solanabr/solana-ai-kit

idea-sprint

Find and validate what to build in crypto.

소스 보기

사용 방법

  1. 설치 명령을 복사하고 자신의 에이전트 환경에 설치하기 전에 소스 패키지를 확인하세요.
  2. 필요한 도구, 인증 정보, 지원 환경은 원본 문서에서 확인하세요.
  3. 입력과 원하는 산출물을 설명하고 출처와 결과를 대조하세요.
npx skills add https://github.com/solanabr/solana-ai-kit --skill idea-sprint

시작 전 확인

  • 설치에는 모델 구독, API 한도, 파일 접근 권한이 포함되지 않습니다.
  • 별점 수와 설치 수는 활동 지표이며 독립적인 품질·보안 검증이 아닙니다.
원본 Skill 문서

원본 저장소의 제목, 예시, 코드, 표, 링크, 이미지를 유지해 표시합니다.

<!-- Adapted from sendaifun/solana-new (find-next-crypto-idea, validate-idea), MIT © 2026 SendAI and Superteam. Telemetry removed. -->

Idea Sprint

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.

관련 작업

같은 저장소의 Skills

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