Universal CLI orchestrator with multi-runner support. Autonomous spec-driven development pipeline with dependency DAG, parallel worktree execution, two-stage review gates, DAG intelligence validation, and modular merge hardening
npx claudepluginhub andyzengmath/quantum-loopUniversal CLI orchestrator with multi-runner support. Autonomous spec-driven development with dependency DAG, parallel worktree execution, two-stage review gates, and modular merge hardening.
Official prompts.chat marketplace - AI prompts, skills, and tools for Claude Code
Behavioral guidelines to reduce common LLM coding mistakes, derived from Andrej Karpathy's observations
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Your AI agent writes code. Quantum-Loop makes sure it writes the right code.
A Claude Code plugin that turns a one-line feature description into verified, reviewed, autonomously-implemented code -- through structured specs, dependency-aware execution, parallel worktree agents, and mandatory verification gates that prevent AI agents from cutting corners.
Named after Loop Quantum Gravity: spacetime is built from discrete, verified loops. So is your codebase.
AI coding agents are fast. They're also confidently wrong. They skip tests, ignore specs, claim "it should work" without checking, and produce code that drifts from requirements with each iteration.
Quantum-Loop solves this with three principles:
/quantum-loop:ql-brainstorm → /quantum-loop:ql-spec → /quantum-loop:ql-plan → /quantum-loop:ql-execute
│ │ │ │
Socratic 9-section quantum.json Autonomous loop
dialogue PRD with DAG with gates
│ │ │ │
▼ ▼ ▼ ▼
design.md prd-*.md Stories with Verified, reviewed,
(approved) (verifiable 2-5 min tasks committed code
criteria)
Each phase produces an artifact consumed by the next. Skip a phase and the next one catches it. The execution loop runs until every story passes both review gates -- or tells you exactly why it can't.
Option 1: Plugin marketplace (requires Claude Code >= 1.0.33)
# In Claude Code:
/plugin marketplace add andyzengmath/quantum-loop
/plugin install quantum-loop@quantum-loop
Option 2: Local plugin flag (any version)
git clone https://github.com/andyzengmath/quantum-loop.git
claude --plugin-dir ./quantum-loop
Option 3: Manual config (if the above don't work)
Clone the repo, then edit three files in ~/.claude/:
.claude-plugin/marketplace.json:
{
"name": "quantum-loop",
"source": { "source": "url", "url": "https://github.com/andyzengmath/quantum-loop.git" },
"description": "Spec-driven autonomous development loop",
"version": "0.3.3",
"strict": true
}
plugins/installed_plugins.json:
"quantum-loop@<marketplace-name>": [{
"scope": "user",
"installPath": "/path/to/quantum-loop",
"version": "0.3.3",
"installedAt": "2026-02-18T00:00:00.000Z",
"lastUpdated": "2026-02-18T00:00:00.000Z"
}]
settings.json under enabledPlugins:
"quantum-loop@<marketplace-name>": true
After any install method, restart Claude Code. Commands use the quantum-loop: prefix (e.g., /quantum-loop:ql-brainstorm) or the short form (/ql-brainstorm).
# Step 1: Explore the idea (Socratic Q&A, 2-3 approaches, section-by-section approval)
/quantum-loop:ql-brainstorm Add a task priority system with filtering
# Step 2: Generate formal spec (5-8 lettered questions, respond "1A, 2C, 3B")
/quantum-loop:ql-spec
# Step 3: Create execution plan (dependency DAG, granular tasks, verification commands)
/quantum-loop:ql-plan
# Step 4a: Execute interactively (auto-detects parallelism)
/quantum-loop:ql-execute
# Step 4b: Or run autonomously -- sequential (one story at a time)
./quantum-loop.sh --max-iterations 20
# Step 4b (alt): Run with a different coding agent
./quantum-loop.sh --tool codex --max-iterations 20
./quantum-loop.sh --tool gemini --max-iterations 10
# Step 4c: Or run autonomously -- parallel (independent stories run concurrently)
./quantum-loop.sh --parallel --max-parallel 4 --max-iterations 20
# Step 4d: Windows autonomous (native PowerShell, no bash required)
.\quantum-loop.ps1 -MaxIterations 20 -SkipPermissions
.\quantum-loop.ps1 -Tool codex -MaxIterations 20
Quantum-loop can orchestrate any terminal-based coding agent CLI via JSON manifest files. Switch runners with --tool <name>.