Dart task management with adversarial cooperation loops and full dart-query MCP schema parity - DartQL batch operations, advanced filtering, task relationships, documents, time tracking, and automated task execution through quality verification pipelines.
Configure dartai settings for the current project
Show current Ralph Wiggum loop status and task progress
Set up dart-query MCP server with SLOP management and configure Dart access token
Configure project-specific DartAI role rules
Start the Ralph Wiggum adversarial cooperation loop on a dartboard with plan adjustment
Reviews code for coherence, best practices, bloat, completeness, duplication, and cleanup - the fast adversarial gate for code quality
Update documentation after task completion including CHANGELOG, README, and Dart comments
Deep sequential review after quality gates pass - security audit (OWASP), in-depth code analysis, PM/documentation review, and replan recommendations
Reviews test quality, assertion strength, edge cases, TDD compliance, requirements traceability, and testability - the fast adversarial gate for QA
Execute a Dart task through the adversarial quality pipeline with plan adjustment at each phase
Uses power tools
Uses Bash, Write, or Edit tools
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AI coding agent toolkit - browser superpowers, code intelligence, and development tools.
This marketplace contains 13 plugins for Claude Code:
| Plugin | Description | Version | Category |
|---|---|---|---|
| agnt | Browser superpowers: process management, reverse proxy, frontend debugging, sketch mode | 0.7.12 | development |
| lci | Lightning Code Index: sub-millisecond semantic code search | 0.4.0 | development |
| tools | Complete toolkit combining agnt and lci | 1.0.0 | development |
| mcp-architect | Design high-quality MCP servers with progressive discovery and token efficiency | 0.1.0 | development |
| mcp-tester | MCP server testing and debugging with mcp-debug | 0.2.0 | development |
| slop-mcp | SLOP integration for MCP management and orchestration | 0.2.0 | development |
| slop-coder | SLOP language coding assistant and reference | 0.1.0 | development |
| dartai | Dart task management with adversarial cooperation loops | 0.3.0 | development |
| workflow | General-purpose adversarial workflow automation | 0.1.0 | development |
| figma-query | Token-efficient Figma integration with design library extraction | 0.1.0 | design |
| ux-design | UX design principles, color theory, typography, and accessibility | 0.1.0 | design |
| ux-developer | UX-driven development with WCAG 2.2 and usability best practices | 0.1.0 | development |
| prompt-engineer | State-of-the-art prompt and context engineering for 2026 | 0.1.0 | ai |
# Via npm (recommended)
npm install -g @standardbeagle/agnt @standardbeagle/lci
# Via pip
pip install agnt lightning-code-index
# Via Go (lci only)
go install github.com/standardbeagle/lci/cmd/lci@latest
Option A: Via slop-mcp (recommended if available)
mcp__plugin_slop-mcp_slop-mcp__manage_mcps
{ "action": "register", "name": "agnt", "command": "npx", "args": ["-y", "@standardbeagle/agnt", "mcp"], "scope": "user" }
{ "action": "register", "name": "lci", "command": "npx", "args": ["-y", "@standardbeagle/lci", "mcp"], "scope": "user" }
Option B: Add to .mcp.json
{
"agnt": {
"command": "npx",
"args": ["-y", "@standardbeagle/agnt", "mcp"]
},
"lci": {
"command": "npx",
"args": ["-y", "@standardbeagle/lci", "mcp"]
}
}
The plugins provide commands, skills, and agents that help you use the MCP tools:
# Install the complete toolkit (recommended)
claude plugin add tools@standardbeagle-tools
# Or install individual plugins
claude plugin add agnt@standardbeagle-tools
claude plugin add lci@standardbeagle-tools
Give your AI coding agent browser superpowers:
__devtool API)Requirements: agnt binary via npm/pip or GitHub releases
Sub-millisecond semantic code search and code intelligence:
Requirements: lci binary via npm/pip/go or GitHub releases
Best of both worlds - combines agnt and lci for the ultimate AI coding experience.
Requirements: Both agnt and lci binaries
standardbeagle-tools/
├── .claude-plugin/
│ └── marketplace.json # Marketplace registry
├── plugins/
│ ├── agnt/ # Browser superpowers plugin
│ │ ├── .claude-plugin/
│ │ ├── commands/
│ │ ├── skills/
│ │ ├── agents/
│ │ └── mcp.json.disabled
│ ├── lci/ # Code intelligence plugin
│ │ ├── .claude-plugin/
│ │ ├── commands/
│ │ ├── skills/
│ │ └── mcp.json.disabled
│ └── tools/ # Combined plugin
│ ├── .claude-plugin/
│ ├── commands/
│ ├── agents/
│ └── mcp.json.disabled
└── README.md
MCP server testing and debugging toolkit. Dynamic server management, traffic analysis, schema validation, and hot-swap development workflows.
SLOP MCP integration for dynamic MCP server management. Migrate existing configs, register servers at runtime, search and execute tools across servers, automate workflows with SLOP scripts, and orchestrate multi-server pipelines. Includes Dart MCP tool reference skills.
Prompt and context engineering toolkit. Includes DSPy-inspired optimization, Claude patterns, context engineering, chain-of-thought design, RAG prompting, and multi-agent orchestration techniques.
General-purpose adversarial workflow automation with Ralph Wiggum loops. Context-aware task execution with clean subagent isolation, multi-stage verification, hook-based iteration tracking, and intelligent memory preservation before context compaction. Inspired by Goose Ralph loops and g3 principles.
SLOP language coding assistant - teaches LLMs how to write SLOP code with comprehensive language reference, patterns, and best practices for building AI agents and orchestration workflows.
npx claudepluginhub standardbeagle/standardbeagle-tools --plugin dartaiOfficial ClickUp MCP server integration with OAuth authentication. Provides task management, workspace access, and ensures work completeness. Zero configuration - OAuth handles authentication automatically.
Claude Code integration for MCP Task Orchestrator — schema-aware context, note-driven workflow
Autonomous multi-agent development framework with spec-driven sprints and convergent iteration
AI-powered agents for specialized development tasks
Curated Claude Code skills and commands for prompt engineering, MCP servers, subagents, hooks, and productivity workflows
This skill should be used when the model's ROLE_TYPE is orchestrator and needs to delegate tasks to specialist sub-agents. Provides scientific delegation framework ensuring world-building context (WHERE, WHAT, WHY) while preserving agent autonomy in implementation decisions (HOW). Use when planning task delegation, structuring sub-agent prompts, or coordinating multi-agent workflows.