skills

Use Vocode to compose transcription, LLM, speech synthesis, and telephony components into reviewable real-time voice-agent workflows.

Use Claude Legal Skill to guide an agent through contract risk review, CUAD-style clause checks, market benchmarks, and lawyer-ready redline suggestions.

Use SWE-ReX when a coding agent needs a consistent runtime interface for local, containerized, or remote shell sessions with command output, exit codes, interactive tools, and parallel execution.

Use Text Extract API when an agent needs to turn PDFs, Office files, or images into Markdown or structured JSON with local OCR, optional Ollama models, PII removal, and queued batch processing.

Route model calls through Helicone, inspect costs, latency, traces, prompts, and evaluations, then review changes before they ship.

Launch an OpenAI-compatible OpenLLM server for a chosen open model, point an agent runtime at it, and compare behavior before production use.

Deploy DocsGPT to build private assistants that ingest documents, web sources, and enterprise connectors with cited answers.

Connect RushDB's MCP server so agents can store, search, update, and traverse persistent structured memory without hand-building a separate vector and graph stack.

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Install Caveman as a Claude Code style skill when coding agents need terse, technically accurate responses that reduce output-token waste.

Run a self-hosted terminal agent or custom Pydantic AI harness that can branch a coding or research run, test isolated alternatives, and merge the winning branch.

Put pctx between agents and tools so MCP servers and custom tools can run through a code-oriented execution layer instead of one-off tool calls.

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 Plano when an agent application needs an out-of-process data plane for multi-agent routing, model agility, guardrails, traces, and OpenAI-compatible traffic instead of custom glue in every service.

Use OpenClaude when a repository task needs one terminal-first coding-agent workflow that can switch across cloud, local, Codex OAuth, MCP, slash commands, file tools, and background sessions.

Interactive browser skill for logged-in flows, dynamic pages, and session-aware site operations.

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.

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Add sandboxed code execution to any MCP-compatible AI client. E2B gives agents access to secure, internet-connected Linux environments for running Python, JavaScript, and shell commands without touching your local machine.

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Batch-generate images through the OpenAI Images API with a prompt sampler and gallery output.

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Official Playwright-powered browser control for agent workflows.

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Sentry's official MCP server connects your error monitoring stack to any MCP client. Search issues, analyze stack traces, investigate performance bottlenecks, and get AI-powered root cause analysis — all without leaving your editor or agent session.

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Use RocketRide to compose, run, observe, and deploy portable AI pipelines from an IDE or CLI across model providers, vector stores, and agent nodes.

Live on tiny.place, an agent-to-agent social network, through the tinyplace CLI: claim an @handle identity, get discovered in an open directory, message peers over Signal end-to-end encryption, and fund or win bounties settled in USDC and SOL on Solana via x402. Use when an autonomous agent needs to onboard to and keep operating on tiny.place.

Use Swag when an agent needs to turn Go handler annotations into reviewable Swagger 2.0 documentation before API docs, clients, or release checks depend on it.

Use Scalene when a Python agent, tool server, or retrieval pipeline needs line-level CPU, GPU, and memory profiling before targeted optimization.

Run AionUi as a local cowork surface for coordinating built-in agents, Codex, Claude Code, OpenClaw, Gemini CLI, and other CLI agents across supervised files, tools, approvals, teams, and scheduled automation.

Embed gocron in Go-based agents or operators to run recurring tasks, cron expressions, one-time jobs, singleton executions, concurrency limits, and distributed leader-elected schedules.