Research, academic papers, education, and exam prep (4.5K skills)
Turn photos with a clearly isolated landmark into two-color 3:4 kraft-paper stencil posters, in split comparison or full-canvas mode. Do not use when no single landmark is recognizable.
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Use when ingesting source material for a writing project, building a knowledge map from notes and documents, identifying research gaps, or preparing a research corpus for content creation.
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Use when capturing research artifacts to a vault or knowledge base, formatting source citations, saving synthesized connections from a writing project, or enriching a knowledge base with produced content.
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Use when planning a multi-article content strategy from a research corpus, creating domain maps for content topology, building production plans for pillar and cluster articles, or tracking cross-article production.
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Research 3–5 confirmed same-industry or cross-industry websites and translate their brand narrative, page architecture, art direction, and visual-system evidence into one reusable Visual Reference Brief. Use when strong references are scarce, a site needs brand-led or premium positioning, a page lacks a narrative spine, or a key module lacks a credible design precedent. Do not create page content, a Design System, UI directions, HTML, or a permanent brand gallery.
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Find academic papers on arXiv, with citation counts and BibTeX.
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Answer a factual question from the web, or enumerate what exists, with sources
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Research a question across web and academic sources and produce a cited report.
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不具合報告（GitHub Issue、フォーラム投稿、社内報告）を起点に、調査・再現・修正・検証・記録までを一貫実行するスキル。症状の切り分け、原因仮説の整理、最小再現、修正実装、ExecPlan作成、PR下書き、ナレッジ追記が必要なときに使う。
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`.agent/agents/` のエージェント定義を入口に、タスクを調査・計画・実装・レビュー・検証へ分担するスキル。ユーザーが「エージェント」「マルチエージェント」「orchestrator」「役割分担」「複数担当」などを求めたとき、または大きな変更で担当境界を決める必要があるときに使う。
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Use only for user-provided academic text, explicit scholarly claims, existing citations, or known bibliographies needing citations added, verified, replaced, extracted, or formatted. Supports claim-to-source matching, citation-support checks, replacements, and common academic citation formats. Do not use for general fact-checking, legal/journalistic citation work, open-ended 'find literature about X', topic-level exhaustive discovery, systematic-review corpus construction, PRISMA searches, or creating new research claims. Chinese: 为已有段落补参考文献、核验已有引用、替换错误引用、提取需引文论断、GB/T 7714 格式化.
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基于 aihot.virxact.com 最新 AI 资讯，为 AI 口播频道（试界TryWorld · 纸上算法风格）产出选题清单。由 $tryworld-koubo 在模式 B 下路由调用；被显式点名「只要选题」时也可直接触发。产出为 3-8 个候选选题（含选题名、角度、素材与原文链接、流量原理命中、优先级），可直接进入 $tryworld-paper 流程做片。
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Create branded 试界TryWorld AI-knowledge videos in the fixed "Paper Algorithm" (纸上算法) style with HyperFrames. Input is a Chinese voiceover script and optional images; output is a 16:9 horizontal video with Azure YunxiNeural (真·云希) voiceover, word-synced captions, ink/paper animations and unified transitions, an always-visible anti-counterfeit red seal, plus horizontal (4:3) and vertical (3:4) cover images and platform-optimized titles for Bilibili/Douyin/Xiaohongshu. Brand values are theme-driven (themes/paper-algorithm.json by default; custom brand themes supported — see references/theme-guide.md). Use when the user provides an AI 科普/教程/内容解读/知识分享 script and wants a TryWorld/试界 branded video, asks for the 纸上算法/Paper Algorithm style, wants a consistent script-to-video pipeline with covers and titles, or wants this pipeline with their own brand theme.
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试界TryWorld AI 口播视频的统一定位入口，覆盖口播全流程（选题/写稿/优化/出片）。涉及口播的请求都应触发：做口播/口播视频/口播稿/写口播稿/帮我选题/口播选题/这周做什么口播/AI 资讯盘点，或直接粘贴口播稿要求优化出片。自动识别两种模式：①直接给稿 → $tryworld-paper 优化并出片；②要选题 → $tryworld-topics 拉 AIHOT 资讯产选题清单 → 挑选 → 写稿 → 优化 → 出片。子命令：只要选题/只要写稿/只优化不出片。交付附四平台推荐发布时间。无需同时引用其他技能。
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Teach models new tasks from a handful of examples — prompting strategies, example selection, and in-context learning mechanics.
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Uncensored open-model inference on Featherless AI — raw model behavior for research and evaluation.
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Research libraries and APIs automatically by pulling live documentation into the agent's context before answering. Use when writing code against unfamiliar or fast-moving libraries so examples match current versions.
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Manage citations and references — collecting sources, organizing libraries, formatting bibliographies, and keeping reference integrity. Use when writing anything that cites sources.
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Run a monthly money check-in with an AI assistant: categorize spending, spot leaks, set one savings target, and view it through the 50/30/20 lens — judgment-free. Use once a month to stay aware of where your money goes. General educational information, not financial advice.
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Writing abstracts that get papers read — structured content, the 5-sentence core, and journal-specific constraints.
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Label smarter, not more — pick the most informative examples for annotation to maximize model gains per label.
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Optimize content for AI answer engines (AEO/GEO): citation-friendly structure, factual precision, and measuring AI visibility. Use when AI search drives discovery.
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Build with BAAI's Aquila models — open bilingual models from Beijing's academy with research transparency.
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Learn effectively from courses and academies: choosing programs, studying actively, and converting courses into skills. Use when investing time/money in structured learning.
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