claude

railyard

Guided creation and management of Railyard platform entities (agents, governors, tools, workflows, credentials, knowledge graph, memories, chat sessions, knowledge bases, integrations, inbound sources, LLM models, ML stack, pipelines, skills, chatbots, budgets, alerts, compliance, dashboards, webhooks) via REST API with iterative build-test-fix verification.

0 on GitHubby kraken-networksv1.2.0MITupdated 1 month agodevelopment
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Plugin railyard from marketplace kraken in KrakenNet/kraken-plugins. Commands read from the repo's manifest — 1 month ago.

What it installs

Skills (3)

  • commands

    Manage Railyard agent skills — register, list, get, update, delete entries in /api/v1/skills

  • railyard-api

    This skill should be used when any railyard builder agent needs to know API endpoints, request/response schemas, field types, enum values, or sub-resource relationships for agents, tools, governors, workflows, credentials, documents, knowledge graph, memories, chat sessions, knowledge bases, integra

  • smart-railyard

    This skill should be used when any railyard command or agent needs auth flow, base URL configuration, API conventions, response envelope parsing, credential access helpers, or the verify-before-call pattern. Core behavioral skill for all Railyard Operations plugin commands.

Slash commands (26)

  • /railyard:agent

    Create and configure DSPy agents with tool and governor associations, demonstrations, and execution verification

  • /railyard:alerts

    Manage Railyard alerts, alert escalations, and notifications via /api/v1/alerts, /api/v1/alert-escalation, /api/v1/notifications

  • /railyard:audit-coverage

    Audit which Railyard API endpoints are covered by plugin commands; flag gaps

  • /railyard:auth

    Obtain or manage Supabase JWT tokens for Railyard API access

  • /railyard:budget

    Manage Railyard cost budgets and inspect cost reports via /api/v1/budgets and /api/v1/costs

  • /railyard:chat

    Create and manage chat sessions with agents and workflows, send messages, and monitor conversations

  • /railyard:chatbot

    Manage Railyard chatbot flows — list, get, create (full or quick-create), update, delete via /api/v1/chatbots

  • /railyard:compliance

    Run RMF compliance checks and download compliance reports via /api/v1/compliance/rmf and /api/v1/compliance/reports

  • /railyard:credential

    Create, list, update, or test credentials for Railyard integrations

  • /railyard:dashboard

    Fetch Railyard dashboard summary metrics from /api/v1/dashboard

  • /railyard:export-import

    Export and import entity configurations for portability across Railyard environments

  • /railyard:governor

    Create and configure CLIPS-based governors with rules, facts, streams, and routes for policy enforcement

  • /railyard:inbound

    Configure inbound sources for multi-channel request ingestion (HTTP polling, webhooks, email)

  • /railyard:integration

    Configure, enable, test, and manage external service integrations (ServiceNow, etc.)

  • /railyard:knowledge-base

    Create and manage knowledge bases with tags, ACLs, and hierarchical organization for scoped RAG

  • /railyard:knowledge

    Manage documents, knowledge graph, and entity extraction for RAG-powered agents

  • /railyard:llm-model

    Manage LLM model configurations — providers, token limits, capabilities, and defaults

  • /railyard:memory

    Manage agent memories — create, search, decay, consolidate, and view stats

  • /railyard:ml

    Manage Railyard ML stack — model definitions, trained models, training runs, datasets, layer schemas, ONNX import, image staging

  • /railyard:pipeline

    Manage Railyard tool-execution pipelines via /api/v1/pipelines

  • /railyard:requests

    Manage routing rules, requests, and request types via /api/v1/{routing-rules,requests,request-types}

  • /railyard:status

    Show overview of all Railyard platform entities — agents, tools, governors, workflows, credentials, documents, memories, chat sessions, knowledge bases, integrations, inbound sources, LLM models

  • /railyard:tool

    Create and configure tools for Railyard agents (Python, Shell, API, DSPy implementations)

  • /railyard:trace

    Inspect execution traces and span trees for debugging agents, tools, governors, and workflows

  • /railyard:webhook

    Manage Railyard webhooks — generic, ServiceNow, CargoNet — via /api/v1/webhooks*

  • /railyard:workflow

    Create and configure multi-step workflows with stages, steps, routing rules, and execution verification

Subagents (10)

  • agent-builder

    This agent should be used to "create an agent", "build an agent", "configure an agent", "wire agent tools", "wire agent governors", "test agent execution". Creates agents via Railyard API, wires tool and governor associations, and verifies with test execution.

  • chat-manager

    This agent should be used to "create a chat session", "manage chat sessions", "connect chat to agent", "connect chat to workflow", "test chat messaging". Creates chat sessions via Railyard API, wires agent/workflow connections, and verifies with test message.

  • credential-manager

    This agent should be used to "create a credential", "manage credentials", "list credentials", "test credential", "add API key", "add OAuth credential". Manages credential CRUD and testing via the Railyard API.

  • governor-builder

    This agent should be used to "create a governor", "build a governor", "add CLIPS rules", "add governor facts", "add governor streams", "configure governor routes", "test governor", "write CLIPS rules from description". Creates governors with rules, facts, streams, and routes via Railyard API with CL

  • inbound-source-builder

    This agent should be used to "create an inbound source", "set up HTTP polling", "configure webhook ingestion", "set up email monitoring", "test inbound source". Creates inbound sources via Railyard API with type-specific configuration and connection verification.

  • integration-builder

    This agent should be used to "configure an integration", "enable an integration", "connect ServiceNow", "set up external service", "test integration connection". Configures integrations via Railyard API with settings, credentials, and connection verification.

  • knowledge-builder

    This agent should be used to "ingest a document", "build knowledge graph", "extract entities", "create KG nodes", "create KG edges", "search documents", "manage memories", "create memory", "search memories", "run memory decay", "consolidate memories". Manages documents, knowledge graph, entity extra

  • ml-builder

    Build Railyard ML resources (model definitions, trained models, training runs, datasets, ONNX imports) via REST API with build-test-fix verification.

  • tool-builder

    This agent should be used to "create a tool", "build a tool", "add a Python tool", "add a shell tool", "add an API tool", "test a tool". Creates tools via Railyard API with iterative build-test-fix verification.

  • workflow-builder

    This agent should be used to "create a workflow", "build a workflow", "add workflow steps", "configure routing rules", "test workflow execution", "wire workflow stages". Creates workflows with stages, steps, and routing rules via Railyard API with execution verification.

View source on GitHub

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