AgentSkillsCN

core-qna-synthesis

针对多部分问题进行优化，并辅以实用指导予以解答。

SKILL.md
--- frontmatter
name: core-qna-synthesis
description: Refine multi-part questions and answer them with practical guidance.
version: 0.2.0

Interpretive Q&A Synthesis

Repo anchors (autocodex)

  • •CLI_PATH: cmd/autocodex/
  • •INTERNAL_PATH: internal/
  • •DOCS_PATH: docs/
  • •SKILLS_PATH: skills/

When to use

  • •The user asks multiple related questions or a vague “big” question.

Preconditions

  • •The questions are visible in the thread.
  • •If critical inputs are missing, STOP and use core-ask-questions-if-underspecified.

Inputs to confirm

  • •Primary goal and success criteria
  • •Constraints (time, environment, tooling)

Required artifacts

  • •Refined question list
  • •Practical answers with explicit assumptions
  • •Recommended next steps

Quick path

  • •Restate and cluster questions.
  • •Add missing questions.
  • •Answer with assumptions and tradeoffs.
  • •Provide 3–7 concrete next steps.

Steps

  1. •Restate and group questions.
  2. •Expand missing-but-required questions.
  3. •Answer each question clearly.
  4. •Provide recommendations and next steps.

Failure modes and responses

  • •Over-expansion: keep added questions minimal.
  • •Abstract answers: replace with concrete actions.

Definition of done

  • •Questions are refined and answered with practical guidance.

Example (minimal)

  • •Input: “How should the plugin system work?”
  • •Output: Protocol choice, manifest rules, call flow, and next steps.