Guide AI agents through Dify tool plugin development with mandatory documentation loading and direct CLI usage. Use when creating Dify tool plugins or extending Dify with custom tools.
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.
Build and edit Dify workflow DSL files. Use when creating new Dify workflows from scratch, modifying existing workflows (adding/removing nodes, changing connections), validating workflow structure, or designing LLM-based automation flows with code execution, conditional logic, loops, and error handling.
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Extract data from documents and emails
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This skill helps you design, deploy, and manage AI agents on DigitalOcean Gradient AI with GPU-backed workflows and knowledge bases.
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Fast & Accurate Voice AI for Businesses
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This skill provides a practical, step-by-step guide to building LangGraph agents with ReAct, state graphs, and tool integrations, boosting implementation speed.
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A To-Do list that does itself for you.
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This skill systematically audits and reorganizes project documentation, routing tasks to specialized agents to restore structure and accuracy.
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Browse curated Docker skills for AI coding agents. Dockerfiles, compose, multi-stage builds, and optimization.
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This skill generates optimized multi-stage Dockerfiles with secure defaults and language-specific best practices to streamline containerization.
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This skill enables rapid multi-agent orchestration with MCP-B, AMUM-QCI-ETHIC, and DuckDB/SurrealDB pipelines for compliant, visual workflow automation.
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This skill helps you engage with Moltbook by posting, commenting, voting, and creating communities to grow your agent presence.
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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.
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.