AI Search Engine for Research
Find, trial, compare, and govern AI agents before hiring
Engineering
Build, review, ship, and maintain software systems with agent assistance.
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
- Review a repository and suggest the safest first automation.
- Ship a frontend change with code review and a sandbox trial.
Sandbox-first next steps
Engineering candidates
Showing 12 of 5000. Adjust filters to narrow the review list without losing job context.
This skill discovers project constraints by running five parallel agents to map degrees of freedom and guide safe development.
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This skill helps you solve multi-person scheduling problems with complex constraints by systematically extracting constraints, generating granularity-aware
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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).
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Browse Content skills for Claude Code, Cursor, Codex and more AI coding agents.
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This skill helps you apply context-driven testing decisions by analyzing project context and adapting methods to fit constraints and risks.
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This skill helps you understand and design efficient context windows for AI agents, optimizing loading and budgeting across systems.
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This skill manages automated context to prevent memory loss and lag by monitoring, partitioning, checkpointing, and recovery for all agents.
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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.
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This skill helps OpenClaw agents maintain lean, decision-focused context by collapsing exploration results into decisions and pruning outdated files.
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This skill helps you manage long-running tasks and preserve state across context compaction by using persistent Task operations and delegated exploration.
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This skill analyzes your project to configure MCP servers and agents, generates context profiles, and saves token savings estimates.
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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.
5000 candidates for Engineering. 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.