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infinite-gratitude

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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.

Pourquoi l'utiliser

Fonctionnalités clés

Démo en direct

Aperçu en pratique

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

Installation

Dépôt de l’auteur · Documentation officielle des Skills Claude

Cas d'usage

Usages concrets : infinite-gratitude

Tackle a research question single-agent prompts fail on

👤 Researchers, analysts, strategists ⏱ ~60 min advanced

Quand l'utiliser : Questions that need breadth (many sources) and depth (skepticism, synthesis) — where one pass hallucinates.

Déroulement
  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.✓ Copié
    → 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.✓ Copié
    → Substantive critique, not agreement
  3. Final synthesis
    Give me the synthesizer's final artifact with dissent noted.✓ Copié
    → Document with main thesis + minority views preserved

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

Pièges
  • Agents converge and critic rubber-stamps — Prompt the critic explicitly to find flaws; force disagreement
Combiner avec : filesystem

Draft a policy memo with explicit dissenting views

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

Quand l'utiliser : The decision needs to survive scrutiny from people who'll disagree.

Déroulement
  1. Frame the memo
    Use infinite-gratitude. Memo topic: should our engineering org adopt four-day work weeks? Run the full dojo.✓ Copié
    → 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.✓ Copié
    → Main memo + appendix of unresolved concerns

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

Combinaisons

Associez-le à d'autres MCPs pour un effet X10

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.✓ Copié
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✓ Copié

Outils

Ce que ce MCP expose

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

Coût et limites

Coût d'exécution

Quota d'API
None
Tokens par appel
High — 10 agents each doing real work
Monétaire
Free (Claude API usage applies)
Astuce
Use for high-stakes questions only. Single-agent suffices for most research.

Sécurité

Permissions, secrets, portée

Stockage des identifiants : None
Sortie de données : None from skill itself

Dépannage

Erreurs courantes et correctifs

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

Alternatives

infinite-gratitude vs autres

AlternativeQuand l'utiliserCompromis
Single-agent with explicit stepsStraightforward questionsLess depth, cheaper
planning-with-files-skillYou want durable state across long sessions but not multi-roleNo role specialization

Plus

Ressources

📖 Lire le README officiel sur GitHub

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