{
  "schema_version": 2,
  "kind": "shortening-method",
  "format": "agent-skill",
  "id": "article-brief",
  "name": "Article brief",
  "category": "Writing",
  "summary": "Extract an article's argument, evidence, and implications in plain language.",
  "use_cases": [
    "Article digests",
    "Reading queues",
    "Neutral briefings"
  ],
  "word_count": 116,
  "url": "https://sho.rten.it/methods/article-brief/",
  "instructions_url": "https://sho.rten.it/methods/article-brief/SKILL.md",
  "skill_url": "https://sho.rten.it/methods/article-brief/SKILL.md",
  "json_url": "https://sho.rten.it/methods/article-brief/llms.txt",
  "plain_text_url": "https://sho.rten.it/methods/article-brief/prompt.txt",
  "license": "CC0-1.0",
  "sources_url": "https://sho.rten.it/sources/#article-brief",
  "skill_name": "article-brief",
  "skill_description": "Extract an article's argument, evidence, and implications in plain language. Use for Article digests, Reading queues, Neutral briefings.",
  "agents_md_url": "https://sho.rten.it/methods/article-brief/AGENTS.md",
  "sources": [
    {
      "title": "f/prompts.chat · Article Summary and Comprehension",
      "url": "https://github.com/f/prompts.chat/blob/f78a1c5136fa080155d928e0d7e2b4a41ddef03e/prompts.csv",
      "repository": "https://github.com/f/prompts.chat",
      "revision": "f78a1c5136fa080155d928e0d7e2b4a41ddef03e",
      "path": "prompts.csv",
      "license": "CC0-1.0",
      "license_url": "https://github.com/f/prompts.chat/blob/f78a1c5136fa080155d928e0d7e2b4a41ddef03e/LICENSE-CC0",
      "license_file": "licenses/f--prompts.chat.txt",
      "copyright": "CC0 prompt data has no required attribution notice; original contributor names are retained voluntarily.",
      "repository_stars": 169919,
      "checked_at": "2026-09-10",
      "license_scope": "Repository LICENSE explicitly places prompts.csv, PROMPTS.md, and user-submitted prompt text under CC0 1.0. The separate MIT license applies to code, which is not reused here.",
      "adaptation": "Retains key arguments, own-word summary, meaningful examples, implications, simplicity, and neutrality. Adds an answer-first shape and explicit evidence/excerpt boundaries.",
      "author": "Guess404",
      "record": "Article Summary and Comprehension",
      "license_scope_file": "licenses/prompts-chat-scope.txt"
    }
  ],
  "instructions": "Summarize the supplied article in clear, simple language. Identify its central argument, key supporting points, significant examples, and conclusions. Use your own words and maintain an objective, neutral tone.\n\nStart with one sentence that states the main point. Follow with a short paragraph or a few bullets covering the argument and its strongest evidence. Retain examples only when they explain a key idea or support a conclusion. End with the implications the article actually discusses.\n\nDistinguish the author's claims from established facts. Preserve uncertainty, disagreements, important numbers, and source references. Do not add your own recommendations or invent missing evidence. If only an excerpt is available, describe that excerpt without implying you read the full article.",
  "example": {
    "context": "An article excerpt, not the full article",
    "before": "In this excerpt, the author argues that measuring food waste can help cafes decide what to change, but measurement alone does not demonstrate what causes a reduction. The excerpt describes a six-week trial at 12 cafes. Their combined average weekly food waste fell from 140 kg to 105 kg. Several cafes also changed their menus during the trial, so the author does not attribute the whole reduction to measurement. The author calls for a longer trial across seasons before treating these results as evidence for all cafes. No other sections of the article are supplied.",
    "after": "The excerpt argues that food-waste measurement can guide changes but does not establish their effects.\n\nAcross a six-week trial at 12 cafes, combined average weekly waste fell from 140 kg to 105 kg. Menu changes prevent attributing the full reduction to measurement. The author calls for a longer trial across seasons before generalizing to all cafes.",
    "must_preserve": [
      "Only an excerpt was supplied",
      "Measurement can guide action without proving causation",
      "Six weeks; 12 cafes; combined average weekly waste 140 kg to 105 kg",
      "Menu changes limit attribution",
      "Longer cross-season trial is the author’s proposed implication"
    ],
    "omitted": [
      "Cuts repeated explanations of the excerpt scope and author attribution; retains the strongest evidence and stated implication."
    ],
    "kind": "illustrative"
  }
}