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Acting on Hypotheses

Agent skill
1 skill

Operational discipline for open-ended, uncertain, or ambitious work, distilled from 馬田隆明『仮説行動』 (マップ・ループ・リープ / Map-Loop-Leap). Forces an agent to neither freeze / over-ask / collect-more until "certain", nor big-bang on unvalidated assumptions: frame explicit hypotheses (Map), run the single cheapest test that could PROVE YOU WRONG (Loop), commit boldly only where the map shows asymmetric, ideally-reversible upside (Leap). Use whenever the answer cannot be fully known by understanding what already exists — you must ACT to learn or to create it: de-risking an approach, deciding what to build/try next under uncertainty, spiking/prototyping to decide, choosing whether to commit to X, sizing a bet, or setting a kill condition. Trigger on: 仮説検証 (of a FORWARD bet / an outcome you must ACT to learn — NOT verifying a present fact, which is raising-resolution), 仮説行動, マップ・ループ・リープ, 学びの最大化, 確信度 / 影響度, 不確実 / uncertainty, 実験 / experiment, 大胆 / 賭け / bet, ピボット / pivot, 撤退条件 / kill condition, de-risk / validate the approach, spike / prototype to decide, MVP, build-measure-learn, "will this scale", "should we commit to X", "approach に賭けるべきか". DOES NOT fire on understanding a present, knowable-but-blurry reality (unclear bug, vague spec, unfamiliar codebase, "what do users do today") → that is raising-resolution. This skill is English; respond to the user in their language (default Japanese).

Install with
Claude CodeCodexCursorGitHub CopilotGemini CLI

Supported by the Atlas install prompt. Skill-specific requirements vary.

Skill stats

Skills1CategoryScience & researchStars0

About this skill

Operational discipline for open-ended, uncertain, or ambitious work, distilled from 馬田隆明『仮説行動』 (マップ・ループ・リープ / Map-Loop-Leap). Forces an agent to neither freeze / over-ask / collect-more until "certain", nor big-bang on unvalidated assumptions: frame explicit hypotheses (Map), run the single cheapest test that could PROVE YOU WRONG (Loop), commit boldly only where the map shows asymmetric, ideally-reversible upside (Leap). Use whenever the answer cannot be fully known by understanding what already exists — you must ACT to learn or to create it: de-risking an approach, deciding what to build/try next under uncertainty, spiking/prototyping to decide, choosing whether to commit to X, sizing a bet, or setting a kill condition. Trigger on: 仮説検証 (of a FORWARD bet / an outcome you must ACT to learn — NOT verifying a present fact, which is raising-resolution), 仮説行動, マップ・ループ・リープ, 学びの最大化, 確信度 / 影響度, 不確実 / uncertainty, 実験 / experiment, 大胆 / 賭け / bet, ピボット / pivot, 撤退条件 / kill condition, de-risk / validate the approach, spike / prototype to decide, MVP, build-measure-learn, "will this scale", "should we commit to X", "approach に賭けるべきか". DOES NOT fire on understanding a present, knowable-but-blurry reality (unclear bug, vague spec, unfamiliar codebase, "what do users do today") → that is raising-resolution. This skill is English; respond to the user in their language (default Japanese).

Quick start

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Review, license & listing details
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0 potential findings · Scanned 11/4/2026 · Scanner 0.2.1

Content SHA-256: 3f2312367e841299cc724f4c8214d53500355666fffeafc850f62929af8c2cac

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About this listing

Category
Science & research
Reported license
Not specified
Listing language (estimated)
English
Review status
Not individually reviewed
Agent compatibility
Atlas installation supports Claude Code, Codex, and Cursor. Skill-specific dependencies and features are checked during setup.
Acting on Hypotheses | Agent Skills Atlas