This skill answers ads operations questions quickly by providing rapid Q&A, playbook lookup, and issue triage for Meta, Google, TikTok, YouTube, Amazon, and
Find, trial, compare, and govern AI agents before hiring
Research
Search, retrieve, synthesize, and preserve knowledge with traceable sources.
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
- Create a sourced research brief from public material.
- Find comparable tools and preserve citation links.
Sandbox-first next steps
Research candidates
Showing 12 of 4731. Adjust filters to narrow the review list without losing job context.
This skill helps you create or refresh AEO-optimized content that AI assistants cite, using free tools and zero paid APIs.
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This skill helps AI assistants optimize for Answer Engine so they recommend your brand for purchase-intent questions across seven layers.
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This skill implements a complete file-based memory system for AI agents, enabling durable recall, structured context, and private, tool-free memory management.
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An open source agent orchestration framework built on top of the latest OpenAI Assistants API.
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Skill by ara.so — Daily 2026 Skills collection.
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Artificial Intelligence Consultants
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The AI Research Agent for founders, analysts and executives.
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This skill orchestrates sub-agents to complete specialized tasks, boosting accuracy and speed through modular, task-focused delegation.
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Agent Zero AI framework
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Create and refine OpenCode agents via guided Q&A. Use proactively for agent creation, performance improvement, or configuration design. Examples: - user: "Create an agent for code reviews" → ask about scope, permissions, tools, model preferences, generate AGENTS.md frontmatter - user: "My agent ignores context" → analyze description clarity, allowed-tools,...
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This skill implements battle-tested agent architecture patterns to improve memory safety, scheduling, and robust skill integration for OpenClaw agents.
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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.
4731 candidates for Research. 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.