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jeremylongshore

jeremylongshore

2380 Skills published on GitHub.

klingai-rate-limits

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

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klingai-reference-architecture

'Production reference architecture for Kling AI video generation platforms.

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klingai-sdk-patterns

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

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klingai-storage-integration

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

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klingai-style-transfer

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

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klingai-team-setup

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

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klingai-text-to-video

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

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klingai-upgrade-migration

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

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klingai-usage-analytics

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

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klingai-video-extension

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

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klingai-webhook-config

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

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langchain-ci-integration

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

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langchain-common-errors

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

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langchain-content-blocks

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

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langchain-core-workflow

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

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langchain-cost-tuning

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

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langchain-data-handling

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

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langchain-debug-bundle

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

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langchain-deep-agents

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

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langchain-deploy-integration

"Deploy a LangChain 1.0 / LangGraph 1.0 app to Cloud Run, Vercel, or\

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langchain-embeddings-search

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

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langchain-enterprise-rbac

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

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langchain-eval-harness

"Build reproducible evaluation pipelines for LangChain 1.0 chains and\

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langchain-incident-runbook

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

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langchain-langgraph-agents

"Build a correct LangGraph 1.0 ReAct agent with `create_react_agent`\

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langchain-langgraph-basics

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

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langchain-langgraph-checkpointing

"Persist LangGraph agent state correctly with MemorySaver and PostgresSaver\

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langchain-langgraph-human-in-loop

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

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langchain-langgraph-streaming

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

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langchain-langgraph-subgraphs

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

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langchain-local-dev-loop

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

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langchain-middleware-patterns

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

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langchain-model-inference

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

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langchain-multi-env-setup

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

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langchain-observability

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

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langchain-otel-observability

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

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langchain-performance-tuning

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

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langchain-prompt-engineering

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

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langchain-rate-limits

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

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langchain-reference-architecture

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

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langchain-sdk-patterns

'Compose LangChain 1.0 Python runnables with the production defaults

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langchain-security-basics

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

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langchain-upgrade-migration

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

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langchain-webhooks-events

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

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langfuse-ci-integration

'Configure Langfuse CI/CD integration with GitHub Actions and automated

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langfuse-common-errors

'Diagnose and fix common Langfuse errors and exceptions.

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langfuse-core-workflow-a

'Execute Langfuse primary workflow: Tracing LLM calls and spans.

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langfuse-core-workflow-b

'Execute Langfuse secondary workflow: Evaluation, scoring, and datasets.

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langfuse-cost-tuning

'Monitor and optimize LLM costs using Langfuse analytics and dashboards.

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langfuse-data-handling

'Manage Langfuse data export, retention, and compliance requirements.

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