Extracts and organizes Douyin video data, transcripts, comments, metadata, and visual evidence into traceable notes, research briefs, scripts, fact-checks, and reusable knowledge assets.
DyNote: systematically and efficiently extract raw Douyin/DY video data and analyze videos, comments, accounts, hashtags, and short-video scenes into evidence-graded learning notes, summaries, research briefs, scripts, and knowledge-base material. Use when the user asks to 抓取/提取/整理 抖音视频字幕、视频文案、ASR 转写、Qwen3-ASR 中文转写、原始材料归档、学习笔记、analysis plan、note budget、避免返工、复用已有素材、评论洞察、账号分析、赛道/话题研究、竞品拆解、电商/本地生活视频分析、事实核查、自动搜索素材, save Douyin content as Markdown/TXT, or use subtitle/local ASR as the factual spine with logged-in Douyin Web built-in AI / Doubao fallback as visual or quick-reading supplements.
Provides a protocol for implementing, validating, benchmarking, and statistically evaluating new covariance, correlation, precision estimators, and covariance scoring rules.
Enforces a research workflow requiring source-grounded claims, citations, direct quotations from documents, and explicit acknowledgment when information cannot be verified.
Searches Project Gutenberg via Gutendex, downloads book editions, extracts clean text from TXT or EPUB files, and classifies books as fiction, non-fiction, or ambiguous.
Enables terminal-based browsing of PeerTube instances, including video search, details, comments, channels, accounts, instance statistics, and optional OAuth2 access to the user's…
Guides agents through rigorous research planning, evidence evaluation, analysis, synthesis, reporting, and durable preservation with traceable source-to-claim relationships.
Provides a methodology for formulating, comparing, validating, and auditing constrained optimization decisions using explicit variables, objectives, feasibility rules, tradeoffs, …
Analyzes persuasive messages by decomposing claims, tracing them to authoritative evidence, identifying misleading framing, and reporting calibrated verdicts while separating lite…
Provides rigorous guidance for statistical analysis, experimental design, causal inference, Bayesian methods, machine learning, reproducibility, and research methodology.
