Tools

Turns a project directory or website URL into a roughly 20-second launch video: gathers copy, colors and real UI from the code or live site, storyboards it, and builds visuals, music and the render with tools already on the machine, delivering an MP4, poster frame and share copy.

Scripts terminal sessions in .tape files and records them to GIF, MP4 or WebM, great for CLI demos and docs; text snapshot output also enables terminal integration tests. By Charm; requires ttyd and ffmpeg.

Industrial-grade open-source speech recognition toolkit from Alibaba's ModelScope, with an agent-friendly funasr command that turns audio into text, JSON or SRT subtitles in one step, with speaker diarization and timestamps. Strong on Chinese. Requires PyTorch.

Official MCP from the FunASR project: transcribes audio files locally with the SenseVoice model, supporting Mandarin, Cantonese, English, Japanese and Korean, with optional segment timestamps. Local inference needs no API key and audio stays on your machine. Docker image available.

Command-line tool for bulk-downloading galleries and posts from many image hosts and social platforms, with flexible file naming and config, and yt-dlp integration for video. Main development has moved to Codeberg; the GitHub repo stays in sync.

Unofficial Python library and CLI for driving Google NotebookLM (now Gemini Notebook): bulk-import sources, ask cited questions, and generate and download podcasts, videos, slides, quizzes and flashcards. Ships an agent skill. Relies on undocumented APIs and needs a Google sign-in.

AI2's tool for converting PDFs and scans to Markdown with a vision LLM, handling equations, tables, handwriting and multi-column layouts, suited to bulk digitizing papers and archives. Local runs need an NVIDIA GPU with 12GB+ VRAM; otherwise use a paid OpenAI-compatible remote endpoint.

All-in-one video translation and dubbing: chains speech recognition, subtitle translation, multi-speaker AI voiceover and audio-video muxing, with local or online models like Faster-Whisper, DeepSeek and Edge-TTS. cli.py supports headless batch runs. Needs FFmpeg.

Turns Claude Code or Codex into a motion studio: from your site or product it writes storyboards, animates shots and adds sound, rendering promo videos with Remotion. Edit further in a browser workspace or export JianYing drafts. Needs Node.js and ffmpeg; Remotion may need a paid license.

Lets Claude Code push ML research forward unattended: literature review, topic selection, experiment deployment, cross-model review loops and paper writing through rebuttal, in 80+ skills. Codex acts as the independent reviewer by default; other model pairings work too.

Browser control from the browser-use team: an editable CDP connection lets agents drive the Chrome you are already using, writing missing helper functions as they go and keeping them for reuse. Also offers an MCP server. Allow remote debugging in Chrome on first use.

Strips AI-sounding prose from English drafts: lists phrases to cut and patterns to avoid, then scores directness, rhythm, trust in the reader, authenticity and density, sending anything under 35/50 back for revision. Word lists and examples are English, for blogs, emails and articles.

Sealos's Kubernetes lifecycle CLI: one sealos run deploys a highly available cluster across multiple servers, and cluster images install databases, middleware and other apps, with offline delivery support. Linux only.

Context and harness engineering skills: context fundamentals, degradation diagnosis and compression, multi-agent architectures, memory systems, tool design, LLM-as-judge evaluation and self-improvement loops. Focused on principles and design patterns, not tied to any agent platform.

Context and harness engineering skills covering context compression and optimization, multi-agent architectures, memory systems, tool design and LLM-as-judge evaluation, activated automatically by task. Aimed at building production-grade agent systems.

Official Lark (Feishu) skill to create and edit Lark Sheets: formulas, charts and pivot tables, conditional formatting and filters, plus import and export of local Excel/CSV, for summaries, budgets and reports. Needs lark-cli on a machine with Node.js, plus app setup and authorization.

Official Lark (Feishu) skill for Lark Base: create tables, add fields, add and edit records, build views, forms and dashboards, or apply ready-made templates, good for sign-ups, asset registers and trackers. Needs lark-cli on a machine with Node.js, plus app setup and authorization.

Official Lark (Feishu) skill to read, create and edit Lark docs and wiki pages, insert or download images and attachments, and work with whiteboards and mind notes. Depends on lark-cli and the lark-shared skill; requires Lark authorization.

Veteran image processing CLI suite that converts, resizes, crops, composites and batch-processes JPEG, PNG, GIF, TIFF, PDF and many more formats, handy for agents handling images in scripts.

Automattic's offline English grammar checker: checks spelling, grammar and word choice locally in milliseconds without sending your text anywhere. Homebrew installs harper-cli for batch-checking files (still experimental) and harper-ls for editors. English only.

Alibaba's open-source offline data sync tool: JSON job configs batch-sync between heterogeneous sources like MySQL, Oracle, PostgreSQL, Hive, HDFS and MaxCompute, run with python datax.py. Needs JDK 1.8+ and Python; download and unpack the official toolkit.

AWS's official unified CLI for managing EC2, S3, IAM and every other AWS service with one set of commands, with --query (JMESPath) filtering and JSON output that agents can use to inspect and change cloud resources. Run aws configure to set credentials first.

Value investing research skills that turn the methods of Buffett, Munger, Duan Yongping and Li Lu into 20+ workflows: deep stock research, filing reviews, sector screens, portfolio reviews and thesis tracking, with clear conclusions and cross-checked data. Token-heavy. Not investment advice.

Programmable software delivery engine: write build, test and release pipelines with SDKs in Go, Python, TypeScript and five other languages, all running in containers so local and CI behave the same, with built-in OpenTelemetry tracing. Needs a container runtime such as Docker.