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AI & LLM Engineering · By jeremylongshore
Skills
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| # | Skill | Repository | Stars | Used in | Tokens | Auto-check | Licence | Updated |
|---|---|---|---|---|---|---|---|---|
| 145 | Manage Snagit and Camtasia workstation capacity with explicit capture, recorder, export, disk, and queue limits. | jeremylongshore/ | 2.8k | — | ~1.1k | Automated safety check: Pass | MIT | yesterday |
| 146 | Gate Together AI client, batch, fine-tuning, and deployment changes with offline contract tests plus a protected bounded live lane. | jeremylongshore/ | 2.8k | — | ~1k | Automated safety check: Pass | MIT | yesterday |
| 147 | Analyze and diagnose Together AI authentication, billing, request, model, throttling, overload, batch, fine-tuning, and endpoint failures from redacted evidence. | jeremylongshore/ | 2.8k | — | ~1k | Automated safety check: Pass | MIT | yesterday |
| 148 | Prepare, submit, monitor, and disposition a Together AI fine-tuning job using SDK v2, validated training data, explicit cost approval, and separate deployment verification. | jeremylongshore/ | 2.8k | — | ~1.1k | Automated safety check: Pass | MIT | yesterday |
| 149 | Build a bounded Together AI chat-completion probe with a current model selected from the live catalog, optional streaming, usage capture, and redacted evidence. | jeremylongshore/ | 2.8k | — | ~961 | Automated safety check: Pass | MIT | yesterday |
| 150 | Design a production Together AI service with a typed provider boundary, policy-based model routing, serverless and dedicated lanes, batch workers, telemetry, budgets, and reversible degradation. | jeremylongshore/ | 2.8k | — | ~1.1k | Automated safety check: Pass | MIT | yesterday |
| 151 | Encapsulate Together AI SDK v2 behind a typed adapter with catalog-resolved models, bounded retries, streaming normalization, usage capture, and OpenAI-compatible migration seams. | jeremylongshore/ | 2.8k | — | ~1k | Automated safety check: Pass | MIT | yesterday |
| 152 | Convert Together AI batch, fine-tuning, upload, and dedicated-deployment job states into idempotent internal events using bounded polling and an optional owned callback. | jeremylongshore/ | 2.8k | — | ~1k | Automated safety check: Pass | MIT | yesterday |
| 153 | Validate API responses against schemas to ensure contract compliance and data integrity. | jeremylongshore/ | 2.8k | — | ~1.4k | Automated safety check: Pass | MIT | yesterday |
| 154 | Implement lint rules, CI policy checks, and automated guardrails for Vercel projects. | jeremylongshore/ | 2.8k | — | ~2.7k | Automated safety check: Pass | MIT | yesterday |
| 155 | Build and deploy generative AI agents on Vertex AI: Gemini model selection, RAG with grounded retrieval, function calling, multimodal extraction, evaluation, and Agent Engine deployment with… | jeremylongshore/ | 2.8k | — | ~898 | Automated safety check: Pass | MIT | yesterday |
| 156 | Secure Devin Desktop (formerly Windsurf) with context boundaries, repository controls, Rules, Hooks, and MCP review. | jeremylongshore/ | 2.8k | — | ~1.2k | Automated safety check: Notes | MIT | yesterday |
| 157 | Optimize gpu resource optimizer operations. An agent skill from jeremylongshore/tons-of-skills-marketplace. | jeremylongshore/ | 2.8k | — | ~569 | Automated safety check: Pass | MIT | yesterday |
| 158 | Collect Langfuse debug evidence for support tickets and troubleshooting. | jeremylongshore/ | 2.8k | — | ~1.7k | Automated safety check: Pass | MIT | yesterday |
| 159 | Create a minimal working Langfuse trace example. An agent skill from jeremylongshore/tons-of-skills-marketplace. | jeremylongshore/ | 2.8k | — | ~1.9k | Automated safety check: Pass | MIT | yesterday |
| 160 | Install and configure Langfuse SDK authentication for LLM observability. | jeremylongshore/ | 2.8k | — | ~1.7k | Automated safety check: Notes | MIT | yesterday |
| 161 | Build model quantization tool operations. An agent skill from jeremylongshore/tons-of-skills-marketplace. | jeremylongshore/ | 2.8k | — | ~571 | Automated safety check: Pass | MIT | yesterday |
| 162 | Build pytorch model trainer operations. An agent skill from jeremylongshore/tons-of-skills-marketplace. | jeremylongshore/ | 2.8k | — | ~570 | Automated safety check: Pass | MIT | yesterday |
| 163 | Build tensorflow model trainer operations. An agent skill from jeremylongshore/tons-of-skills-marketplace. | jeremylongshore/ | 2.8k | — | ~580 | Automated safety check: Pass | MIT | yesterday |
| 164 | Debug complex Claude API issues including context window overflow, tool use failures, streaming corruption, and response quality problems. | jeremylongshore/ | 2.8k | — | ~2.1k | Automated safety check: Pass | MIT | yesterday |
| 165 | Configure CI/CD pipelines for Anthropic Claude API integrations. | jeremylongshore/ | 2.8k | — | ~1.5k | Automated safety check: Pass | MIT | yesterday |
