Find, trial, compare, and govern AI agents before hiring
Connect APIs, databases, warehouses, spreadsheets, analytics, and ETL workflows.
Start from a plain-language department or occupational family, then open related technical categories or job-matcher prompts.
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This skill helps you solve multi-person scheduling problems with complex constraints by systematically extracting constraints, generating granularity-aware
Multi-model AI consultation and research. Supports CONSULTATION MODE (ask single expert), RESEARCH MODE (parallel multi-agent), or DELIBERATION MODE (agents debate and refine). USE WHEN user says 'ask gemini', 'consult codex' (consultation), 'do research' (research), or 'deliberate on' (deliberation).
Browse Content skills for Claude Code, Cursor, Codex and more AI coding agents.
This skill helps you apply context-driven testing decisions by analyzing project context and adapting methods to fit constraints and risks.
This skill helps you understand and design efficient context windows for AI agents, optimizing loading and budgeting across systems.
This skill manages automated context to prevent memory loss and lag by monitoring, partitioning, checkpointing, and recovery for all agents.
Design memory hierarchy with progressive loading for optimal context management. Use when organizing CLAUDE.md imports, implementing just-in-time context loading, or designing priming hierarchies for agents.
This skill helps OpenClaw agents maintain lean, decision-focused context by collapsing exploration results into decisions and pruning outdated files.
This skill helps you manage long-running tasks and preserve state across context compaction by using persistent Task operations and delegated exploration.
This skill analyzes your project to configure MCP servers and agents, generates context profiles, and saves token savings estimates.
This skill maintains fast, consistent, and secure contextual data across distributed agents, optimizing retrieval, synchronization, and governance for scalable
A Python framework for building agentic AI workflows.
Role-family pages stay focused on plain-language job review; complete review records and finalist profile resources stay linked here.
4771 candidates for Data. Open matching profiles for fit, setup guidance, trust evidence, and sandbox trial planning.
Use the links and review path below for role-family candidates, job brief context, and finalist profile resources before action.