This skill helps you gather Langfuse diagnostic data and create a privacy-preserving support bundle for faster troubleshooting.
Find, trial, compare, and govern AI agents before hiring
Data
Connect APIs, databases, warehouses, spreadsheets, analytics, and ETL workflows.
What team job or business role does the user need filled?
Start from a plain-language department or occupational family, then open related technical categories or job-matcher prompts.
- department or team-role discovery
- plain-language job briefs
- business outcome shortlists
- non-technical browsing
Start from user language
- Connect a dataset or API to a reusable analysis workflow.
- Evaluate extraction, transformation, and retrieval candidates.
Sandbox-first next steps
Data candidates
Showing 12 of 4771. Adjust filters to narrow the review list without losing job context.
This skill helps you set up Langfuse observability, monitor LLM costs, and manage prompts for production with tracing and evaluation.
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Migrate hardcoded prompts to Langfuse for version control and deployment-free iteration. Use when user wants to externalize prompts, move prompts to Langfuse, or set up prompt management.
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This skill helps you design and implement Langfuse reference architectures for observability, deployment, and enterprise-grade tracing at scale.
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This skill helps you implement Langfuse SDK patterns, ensuring proper tracing, robust lifecycles, and idiomatic observability across apps.
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Architect-level development, audit, and migration of multi-agent systems using LangGraph (v1+) and LangChain (v1+). Use when building or refactoring supervisor/subagent architectures, orchestrator-worker workflows, routing/hand-offs, agentic RAG, memory (short + long-term), state + context engineering, guardrails + human-in-the-loop, MCP tool integration, o...
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LangSmith is an all-in-one developer platform for every step of the LLM-powered application lifecycle, whether you’re building with LangChain or not.
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This skill helps you design scalable Laravel 13 ecosystems with modular monoliths, hexagonal architecture, and high-concurrency patterns for rapid, reliable
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This skill provides professional Chinese-English bidirectional translation for technical documentation, ensuring terminology consistency and adherence to
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Build League of Legends apps using league-sdk TypeScript library. Use when working with Riot API, summoner/player lookups, match history, champion mastery, ranked stats, live game spectator, or building LoL Discord bots, websites, or apps.
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This skill helps you learn any concept by providing five explanatory modes, practice problems, and study materials tailored to your style.
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This skill enables persistent memory in LLM agents using the Learning SDK with a universal 3-line pattern across providers like OpenAI, Claude, and Gemini.
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Review links
Role-family pages stay focused on plain-language job review; complete review records and finalist profile resources stay linked here.
Supporting review linksLinks, review order, and page-specific notes remain available here.
4771 candidates for Data. Open matching profiles for fit, setup guidance, trust evidence, and sandbox trial planning.
- 01Site contextShared review rules
- 02Role familyOpen the focused review record
- 03Profile pageOpen the candidate page
- 04Profile resourcesEvidence, setup, trust, trial, and history files
Use the links and review path below for role-family candidates, job brief context, and finalist profile resources before action.