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popschlock/claude-harness-generator

agent-skills via skillsdirectory-com

Upstream
github.com/popschlock/claude-harness-generator
Version
1.0.0
Source details
Revision
v1.0.0 tag
Hash
sha256-NS31E0g8QyMqez5BCMgIbO2ZPhNeuAhp1x4AuO2vRVw=
Snapshot
data/agent-skills/github.com/popschlock/claude-harness-generator.json · latest JSON

4 packages

create

1.0.0 · .claude/skills/create

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

update

1.0.0 · .claude/skills/update

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

upgrade-environment

1.0.0 · .claude/skills/upgrade-environment

pkgs.agent-skills.github.popschlock.claude-harness-generator.upgrade-environment
Install with home-manager
programs.claude-code.skills.upgrade-environment = pkgs.agent-skills.github.popschlock.claude-harness-generator.upgrade-environment;
Build without the overlay
nix build 'github:sudosubin/agents.nix#agent-skills.aarch64-darwin.github.popschlock.claude-harness-generator.upgrade-environment'

validate-environment

1.0.0 · .claude/skills/validate-environment

pkgs.agent-skills.github.popschlock.claude-harness-generator.validate-environment
Install with home-manager
programs.claude-code.skills.validate-environment = pkgs.agent-skills.github.popschlock.claude-harness-generator.validate-environment;
Build without the overlay
nix build 'github:sudosubin/agents.nix#agent-skills.aarch64-darwin.github.popschlock.claude-harness-generator.validate-environment'

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.