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Coding & Development
Agents for software engineering, IDE assistance, code generation, code review, and developer workflows.
Which technical function should the agent perform?
Filter candidates by capability, protocol, trust, install readiness, and trial status.
- Build or modify application code.
- Review a repository before adopting an agent.
- Prepare a pull request with tests and implementation notes.
Recommended trials and bundles
This skill helps you design and execute automated AI workflows by chaining models and services for content generation, data processing, and monitoring.
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
This skill creates AI avatar and talking head videos using inference.sh CLI with multiple models for lipsync and virtual presenters.
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
This skill helps you build and manage a full-stack AI chat app with persistence, chat list features, and automatic title generation.
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
This skill helps persist AI chat conversations in Neon Postgres, including AI SDK message parts, tools, reasoning, and streaming for reliable history.
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
This skill guides building production-grade GenAI and agentic systems with robust evaluation, advanced RAG, and scalable MLOps.
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
Three MCP tools: fetch_page, fetch_pages_batch, search_web. Ad-free Markdown for AI agents.
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
This skill helps you configure and optimize AI IDEs across Windsurf, Cursor, and Zed to maximize productivity and minimize costs.
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
This skill helps you scaffold production-ready Next.js projects and AI features with a unified builder for websites, dashboards, and workflows.
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
Production LLM engineering skill. Covers strategy selection (prompting vs RAG vs fine-tuning), dataset design, PEFT/LoRA, evaluation workflows, deployment handoff to inference serving, and lifecycle operations with cost/safety controls.
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
This skill helps you choose and configure AI models and APIs across providers, optimizing performance, cost, and context for tasks.
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
This skill enables browser apps to generate and stream AI text using CloudBase JS SDK, with Hunyuan or DeepSeek models.
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
Multimodal AI processing via Google Gemini API (2M tokens context). Capabilities: audio (transcription, 9.5hr max, summarization, music analysis), images (captioning, OCR, object detection, segmentation, visual Q&A), video (scene detection, 6hr max, YouTube URLs, temporal analysis), documents (PDF extraction, tables, forms, charts), image generation (text-t...
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
Review links
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4637 matching candidates for Coding & Development. Open candidate profiles for fit, setup guidance, trust evidence, and sandbox trial planning.
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