Daily notes: prompts to study, agent routines to reuse, design skills to direct AI

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

   elder-plinius/CL4R1T4S : Study a third-party collection of claimed AI system prompts

   A third-party collection of purported system prompts and tool instructions from AI products. It can provide material for studying prompt structure, but the files are not authenticated examples of how those products currently work.

   +147
2. 2

   addyosmani/agent-skills : Give your coding agent a repeatable engineering routine

   Shell

   A set of coding-agent workflows covering specifications, implementation, tests and review. Each skill includes verification steps, useful when you want to give an assistant a repeatable engineering routine instead of improvising a fresh prompt for every task.

   +82
3. 3

   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.

   +75
4. 4

   XiaomiMiMo/MiMo-Code : Pick up a coding task without retelling the whole story

   TypeScript

   Xiaomi's terminal coding assistant can read a project, edit files and run commands. It saves task notes and checkpoints across sessions, useful for picking up unfinished coding work without explaining the project's background again each time.

   +72
5. 5

   NVIDIA/SkillSpector : Check an agent skill before you let it near your files

   Python

   Scans agent skill packages for suspicious instructions and credential or supply-chain risks before you install them. It can remember previously triaged findings, useful for reviewing updates without treating every old warning as a new discovery.

   +57
6. 6

   apple/container : Run Linux containers with Apple's own Mac tooling

   Swift

   Apple's tool for running Linux containers as lightweight virtual machines on Apple silicon Macs. It uses standard OCI images, useful for trying a Mac-native container workflow while checking the supported macOS version and your development requirements.

   +55
7. 7

   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.

   +53
8. 8

   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.

   +47
9. 9

   iptv-org/iptv : Find TV streams by language and open them in your player

   TypeScript

   Collects publicly available television streams into M3U playlists that compatible players can open. Useful for finding channels by category or language, with playback depending on the individual stream and your network rather than the playlist alone.

   +46
10. 10

    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.

    +45