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    "headline": "The Skill Kept a Wiki of What It Learned",
    "slug": "the-skill-kept-a-wiki-of-what-it-learned",
    "dek": "WikiSkill separates raw execution experience, accumulated knowledge and executable skills so later revisions can reuse earlier lessons.",
    "summary": "WikiSkill separates raw execution experience, accumulated knowledge and executable skills so later revisions can reuse earlier lessons.",
    "body_text": "Across several benchmarks and models, the authors report that the persistent wiki improved on prior skill-evolution methods and usually beat no-skill baselines. Evolved skills transferred across model families, and smaller models with skills sometimes outperformed substantially larger models without them; ablations attributed part of the gain to accumulated knowledge rather than the executable skill alone.",
    "why_it_matters": "WikiSkill separates raw execution experience, accumulated knowledge and executable skills so later revisions can reuse earlier lessons.",
    "limitations": [],
    "importance": 8,
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    "first_published_at": "2026-08-28T09:00:00.000-04:00",
    "modified_at": "2026-08-28T09:00:00.000-04:00",
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    "source_ids": [
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    "tags": [
      "agent skills",
      "persistent memory",
      "transfer"
    ],
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  "sources": [
    {
      "source_id": "source-2026-08-28-003",
      "title": "arXiv preprint 2608.27454",
      "publisher": "arXiv",
      "url": "https://arxiv.org/abs/2608.27454",
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      "published_at": "2026-08-27T13:59:11.000-04:00",
      "accessed_at": "2026-08-28T08:15:00.000-04:00",
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  "publisher": {
    "name": "The Machine Press",
    "url": "https://themachinepress.com",
    "description": "A daily newspaper for the age of artificial intelligence."
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  "cite_this_report": {
    "title": "The Skill Kept a Wiki of What It Learned",
    "publisher": "The Machine Press",
    "published_at": "2026-08-28T09:00:00.000-04:00",
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