Prompt and context engineering toolkit. Includes DSPy-inspired optimization, Claude patterns, context engineering, chain-of-thought design, RAG prompting, and multi-agent orchestration techniques.
Analyze prompts for clarity, effectiveness, and optimization opportunities
Compress context to fit within token limits while preserving signal
Audit context window usage and identify optimization opportunities
Guide through creating an effective system prompt from scratch
Evaluate prompt effectiveness using metrics and test cases
Specialized agent for designing context window architecture and memory systems
Specialized agent for prompt evaluation, testing, and continuous improvement
Autonomous agent for analyzing and optimizing prompts using current techniques
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
npx claudepluginhub standardbeagle/standardbeagle-tools --plugin prompt-engineerDart 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.
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.
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.
Expert Prompt Engineer with Context Engineering, Meta-Prompting, Chain-of-Thought, Few-Shot, Agent Design, 50+ Template Library, and A/B Testing
Agents for UI/UX design, accessibility, and user experience optimization
Transform Claude Code into a structured development platform with 29 /sc: commands, 23 specialized agents, 7 behavioral modes, and MCP server integration
Agents specialized in prompt engineering and AI interaction. Focuses on effective prompt design and AI model optimization.
DevsForge Enterprise Prompt Optimization Architect delivering strategic prompt engineering methodologies, AI interaction optimization, and communication excellence frameworks
Claude Code workflow patterns: prompting, CLAUDE.md maintenance, multi-agent orchestration