caixinyu2017-star/xixi/abstract

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Reads the manuscript and notebooks to generate a structured abstract. Use when writing or updating the abstract.

Install

npx vskill@latest install caixinyu2017-star/xixi/abstract

SKILL.md

The same SKILL.md was published earlier as gaoxingkele/mylib/abstract.

Generate Abstract

Read the manuscript and generate a structured abstract.

Arguments

  • $ARGUMENTS — optional target word count (default: 150 words)

Steps

  1. Parse the target word count from arguments (default 150 if not specified).
  1. Read index.qmd in full:
  • Identify the research question from the Introduction
  • Identify the data and methods from the Data/Methods sections
  • Identify key results from the Results section
  • Identify the contribution from the Conclusion
  1. Read the registered notebooks to extract key quantitative findings:
  • Main coefficient estimates and significance levels
  • Sample size
  • Key figures or descriptive statistics
  1. Draft a structured abstract with these components:
  • Motivation (1–2 sentences): What problem or question does this paper address? Why does it matter?
  • Data and methods (1–2 sentences): What data, sample, and empirical approach are used?
  • Key results (2–3 sentences): What are the main findings? Include specific numbers where possible.
  • Contribution (1 sentence): What is the paper's contribution to the literature or policy?
  1. Verify the word count is within ±10% of the target. Adjust if needed.
  1. Present the draft to the user for review.
  1. On approval, update the abstract: field in the YAML front matter of index.qmd:

``yaml abstract: | <drafted abstract text> ``

Error handling

  • If index.qmd has only [FILL:] placeholders in the body sections, inform the user that the manuscript needs more content before an abstract can be generated.
  • If the current abstract field already contains real content (not a [FILL:] placeholder), show it and ask whether to replace or refine it.

Security

  • Security scanPassed, 90 of 100Pattern checks on the skill's files.
  • Model reviewPassed

Quality evaluation

  • Task evaluationNot runNo evaluation yet. Run one in Skill Studio.

Source

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