Builds a queryable knowledge graph from a codebase and its docs, PDFs, and configs, driven by a /graphify skill for AI coding assistants.
Agentic coding tool that runs in your terminal, reads your codebase, and executes coding and git tasks from natural language commands.
华尔街式财经/科技解读短片 skill:设计思路、风格语言,以及找片、截图、配音、渲染和混音工具。
Answer me with HTML — an agent skill that answers hard questions with a one-page HTML you can actually read. 让 AI Agent 用一页 HTML 回答复杂问题。
Hand-drawn and pixel-art explainer videos written entirely in code — Remotion + React + SVG, procedural music & SFX, subtitle-driven timing
Frametell: turn your ideas and material into vivid explainer videos with an AI director agent. Local-first, any model.
Symbolic Learning in Python and Julia
50 open-source skills that teach your AI coding agent to make motion graphics, animation & video — kinetic typography, data-viz, explainers, TikTok/Reels, WebGL, Manim. 14 installable packs. By iart.ai, the AI motion agent.
AI coding jargon, explained in plain English.
A prompt for making explainer animations of your field's must-know terms. Teach the words of your craft. Make the world more creative.
Visualize any GitHub codebase: free interactive architecture diagrams and one-minute explainer videos. Replace 'hub' with 'diagram' in any GitHub URL.
Graph-Native Infrastructure for Context and Accountable AI Systems
Turn one topic into a finished Vox-style paper-collage explainer/ad video — automated end to end on Atlas Cloud + ffmpeg. An agent skill.
Procedural animation in any style for Claude Code: short single-file canvas videos with story, look and storyboard check-ins. 7 built-in styles or one matched from your references, your own music (beat-mapped), real product screenshots, every format from one piece.
白箱AGI架构探索:元认知(自我认知循环)、持续学习(知识飞轮)、世界模型(条件空间+语义时空图)、自我改进(自举纪律)、零LLM白箱管线与可审计信任护栏。
Topic in, narrated explainer video out. A Claude Code / Codex skill that turns any topic into a black-canvas motion-graphics explainer video with TTS voiceover, subtitles and a chapter progress bar. Chinese or English; every frame drawn in code with Remotion.
Agent skill that turns Claude Code / Codex into a motion-design studio for voiceover-driven explainer videos — word-level voiceover sync, 109 motion recipe cards, an anti-slideshow camera system, Remotion rendering.
Chat2DB is a free, cross-platform, local-first database client and SQL workspace for developers, DBAs, analysts, and data teams. Connect to 40+ databases, manage data, edit and run SQL, and use your own AI model to generate, explain, and optimize queries. Available on desktop, web, Docker, and CLI, with MCP support.
Agent skill that generates rich HTML pages or slide decks for diagrams, diff reviews, plan audits, data tables, and project recaps
AI conversations that actually remember. Never re-explain your project to your AI again. Join our Discord: https://discord.gg/tyvKNccgqN
Open-source AI agent for B2B lead generation — describe your product, it finds the people who fit, explains why each one does, and emails them from your mailbox. Self-hosted CLI, one install.
The Underclassmen Opportunities repository is a curated list of internships, programs and resources aimed at freshmen and sophomores in tech‐related majors. The README explains that many companies have early‑career programs that do not require prior experience, and this project aggregates those opportunities for easy discovery.
Interactive isometric maps that explain issues, services and systems through places, people and connected stories.
用一句話讓 coding agent 做出原理解說動畫(HyperFrames + 中文旁白 + 字幕 + 三色主題)|Agent skills for narrated explainer animations
Open-source desktop SQL workspace with 3 built-in database drivers and 24 shipped driver plugins, including SQL Server, DuckDB, ClickHouse and Redis. Built-in MCP server for Claude, Cursor and Devin, SQL notebooks and visual EXPLAIN.
Agent skill for browser motion graphics — openers, promos, bumpers, kinetic typography, and five explainer styles that move like video, not slides. Single index.html output. Works with Claude Code, Codex, Gemini CLI, Cursor.
