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andyzengmath/quantum-loop

agent-skills via skillsdirectory-com

Upstream
github.com/andyzengmath/quantum-loop
Version
0.11.5
Source details
Revision
v0.11.5 tag
Hash
sha256-3M0pS1sfXNCy/zJKbChYnh5Q6je4DHCxBiZw3zSDLGI=
Snapshot
data/agent-skills/github.com/andyzengmath/quantum-loop.json · latest JSON

10 packages

ql-brainstorm

0.11.5 · skills/ql-brainstorm 

pkgs.agent-skills.github.andyzengmath.quantum-loop.ql-brainstorm
Install with home-manager 
programs.claude-code.skills.ql-brainstorm = pkgs.agent-skills.github.andyzengmath.quantum-loop.ql-brainstorm;
Build without the overlay 
nix build 'github:sudosubin/agents.nix#agent-skills.aarch64-darwin.github.andyzengmath.quantum-loop.ql-brainstorm'

ql-deep-review

0.11.5 · skills/ql-deep-review 

pkgs.agent-skills.github.andyzengmath.quantum-loop.ql-deep-review
Install with home-manager 
programs.claude-code.skills.ql-deep-review = pkgs.agent-skills.github.andyzengmath.quantum-loop.ql-deep-review;
Build without the overlay 
nix build 'github:sudosubin/agents.nix#agent-skills.aarch64-darwin.github.andyzengmath.quantum-loop.ql-deep-review'

ql-deslop

0.11.5 · skills/ql-deslop 

pkgs.agent-skills.github.andyzengmath.quantum-loop.ql-deslop
Install with home-manager 
programs.claude-code.skills.ql-deslop = pkgs.agent-skills.github.andyzengmath.quantum-loop.ql-deslop;
Build without the overlay 
nix build 'github:sudosubin/agents.nix#agent-skills.aarch64-darwin.github.andyzengmath.quantum-loop.ql-deslop'

ql-execute

0.11.5 · skills/ql-execute 

pkgs.agent-skills.github.andyzengmath.quantum-loop.ql-execute
Install with home-manager 
programs.claude-code.skills.ql-execute = pkgs.agent-skills.github.andyzengmath.quantum-loop.ql-execute;
Build without the overlay 
nix build 'github:sudosubin/agents.nix#agent-skills.aarch64-darwin.github.andyzengmath.quantum-loop.ql-execute'

ql-housekeep

0.11.5 · skills/ql-housekeep 

pkgs.agent-skills.github.andyzengmath.quantum-loop.ql-housekeep
Install with home-manager 
programs.claude-code.skills.ql-housekeep = pkgs.agent-skills.github.andyzengmath.quantum-loop.ql-housekeep;
Build without the overlay 
nix build 'github:sudosubin/agents.nix#agent-skills.aarch64-darwin.github.andyzengmath.quantum-loop.ql-housekeep'

ql-intent-check

0.11.5 · skills/ql-intent-check 

pkgs.agent-skills.github.andyzengmath.quantum-loop.ql-intent-check
Install with home-manager 
programs.claude-code.skills.ql-intent-check = pkgs.agent-skills.github.andyzengmath.quantum-loop.ql-intent-check;
Build without the overlay 
nix build 'github:sudosubin/agents.nix#agent-skills.aarch64-darwin.github.andyzengmath.quantum-loop.ql-intent-check'

ql-plan

0.11.5 · skills/ql-plan 

pkgs.agent-skills.github.andyzengmath.quantum-loop.ql-plan
Install with home-manager 
programs.claude-code.skills.ql-plan = pkgs.agent-skills.github.andyzengmath.quantum-loop.ql-plan;
Build without the overlay 
nix build 'github:sudosubin/agents.nix#agent-skills.aarch64-darwin.github.andyzengmath.quantum-loop.ql-plan'

ql-review

0.11.5 · skills/ql-review 

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

ql-spec

0.11.5 · skills/ql-spec 

pkgs.agent-skills.github.andyzengmath.quantum-loop.ql-spec
Install with home-manager 
programs.claude-code.skills.ql-spec = pkgs.agent-skills.github.andyzengmath.quantum-loop.ql-spec;
Build without the overlay 
nix build 'github:sudosubin/agents.nix#agent-skills.aarch64-darwin.github.andyzengmath.quantum-loop.ql-spec'

ql-verify

0.11.5 · skills/ql-verify 

pkgs.agent-skills.github.andyzengmath.quantum-loop.ql-verify
Install with home-manager 
programs.claude-code.skills.ql-verify = pkgs.agent-skills.github.andyzengmath.quantum-loop.ql-verify;
Build without the overlay 
nix build 'github:sudosubin/agents.nix#agent-skills.aarch64-darwin.github.andyzengmath.quantum-loop.ql-verify'

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.