Translates, analyzes, and suggests the best AI translations.
Find, trial, compare, and govern AI agents before hiring
Security
Review risk, permissions, guardrails, compliance, and production readiness.
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
- Assess install risk before granting workspace or credential access.
- Run a safety review against source, license, and permission signals.
Sandbox-first next steps
Security candidates
Showing 12 of 4995. Adjust filters to narrow the review list without losing job context.
Specialized workflow for building AI agents including single autonomous agents, multi-agent systems, agent orchestration, tool integration, and human-in-the-…
Review links
This skill helps you design and analyze autonomous AI agents that reason, act, and remember to complete tasks efficiently.
Review links
This skill helps you build autonomous AI agents with tool use and planning strategies to automate multi-step workflows.
Review links
Expert guidance for designing autonomous AI agents with controlled autonomy, tool integration, and multi-agent systems. \n \n Covers core agent patterns: ReA…
Review links
This skill designs autonomous AI agents with tool use, memory, planning, and multi-agent orchestration to stay controllable and robust.
Review links
This skill assists you craft and edit text in Microsoft Office applications using AI prompts and best practices.
Review links
This skill helps you design and deploy production-grade LLM apps, RAG systems, and intelligent agents with robust safety and observability.
Review links
This skill helps AI agents detect and generate contextually appropriate humor using 12 bisociation patterns with ethical gating.
Review links
Operational patterns for LLM inference: latency budgeting, tail-latency control, caching, batching/scheduling, quantization/compression, parallelism, and reliable serving at scale. Emphasizes production-grade performance, cost control, and observability.
Review links
This skill turns raw data and questions into validated, documented models ready for production:
Review links
End-to-end data science and ML engineering workflows: problem framing, data/EDA, feature engineering (feature stores), modelling, evaluation/reporting, plus SQL transformations with SQLMesh. Use for dataset exploration, feature design, model selection, metrics and slice analysis, model cards/eval reports, experiment reproducibility, and production handoff (...
Review links
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.
4995 candidates for Security. 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.