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🔖 Task: claude mcp restart error: unknown command 'restart' ...
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🔖 Task: npm install -g @anthropic/claude-cli@latest isn't correct, it npm install -g @anthropic-ai/claude-cl...
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📚 Add comprehensive integration tutorial for Claude Flow + Flow Nexus + ruv-swarm ✨ Tutorial Features: - Complete step-by-step setup guide with prerequisites - Integration patterns and practical examples - Performance optimization tips and WASM acceleration - Troubleshooting section and advanced use cases - Real-world scenarios for enterprise development - Success metrics and KPIs for integration tracking 🎯 Integration Benefits: - 3-10x performance boost with WASM acceleration - 150+ unified MCP tools through single protocol - Local development + cloud scaling workflows - Cognitive intelligence with 5 adaptive patterns - Seamless deployment pipeline from local → cloud 📋 Includes: - Authentication flows for Flow Nexus - Neural network development pipeline - Multi-agent coordination patterns - Enterprise-scale automation examples - Performance benchmarking and optimization 🤖 Generated with Claude Code Co-Authored-By: Claude <noreply@anthropic.com>
🔖 Task: publish alpha 89, create PR and confirm everything works, like init, and new features. ...
🔖 Task: review and reply: https://github.com/ruvnet/claude-flow/issues/641 ...
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🔖 Task: this works for me, it might need the init to be rerun? https://github.com/ruvnet/claude-flow/issues/...
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🔖 Checkpoint: Edit /workspaces/claude-code-flow/claude-flow-wiki/Home.md
📊 Alpha-89: Add Token Tracking & Telemetry System Documentation ✅ CONFIRMED WORKING - Real Claude API token tracking implemented 🆕 New Documentation: - Token-Tracking-Telemetry.md: Comprehensive telemetry guide with real examples - Updated CLAUDE.md: Added telemetry section with working commands - Updated Home.md: References to new telemetry features 🎯 Key Features Documented: - Real token tracking with actual Claude API data capture - Cost analysis with Claude 3 pricing models - Multi-mode support (interactive, non-interactive, hybrid) - Session monitoring and live cost tracking - Zero interference with interactive mode 📊 Real Token Data Example: { "input_tokens": 4, "cache_creation_input_tokens": 30310, "cache_read_input_tokens": 0, "output_tokens": 1 } 🔧 Working Commands: - analysis setup-telemetry - analysis token-usage --breakdown --cost-analysis - analysis claude-monitor - analysis claude-cost 🚀 Status: Ready for production use with enterprise-grade documentation Generated with Claude Code Co-Authored-By: Claude <noreply@anthropic.com>
Enhance documentation for Truth Verification System and Pair Programming System. Add detailed initialization commands, verification modes, and system architecture. Include examples for real-time verification, truth scoring, and rollback management. Update configuration options and best practices for optimal usage.
Enhance session persistence documentation to detail background process management, file context retention, and session commands. Include examples and best practices for effective session handling.
Enhance Benchmark System documentation with new guides and quick reference for SWE-bench integration
Add LiteLLM Integration Guide for Claude Code
Update performance metrics and add Benchmark System documentation
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Add tutorial: Using Claude Code with OpenAI Open Models (GPT-OSS) and Qwen3-Coder Comprehensive guide covering: - Self-hosting on Hugging Face Inference Endpoints - Using OpenRouter as proxy service - LiteLLM proxy for mixed model fleets - Environment variable configuration - Troubleshooting and best practices - Integration with Claude Flow capabilities
docs: Update Stream Chaining documentation with technical details and improved workflow examples
docs: Add Stream Chaining Technical Details documentation and update Home.md
docs: Enhance Stream-JSON Chaining documentation with chain status monitoring and automation commands
feat: Introduce MLE-STAR Workflow and Stream-JSON Chaining documentation - Added comprehensive documentation for the MLE-STAR workflow, detailing its phases, architecture, and execution process. - Included command-line examples for quick start and advanced options. - Documented the Stream-JSON chaining feature, explaining its benefits, implementation details, and usage patterns. - Provided architecture diagrams and examples for various chaining scenarios. - Enhanced troubleshooting and best practices sections for both MLE-STAR and Stream-JSON chaining.
docs: add non-interactive mode and automation tutorials - Add comprehensive Non-Interactive Mode guide - Add GitHub Actions Integration tutorial - Add WebSocket Server tutorial with headless deployment - Update Home page with new documentation links 🤖 Generated with Claude Code (https://claude.ai/code) Co-Authored-By: Claude <noreply@anthropic.com>