A local video studio for your coding agent. Describe a video in one sentence: your agent directs, your machine renders. Claude Code, Codex, Cursor, Devin and more. No API keys, no uploads.
Claude Code skill: Khan Academy style explainer videos. A pen draws while a voice explains. Free, local, no API keys.
Claude Code is an agentic coding tool that lives in your terminal, understands your codebase, and helps you code faster by executing routine tasks, explaining complex code, and handling git workflows - all through natural language commands.
Make your agents talk human. ADHD-friendly output styles for Claude Code, Codex, and others. So you can pay attention, not tokens.
An open-source, ontology-based semantic context accelerator that enables AI agents to make more accurate, consistent, and explainable decisions.
Explainer videos and product demos made by your AI agent. Free and open source: a local voice (Kokoro), word timing (Whisper) and a canvas renderer turn a script into a narrated MP4.
中文手绘知识讲解视频 Codex Skill:逐笔故事、双语义岛、让怪诞小黑动起来与程序动画
Claude Opus 5.5 video prompts for motion graphics, explainers, 3D scenes and interactive demos. Browse by use case, with previews, required inputs and tools.
Agent skill: turn one topic into a 1–3 minute knowledge explainer video — fact-checked article, scene-by-scene copy, freely licensed images, three looks to pick from, a beat-synced storyboard, the opening first. Rendered with HyperFrames.
Framework agnostic sliced/tiled inference + interactive ui + error analysis plots
Home for explainer documents originated by the Microsoft Edge team
An active paper-reading skill that reconstructs author reasoning, explains methods mechanistically, stress-tests assumptions, and generates follow-up research ideas.
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Read-only Windows diagnostics: the Event Log in plain language, blue screens explained. Offline and open source.
Open desktop AI agent for Windows, macOS and Linux, written from scratch: its own agent engine, its own browser tooling and its own drawing engine that shows what it explains.
Review behavior, not just diffs. Jev prioritizes human attention; OpenAI explains the changes. Local CLI + agent skill + GitHub extension.
Karpathy's understanding ladder as agent skills: auto-pick text, diagram, interactive HTML, or video storyboard for any explanation. Nothing cut. English + 中文.
Short vertical cut-paper explainer reels, made by your coding agent. Nine Agent Skills plus a Remotion library. Works with Claude Code, OpenCode, Codex, Gemini CLI, Cursor, Copilot and more.
像素游戏化讲解片生成产线(Agent Skill):给一段口播文案,产出 1920×1080/30fps 的像素 RPG 讲解短片。角色分两条路线——有生图用参考图生成 4×4 透明动作表与半身表情,没生图直接代码绘制半身+Q 版小人;章节轨 + 单行字幕 + 语义组件,逐帧导出、逐帧可复现
Agent OpenTelemetry (otel) rules pack: enriches opentelemetry with agent telemetry, steps, access rights and policy to explain agent failure.
A Flipper Zero that stops guessing and starts reasoning: ML-guided RFID/NFC fuzzing & access-control auditing that turns raw card reads into a prioritized, explainable security assessment. Defensive-use only.
A game theoretic approach to explain the output of any machine learning model.
A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning
Fit interpretable models. Explain blackbox machine learning.
A technical explainer by @kognise of how your computer runs programs, from start to finish.
Evaluation and Tracking for LLM Experiments and AI Agents
Postgres Explain Visualizer 2
A helm plugin that shows a diff explaining what a helm upgrade would change
🔅 Shapash: User-friendly Explainability and Interpretability to Develop Reliable and Transparent Machine Learning Models
Postgres Explain Visualizer
Interactive architecture diagrams for codebases
List of the links to the docs for different services, which explain using of advanced search operators
Responsible AI Toolbox is a suite of tools providing model and data exploration and assessment user interfaces and libraries that enable a better understanding of AI systems. These interfaces and libraries empower developers and stakeholders of AI systems to develop and monitor AI more responsibly, and take better data-driven actions.
AI on the way. An auto deep learning pipe dream. An RDBMS approach to deep learning. Declarative, explainable, scalable, optimizable, easy to deploy, all that good stuff.