Skip to content
agents.nix
Color theme

sinnconsulting/loopboard

agent-skills via skillsdirectory-com

Upstream
github.com/sinnconsulting/loopboard
Version
4.2.0
Source details
Revision
v4.2.0 tag
Hash
sha256-cDoAvgmT8mUHo4jYRGV+1JBFNzuCoj4J3/LdsWQB+pI=
Snapshot
data/agent-skills/github.com/sinnconsulting/loopboard.json · latest JSON

4 packages

claude-md-compress

4.2.0 · .claude/skills/claude-md-compress 

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

readme-regen

4.2.0 · .claude/skills/readme-regen 

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

review-feedback

4.2.0 · .claude/skills/review-feedback 

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

template-loop-compress

4.2.0 · .claude/skills/template-loop-compress 

pkgs.agent-skills.github.sinnconsulting.loopboard.template-loop-compress
Install with home-manager 
programs.claude-code.skills.template-loop-compress = pkgs.agent-skills.github.sinnconsulting.loopboard.template-loop-compress;
Build without the overlay 
nix build 'github:sudosubin/agents.nix#agent-skills.aarch64-darwin.github.sinnconsulting.loopboard.template-loop-compress'

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.