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Neo clarification

Skill Benknightdark/neo-skills/skills/neo-clarification

Use this skill when the user gives vague, emotional, fragmented, screenshot-based, or complaint-style requirements and wants them converted into structured specs, acceptance criteria, or clarifying questions.From its SKILL.md

Install
npx -y skills add Benknightdark/neo-skills --skill neo-clarification

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

2 things to look at

  • 7 stars7 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.
  • runs commandsInstructs the agent to run 1 command, including `uv run skills/neo-clarification/scripts/validate-requirements.py -i <path_to_saved_report>`.

SKILL.md

3.2 KB, 666 tokens by cl100k_base, as published. Nobody here has run it

Requirement Clarification Specifications

Apply the Inversion & Generator Pattern. Follow this protocol strictly to translate raw, chaotic user complaints and screenshots into clean, structured system specifications.


1. Perceive Phase

  1. Information Extraction:

    • Carefully read the user's text and inspect any attached screenshots or logs.
    • Filter out emotional noise, frustrations, and blame.
    • Separate objective facts (what is currently happening or visible) from user expectations (what they wanted to accomplish).
  2. Identify System Boundaries:

    • Determine the scope, domain, and potential technical layers affected by the feedback (e.g., frontend rendering, network APIs, database states, permission groups).

2. Reason Phase

  1. Load Analysis Framework:

    • Always read the external analysis guide before starting your deduction: 5w1h-framework.md
  2. Context Reconstruction (5W1H):

    • Map the extracted facts to the 5W1H framework (Who, Where, When, What, Why, How).
    • Formulate logical hypotheses on the root causes of UI anomalies or system behaviors.
  3. Identify Gaps:

    • Pinpoint critical missing information (e.g., browser environment, specific action steps, parameters, error logs).
    • Prepare a list of clarifying questions to ask the user.

3. Act Phase

Generate a structured "Requirement Translation and Clarification Report" strictly in Traditional Chinese (Taiwan). Follow these steps:

  1. Load Output Template:

  2. Compile the Report:

    • Fill in the template using Traditional Chinese.
    • Context Restoration: Present objective facts concisely without emotional adjectives.
    • User Story: Use the strict format: "身為... 我想要... 以便於..."
    • System Requirements & Hypotheses: Highlight key rendering, API, and validation checkpoints for the development team.
    • Open Questions: List between 2 and 10 polite, precise, and constructive clarifying questions.
  3. Self-Validation:

    • Proactively validate your report using the non-interactive python script:
      uv run skills/neo-clarification/scripts/validate-requirements.py -i <path_to_saved_report>
      
      (Or verify mentally that all sections exist and the number of questions is between 2 and 10 before final output).

4. Communication Guidelines

  • Maintain Empathetic Neutrality: Acknowledge the user's difficulty, but never agree that the system is "broken" or "a disaster" in the official report. Use neutral, objective descriptions.
  • Strictly No Guesswork: Do NOT invent features that the user did not hint at. Ask clarifying questions instead.

What ships with it: 5 files

12.7 KB alongside SKILL.md, 1 of them executable

evals/

references/

scripts/

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Skills are one crate of 325,949. Ordering is by how many stacks a row turns up in, so the top of any crate is what has actually been picked rather than what has the most stars.