Idea Sprint

SkillCommerce & finance

Find and validate what to build in crypto. Use when the user asks "what should I build", "validate this idea", "is this worth building", "find me a startup idea", "crypto idea", or wants blunt feedback on a project concept before writing code.

Available today. Use it from your connected AI after setup.

Connect ahel once, and every AI you use reads what you have installed.

Then ask your AI: use the Idea Sprint skill

What this skill tells your AI

The instructions your AI receives, as published by solanabr/solana-ai-kit in .claude/skills/idea-sprint/SKILL.md and read by ahel’s review.

Interview → necessity gate → 3 candidates → score → go/no-go. Output is a decision, not a brainstorm.

Context handoff

  • At start: read .claude/context/idea.md and .claude/context/build.md if present — resume from prior state instead of re-interviewing.
  • On completion: write/update .claude/context/idea.md with the chosen idea, scores, validation evidence, and open risks. Downstream skills (pitch-deck, hackathon) read it.

Workflow

1. Blunt interview

No flattery. Short, pointed questions, one at a time, until three things are explicit:

  • Edge — what the founder knows/can do that most can't (domain, distribution, tech)
  • Constraint — time, money, team, chain commitments
  • Wedge — the niche entry point, not the end-state vision

Push back on vague answers. "DeFi for everyone" is not a wedge. Full question bank: interview-framework.md.

2. Crypto-necessity gate

Kill question: "What gets worse if I remove the blockchain?" If the answer is vague, aesthetic, or marketing-driven — redirect the idea before scoring it. Pass criteria and redirect patterns: crypto-necessity-test.md.

3. Exactly 3 candidates

Generate three diverse candidates (different mechanisms/markets, not three flavors of one idea). For each:

  • One-line pitch + target user
  • Winner case — what's true in 18 months if it works
  • Bear case — the most likely way it dies

Seed from datasets + live landscape (below), then combine with fresh research. Datasets are inspiration, not constraints.

4. Score /15

Each candidate, 0–3 per dimension (full anchors: scoring-rubric.md):

Dimension3 means
Founder fitunfair advantage
MVP speedshippable in under a week
Distributionfirst ten users are obvious
Market pullpeople already paying for bad alternatives
Revenue pathclear monetization story

5. Validate + go/no-go

Check demand signals against customer-signal-rubric.md — manual workarounds, active forks, bounties, on-chain activity = real; likes and "cool idea" replies = noise. Sprint structure: validation-framework.md.

  • ≥ 8/15 → go. Write idea.md, suggest /scaffold next.
  • 6–7 → conditional: name the one dimension to de-risk first.
  • < 6 → strong no-go. Every no-go gets a pivot suggestion — use pivot-or-persist.md.

6. Write .claude/context/idea.md

Chosen idea, wedge, scores table, demand evidence, bear case, next step.

Idea datasets (inert JSON, ~515 entries)

In ../ext/solana-new/skills/data/ideas/:

Idea-source guides (markdown commentary on the same sources): ../ext/solana-new/skills/data/guides/ — plus source-map.md and research-playbook.md for where/how to research live.

Live hackathon landscape

ext/colosseum — 5,400+ Colosseum submissions for crowdedness checks, winner patterns, and gap analysis (requires COLOSSEUM_COPILOT_PAT).

Output format

Report spec (3 ranked candidates, scores, decision): output-spec.md.

Signals

GitHub stars
101
Forks
59
Last commit
Aug 2026
Advanced
Catalog kind
skill
Gateway key
idea-sprint
Source
github.com/solanabr/solana-ai-kit