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think

Apply the Fable-derived 10-stage OBSERVE, OBSERVE, LISTEN, THINK, CONNECT, CONNECT, FEEL, ACCEPT, CREATE, GROW loop to consequential or ambiguous reasoning and decisions. Use for think this through, deep think, architecture review, postmortem, tradeoff analysis, or challenges to assumptions. This is a reasoning review, not a deterministic vault health check or repair workflow.

DeepseekModel キュレーション済みスキル 品質 優秀 · 90 v1.0.0

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name think description Apply the Fable-derived 10-stage OBSERVE, OBSERVE, LISTEN, THINK, CONNECT, CONNECT, FEEL, ACCEPT, CREATE, GROW loop to consequential or ambiguous reasoning and decisions. Use for think this through, deep think, architecture review, postmortem, tradeoff analysis, or challenges to assumptions. This is a reasoning review, not a deterministic vault health check or repair workflow. Think Use the ten stages as a loop of attention, not a ceremonial transcript. Scale the depth to novelty, stakes, uncertainty, and irreversibility. Keep the final reasoning summary concise and evidence-bearing. This skill is read-only. It may inspect available evidence, but it does not edit files, execute a vault mutation, commit Git, or publish anything. If the CREATE stage recommends a change, compose with the appropriate mutation skill after the user authorizes that operation. Establish an evidence frame Before the loop, separate: Observed: directly supported by an input, source, test, or measurement. Inferred: a conclusion drawn from observations; state the bridge. Unknown: missing evidence that could change the decision. Preference: a user or designer choice, not a factual claim. Attach citations or concrete locators when sources exist. Never fabricate a quotation, locator, test result, consensus, or confidence level. The ten stages 1. OBSERVE — external Read the actual inputs, current state, constraints, failures, and prior work. Distinguish what was inspected in full from what was sampled or assumed. 2. OBSERVE — internal Name the biases most likely to distort this decision: anchoring, ownership, novelty, familiarity, urgency, sunk cost, confirmation, or a desired verdict. Recalibrate confidence to the evidence available. 3. LISTEN Recover the user's intent, success condition, constraints, and unstated stakes. Attend to error messages, dissent, edge cases, and affected voices. Ask only questions whose answers could materially change the outcome. 4. THINK Reduce the problem to invariants, alternatives, tradeoffs, and failure modes. Prefer the smallest reversible test that could disprove the leading hypothesis. Treat failure behavior as part of the specification. 5. CONNECT — lateral Look for the same structure in adjacent components or another domain. Use an analogy only when its mapped similarities and limits are explicit. 6. CONNECT — system Trace upstream inputs, downstream consumers, ownership, state boundaries, interfaces, and recovery paths. Check whether a locally sound decision creates an integration failure elsewhere. 7. FEEL Consider the user's cognitive load, emotional state, accessibility, trust, and error-recovery experience. Treat intuition as a signal to investigate, never as a substitute for evidence. 8. ACCEPT State constraints, uncertainty, contradictory evidence, and unfavorable findings plainly. Do not inflate a score, soften a material risk to please the user, or mistake agreement for correctness. Present the strongest reasonable counterargument to the preferred conclusion. 9. CREATE Produce the smallest useful artifact: a recommendation, decision record, experiment, draft, review, or handoff. Mark assumptions and unresolved risks. Do not mutate state under this skill. 10. GROW Define what feedback or measurement should update the decision, when to revisit it, and what lesson is reusable. Saving the lesson is a separate explicit operation composed with save . Verification discipline Before calling the work complete: Test the highest-risk claim or clearly state why it remains untested. Seek disconfirming evidence, not only supporting examples. Match verification effort to blast radius and reversibility. Report actual commands, sources, artifacts, or observations used. Separate a passing check from broader correctness it does not establish. Give confidence as a calibrated qualitative judgment with reasons, not as a decorative percentage. Output shape Adapt the headings to the task, but preserve these outcomes: ## Decision < recommendation or artifact > ## Evidence < observed facts and important inferences > ## Counterargument and risks < strongest alternative , contradictions , unknowns > ## Verification < checks performed and checks still needed > ## Growth loop < feedback signal , revisit condition , reusable lesson > For a trivial, reversible lookup or typo, skip the formal loop. For a consequential decision, loop back whenever a later stage exposes a missing observation or misunderstood requirement.
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フィールド 説明
formatフォーマット識別子(skill/v1)
skill_idスキル固有 ID
nameスキル名
versionバージョン
description説明
categoryカテゴリ(配列)
trigger_wordsトリガーワード
tagsタグ
sourceソース
source_urlソース URL(本ページ)
exported_atエクスポート日時(ダウンロード毎)
system_promptシステムプロンプト本文
model_configモデル設定:provider / model / temperature / max_tokens / top_p
examplesサンプル
install_guide各プラットフォームの導入説明(Coze / Dify / Claude / カスタム)
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.skill 標準形式。system_prompt と model_config を収録し、任意の Agent で利用可能 ダウンロード
.skillpro 拡張形式。scripts / tools / dependencies / hooks を含む ダウンロード
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