Fill in the per-paper TODO sections of research-wiki/papers/<slug>.md pages that literature-ingest skills leave as bare…
Part of ARIS
by wanshuiyin· ResearchUnclaimed · Yours? Claim it
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Fill in the per-paper TODO sections of research-wiki/papers/<slug>.md pages that literature-ingest skills leave as bare scaffolds. Use when user says 'enrich wiki', 'fill paper TODOs', 'wiki body 補完', '把 paper 摘要寫進 wiki', 'research-wiki 自動填', or after a batch ingest that left papers/ as TODO scaffolds.
Skills people install alongside wiki-enrich.
Runs on your machine.
Runs on your machine.
Runs on your machine.
Runs on your machine.
npx -y degit wanshuiyin/Auto-claude-code-research-in-sleep/skills/skills-codex/wiki-enrich ~/.copilot/skills/wiki-enrich
Runs on your machine.
npx -y degit wanshuiyin/Auto-claude-code-research-in-sleep/skills/skills-codex/wiki-enrich ~/.cursor/skills/wiki-enrich
Runs on your machine.
npx -y degit wanshuiyin/Auto-claude-code-research-in-sleep/skills/skills-codex/wiki-enrich ~/.claude/skills/wiki-enrich
/plugin marketplace add wanshuiyin/Auto-claude-code-research-in-sleep /plugin install aris@aris
Runs on your machine.
npx -y degit wanshuiyin/Auto-claude-code-research-in-sleep/skills/skills-codex/wiki-enrich ~/.agents/skills/wiki-enrich
Runs on your machine.
Runs on your machine.
npx -y degit wanshuiyin/Auto-claude-code-research-in-sleep/skills/skills-codex/wiki-enrich ~/.gemini/skills/wiki-enrich
Runs on your machine.
npx -y degit wanshuiyin/Auto-claude-code-research-in-sleep/skills/skills-codex/wiki-enrich .agents/skills/wiki-enrich
Runs on your machine.
npx -y degit wanshuiyin/Auto-claude-code-research-in-sleep/skills/skills-codex/wiki-enrich ~/.openclaw/skills/wiki-enrich
Runs on your machine.
npx -y degit wanshuiyin/Auto-claude-code-research-in-sleep/skills/skills-codex/wiki-enrich ~/.config/opencode/skills/wiki-enrich
Runs on your machine.
npx -y degit wanshuiyin/Auto-claude-code-research-in-sleep/skills/skills-codex/wiki-enrich ~/.hermes/skills/wiki-enrich
Scanned and passed · checked 5 h ago
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Write a reviewSkills people install alongside wiki-enrich.
Khazix's everyday skills: goal briefs for long agent runs, disk cleanup, AI news, doc tidy-ups, deep research and Chinese long-form writing.
A library of AI research skills that lets your agent fine-tune, train, evaluate and serve models, and take a project from idea to paper.
A six-step competitive analysis for product managers, from the market landscape to rivals' strategic direction, ending in battle cards.
Researches tech and advanced-manufacturing investment themes by finding supply-chain bottlenecks, then ranks which companies to study first.
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Safe to install in every agent it supports. Runs in your agent, as instructions.