Claude Skills by jeremylongshore

'Track and monitor Kling AI video generation task status. Use when building

'Avoid common mistakes when using Kling AI API. Use when troubleshooting

'Explore Kling AI models, versions, and capabilities for video and image

'Optimize Kling AI for speed, quality, and cost efficiency. Use when

'Understand Kling AI pricing, credits, and cost optimization strategies.

'Production readiness checklist for Kling AI integrations. Use before

'Handle Kling AI API rate limits with backoff and queuing strategies.

'Production reference architecture for Kling AI video generation platforms.

'Production SDK patterns for Kling AI: client wrapper, retry logic, async

'Download and store Kling AI generated videos in cloud storage (S3, GCS,

'Apply artistic styles and visual effects to Kling AI video generation.

'Configure Kling AI for teams with per-project API keys, usage quotas,

'Generate videos from text prompts with Kling AI. Use when creating videos

'Migrate between Kling AI model versions safely. Use when upgrading from

'Build usage analytics and reporting for Kling AI video generation. Use

'Extend video duration using Kling AI continuation. Use when creating

'Configure webhook callbacks for Kling AI task completion. Use when building

"Wire LangChain 1.0 / LangGraph 1.0 tests into a GitHub Actions pipeline\

"Paste-match catalog of 14 real LangChain 1.0 / LangGraph 1.0 exceptions\

"Works correctly with LangChain 1.0's typed content blocks on AIMessage.content\n\

"Compose LangChain 1.0 chains with RunnableParallel, RunnableBranch,\n\

'Control LangChain 1.0 AI spend with accurate streaming token accounting,

"Load and chunk documents for LangChain 1.0 RAG pipelines correctly \u2014\

"Produce a reproducible, sanitized diagnostic bundle for a LangChain\

"Build a LangGraph 1.0 Deep Agent \u2014 planner + subagents + virtual\

Deploy a LangChain 1.0 / LangGraph 1.0 app to Cloud Run, Vercel, or LangServe correctly — with timeouts sized for chain length, cold-start mitigation, SSE anti-buffering headers, and Secret Manager over .env. Use when prepping a first production deploy, debugging a stream that hangs behind a proxy, or diagnosing p99 latency spikes. Trigger with "langchain deploy", "langchain cloud run", "langchain vercel python", "langchain langserve", or "langchain docker".

'Build and query vector stores with LangChain 1.0 without getting burned

"Enforce tenant isolation and role-based access across LangChain 1.0\

"Build reproducible evaluation pipelines for LangChain 1.0 chains and\

"Triage LangChain 1.0 / LangGraph 1.0 production incidents \u2014 LLM-specific\

Build a correct LangGraph 1.0 ReAct agent with create_react_agent — typed tools, error propagation, recursion caps, and stop conditions that actually stop. Use when writing a first tool-calling agent, migrating from AgentExecutor or initialize_agent, or diagnosing an agent that loops on vague prompts. Trigger with "langgraph agent", "create_react_agent", "langgraph tool calling", "AgentExecutor migration", or "agent loop cost".

"Build a correct LangGraph 1.0 StateGraph \u2014 typed TypedDict state\

"Persist LangGraph agent state correctly with MemorySaver and PostgresSaver\

"Build LangGraph 1.0 human-in-the-loop approval flows with interrupt_before\

'Pick the correct LangGraph 1.0 stream_mode ("messages" vs "updates"

"Compose LangGraph 1.0 subgraphs correctly \u2014 shared state key propagation,\n\

"Build a fast, deterministic local test loop for LangChain 1.0 / LangGraph\

"Build composable middleware for LangChain 1.0 chains and LangGraph 1.0\

'Invoke Claude, GPT-4o, and Gemini through LangChain 1.0 without tripping

"Build reliable dev / staging / prod isolation for LangChain 1.0 services\

"Wire LangSmith tracing and custom metric callbacks into a LangChain\

'Wire LangChain 1.0 / LangGraph 1.0 traces into an OpenTelemetry-native

"Tune LangChain 1.0 / LangGraph 1.0 Python chains and agents for throughput,\n\

"Manage LangChain 1.0 prompts like code \u2014 LangSmith prompt hub versioning,\n\

"Rate-limit LangChain 1.0 calls correctly across multi-worker deployments\

"A reference layered architecture for production LangChain 1.0 / LangGraph\

'Compose LangChain 1.0 Python runnables with the production defaults

"Harden a LangChain 1.0 chain or LangGraph agent against prompt injection,\

"Migrate a LangChain 0.3.x Python codebase to LangChain 1.0 / LangGraph\

"Dispatch LangChain 1.0 chain/agent events to external systems \u2014\