LaunchKit · 2026
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solo-validate

Score startup idea through S.E.E.D. niche check + STREAM 6-layer analysis + Devil's Advocate inversion, auto-pick.

0
411 downloads
by @fortunto2

Setup & Installation

openclaw skills install @fortunto2/solo-validate

Or with the ClawHub CLI, for registry-managed skill folders outside a full OpenClaw workspace:

npx clawhub install solo-validate

Version History

v2.1.1Feb 21, 2026 - Version note by skill developer:

Universalize: remove project-specific references, add SearXNG recommendation

What This Skill Does

Validates startup ideas through a structured multi-stage pipeline: S.E.E.D. niche scoring, a mandatory Devil's Advocate inversion that actively searches for reasons to kill the idea, and a STREAM 6-layer analysis. Outputs a scored recommendation (go/kill/pivot) and generates a PRD with acceptance criteria and both optimistic and pessimistic unit economics.

Combines niche viability checks, dead startup research, and unit economics stress-testing in one automated pass instead of three separate manual steps.

When to use it

  • Deciding whether to build a SaaS tool before writing a single line of code
  • Comparing two competing ideas to pick which one to pursue
  • Getting a ready-to-hand-off PRD before bringing in a developer
  • Stress-testing a friend's startup pitch with honest scoring instead of encouragement
  • Validating a pivot direction after an early product fails to gain traction

Example Workflow

Here's how your AI assistant might use this skill in practice.

INPUT

User asks: validate my idea for an AI resume screener for small HR teams

AGENT
  1. 1Searches knowledge base and web for related prior work and failed competitors
  2. 2Runs S.E.E.D. check to score searchability, evidence of real pain, MVP ease, and demand
  3. 3Runs Devil's Advocate step: lists 5 specific failure scenarios and searches for startups that shut down in this space
  4. 4Runs STREAM 6-layer analysis with both optimistic and pessimistic unit economics
  5. 5Auto-detects stack as nextjs-supabase based on product type, then writes PRD to docs/prd.md
OUTPUT

S.E.E.D. scores, manifest alignment summary, optimistic score 7/10, realistic score 5/10, top kill risk identified as funded ATS incumbents already adding AI screening, PRD written with acceptance criteria and kill/iterate/scale thresholds