Video & Animation

Run Claude Code as a one-shot MCP tool so other agents and editors can delegate coding tasks to it. An agent-in-agent orchestration bridge.

Audits CircleCI workflow spend using the CircleCI Insights API and machine-type pricing tables. Identifies jobs running on oversized resource classes and recommends downgrades using historical CPU/memory utilization from the pipeline telemetry endpoint. Produces a cost breakdown by project, branch, and executor type.

agentskillexchange

Chafa converts images, animated GIFs, and video frames into ANSI/Unicode character art or terminal graphics protocols (Sixel, Kitty, iTerm2) for display in any terminal. It supports a wide range of image formats and output modes, making it the go-to tool for rendering rich visual content in CLI environments.

Cerbos is an open-core, language-agnostic, scalable authorization solution that makes implementing and managing user permissions simple. It uses context-aware YAML access control policies managed through Git-ops, providing high-availability APIs for dynamic access decisions across applications.

Use Screenpipe when an agent needs private, local-first memory of what you saw or heard on your computer, including searchable screen text, app context, and transcripts, instead of relying on a chat-only memory layer.

Creates reusable CircleCI Orbs using the CircleCI Orb SDK and circleci/orb-tools@12 pipeline. Packages commands, executors, and jobs into publishable orbs with automated semantic versioning via the CircleCI CLI.

Use MCP Go to implement typed Model Context Protocol servers in Go that expose tools, resources, prompts, and transport handlers to agent clients.

Compose prompts, plugins, memory, planners, and connectors into repeatable Python, .NET, or Java agent workflows with Microsoft Semantic Kernel.

Build and maintain a repository-local context graph so coding agents can orient inside large codebases without rediscovering the same structure every session.

Use Memvid when an agent needs local, portable long-term memory and retrieval without running a vector database or full RAG service.

Scaffold, build, and run MCP servers from a predictable Python project layout with tools, prompts, resources, auth, and OpenTelemetry hooks.

Use the official Model Context Protocol PHP SDK to expose PHP application capabilities as MCP tools, resources, and prompts for agent workflows.

Store raw multimodal data, embeddings, and vector-search indexes in Deep Lake so agents can retrieve grounded context for RAG and analysis workflows.

Use Arcade MCP to create custom MCP servers and tools with OAuth-aware authorization, evals, and deployment paths for agent tool-calling workflows.

Use CopilotKit to add agent-native React or Angular copilots with generative UI, shared state, and human-in-the-loop workflow controls.

Use TiDB when an agent needs one transactional SQL store that can also hold embeddings and serve vector retrieval for RAG, memory, or app-context workflows.

Use Pipecat to define realtime voice and multimodal agent pipelines with transports, model providers, tools, and turn-taking tests.

Use n8n-MCP when an agent needs structured access to n8n nodes, properties, operations, and template examples while designing or debugging workflows, instead of guessing from raw docs or clicking through the n8n UI by hand.

Give Claude Code a routed skill pack for designing, validating, debugging, and deploying n8n workflows through n8n-mcp.

Use assistant-ui to build production React chat interfaces with reusable threads, runtimes, message components, and model/provider adapters.

Use Letta to create agents whose identity, tools, memory blocks, and conversation state persist across sessions for long-running assistant or application workflows.

Index private text into graph-backed retrieval structures, tune prompts, and query the resulting knowledge graph for RAG workflows.

Connect coding agents to Xcode build, test, simulator, and project-inspection tools through XcodeBuildMCP