Skill.md
- SKILL.md
--- name: llm-application-dev-langchain-agent description: You are an expert LangChain agent developer specializing in production-grade AI systems using LangChain 0.1+ and LangGraph. ---
Library Skill.md library
Each one names the GitHub repo it came from, so you can check exactly what it tells your AI to do.
274991 Skill.md files
--- name: llm-application-dev-langchain-agent description: You are an expert LangChain agent developer specializing in production-grade AI systems using LangChain 0.1+ and LangGraph. ---
--- name: llm-application-dev-prompt-optimize description: You are an expert prompt engineer specializing in crafting effective prompts for LLMs through advanced techniques including constitutional AI, chain-of-thought reasoning, and model-specific optimizati ---
--- name: llm-cost-optimization description: Reduce LLM API and infrastructure costs through model selection, prompt caching, batching, caching, quantization, and self-hosting strategies. ---
--- name: llm-council description: Run Fireworks-hosted open-weight model councils that compare responses and synthesize a final answer. ---
--- name: llm-evaluation description: Master comprehensive evaluation strategies for LLM applications, from automated metrics to human evaluation and A/B testing. ---
--- name: llm-fine-tuning description: Set up infrastructure for fine-tuning LLMs with QLoRA, LoRA, and full fine-tuning using Hugging Face TRL, Axolotl, and distributed training with DeepSpeed or FSDP. ---
--- name: llm-gateway description: Deploy an API gateway for LLM traffic with load balancing, rate limiting, key management, semantic caching, fallback routing, and cost tracking. ---
--- name: llm-inference-scaling description: Auto-scale LLM inference clusters on Kubernetes using KEDA, custom GPU metrics, and horizontal pod autoscaling. ---
--- name: llm-ops description: LLM Operations -- RAG, embeddings, vector databases, fine-tuning, prompt engineering avancado, custos de LLM, evals de qualidade e arquiteturas de IA para producao. ---
--- name: llm-prompt-optimizer description: Use when improving prompts for any LLM. Applies proven prompt engineering techniques to boost output quality, reduce hallucinations, and cut token usage. ---
--- name: llm-structured-output description: Get reliable JSON, enums, and typed objects from LLMs using response_format, tool_use, and schema-constrained decoding across OpenAI, Anthropic, and Google APIs. ---
--- name: llmops-platform-engineering description: Build production LLMOps platforms with CI/CD, model promotion workflows, evaluation gates, rollback, and governance across cloud and self-hosted inference. ---
--- name: load-balancing description: Configure load balancers and traffic distribution. Implement health checks and SSL termination. Use when distributing traffic across servers. ---
--- name: local-legal-seo-audit description: Audit and improve local SEO for law firms, attorneys, forensic experts and legal/professional services sites with local presence, focusing on GBP, directories, E-E-A-T and practice/location pages. ---
--- name: logic-diff description: Compare two code versions for semantic equivalence via semi-formal tracing of both versions side-by-side. ---
--- name: logic-explain description: Explain what a specific piece of code actually does for a given input by producing a step-by-step execution trace (interprocedural, with name resolution and type transitions). ---
--- name: logic-fix-all description: Autonomous repository-wide audit-and-fix pipeline: health → review → locate/explain → fix → diff-verify → iterate until clean. Starts with a mandatory consent prompt (token-intensive); after consent runs hands-free. ---
--- name: logic-lens description: AI-powered Claude Code skill that performs deep code review using formal logic and reasoning frameworks to detect bugs, anti-patterns, and security risks beyond what linters catch. ---
--- name: logic-locate description: Locate the root cause of a CONFIRMED failure via backward-then-forward semi-formal tracing. ---
--- name: logic-review description: Find logic bugs in a single file or function via semi-formal execution tracing (Premises → Trace → Divergence → Trigger → Remedy). ---
--- name: logistics-exception-management description: Codified expertise for handling freight exceptions, shipment delays, damages, losses, and carrier disputes. Informed by logistics professionals with 15+ years operational experience. ---
--- name: loki-logging description: Configure Grafana Loki for log aggregation and analysis. ---
--- name: loki-mode description: Version 2.35.0 | PRD to Production | Zero Human Intervention > Research-enhanced: OpenAI SDK, DeepMind, Anthropic, AWS Bedrock, Agent SDK, HN Production (2025) ---
--- name: longbridge-content description: Latest news articles, regulatory filings, community discussion topics for listed stocks, and SEC EDGAR filing analysis (10-K/10-Q/8-K/proxy/Form 4) via Longbridge. ---