By masharratt
CFN Loop skill for unified error handling, batching, and structured logging across agent failures with categorization and recovery.
**Total Agents:** 607
**ABSOLUTE RULES**:
**Total Agents:** 607 organized in 8 main categories and 36 subcategories
**Analysis Date:** 2025-10-18
**Source:** [610ClaudeSubagents](https://github.com/ChrisRoyse/610ClaudeSubagents)
Uses power tools
Uses Bash, Write, or Edit tools
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Sign in to claimnpx claudepluginhub masharratt/claude-flow-noviceBased on adoption, maintenance, documentation, and repository signals. Not a security audit or endorsement.
Version: 2.18.1 (RuVector Integration) Last Updated: 2025-12-05
Package Metrics:
AI agent orchestration with semantic codebase search, Redis coordination, and multi-loop consensus validation (CFN Loop).
npx claude-flow-noviceCFN_REDIS_HOST=localhost for non-Docker environments (see CLI Mode Redis Configuration)/custom-routing-activate for 95-98% total cost savings when using CLI mode/cfn-loop-task: Task mode execution (Main Chat → Task() agents)/cfn-loop-cli: CLI mode execution (Main Chat → coordinator → CLI agents)--mode=mvp|standard|enterprise with different confidence thresholds# Install and initialize
npm install claude-flow-novice
npx cfn-init
# Execute CFN Loop - Main Chat spawns Task() agents directly
/cfn-loop-task "Implement JWT authentication" --mode=standard
# Custom routing available for 5x cost reduction
/custom-routing-activate
# Install and initialize
npm install claude-flow-novice
npx cfn-init
# Configure Redis for non-Docker environments
export CFN_REDIS_HOST=localhost
export CFN_REDIS_PORT=6379
# Execute CFN Loop - Coordinator spawns CLI agents in background
/cfn-loop-cli "Implement JWT authentication" --mode=standard
# Initialize swarm with skills
npx claude-flow-novice swarm "Task Description" \
--skills=redis-coordination,agent-spawning \
--strategy development
.cfn-manifest.json tracks CFN vs custom filesMulti-agent orchestration with AI SDK v5 - handoffs, routing, and coordination for any AI provider (OpenAI, Anthropic, Google)
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.
Enterprise AI agent orchestration plugin with 150+ commands, 74+ specialized agents, SPARC methodology, swarm coordination, GitHub integration, and neural training capabilities
Unified capability management center for Skills, Agents, and Commands.
Intelligent orchestration platform for AI coding tools — routes tasks to the best model, learns from outcomes, and enforces quality through multi-model consensus. 47 MCP tools for agent management, research, memory, consensus voting, codebase intelligence, and a full dev pipeline.
Multi-agent orchestration framework for Claude Code. Routes tasks to specialized Haiku/Sonnet subagents while Opus orchestrates — inspired by speculative decoding. Includes 10 specialized heads, environment preflight checks, and ~50% API cost reduction.