misaka16384

@misaka16384

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Run @misaka16384's plugins in your agent.

Install one, then just prompt in plain English. The FLOW.md fires the right skill at the right moment. No re-orchestration, no babysitting.

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Plugin

Data Python HTML

magi

MAGI 是一个 agent-native 的科研工作环境：人是驾驶员，LLM agent 是机体，确定性的 magi CLI 是拘束具——三者同步率越高，科研越快。它把学术论文（PDF/LaTeX）摄入、编译为 Obsidian 兼容的概念卡片项目，并用三核架构管理完整的科研状态：进入任意项目先跑 magi sync——它输出同步率、三核状态和逐条可执行的修复提示。magi radar 是文献雷达：定时发现相关新论文，并侦察"知识上应引用我方论文却未引用"的候选。同一份 skills 通吃 Claude

11 skills7

@misaka16384

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Skill

Data Python HTML

adopt

Take a folder that already holds research — papers, notes, code, half-written drafts — into MAGI, without breaking what is already there.

magi8d7

@misaka16384

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Skill

Data Python HTML

ask

Answer a question from this project's own knowledge — retrieved, read and cited, never from memory.

magi8d7

@misaka16384

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Skill

Data Python HTML

brief

Write the one thing a person reads after an unattended run — its report — and the lecture notes that prepare them for it, in words they already have.

magi8d7

@misaka16384

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Skill

Data Python HTML

compile

Compile raw sources into dense, interlinked reference and concept cards, and mine the concepts a compiled card left implicit.

magi8d7

@misaka16384

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Skill

Data Python HTML

discuss

Talk a run over with the person until it can be written down — motivation, directions, what is not worth it, when to stop, their taste — and they sign it.

magi8d7

@misaka16384

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Skill

Data Python HTML

ingest

Turn whatever the human has — a PDF, a link, a DOI, a screenshot of a citation — into raw/ sources this project can compile.

magi8d7

@misaka16384

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