whinc/super-skills

agent-skills via skills-sh

Upstream: github.com/whinc/super-skills
Version: 0-unstable-2026-10-24

Source details

Revision: dc7e8f0223acc074f5ba3d040ebe86ed96b57eb8 commit
Hash: sha256-d3V1jhKts5jmqUQ2ygeI2WILZT6IgW0PMCOj3fePtOk=
Snapshot: data/agent-skills/github.com/whinc/super-skills.json · latest JSON
Previously: github:whinc/wechat-miniprogram-skills old paths still evaluate and warn

4 packages

codebuddy-handoff

0-unstable-2026-10-24 · skills/codebuddy-handoff

pkgs.agent-skills.github.whinc.super-skills.codebuddy-handoff

Install with home-manager

programs.claude-code.skills.codebuddy-handoff = pkgs.agent-skills.github.whinc.super-skills.codebuddy-handoff;

Build without the overlay

nix build 'github:sudosubin/agents.nix#agent-skills.aarch64-darwin.github.whinc.super-skills.codebuddy-handoff'

memory-compact

0-unstable-2026-10-24 · skills/memory-compact

pkgs.agent-skills.github.whinc.super-skills.memory-compact

Install with home-manager

programs.claude-code.skills.memory-compact = pkgs.agent-skills.github.whinc.super-skills.memory-compact;

Build without the overlay

nix build 'github:sudosubin/agents.nix#agent-skills.aarch64-darwin.github.whinc.super-skills.memory-compact'

react-effects

0-unstable-2026-10-24 · skills/react-effects

pkgs.agent-skills.github.whinc.super-skills.react-effects

Install with home-manager

programs.claude-code.skills.react-effects = pkgs.agent-skills.github.whinc.super-skills.react-effects;

Build without the overlay

nix build 'github:sudosubin/agents.nix#agent-skills.aarch64-darwin.github.whinc.super-skills.react-effects'

wechat-miniprogram

0-unstable-2026-10-24 · skills/wechat-miniprogram

pkgs.agent-skills.github.whinc.super-skills.wechat-miniprogram

Install with home-manager

programs.claude-code.skills.wechat-miniprogram = pkgs.agent-skills.github.whinc.super-skills.wechat-miniprogram;

Build without the overlay

nix build 'github:sudosubin/agents.nix#agent-skills.aarch64-darwin.github.whinc.super-skills.wechat-miniprogram'

The build command uses aarch64-darwin; aarch64-linux and x86_64-linux work too. Any agent that reads a skills directory can use these packages; see the usage guide for installation.