Research and context-saving skills lead today's star events

Fastest-growing this period

Counts come from GitHub's official stargazers/history endpoint: the stars gained on each day of the window. Project briefs and the reading notes below are editorial additions.

1. 1

   mvanhorn/last30days-skill : Find what people discussed in the last month

   Python

   A research skill for gathering recent discussion about a topic across web and community sources. Useful before writing about a fast-moving subject, with the collected posts serving as leads to verify rather than a complete or representative account of public opinion.

   +76
2. 2

   Leonxlnx/taste-skill : Show your AI the look you want before it builds the UI

   Shell

   A skill collection for improving the layout, typography and motion of AI-built interfaces. It also supports making visual references before coding, useful when a clear example would communicate your design intent better than another long prompt.

   +40
3. 3

   Panniantong/Agent-Reach : Give your agent a way to read beyond ordinary web pages

   Python

   Gives command-line AI agents tools for reading and searching websites, video platforms and social sources. Its channel diagnostics help identify which connections work and which need configuration, useful when gathering material across several sites.

   +39
4. 4

   harry0703/MoneyPrinterTurbo : Turn a topic into a first-cut short video

   Python

   Connects script generation, footage, narration and subtitles into a short-video production workflow. Useful for quickly assembling a first cut from a topic, then reviewing the script, media rights and pacing before deciding what to publish.

   +37
5. 5

   RyanCodrai/turbovec : Build a growing document search index with smaller vectors

   Python

   A vector index that uses quantization to reduce the memory needed for document embeddings. It supports adding vectors without a separate training pass, useful for experimenting with a local document search collection that keeps growing.

   +34
6. 6

   chopratejas/headroom : Trim bulky tool output before it fills your AI's context

   Python

   Compresses material such as logs, tool outputs and retrieved documents before an agent sends it to a model. Useful when large, repetitive inputs consume the context window; test whether the compressed version preserves the details your task actually needs.

   +33
7. 7

   pewdiepie-archdaemon/odysseus : Bring AI chat, research and notes into one workspace

   Python

   A self-hosted workspace that brings AI chat, research, documents, notes and planning tools together. Useful for exploring whether keeping these activities in one application helps your daily workflow, with feature maturity checked against the tasks you need.

   +32
8. 8

   affaan-m/ECC : Give your coding agent a plan, tests and a memory

   JavaScript

   A collection of coding-agent workflows for planning, tests, review and remembering useful context. If your assistant jumps straight into edits or forgets earlier decisions, this gives you reusable routines to adapt to your project.

   +31
9. 9

   colbymchenry/codegraph : Let your coding agent follow the call chain

   TypeScript

   Builds a local index of code symbols, calls and dependencies for AI assistants to query through MCP. Useful for tracing related code before making a change; try it on your own repository to see whether its answers are more helpful than ordinary file search.

   +28
10. 10

    mattpocock/skills : Make your AI ask the right questions before it writes code

    Shell

    Give your coding assistant a skill that asks detailed questions before implementation. Use it to clarify vague requirements before the agent builds the wrong thing.

    +27