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Claude Skills by shyftlabs
github.com/shyftlabs29 skills0 installs26 views
- Continuum QuickstartGet a Continuum agent up and running — Python 3.13 venv, infra via docker compose, smallest possible BaseAgent + AgentRunner example. Invoke when the user asks "how do I start", "set up Continuum", "run my first agent", or is at the very beginning of a project.Votes: 0GitHub stars: 85
- Continuum RecipesCopy-pasteable Continuum patterns — RAG, plan-and-execute, ReAct, multi-tenant agents, FastAPI integration, structured output, prompt-injection scanning, custom containers. Invoke when the user asks "how do I do X with Continuum" and X is a common app pattern rather than a single API question.Votes: 0GitHub stars: 85
- Continuum StreamingStream tokens, tool calls, handoffs, and memory events out of a Continuum agent in real time using `runner.run_stream()` and the `EventType` enum. Invoke when the user asks "stream tokens to UI", "websocket chat", "live progress", "see tool execution as it happens", or anything that needs token-by-token output.Votes: 0GitHub stars: 85
- Continuum TemporalBuild durable agent workflows with Temporal — sequential/parallel/loop/conditional steps, human-in-the-loop approval gates, custom workflows and activities. Invoke when the user asks "long-running workflow", "approval gate", "human in the loop", "retry on failure", "workflow survives restart", or anything Temporal-related.Votes: 0GitHub stars: 85
- Continuum TestingWrite tests for Continuum agents — mock LLM and memory clients via the DI Container, use fakeredis for sessions, snapshot agent responses, and run pytest-asyncio. Invoke when the user asks "test my agent", "mock the LLM", "fakeredis", "container injection", "pytest", or wants their CI to validate agent behavior without burning real API tokens.Votes: 0GitHub stars: 85
- Continuum Tools McpConnect MCP servers (Stdio/SSE/StreamableHTTP) to a Continuum agent, configure tool filtering, set up tool-context capture/injection (e.g. session_id), and read run artifacts (UI widgets, structured tool data). Invoke when the user asks "connect MCP", "filesystem tool", "remote API tool", "auto-capture session_id", "agent uses too many tools", or "expose widget data".Votes: 0GitHub stars: 85
- Continuum WorkflowsUse Continuum's nine workflow agents — Sequential, Parallel, Loop, Reflection, Router, Planner, Debate, Scatter, SupervisedSequential — to build multi-agent pipelines. Invoke when the user asks "chain agents", "run agents in parallel", "iterate until done", "self-improving agent", "route to specialist", "decompose a goal", or anything multi-agent.Votes: 0GitHub stars: 85
- Swarm OrchestrationOrchestrate multi-agent swarms with agentic-flow for parallel task execution, dynamic topology, and intelligent coordination. Use when scaling beyond single agents, implementing complex workflows, or building distributed AI systems.Votes: 0GitHub stars: 85
- Continuum AgentBuild BaseAgent instances and run them with AgentRunner — covers fields, lifecycle hooks, structured outputs, ReAct mode, instruction modifiers, and the full execution flow. Invoke when the user asks "create an agent", "configure max_turns", "add lifecycle hooks", "structured output with Pydantic", or anything around the core agent abstraction.Votes: 0GitHub stars: 85
- Continuum Claude CodeSet up Claude Code for a Continuum project — CLAUDE.md wiring, skill imports, project settings, and hooks. Invoke when the user asks "set up Claude Code for my project", "CLAUDE.md for Continuum", "add skills to my project", or "configure Claude Code hooks".Votes: 0GitHub stars: 85
- Continuum CodexSet up OpenAI Codex CLI for a Continuum project — AGENTS.md content, project conventions, and what Codex needs to write correct Continuum code. Invoke when the user asks "set up Codex for my project", "AGENTS.md for Continuum", or "configure Codex CLI".Votes: 0GitHub stars: 85
- Continuum CursorSet up Cursor for a Continuum project — .cursor/rules/ MDC file, glob patterns, and what to include so Cursor generates correct Continuum code. Invoke when the user asks "set up Cursor for my project", "Cursor rules for Continuum", ".cursor/rules", or "MDC file for Continuum".Votes: 0GitHub stars: 85
- Continuum EvaluationEvaluate agent quality with the `EvaluatorAgent`, build golden datasets from Langfuse traces, and run DeepEval/RAGAS metrics over conversations. Invoke when the user asks "test agent quality", "evaluate output", "RAG metrics", "DeepEval", "RAGAS", or "regression-test my agent".Votes: 0GitHub stars: 85
