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nubbymong/ai-code-conductor

agent-skills via skillsdirectory-com

Upstream
github.com/nubbymong/ai-code-conductor
Version
2.1.2
Source details
Revision
v2.1.2 tag
Hash
sha256-JbOzxe5gAb5d6RoXaBrlgsAS0W1nj4kwuhALq149W/U=
Snapshot
data/agent-skills/github.com/nubbymong/ai-code-conductor.json · latest JSON
Previously
github:nubbymong/claude-command-center old paths still evaluate and warn

4 packages

adversarial-review

2.1.2 · .claude/skills/adversarial-review 

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

loopready

2.1.2 · .claude/skills/LoopReady 

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

sessionloop

2.1.2 · .claude/skills/SessionLoop 

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

startloop

2.1.2 · .claude/skills/StartLoop 

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

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.