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infinite-gratitude

제작: sstklen · sstklen/infinite-gratitude

10 specialized agents collaborate on one research question — a multi-agent research dojo where each agent plays a distinct role.

Part of the 'AI Dojo' series. Spawns 10 agents with different roles (explorer, critic, synthesizer, etc.) that collaborate on a research task. Each agent commits its piece and the skill coordinates the handoffs — designed for tough research questions where one-shot prompting falls flat.

왜 쓰나요

핵심 기능

라이브 데모

실제 사용 모습

infinite-gratitude-skill.replay ▶ 준비됨
0/0

설치

작성자 저장소 · Claude Skills 공식 문서

사용 사례

실전 활용법: infinite-gratitude

Tackle a research question single-agent prompts fail on

👤 Researchers, analysts, strategists ⏱ ~60 min advanced

언제 쓸까: Questions that need breadth (many sources) and depth (skepticism, synthesis) — where one pass hallucinates.

흐름
  1. Pose the question
    Use infinite-gratitude. Research question: what are the real bottlenecks in scaling post-transformer architectures in 2026? Run the 10-agent dojo.✓ 복사됨
    → Roles spin up: explorer, critic, synthesizer, etc., each producing a distinct contribution
  2. Watch the handoffs
    Show me the critic's pushback on the explorer's output.✓ 복사됨
    → Substantive critique, not agreement
  3. Final synthesis
    Give me the synthesizer's final artifact with dissent noted.✓ 복사됨
    → Document with main thesis + minority views preserved

결과: A research brief richer than a single-agent answer.

함정
  • Agents converge and critic rubber-stamps — Prompt the critic explicitly to find flaws; force disagreement
함께 쓰기: filesystem

Draft a policy memo with explicit dissenting views

👤 Policy wonks, internal strategy teams ⏱ ~90 min advanced

언제 쓸까: The decision needs to survive scrutiny from people who'll disagree.

흐름
  1. Frame the memo
    Use infinite-gratitude. Memo topic: should our engineering org adopt four-day work weeks? Run the full dojo.✓ 복사됨
    → Multi-perspective outputs on pros, cons, empirical evidence, implementation risks
  2. Extract the dissent
    Keep the critic's dissent intact as an appendix; don't blend it away.✓ 복사됨
    → Main memo + appendix of unresolved concerns

결과: A memo your skeptics can see was genuinely considered.

조합

다른 MCP와 조합해 10배 효율

infinite-gratitude-skill + paper-fetch-skill

Explorer agent downloads papers; synthesizer cites them

Run the dojo on [topic] and use paper-fetch-skill for the explorer's sources.✓ 복사됨
infinite-gratitude-skill + filesystem

Save each agent's output as its own file for traceability

Persist each agent's contribution to research/session-<date>/<role>.md✓ 복사됨

도구

이 MCP가 노출하는 것

도구입력언제 호출비용
dojo_run question, optional agent roster Big, ambiguous questions 0 (but high token use)
single_agent role name, task Just one role needed 0

비용 및 제한

운영 비용

API 쿼터
None
호출당 토큰
High — 10 agents each doing real work
금액
Free (Claude API usage applies)
팁
Use for high-stakes questions only. Single-agent suffices for most research.

보안

권한, 시크릿, 파급범위

자격 증명 저장: None
데이터 외부 송신: None from skill itself

문제 해결

자주 발생하는 오류와 해결

Dojo feels repetitive

Agents may be blending; enforce distinct perspectives in prompts

Runs out of context mid-session

Save intermediate outputs to disk and resume fresh; don't carry everything in one session

대안

infinite-gratitude 다른 것과 비교

대안언제 쓰나단점/장점
Single-agent with explicit stepsStraightforward questionsLess depth, cheaper
planning-with-files-skillYou want durable state across long sessions but not multi-roleNo role specialization

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리소스

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