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Skills

Hand-crafted skills for agents, built from workflows I kept manually repeating.

Skill What it does
screencast Live-stream browser screencasts over WebSocket so others can watch in real time.
manipulating-video Manipulate video files with ffmpeg — speed up/slow down, resize, compress, convert formats, extract audio, convert to GIF, trim, merge, and more.
upload-image Uploads images to imgbb — local files, URLs, SVGs, base64, whatever. No more manual hosting.
terminal-recording Record, upload, and GIF-convert terminal sessions with asciinema and agg.
ghostty-remote-control kitty-inspired kitten remote control for agents to control ghostty terminal sessions, tabs, and windows.
github-to-markdown Uses 2md to convert a GitHub repo, directory, or file into a single markdown document for LLM or documentation workflows.

Note

Skills are reusable capabilities for AI agents. They provide procedural knowledge that helps agents accomplish specific tasks more effectively. Skills can include code generation patterns, domain expertise, tool integrations, and more. skills.sh

Install

Install a single skill:

npx skills@latest add o-az/skills --skill <skill-name>

Example:

npx skills@latest add o-az/skills --skill screencast

Install all skills:

npx skills@latest add o-az/skills --all

Contributing a new Skill

  1. Copy skill template
cp -R _template skills/<new-skill-name>
  1. Edit skills/<new-skill-name>/SKILL.md with the new Skill's name and description
  2. Add Skill dependencies to skills/<new-skill-name>/scripts

    See scripts in skills/screencast for a skill dependency example Most Skills won't have dependencies.

More on skills


Eval Results

Latest results (Iteration 4 — Amp, Opus 4.6):

With Skill is the success rate with the skill loaded. Baseline is the same eval without the skill-specific guidance.

Skill Runs With Skill Baseline Delta
manipulating-video 30 1.0000 0.6611 +0.3389
screencast 60 0.9695 0.1305 +0.8390
template 20 1.0000 0.4250 +0.5750
terminal-recording 32 1.0000 0.5938 +0.4062
upload-image 48 1.0000 0.4305 +0.5695

Full history and benchmark files are in evals directory.

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