| 166 | Build Claude tool use (function calling) workflows with the Messages API. | jeremylongshore/ | 2.8k | — | ~1.8k | Automated safety check: Pass | MIT | yesterday |
| 167 | Build Claude streaming and Message Batches API workflows. An agent skill from jeremylongshore/tons-of-skills-marketplace. | jeremylongshore/ | 2.8k | — | ~1.8k | Automated safety check: Pass | MIT | yesterday |
| 168 | 168.Anth Cost Tuning Optimize Anthropic Claude API costs with model routing, prompt caching, batching, and spend monitoring. | jeremylongshore/ | 2.8k | — | ~2.1k | Automated safety check: Pass | MIT | yesterday |
| 169 | 169.Anth Hello World Create a minimal working Anthropic Claude Messages API example. | jeremylongshore/ | 2.8k | — | ~1.3k | Automated safety check: Pass | MIT | yesterday |
| 170 | Install and configure Anthropic Claude SDK authentication for Python and TypeScript. | jeremylongshore/ | 2.8k | — | ~1.2k | Automated safety check: Notes | MIT | yesterday |
| 171 | Identify and avoid common Claude API anti-patterns and integration mistakes. | jeremylongshore/ | 2.8k | — | ~2.1k | Automated safety check: Pass | MIT | yesterday |
| 172 | 172.Anth Load Scale Implement load testing, auto-scaling, and capacity planning for Claude API. | jeremylongshore/ | 2.8k | — | ~1.8k | Automated safety check: Pass | MIT | yesterday |
| 173 | Configure a local development workflow for Anthropic Claude API projects. | jeremylongshore/ | 2.8k | — | ~1.3k | Automated safety check: Notes | MIT | yesterday |
| 174 | Migrate to Claude API from OpenAI, Gemini, or other LLM providers. | jeremylongshore/ | 2.8k | — | ~2k | Automated safety check: Pass | MIT | yesterday |
| 175 | Configure Claude API across dev, staging, and production environments with isolated keys, model routing, and spend controls per environment. | jeremylongshore/ | 2.8k | — | ~1.4k | Automated safety check: Notes | MIT | yesterday |
| 176 | Optimize Claude API performance with prompt caching, model selection, streaming, and latency reduction techniques. | jeremylongshore/ | 2.8k | — | ~1.9k | Automated safety check: Pass | MIT | yesterday |
| 177 | Implement content policy guardrails, input/output validation, and usage governance for Claude API integrations. | jeremylongshore/ | 2.8k | — | ~1.9k | Automated safety check: Pass | MIT | yesterday |
| 178 | Execute production deployment checklist for Claude API integrations. | jeremylongshore/ | 2.8k | — | ~1.8k | Automated safety check: Pass | MIT | yesterday |
| 179 | Implement Claude API reference architectures for common use cases. | jeremylongshore/ | 2.8k | — | ~1.8k | Automated safety check: Notes | MIT | yesterday |
| 180 | Implement reliability patterns for Claude API: circuit breakers, graceful degradation, idempotency, and fallback strategies. | jeremylongshore/ | 2.8k | — | ~2k | Automated safety check: Pass | MIT | yesterday |
| 181 | Apply production-ready Anthropic SDK patterns for TypeScript and Python. | jeremylongshore/ | 2.8k | — | ~1.9k | Automated safety check: Pass | MIT | yesterday |
| 182 | Apply Anthropic Claude API security best practices for key management, input validation, and prompt injection defense. | jeremylongshore/ | 2.8k | — | ~1.9k | Automated safety check: Notes | MIT | yesterday |
| 183 | Upgrade Anthropic SDK versions and migrate between Claude API versions. | jeremylongshore/ | 2.8k | — | ~1.7k | Automated safety check: Pass | MIT | yesterday |
| 184 | Redirect to claude-model-inference for Messages API streaming, vision, and structured output patterns. | jeremylongshore/ | 2.8k | — | ~481 | Automated safety check: Pass | MIT | yesterday |
| 185 | Implement credit spending limits, data privacy enforcement, and input validation guardrails for Clay pipelines. | jeremylongshore/ | 2.8k | — | ~2.6k | Automated safety check: Pass | MIT | yesterday |
| 186 | Diagnose and fix CoreWeave GPU scheduling, pod, and networking errors. | jeremylongshore/ | 2.8k | — | ~1.1k | Automated safety check: Pass | MIT | yesterday |
| 187 | Deploy KServe InferenceService on CoreWeave with autoscaling and GPU scheduling. | jeremylongshore/ | 2.8k | — | ~1.2k | Automated safety check: Pass | MIT | yesterday |
| 188 | Run distributed GPU training jobs on CoreWeave with multi-node PyTorch. | jeremylongshore/ | 2.8k | — | ~1.2k | Automated safety check: Pass | MIT | yesterday |
| 189 | Optimize CoreWeave GPU cloud costs with right-sizing and scheduling. | jeremylongshore/ | 2.8k | — | ~1.3k | Automated safety check: Pass | MIT | yesterday |
| 190 | Deploy a GPU workload on CoreWeave with kubectl. An agent skill from jeremylongshore/tons-of-skills-marketplace. | jeremylongshore/ | 2.8k | — | ~1.4k | Automated safety check: Pass | MIT | yesterday |
| 191 | Set up local development workflow for CoreWeave GPU deployments. | jeremylongshore/ | 2.8k | — | ~927 | Automated safety check: Notes | MIT | yesterday |
| 192 | Optimize CoreWeave GPU inference latency and throughput. An agent skill from jeremylongshore/tons-of-skills-marketplace. | jeremylongshore/ | 2.8k | — | ~1.1k | Automated safety check: Pass | MIT | yesterday |
