codex

Runtype Skills

Supercharge your coding agent for AI product development — build, deploy, and operate agents, flows, tools, and surfaces on Runtype's managed edge runtime.

1,566 on GitHubv0.2.0MITupdated todayDevelopment & Workflow

Plugin runtype-skills in hashgraph-online/awesome-codex-plugins. Commands read from the repo's manifest — today.

What it installs

Skills (14)

  • runtype-admin

    Inspect, debug, or manage a live Runtype account through MCP or CLI; mutate only within the requested scope.

  • runtype-build-product

    Build, deploy, validate, or modify Runtype-hosted AI products, agents, flows, tools, surfaces, schedules, and eval suites, including from example templates.

  • runtype-external-agents

    Connect agents that run outside Runtype (Flue, Cloudflare Agents SDK, Vercel AI SDK, LangGraph, OpenAI Agents SDK, Mastra, OpenClaw, Hermes, Pi, custom loops) through OpenTelemetry/OTLP trace export or an A2A or runtype-stream endpoint, to get runs, traces, eval capture, Persona chat, or surfaces; n

  • runtype-persona

    Embed, theme, or debug a Runtype Persona chat widget on a website: client tokens, embed snippets, fullscreen assistant layouts, WebMCP page tools, and browser-side chat integrations.

  • runtype-sdk-marathon

    Build source-controlled Runtype workflows with the SDK or CLI: config-as-code deploys from CI (ensure), save-and-run flows (upsert), long-running or multi-session agent runs with Marathon (runtype marathon or runtype agents task), and Marathon playbooks.

  • runtype-templates

    Create, validate, or share distributable Runtype Full Product Object (FPO) templates with import-time variables and pending secrets, or install a product from a runtype.com example, a use.runtype.com/now link, or a template URL.

  • runtype

    Scope a Runtype project or set up platform access; route implementation to the relevant Runtype skill.

  • tool-design-composition

    Compose and expose agent toolsets: task-level operations, batching, discovery, dry runs, and versioning.

  • tool-design-errors

    Design actionable agent tool errors, ambiguity handling, retry guidance, and fallback behavior, or debug an agent that loops on or misreads a failing tool.

  • tool-design-execution

    Design how an agent tool runs: sync or async job, idempotency, timeouts, transactions, and compensation. Use when a tool is slow, has side effects that a retry could duplicate, or spans several systems.

  • tool-design-interface

    Design agent-facing tool names, descriptions, and parameter schemas; diagnose incorrect tool selection or inputs.

  • tool-design-output

    Design or audit what an agent tool returns: shape and trim payloads, paginate, report partial success, reference files and media, and add next-step hints. Use when tool output bloats the context window.

  • tool-design-security

    Design or audit a tool's trust boundary: keep API keys and tenant ids out of model-visible parameters, resist prompt injection, enforce permissions and approval gates in code, declare scopes, and log calls safely.

  • tool-design

    Design or audit the tools an AI agent calls (MCP server tools, function calling, Runtype runtime and saved tools), or find out why an agent picks the wrong tool or misuses one. Routes naming, schema, output, error, execution, and security work to focused guides.

View source on GitHub hol.org

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