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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.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

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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:

  1. Test the highest-risk claim or clearly state why it remains untested.
  2. Seek disconfirming evidence, not only supporting examples.
  3. Match verification effort to blast radius and reversibility.
  4. Report actual commands, sources, artifacts, or observations used.
  5. Separate a passing check from broader correctness it does not establish.
  6. 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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같은 저장소의 스킬

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한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

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한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

gabrielmoreira/agent-skills-mirror192026년 10월 20일 업데이트

adapt

무료

Shortest English alias for web-adapt / universal-web-adaptation. Use this when adapting an unfamiliar public website generically before creating any site-specific rules.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

gabrielmoreira/agent-skills-mirror192026년 10월 20일 업데이트

Use this skill to audit CLI adapter projects (like opencli) for missing output fields, then batch-generate fixes and submit PRs. Turns AI agents into adapter quality reviewers.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

gabrielmoreira/agent-skills-mirror192026년 10월 20일 업데이트

ads

무료

Operate professional paid advertising across Google, Meta, YouTube, LinkedIn, TikTok, Microsoft, Apple, Amazon, Reddit, Pinterest, Snapchat, and X. Use for account intake, source-grounded audits, strategy, budget and measurement planning, creative production, experiments, reporting, monitoring, and explicitly approved campaign changes. Also trigger on PPC, paid social, retail media, attribution, tracking, landing pages, cross-platform conversion totals, negative keywords or search terms, beta-feature scoring, stale platform claims, API-token or credential setup, campaign deletion, and safe Claude Ads installation or uninstall.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

gabrielmoreira/agent-skills-mirror192026년 10월 20일 업데이트

Audit Amazon Ads profiles, regions, Sponsored Products, Sponsored Brands, Sponsored Display, DSP, portfolios, targeting, search terms, retail readiness, creative, budgets, ACOS, TACOS, reporting, and policy. Use for Amazon Ads, sponsored ads, Amazon PPC, ACOS, TACOS, ASIN advertising, Amazon DSP, or retail-media optimization.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

gabrielmoreira/agent-skills-mirror192026년 10월 20일 업데이트

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