调研、论文、教育、考证学习（4229 个）
Find autonomous AI agents, frameworks, and tools through AgentFolio. Compare their capabilities, intended users, integrations, and deployment options to shortlist existing products or gather examples and ideas before designing an agent of your own.
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Prepare an industry briefing once a project's sector is defined. It covers sector context, potentially applicable regulations, familiar interface patterns, technology choices, and risks, while separating verified evidence from hypotheses and questions requiring further review.
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Retrieve structured JSON from public X/Twitter post links through the third-party ADHX API. Use available text, author details, engagement counts, and long-form article content to summarize posts, extract key points, or examine audience responses.
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Retrieve individual buy and sell signals from tracked investor wallets on BSC and Solana. Compare prices at detection with current prices, review maximum gains and exit rates, and check whether signals remain active.
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Track newly launched meme tokens, those nearing exchange migration, and recent migrations. Filter by age, market value, or developer behavior, and explore AI-detected market themes with related tokens ranked by incoming funds.
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Research individual crypto tokens by name, symbol or contract address. Retrieve official links and creator details, current prices, trading volume, holder counts and liquidity, plus candlestick data showing price movements over a chosen interval.
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Investigate one difficult mathematics problem through repeated rounds of independent agent work and review. Track proved, refuted, and unresolved claims, check proposed proofs, and produce a self-contained proof.md that clearly states what remains unproved.
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Work through one difficult mathematics problem with a single agent, saving established arguments and dead ends as progress notes. Resumes from recorded work after interruptions and writes a self-contained proof file, including any unresolved parts.
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Solve competition mathematics problems and examine proofs through independent agents that actively look for gaps, counterexamples, and misused theorems. Produces a checked argument or clearly states what remains unresolved, with optional PDF output.
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Assess your Claude Code experience with a quick checklist or a deeper review across 10 feature areas. Receive a skill profile, identified gaps, and a personalized learning path with priorities, estimated study time, and practice exercises.
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Check your understanding of one Claude Code tutorial lesson with a 10-question quiz. Get feedback after each round, a final score, and specific topics to review, whether you take it before, during, or after studying.
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Set up and manage DeepTutor from the command line, a text interface for running commands. Run learning tasks, build searchable document collections, manage sessions and notebooks, diagnose installation issues, and launch the server or Web app.
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Research social discussions using public posts or authorized exports, and produce reports that link each claim to inspected evidence. Track duplicate posts, distinguish speakers, document access gaps, and audit conclusions that exceed the observed sample.
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Researches external facts with available web tools and prioritizes original sources. Produces a linked synthesis that checks dates and versions, separates facts from inference, and identifies questions the available evidence has not resolved.
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Revise an existing course by correcting slide text, adjusting layouts, repairing quizzes, updating narration, or reordering pages. Edits preserve the course’s established voice and design while focusing on the specific changes requested.
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Design vocational training around a real work task, from preparation and equipment checks to operation, verification, and handover. Build interactive practice with tools, ordered steps, consequences for mistakes, and checkpoints where learners decide whether to proceed, recheck, or stop.
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Plan an OpenMAIC lesson or course series backward from lasting understanding and evidence of learning. Connect central questions, practical assessment tasks, and learning activities so students can apply concepts in new situations.
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Create courses grounded in verified external facts, including recent developments, market data, product details, and scientific findings. It researches sources, records which evidence supports each claim, and carries those findings and uncertainties into page plans and content.
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Design hands-on workshops with short explanations, immediate exercises, and quick self-checks. Use brief dialogue between a teacher and an assistant to guide practice, then finish with a small project that combines what learners have tried.
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Design courses where learners explore ideas by changing parameters, following diagrams, running code, playing games, or inspecting 3D scenes. Each main page focuses on one mechanism or structure, with opening and closing pages framing the learning.
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Design practice lessons around learners’ actual attempts, using the zone of proximal development: learning supported by a teacher or experienced peer. Plan targeted help, fresh independent tasks, and evidence-based next steps, or run a single practice cycle in chat.
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Plan and build a connected series of lessons around learners’ experience and goals. After the user approves the complete lesson list, it creates lessons in order, checks continuity, and organizes them in one folder.
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Use a teacher's recordings or lecture materials to identify evidenced teaching habits, including phrasing, examples, pacing, and visual presentation. Apply those habits to a course on a requested topic, keeping its subject facts separate from the source lesson.
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Create or adapt an OpenMAIC lesson for Chinese primary and secondary education. Connect real-world tasks with learner activities, observable work, assessment, and narration, focusing on one or two core competencies from the relevant curriculum framework.
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