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ai-cofounder-skill

A cross-platform AI skill that guides founders through a structured discovery process — from raw self-knowledge to validated business directions and startup artifacts. Works with Claude (Tool Use), OpenAI/GPT (Function Calling), and Gemini (CLI Skills).

Install / Use

npx skills add ecartz/ai-cofounder-skill

Installs into whichever agent you are using.

About this skill
📄

SKILL.md

Installable skill definition

Quality Score

77/100

Supported Platforms

Claude Code
Gemini CLI

Tags

Our assessment of ai-cofounder-skill

ai-cofounder-skill scores 77/100 on our quality scale, 817th of 963 AI & Machine Learning skills we index.

Its SKILL.md is 6.6 KB long, well organised into 15 sections with 6 code examples: a thorough specification that gives an agent plenty to work with.

It has 5 GitHub stars, so there is little community track record yet; judge it on its content.

Substance
29/30
Structure
20/20
Description
15/15
Adoption
3/20
Freshness
11/15

Maintenance, license and trust

  • The repository was last updated about 9 months ago. That is recent enough to be usable, but agent tooling moves fast, so check the instructions against your agent's current version.
  • Our last check on 2026-10-19 found the source still online.
  • It is released under GPL-2.0, a copyleft license: you can use it, but modified versions you distribute must carry the same license.
  • Its trust signals score 86/100, with 2 cautions from licensing, adoption, age or documentation. These come from repository metadata, not a code audit — read the skill file before letting an agent act on it.

Safety scan

No issues found

Our scan of the whole file found no instruction hijacking, hidden characters, credential access, data exfiltration or destructive commands. An AI review of the same text found nothing harmful.

AI review by kimi-k2.7-code on 2026-09-24. Automated pattern scan on 2026-09-24. It catches known dangerous patterns, not every risk — read a skill before letting an agent act on it.

ai-cofounder-skill compared with similar skills

All 4 of these similar skills score higher than ai-cofounder-skill; compare them before choosing.

SkillScoreStarsUpdatedFormat
ai-cofounder-skill (this skill)by ecartz7759mo agoSKILL.md
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headroomby headroomlabs-ai10079.0ktodayCLAUDE.md
CowAgentby zhayujie10047.8ktodayCLAUDE.md

Frequently asked questions

How do I install ai-cofounder-skill?
Run npx skills add ecartz/ai-cofounder-skill. The install tabs above show the steps for each supported agent.
Which AI agents does ai-cofounder-skill work with?
It is written for Claude Code and Gemini CLI, as a SKILL.md file. Other agents that read the same format can often use it too.
Is ai-cofounder-skill safe to use?
Our scan of the whole file found no instruction hijacking, hidden characters, credential access, data exfiltration or destructive commands. An AI review of the same text found nothing harmful. It is GPL-2.0-licensed and scores 86/100 on trust signals. Skills are instructions an agent will follow, so read the file before installing it and do not approve commands you do not understand.
Is ai-cofounder-skill still maintained?
The repository was last updated about 9 months ago. That is recent enough to be usable, but agent tooling moves fast, so check the instructions against your agent's current version.

AI Co-Founder Skill

A cross-platform AI skill that guides founders through a structured discovery process — from raw self-knowledge to validated business directions and startup artifacts. Works with Claude (Tool Use), OpenAI/GPT (Function Calling), and Gemini (CLI Skills).

What It Does

The skill runs a 13-step Founder Discovery Flow organized into 5 phases:

| Phase | Steps | What Happens | |-------|-------|--------------| | Elicitation | 1-4 | Collect skills, interests, experience, constraints | | Inference | 5-8 | Derive customer segments, problems, value proposition, business models | | Synthesis | 9-11 | Generate business directions, evaluate and stress-test the chosen one | | Assessment | 12 | Analyze technical feasibility; optionally refer to a technical co-founder | | Artifacts | 13 | Generate landing page, pitch deck, elevator pitch, competitive analysis, financial sketch |

The agent asks one question at a time, confirms each step with the founder, and passes structured data forward through the pipeline. Founders can backtrack to any earlier step at any time.

Installation

Claude (Claude Code)

Copy the command file into your project:

mkdir -p .claude/commands
cp .claude/commands/cofounder.md YOUR_PROJECT/.claude/commands/

Then invoke with /cofounder in Claude Code.

Alternatively, use the skill directly — the SKILL.md file is a standalone Claude Code skill definition.

