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remorses/kimaki

agent-skills via skills-sh

Upstream
github.com/remorses/kimaki
Version
1.6.0
Source details
Revision
kimaki@1.6.0 tag
Hash
sha256-BIjyVZeWC/L7KrP8nfsx7sMozm45Vtu+VQwMpj98BsM=
Snapshot
data/agent-skills/github.com/remorses/kimaki.json · latest JSON

5 packages

kimaki-debug

1.6.0 · kimaki/skills/kimaki-debug 

pkgs.agent-skills.github.remorses.kimaki.kimaki-debug
Install with home-manager 
programs.claude-code.skills.kimaki-debug = pkgs.agent-skills.github.remorses.kimaki.kimaki-debug;
Build without the overlay 
nix build 'github:sudosubin/agents.nix#agent-skills.aarch64-darwin.github.remorses.kimaki.kimaki-debug'

kimaki-tunnel

1.6.0 · kimaki/skills/kimaki-tunnel 

pkgs.agent-skills.github.remorses.kimaki.kimaki-tunnel
Install with home-manager 
programs.claude-code.skills.kimaki-tunnel = pkgs.agent-skills.github.remorses.kimaki.kimaki-tunnel;
Build without the overlay 
nix build 'github:sudosubin/agents.nix#agent-skills.aarch64-darwin.github.remorses.kimaki.kimaki-tunnel'

new-skill

1.6.0 · skills/new-skill 

pkgs.agent-skills.github.remorses.kimaki.new-skill
Install with home-manager 
programs.claude-code.skills.new-skill = pkgs.agent-skills.github.remorses.kimaki.new-skill;
Build without the overlay 
nix build 'github:sudosubin/agents.nix#agent-skills.aarch64-darwin.github.remorses.kimaki.new-skill'

npm-package

1.6.0 · skills/npm-package 

pkgs.agent-skills.github.remorses.kimaki.npm-package
Install with home-manager 
programs.claude-code.skills.npm-package = pkgs.agent-skills.github.remorses.kimaki.npm-package;
Build without the overlay 
nix build 'github:sudosubin/agents.nix#agent-skills.aarch64-darwin.github.remorses.kimaki.npm-package'

opensrc

1.6.0 · skills/opensrc 

pkgs.agent-skills.github.remorses.kimaki.opensrc
Install with home-manager 
programs.claude-code.skills.opensrc = pkgs.agent-skills.github.remorses.kimaki.opensrc;
Build without the overlay 
nix build 'github:sudosubin/agents.nix#agent-skills.aarch64-darwin.github.remorses.kimaki.opensrc'

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.