claudecodex

rakerun

Skills for cloudraker.run and its rakerun CLI: create projects from templates, write agents (AGENTS.md and agent.yml), deploy, run and stream, front doors and conversations (web chat, phone, email, Slack, Teams), secrets and MCP connectors, Structured Memory, who can open records (linked records, teams, roles, filing queues) and knowledge folders.

0 on GitHubby CloudRakerv0.4.0MITupdated yesterdaydeveloper-tools
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Plugin rakerun from marketplace rakerun-skills in CloudRaker/rakerun-skills. Commands read from the repo's manifest — today.

What it installs

Skills (9)

  • rakerun-agents

    Write or change a cloudraker.run agent: the folder model, AGENTS.md prompts, every agent.yml key (mode, machine, model, triggers, limits, network with oidc identity, secrets, connectors, data, knowledge, tools, events, webhooks, agents, workspace_act_as), inheritance from root to leaf, tools from th

  • rakerun-doors

    Put cloudraker.run agents in front of people: front doors (doors/{name}.yml with entry, handoff agents, languages, variables, input and output guards, router, session, limits, alerts and channels), channel bindings (phone numbers, email aliases, Slack workspaces and channels, Teams tenants), web cha

  • rakerun-integrations

    Connect cloudraker.run agents to the outside with the rakerun CLI: secrets and the network allow list, MCP connectors (OAuth, header from a secret or Run identity OIDC, grants), signed OIDC identity on outbound requests, API tokens and scopes, webhook deliveries. Use when an agent needs a credential

  • rakerun-knowledge

    Give cloudraker.run agents memory and reference material: Structured Memory (typed records from _schemas/ files with relation fields, the data: grant, the data.* tools, records from the rakerun CLI) and knowledge folders (Markdown under knowledge/ with knowledge: grants and the search and read tools

  • rakerun-onboarding

    Set up cloudraker.run for the user from start to first working agent: sign in, fill the organization profile, read the company website, ask what the user is here to build and write its record types, links, teams and access rules, suggest and import templates, test an agent on a branch, connect Slack

  • rakerun-projects

    Create and ship a cloudraker.run project with the rakerun CLI: new project, template catalog and import, local lint, deploy (commit and push with the deploy log), environments (one project each for development, staging and production, env add, env list, push and the GitHub Action), repos, base paths

  • rakerun-records

    Decide who can open, change and delete the records of a cloudraker.run project: the access block of _schemas files (table rules, row rules, shares), relation fields that link records and pass access in one direction (takes, gives, access.links, one link and no further), people teams, the three roles

  • rakerun-runs

    Run cloudraker.run agents from the rakerun CLI: start a run with text or JSON input, stream the events, send turns and answers, list and filter the history, read a run, its trace and its messages, cancel. Explains runs against conversations, and how to run, answer and debug a machine agent (mode: ma

  • rakerun

    Any task on cloudraker.run through the rakerun CLI: create a project of agents from templates, write or change an agent (AGENTS.md and agent.yml), deploy it as an HTTPS endpoint, run it and stream the answer, put it in front of people with a front door (web chat, phone, email, Slack, Teams), manage

View source on GitHub cloudraker-run.docs.buildwithfern.com

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rakerun-business

claudecodex

Skills for an AI agent that builds cloudraker.run for a person who does not use git: sign in, make a change, let the person try it in the console and let a publisher make it live. Record types, linked records and who can open them, teams, a queue for incoming documents, assistants for chat, and a first setup that starts with "What are you here to build?".

3 skills

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