- Continuum HandoffsBuild agent-to-agent transitions with Continuum's `Handoff` system — triage routing, history summarization modes (FULL/SUMMARY/RECENT_N/HYBRID), cycle detection, depth tracking, return-to-parent. Invoke when the user asks "route customer requests to specialists", "agent that can transfer to another", "summarize history before handing off", or anything multi-agent that's a *transition* (not a *workflow*).Votes: 0GitHub stars: 85
- Continuum Llm ProvidersPick the right LLM provider, configure structured outputs, control context-window compression, and use the LLMClient directly. Provider routing is by model-string prefix; LiteLLM has been removed. Also covers Smart Gateway integration for multi-provider routing. Invoke when the user asks about "switch to Claude", "Gemini structured output", "context length error", "rate limiting", "JSON schema", "Smart Gateway", "gateway_mode", or "how does the LLM client work".Votes: 0GitHub stars: 85
- Continuum MemoryConfigure and use Continuum's two-tier memory system — mem0+Qdrant/Milvus for long-term facts, Redis for short-term sessions, with multi-tenant scopes (USER / AGENT / SHARED / RUN / CONVERSATION). Invoke when the user asks about "remember", "user preferences", "long-term memory", "vector search over memories", "multi-tenant isolation", "PII filtering on memory writes", "Milvus", "Qdrant", or memory-related errors.Votes: 0GitHub stars: 85
- Continuum ObservabilityTrace agent runs with Langfuse, decorate functions with @observe, collect latency/token/error metrics, and report errors. Invoke when the user asks about "see what the LLM was prompted with", "Langfuse traces", "track latency", "metrics dashboard", "error reporting", or "instrument my function".Votes: 0GitHub stars: 85
- Reasoningbank IntelligenceImplement adaptive learning with ReasoningBank for pattern recognition, strategy optimization, and continuous improvement. Use when building self-learning agents, optimizing workflows, or implementing meta-cognitive systems.Votes: 0GitHub stars: 85
- BrowserWeb browser automation with AI-optimized snapshots for claude-flow agentsVotes: 0GitHub stars: 85
- Sparc MethodologySPARC (Specification, Pseudocode, Architecture, Refinement, Completion) comprehensive development methodology with multi-agent orchestrationVotes: 0GitHub stars: 85
- V3 Cli ModernizationCLI modernization and hooks system enhancement for claude-flow v3. Implements interactive prompts, command decomposition, enhanced hooks integration, and intelligent workflow automation.Votes: 0GitHub stars: 85
- V3 Core ImplementationCore module implementation for claude-flow v3. Implements DDD domains, clean architecture patterns, dependency injection, and modular TypeScript codebase with comprehensive testing.Votes: 0GitHub stars: 85
- V3 Ddd ArchitectureDomain-Driven Design architecture for claude-flow v3. Implements modular, bounded context architecture with clean separation of concerns and microkernel pattern.Votes: 0GitHub stars: 85
- V3 Integration DeepDeep agentic-flow@alpha integration implementing ADR-001. Eliminates 10,000+ duplicate lines by building claude-flow as specialized extension rather than parallel implementation.Votes: 0GitHub stars: 85
- V3 Mcp OptimizationMCP server optimization and transport layer enhancement for claude-flow v3. Implements connection pooling, load balancing, tool registry optimization, and performance monitoring for sub-100ms response times.Votes: 0GitHub stars: 85
- V3 Memory UnificationUnify 6+ memory systems into AgentDB with HNSW indexing for 150x-12,500x search improvements. Implements ADR-006 (Unified Memory Service) and ADR-009 (Hybrid Memory Backend).Votes: 0GitHub stars: 85
- V3 Performance OptimizationAchieve aggressive v3 performance targets: 2.49x-7.47x Flash Attention speedup, 150x-12,500x search improvements, 50-75% memory reduction. Comprehensive benchmarking and optimization suite.Votes: 0GitHub stars: 85
- V3 Security OverhaulComplete security architecture overhaul for claude-flow v3. Addresses critical CVEs (CVE-1, CVE-2, CVE-3) and implements secure-by-default patterns. Use for security-first v3 implementation.Votes: 0GitHub stars: 85
- V3 Swarm Coordination15-agent hierarchical mesh coordination for v3 implementation. Orchestrates parallel execution across security, core, and integration domains following 10 ADRs with 14-week timeline.Votes: 0GitHub stars: 85