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.
Uses power tools
Uses Bash, Write, or Edit tools
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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.
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.
MCP server development helper with tool and resource scaffolding
MCP server configuration for Agent SOP integration providing Standard Operating Procedures (SOPs) for AI agents with markdown-based workflow definitions, RFC 2119 compliance, and SOP authoring skills.
MCP servers for Codex integration
Transform Claude Code into a structured development platform with 29 /sc: commands, 23 specialized agents, 7 behavioral modes, and MCP server integration
No description provided.
Build FastMCP 3.x Python MCP servers — covers provider/transform architecture (including CodeMode, Tool Search, and server-level transforms), component versioning, session state, authorization (MultiAuth, PropelAuth, connection-pooled token verifiers), evaluation creation, Pydantic validation, async patterns, STDIO and HTTP transports, nginx reverse proxy deployment, background tasks, Prefab Apps UI, security patterns, client SDK usage, testing, deployment, and migration from FastMCP v2. TypeScript is a legacy reference only and is not updated for v3.