they say?"
The Result
After answering honestly, the developer concluded: "I don't have what it takes for THIS idea. Not the skills, not the career background, not the network, not the budget. The idea isn't impossible, I'm just not the right founder for it."
The entire validation process took 10 minutes and killed what he thought was a solid idea. The developer's takeaway: "Killing a bad idea early is the best possible outcome. It's months of wasted effort you'll never have to spend."
Tool Availability
The skill is open source and available at github.com/ferdinandobons/startup-skill. The developer notes that the tool "did exactly what I designed it to do — force brutal honesty before you fall in love with an idea."
📖 Read the full source: r/ClaudeAI
👀 See Also

Custom Voice Extraction Process for Claude Code with Template
A developer shares a three-pass extraction process to create a custom voice skill for Claude Code, resulting in a 510-line SKILL.md file with ban lists for LLM-isms, anti-performative rules, and format-specific voice modes. The open-source template works with any language using 10+ writing samples.

Airbyte Agents: A Pre-Indexed Context Layer for AI Agents vs Raw API MCPs
Airbyte launches Airbyte Agents, a context layer that pre-indexes data from operational systems (Slack, Salesforce, Linear, Zendesk, Gong) to reduce agent token consumption by up to 90% compared to direct vendor MCPs.

Solitaire: Open-Source Identity Layer for AI Agents Built with Claude Code
Solitaire is an open-source identity layer for AI agents that evolves through interaction rather than static configuration. It's been tested across 600+ production sessions and stores all data locally using SQLite + JSONL with no cloud dependencies.

Librarian MCP: Local AI Server for Persistent Context with Documents
Librarian MCP is an open-source Model Context Protocol server that runs locally and connects to Jan, LM Studio, or Claude Desktop, enabling AI models to search and analyze document collections while maintaining full conversation context and data privacy.