OpenAI / GPT

Load the function definitions and system prompt into your assistant or API call:

  • Functions: dist/openai/functions.json — 17 function definitions with strict: true
  • System prompt: dist/openai/agent_prompt.txt — full agent instructions
  • Config (optional): dist/openai/agent_config.json
import json

with open("dist/openai/functions.json") as f:
    tools = json.load(f)

with open("dist/openai/agent_prompt.txt") as f:
    system_prompt = f.read()

# Pass tools and system_prompt to the OpenAI API

Gemini CLI

Install the skill from the Gemini dist directory:

gemini skills install /path/to/ai-cofounder-skill/dist/gemini

The Gemini skill uses a dedicated SKILL.md (dist/gemini/SKILL.md) that performs all analysis conversationally without function calls — Gemini CLI skills don't support tool invocation, so the agent reasons inline instead of calling external functions.

Additional Gemini files (for custom API integrations, not the CLI):

  • dist/gemini/skills.yaml — 17 skill schemas (input + output)
  • dist/gemini/workflow.yaml — 5-phase, 13-step workflow definition
  • dist/gemini/agent_prompt.txt — agent instructions (plain text, markdown stripped)

Usage

Claude Code

Type /cofounder in any Claude Code session where the command file is installed. The agent will open with a greeting and ask about your skills.

You can also trigger the skill naturally by telling Claude something like "I want to figure out what kind of business to start" or "Help me validate a startup idea" — the SKILL.md description tells Claude when to activate.

OpenAI / GPT

Once the functions and system prompt are loaded, start a conversation. The agent responds to any founder-discovery intent. Example opening messages:

  • "I want to explore startup ideas based on my background."
  • "I'm a data scientist with 10 years in healthcare. What should I build?"
  • "Help me figure out what kind of business I should start."

The agent will call the 17 functions in sequence as the conversation progresses. Your application handles the function calls and returns structured JSON matching each function's schema.

Gemini CLI

After installation, the skill activates automatically when Gemini detects a matching intent. Start a conversation:

gemini
> I want to figure out what kind of business to start.

The agent works through all 13 steps conversationally, performing analysis inline rather than via function calls.

Project Structure

ai-cofounder-skill/
  SKILL.md                    # Claude Code skill definition
  agent-prompt.md             # Source agent prompt (all platforms)
  capability-map.json         # Skill graph with categories and data flow
  flow-description.md         # Detailed 13-step flow specification

  schemas/
    src/
      shared_types.json       # 13 shared type definitions
      *.json                  # 16 source schemas (cross-file $ref)
    *.json                    # 17 built schemas (self-contained)

  scripts/
    build-schemas.js          # Resolves $ref, produces self-contained schemas

  dist/
    openai/
      functions.json          # Function definitions (strict: true)
      agent_prompt.txt         # System prompt
      agent_config.json       # Optional config
    anthropic/
      tools.json              # Tool definitions
      agent_prompt.txt         # System prompt
      agent_config.json       # Optional config
    gemini/
      SKILL.md                # Gemini CLI skill (conversational, no function calls)
      skills.yaml             # Skill schemas (for custom API integrations)
      workflow.yaml           # Phase/step workflow (for custom API integrations)
      agent_prompt.txt        # System prompt (plain text)

  .claude/commands/
    cofounder.md              # Claude Code slash command

Build Pipeline

Source schemas in schemas/src/ use cross-file $ref to reference shared types from shared_types.json. The build script resolves these into self-contained schemas:

node scripts/build-schemas.js

This produces 17 JSON files in schemas/ — each with all referenced types copied into its own $defs section. The vendor manifests in dist/ are compiled from these built schemas.

Build flow: schemas/src/*.json + shared_types.json -> scripts/build-schemas.js -> schemas/*.json -> vendor compile -> dist/

17 Tools

| # | Tool | Phase | |---|------|-------| | 1 | collect_skills | Elicitation | | 2 | collect_interests | Elicitation | | 3 | collect_experience | Elicitation | | 4 | collect_constraints | Elicitation | | 5 | infer_customer_segments | Inference | | 6 | infer_problem_statements | Inference | | 7 | infer_value_proposition | Inference | | 8 | infer_business_models | Inference | | 9 | generate_business_directions | Synthesis | | 10 | evaluate_direction | Synthesis | | 11 | evaluate_project | Synthesis | | 12 | assess_technical_needs | Assessment | | 13 | artifact_landing_page | Artifacts | | 14 | artifact_pitch_deck | Artifacts | | 15 | artifact_elevator_pitch | Artifacts | | 16 | artifact_competitive_analysis | Artifacts | | 17 | artifact_financial_sketch | Artifacts |

License

See LICENSE file for details.

Related Skills

View on GitHub
GitHub Stars5
CategoryAI
Updated8mo ago
Forks2

Languages

JavaScript

Trust signals

86/100

From repository metadata: license, adoption, age and documentation. Not a code audit — see the Safety scan above for what the skill file itself contains.

2 low