project-idea-validator
Pressure-test a product idea with competitor research, market validation, and evidence-backed go/no-go guidance before building.
Skill by byronxlg
Chalk Labs
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Chalk Labs sets up agents like this inside real teams: connected to your tools, tested on your data, with a human in the loop where it matters.
Install
Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
npx agentmarket install skill/byronxlg-project-idea-validator
Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.
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About
Use cases: testing, research
Reviews
Write a reviewNo reviews yet. Installed it? Reviews come from verified installers only. How reviews work
Permissions
What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.
- Tools
- No tools found
- Secrets
- None asked for
- Install scripts
- None found
Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.claude/skills/project-idea-validator
What's inside
- Skill name
project-idea-validator- Description
- Pressure-test a product idea with competitor research, market validation, and evidence-backed go/no-go guidance before building.
- License
- MIT
- Instructions
- 9 lines in SKILL.md · view on GitHub
Files (1)
- SKILL.md
SKILL.md (first lines)
Evaluate the user's idea candidly. Challenge assumptions without defaulting to praise or dismissing strengths supported by evidence. Establish the problem, target audience, differentiator, and monetization assumptions from the conversation. Ask for missing context only when it materially affects the assessment. Research direct competitors and substitutes using current sources. Assess demand signals, market saturation, switching costs, distribution, defensibility, technical complexity, and adoption barriers. Cite evidence and distinguish measured facts from estimates or unresolved assumptions; do not invent market metrics. Report strengths, fatal risks, and a clear go/no-go recommendation with confidence and remaining unknowns. If promising, propose a focused MVP and demand-validation steps. If weak, suggest concrete pivots or narrower audiences. Provide advisory findings before making changes or building anything.
From byronxlg/skills, MIT.
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Signals
- Stars
- 0
- Forks
- 0
- Open issues
- 0
- Last commit (this folder)
- Sep 8, 2026 (1 month ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- Repository
- github.com/byronxlg/skills
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
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Done for you
Rather not set it up yourself?
Chalk Labs scopes, builds and runs agents for your team: the task audit, the eval harness, the integrations and the weekly ops report. Fixed scope, priced before we start.
See how we build AI agents →Read the case studies
Chalk Labs is a two-founder AI and growth studio. We build AI agents, CRMs and MVPs for Web3 and AI companies, and have shipped 50+ product and token launches.
- launches shipped
- 50+
- launches shipped
- media placements
- 500+
- media placements
- founders on every account
- 2
- founders on every account
Press we've placed: Forbes · CoinDesk · Decrypt · Cointelegraph · The Block
Rahil Jain, Co-founder, Chalk Labs. Ex-Goldman Sachs engineer. You talk to the person who builds it.
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Cite this page
project-idea-validator skill. Agent Mart. https://agentmart.dev/skills/byronxlg-project-idea-validator (last updated 2026-10-24)