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AI & LLM Engineering · OpenTelemetry · For developers
Skills
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| # | Skill | Repository | Stars | Used in | Tokens | Auto-check | Licence | Updated |
|---|---|---|---|---|---|---|---|---|
| 1 | Give the human an off switch and a cost meter for the coding agents on this machine, using ClawMetry. | vivekchand/ | 426 | — | ~1.1k | Automated safety check: Pass | MIT | 3 days ago |
| 2 | 当任务需要创建、修改、扩展或重组阿里云 SLS 的 dashboard JSON 或可导入的大盘配置时使用；尤其适用于线上大盘、强对比的分析看板、已校验的查询包，或需要专业中文标签与指标定义的运维向大盘。 | alibaba/ | 201 | — | ~1.8k | Automated safety check: Pass | Apache-2.0 | yesterday |
| 3 | Read your own agent telemetry from ClawMetry (waste, progress, cost) and act on it before finishing a task. | vivekchand/ | 426 | — | ~515 | Automated safety check: Pass | MIT | 3 days ago |
| 4 | 4.Eval Evaluate and score agent behavior against a golden reference. | agentevals-dev/ | 163 | — | ~904 | Automated safety check: Pass | Apache-2.0 | yesterday |
| 5 | Full Sentry SDK setup for Elixir. An agent skill from getsentry/sentry-for-ai. | getsentry/ | 268 | — | ~3.5k | Automated safety check: Pass | Apache-2.0 | yesterday |
| 6 | A skill your agent uses when the user wants to analyze agent telemetry traces to find bugs and get fix recommendations — walks through exporting traces from a local or remote watsonx Orchestrate… | IBM/ | 178 | — | ~10k | Automated safety check: Notes | MIT | 3 days ago |
| 7 | Sets up Arize Phoenix to trace, evaluate and monitor LLM applications, with instrumentation for OpenAI, LangChain and LlamaIndex and a self-hosted server. | Orchestra-Research/ | 13k | 2 repos | ~2.9k | Automated safety check: Pass | MIT | 3 mo ago |
| 8 | 基于 LoongSuite Pilot / AI Coding Agent 日志生成事件洞察、组织洞察、数据质量、研发效能和 AI Native 使用类 SLS 报表时使用；包含 AI Coding 事件表语义，以及团队报表可选的部门维表、deptuser 组织关系、指标口径和公共 CTE，通常与 sls-dashboard-builder 一起使用。 | alibaba/ | 201 | — | ~944 | Automated safety check: Pass | Apache-2.0 | yesterday |
| 9 | Run offline Python (pydanticevals) or Node.js (logfire/evals) evaluations and review them in Logfire. | pydantic/ | 140 | — | ~3.6k | Automated safety check: Pass | MIT | 10 days ago |
| 10 | Enhancement-overlay skill — the DECISION + WIRING layer for LM observability that the single-backend skills [[langsmith]], [[phoenix]], [[mlflow]] do NOT cover. | agentsope/ | 436 | — | ~4.4k | Automated safety check: Pass | MIT | 2 days ago |
| 11 | Generates onboarding code snippets for Phoenix tracing integrations and wires them into the project onboarding UI. | Arize-ai/ | 12k | — | ~1.4k | Automated safety check: Pass | Apache-2.0 | yesterday |
| 12 | Bump the next release-please version for a Phoenix Python package (arize-phoenix, arize-phoenix-client, arize-phoenix-evals, arize-phoenix-otel) by opening a PR with a Release-As commit footer. | Arize-ai/ | 12k | — | ~708 | Automated safety check: Pass | Apache-2.0 | yesterday |
| 13 | Maintain the bundled TypeScript package docs that ship inside Phoenix npm packages. | Arize-ai/ | 12k | — | ~2.2k | Automated safety check: Pass | Apache-2.0 | yesterday |
| 14 | Answers questions about agent spend, token use, traces, events, errors and tool usage by running read-only SQL against a local TMA1 observability store. | tma1-ai/ | 119 | — | ~5.1k | Automated safety check: Notes | Apache-2.0 | 2 days ago |
| 15 | Development guide for the @arizeai/phoenix-client TypeScript SDK — run and resume experiments, manage OpenTelemetry tracer providers with stack-based attach/detach, and write vitest unit and… | Arize-ai/ | 12k | — | ~370 | Automated safety check: Pass | Apache-2.0 | yesterday |
| 16 | Create Phoenix release documentation grounded in actual code changes. | Arize-ai/ | 12k | — | ~6.7k | Automated safety check: Pass | Unknown | yesterday |
