调研、论文、教育、考证学习（4728 个）
Requirement gathering techniques, stakeholder analysis, user story patterns, and specification validation. Use when clarifying vague requirements, resolving conflicting needs, documenting specifications, or validating requirements with stakeholders.
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Исследует родственные связи и семейную историю по персональным данным и документам с фокусом на бывший СССР, СССР и Российскую империю. Использовать для генеалогического поиска, сопоставления однофамильцев, архивных, метрических, военных, миграционных и репрессивных записей, построения доказательной цепочки и итогового отчёта. Не использовать для слежки за живыми людьми, поиска их текущих контактов или адресов, доступа к закрытым данным, обхода защиты и утверждения биологического родства без независимого подтверждения. EN — evidence-first genealogy and family-history research for the former USSR, the USSR and the Russian Empire (church/metric books, civil registration, military, migration, deportation and repression records, unindexed archive scans, namesake disambiguation, evidence chains, final report). Replies in the user's language. Not for tracking living people.
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Bootstrap a durable "write like me" skill from the user's own Slack and email writing. Use during Assistant onboarding, after Slack/Gmail or email connectors are available, or when the user asks to learn their voice, infer writing style, create a personal writing persona, generate a write-like-me skill, analyze sent messages, or capture different writing postures across email and Slack.
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Start Assistant onboarding in a new or first-meeting Assistant chat. Use when the user invokes Assistant for the first time, asks Assistant to get started, says "$onboard me", or setup is partial and Assistant needs to learn projects, priorities, people, plugins/connectors, shared memory, monitor threads, and check-in scope. The first user-visible sentence must be exactly "Hi, I'm your assistant."
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Research Elixir/Phoenix/Ecto topics or evaluate Hex libraries; Use when learning about libraries, patterns…
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Capture Elixir/Ecto/LiveView lessons and Hex API rules. Use after corrections or when asked to document learning…
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Walk through the Elixir/Phoenix plugin commands, workflow; Use when a new user wants to learn what the plugin offers…
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Research Elixir/Phoenix/Ecto topics or evaluate Hex libraries (--library). Use when learning about libraries, patterns, or comparing approaches. Searches HexDocs, ElixirForum, GitHub.
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Walk through the Elixir/Phoenix plugin commands, workflow, and features in 6 interactive sections. Use when a new user wants to learn what the plugin offers or needs a refresher on available commands.
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Research Elixir/Phoenix/Ecto topics or evaluate Hex libraries (--library). Use when learning about libraries, patterns, or comparing approaches. Searches HexDocs, ElixirForum, GitHub.
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Capture Elixir/Ecto/LiveView lessons and Hex API rules. Use after corrections or when asked to document learning, record a lesson, prevent a fixed mistake, or remember package guidance with --library.
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Walk through the Elixir/Phoenix plugin commands, workflow, and features in 6 interactive sections. Use when a new user wants to learn what the plugin offers or needs a refresher on available commands.
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Capture Elixir/Ecto/LiveView lessons and Hex API rules. Use after corrections or when asked to document learning, record a lesson, prevent a fixed mistake, or remember package guidance with --library.
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Self-improving loop for plugin skills. Reads program.md, proposes one mutation per iteration, evaluates against deterministic scorer, keeps improvements via git, reverts failures. Targets weakest skill+dimension. Use with /loop for overnight runs.
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Research ideation workflow from literature search to research planning. Triggers on "brainstorm research ideas", "identify research gaps", "conduct gap analysis", "start research project", "conduct literature review", "define research question", "select research method", "plan research", "research ideation".
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Intent-driven spec precipitation — state a constraint in natural language (加一条规范：禁止用 any / 记录架构约束：服务间走 gRPC / 质量规则：覆盖率≥80%) and the workflow infers the category and records a <spec-entry>. Spec = 项目约束规则（编码规范、架构约束、质量标准）；可复用知识文档走 /maestro-knowhow capture。Triggers on "maestro-spec add", "记录规范", "添加约束", "添加规则", "加一条规范", "spec add". Terminology：spec = project constraints/rules (<spec-entry>). Reusable knowledge documents use /maestro-knowhow capture. Learning discoveries from /maestro-learn use <learning-entry> tags in learnings.md (separate from spec entries).
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Remove AI writing patterns from academic prose. Detects and fixes inflated symbolism, promotional language, superficial analyses, vague attributions, AI vocabulary, and formulaic structures. Supports English and Chinese. Triggers on "remove AI patterns", "humanize text", "anti-AI polish", "去除AI写作痕迹", "人性化处理".
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User-invoked learning toolkit — guided reading, investigation, pattern extraction, or second opinions. Manual `/maestro-learn` only; NEVER auto-invoke for code exploration or analysis — route those intents to the analyze step via /maestro-next
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Systematic academic paper review workflow covering self-review before submission and rebuttal writing after receiving reviewer feedback. Triggers on "review paper", "self-review", "write rebuttal", "respond to reviewers", "analyze review comments", "paper review".
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Enhanced academic paper review response workflow with Agy/CLI collaborative analysis and multi-perspective discussion. Produces structured rebuttal documents with evidence-based strategies. Triggers on "rebuttal", "respond to reviewers", "review response", "审稿回复".
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Four-layer citation verification for academic papers. Scans LaTeX/BibTeX files, verifies every citation via WebSearch and Google Scholar, generates verification report with fix suggestions. Triggers on "verify citations", "check references", "citation verification", "prevent fake citations", "引用验证".
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This skill should be used only when the user explicitly asks to use `$ralph-specum-research`, or explicitly asks Ralph Specum in Codex to run the research phase.
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.omd/preferences.md의 status:pending 항목을 Core v2 System Graph에 합쳐 DESIGN.md를 재생성하고 status를 applied로 플립. '프리퍼런스 정리해줘', 'fold preferences', 'apply all corrections', 「好みをDESIGN.mdに反映」, 「套用偏好」류의 요청에 트리거. 단발성 교정 기록은 omd:remember.
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One effect, done well: 먹 번짐 — a large Korean, Japanese or Chinese display headline that reads as sumi ink printed on hanji. The heading stays real, selectable DOM text in ink color from the first frame; a WebGL2 layer over it adds what real ink does: a wet, glossy stroke with a soft bloom that shrinks as it dries, ink pooling darker at stroke rims, ends and corners, paper fibers showing through thick strokes, and capillary feathering along fibers at a few edges only. Two parameters (bleed, duration), ~5 KiB gzip of library JS, procedural paper texture, static fallback, prefers-reduced-motion, real-GPU verification script. Use for a CJK hero/launch headline, brand title, campaign line or section opener that should feel like a printed calligraphy poster. Triggers: '먹 번짐', '잉크 번짐', '한지 느낌 제목', '한글 타이포 셰이더', '제목에 셰이더', '墨のにじみ', '和紙', '筆文字っぽく', '墨跡暈開', '宣紙', 'CJK headline shader', 'sumi ink text effect', 'ink bleed text', 'Hangul shader'. Not for body text, buttons, or Latin-only headlines. Full-page shader backgrounds → omd-shader-hero. Korean typesetting rules → hangul. Brand tokens → omd-apply.
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