flowstate-dojo-community-epicdm-flowstate-openclaw-client

Use this skill when a task touches packages/flowstate-openclaw-client, imports @epicdm/flowstate-openclaw-client, or needs to teach humans/agents how this package works.

Package identity:

• Package: @epicdm/flowstate-openclaw-client
• Repository: epic-flowstate-community
• Version authority: package.json (1.0.7)
• Dojo course: flowstate-dojo-community-epicdm-flowstate-openclaw-client

How to use the package:

• Purpose: TypeScript client for the OpenClaw WebSocket agent chat protocol
• Start with package-local docs when present.
• Verify details against source and tests before changing behavior.
• Use the Dojo course lessons as the teaching path: setup, mental model, core workflow, integration, feature labs, maintenance.

Public surfaces discovered:

• OpenClawClient
• base64UrlEncode
• derivePublicKeyRaw
• publicKeyRawBase64Url
• deriveDeviceIdFromPublicKey
• signPayload
• buildDeviceAuthPayloadV3
• DeviceIdentity
• OpenClawClientOptions
• StreamEvent
• ChatMessage
• SendResult
• AgentStatus
• OpenClawClientError
• resolveInternalKongUrl
• rewriteEndpointForDocker

Composable feature skilllets:

• Base64 Url Encode: use feature labs for workflow, source anchor, and regression risk.
• Build Device Auth Payload V3: use feature labs for workflow, source anchor, and regression risk.
• Derive Device Id From Public Key: use feature labs for workflow, source anchor, and regression risk.
• Derive Public Key Raw: use feature labs for workflow, source anchor, and regression risk.
• Open Claw Client: use feature labs for workflow, source anchor, and regression risk.
• Open Claw Client Error: use feature labs for workflow, source anchor, and regression risk.
• Public Key Raw Base64 Url: use feature labs for workflow, source anchor, and regression risk.
• Resolve Internal Kong Url: use feature labs for workflow, source anchor, and regression risk.
• Rewrite Endpoint For Docker: use feature labs for workflow, source anchor, and regression risk.
• Sign Payload: use feature labs for workflow, source anchor, and regression risk.

Agent operating rules:

• Treat package.json as the Dojo version authority.
• Do not turn feature inventory into user-facing lessons without workflow context.
• Update this Dojo package when package behavior, docs, examples, or feature inventory changes.
• Verify downstream packages when package use and connection metadata shows inbound dependencies or references.
• Never mark publish status passed without successful cloud publish and catalog lookup.

Use this Dojo skill with package human docs, package-local feature inventory, agent-skillset.md, and the generated course.json in this folder. Keep this manifest version aligned with package.json.