| 17 | Guide for the phoenix-otel TypeScript package — OTel registration, stack-based global provider management, and provider lifecycle. | Arize-ai/ | 12k | — | ~330 | Automated safety check: Pass | Apache-2.0 | yesterday |
| 18 | Open-source AI observability platform for tracing, evaluating, and improving LLM applications with OpenTelemetry integration | Arize-ai/ | 12k | — | ~3.8k | Automated safety check: Pass | MIT | yesterday |
| 19 | A skill your agent uses when deploying, operating, integrating, or customizing the VSS RT-Embed Video Embedding microservice. | NVIDIA-AI-Blueprints/ | 1.9k | — | ~2.3k | Automated safety check: Notes | Apache-2.0 | yesterday |
| 20 | Configure and interpret the Phoenix plugin for Harbor agent evaluations. | Arize-ai/ | 12k | — | ~3.4k | Automated safety check: Warn | Apache-2.0 | yesterday |
| 21 | Step-by-step guide for adding a new observability/tracing provider to Agent Kernel. | yaalalabs/ | 192 | — | ~3.5k | Automated safety check: Pass | Apache-2.0 | yesterday |
| 22 | Take a working agent prototype to a scalable, observable production deployment on Microsoft Foundry. | microsoft/ | 77k | — | ~1.5k | Automated safety check: Pass | MIT | yesterday |
| 23 | Take one working agent prototype go scalable, observable production deployment for Microsoft Foundry. | microsoft/ | 77k | — | ~1.6k | Automated safety check: Pass | MIT | yesterday |
| 24 | Local Langfuse documentation reference (latest). An agent skill from olorehq/olore. | olorehq/ | 104 | — | ~1.2k | Automated safety check: Pass | MIT | yesterday |
| 25 | A skill your agent uses when deploying, operating, or integrating the VSS 3.2 GA RT-Embed Video Embedding microservice. | NVIDIA/ | 3.6k | — | ~3.7k | Automated safety check: Notes | Apache-2.0 | yesterday |
| 26 | Guides migration, provisioning, search, log-analytics, trace-analytics, and Agentic AI Assistant workflows for Amazon OpenSearch Service and Serverless across six capabilities — migration… | aws/ | 2.8k | — | ~2.4k | Automated safety check: Pass | Apache-2.0 | yesterday |
| 27 | 27.Dt Obs Genai Analyze & debug GenAI/LLM apps: token cost & caching by prompt, model & provider; latency/errors; agent & tool loops/failures; conversations; guardrails; evaluations; OpenTelemetry/dt-evals setup. | Dynatrace/ | 163 | — | ~4.5k | Automated safety check: Pass | Apache-2.0 | 9 days ago |
| 28 | Langfuse SDK best practices, patterns, and idiomatic usage. An agent skill from jeremylongshore/tons-of-skills-marketplace. | jeremylongshore/ | 2.8k | — | ~2.3k | Automated safety check: Pass | MIT | yesterday |
| 29 | Wire LangSmith tracing and custom metric callbacks into a LangChain 1.0 chain or LangGraph 1.0 agent correctly — env-var spelling, subgraph propagation, per-tenant dimensions, cost and latency… | jeremylongshore/ | 2.8k | — | ~3.9k | Automated safety check: Notes | MIT | yesterday |
| 30 | Wire LangChain 1.0 / LangGraph 1.0 traces into an OpenTelemetry-native backend (Jaeger, Honeycomb, Grafana Tempo, Datadog) with LLM-specific SLOs, safe prompt-content policy, and subgraph-aware span… | jeremylongshore/ | 2.8k | — | ~3.6k | Automated safety check: Pass | MIT | yesterday |
| 31 | Production-grade Langfuse architecture patterns and best practices. | jeremylongshore/ | 2.8k | — | ~2.6k | Automated safety check: Pass | MIT | yesterday |
| 32 | Upgrade Langfuse SDK versions and migrate between API changes. | jeremylongshore/ | 2.8k | — | ~2.1k | Automated safety check: Pass | MIT | yesterday |
| 33 | 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 |
| 34 | Install and configure Langfuse SDK authentication for LLM observability. | jeremylongshore/ | 2.8k | — | ~1.7k | Automated safety check: Notes | MIT | yesterday |
| 35 | Execute Langfuse primary workflow: Tracing LLM calls and spans. | jeremylongshore/ | 2.8k | — | ~2.3k | Automated safety check: Pass | MIT | yesterday |
