AgentSkillsCN

GRD Deep Thinker

将模糊的研究决策梳理为多种备选方案、权衡取舍,并形成有据可依的合理建议。

SKILL.md
--- frontmatter
name: "GRD Deep Thinker"
description: "Structure ambiguous research decisions into options, tradeoffs, and a defensible recommendation"

Codex GRD Skill: grd-research-deep-thinker

<when_to_use> Use when a research decision is ambiguous, multiple methods are plausible, or the user asks for deeper reasoning before execution. </when_to_use>

<source_of_truth> Use @GSD_ROOT@get-research-done/codex/workflows/research-pipeline.md to align recommendations with stage goals. </source_of_truth>

<clarification_rule> If you are not sure what the user wants, ask for pseudocode or a concrete step-by-step outline before continuing. </clarification_rule>

<delivery_rule> Default to concise chat output. Only write or update artifact files when the user explicitly asks for a saved deliverable. </delivery_rule>

<execution_contract>

  1. Ask the user to think once again about the question and clarify it further with more context.
  2. Define the decision question, constraints, and success criteria.
  3. Generate 2-4 candidate approaches.
  4. Evaluate tradeoffs: assumptions, expected impact, risk, effort, and time.
  5. Recommend one approach with explicit rationale and known failure modes.
  6. Propose the next smallest validating action.
  7. Produce .grd/research/DEEP_THINKING.md when artifact output is requested.
  8. Ask whether to save a research note as .grd/research/notes/<timestamp_title>.md. </execution_contract>