Skip to main content

User Guide

Prerequisites

  • Menu access: AI Studio > Workspace is required.
  • Permissions: Read-Write access for create, edit, publish, list, delist, and delete; Read-Only for view-only.
  • Data scope: At least one resource domain in the current environment; confirm environment/domain in the top-right corner.
  • Model configuration: Agent orchestration requires an LLM—configure under Security Operations > Model Management first.
  • Review rules (listing/delisting): An active Review Rules configuration is required before submitting requests.

Overview

Workspace is the production-side entry point of AI Studio, where creators build, debug, and publish Skills and Agents, and submit listing/delisting requests to the Resource Marketplace.

The page has two tabs, each mapped to a dedicated document:

TabDocumentationDescription
Skill CreationSkill CreationGenerate via conversation or import OpenClaw packages; edit files and debug before publish
Agent CreationAgent CreationTwo-step creation (basic info + orchestration); Autonomous Decision or Workflow

After publish, resources appear under Resources > My for Sage AI and Automation. To share via Public, submit a listing review processed in Security Operations > Review Queue.

image-20260724161059763


Why Workspace?

The AI Studio flow is produce → distribute → consume. Without a dedicated production entry:

  • Editing, debugging, and publishing Skills/Agents become fragmented with unclear versions and states
  • Creators cannot validate in their own domain before deciding to share team-wide
  • Custom assets on Public lack a clear draft → publish → review → list governance path
  • The relationship between referenced tools/knowledge/Skills and listable domains is opaque

Workspace provides tab-based production, debug preview, versioned publish, and listing/delisting requests so custom Skills and Agents are buildable, testable, releasable, and shareable under control.


What Workspace Offers

Skill Creation tab

  • Skill Creation: Describe requirements in natural language; Sage AI generates a Skill package and file tree.
  • Import Skill: Upload OpenClaw-compliant packages; edit, debug, and publish in-platform.
  • Lists only Skills you created or imported; built-in Skills are under Resources > Public.
  • See Skill Creation.

Agent Creation tab

  • Create Agent: Step 1 basic info and build mode; Step 2 orchestration (Autonomous Decision or Workflow).
  • Debug preview: Simulate conversations before publish.
  • Versions and states: Save draft, publish, version history, listing/delisting/withdraw flows.
  • See Agent Creation.

Shared: publish and share

ActionEffect
PublishSyncs to Resources > My; creates version and change notes
Request listingPending review; after approval, visible under Public
Request delistingRemoves from Public after review (listed resources)
WithdrawCancel pending review; revert to Published
Reapply after rejectionRevise, publish, request listing again

Relationship with Other Modules

Resources (tools/knowledge/Skills) ──reference──► Workspace

├── Publish ──► Resources > My
└── Listing ──► SecOps · Review Queue
└── Approved ──► Public
Sage AI, Automation ◄── invoke ── Resources (My / added Public)

Typical Workflows

Path 1: Creator — new Agent for self-use

  1. Confirm Model Management has an available LLM.
  2. Workspace > Agent CreationCreate Agent.
  3. Complete Step 1 and Step 2; test in debug preview.
  4. Publish Agent with change notes.
  5. Open Resources > Agent > MyUse or @ in Sage AI.

Path 2: Creator — conversational Skill

  1. Workspace > Skill CreationSkill Creation.
  2. Describe the scenario; review generated files; debug preview.
  3. Publish with version and notes.
  4. Reference the Skill in Agent orchestration.

Path 3: Creator — request Public listing

  1. Status Published; no unpublished drafts.
  2. Review Rules configured.
  3. Request listing → select domains → submit.
  4. Reviewer processes in Review Queue; Withdraw while pending if needed.
  5. After approval, resource appears under Public.

Path 4: Creator — after rejection

  1. Read rejection banner and comments in Review Queue.
  2. Revise → publish new version → Request listing again.

Path 5: Creator — delist listed resource

  1. Request delisting with required notes → wait for approval → hidden from Public.

Path 6: Administrator — governance alignment

  1. Security Management keywords.
  2. Review Rules reviewers.
  3. Review Queue approvals; Audit Logs for traceability.

Operation Overview

  1. AI Studio > Workspace; switch Skill Creation / Agent Creation tabs; confirm environment/domain.
  2. Search and filter by status (Draft / Published / Pending review / Listed / Delisted / Rejected).
  3. Create/edit via Skill or Agent flows; Publish with version and notes.
  4. Listing/delisting/withdraw from card menus—details in Skill Creation and Agent Creation.

State Quick Reference

StateMeaningCommon actions
DraftNot publishedEdit, publish
PublishedIn My onlyEdit, publish, request listing
Pending reviewListing/delisting in reviewWithdraw
ListedVisible in PublicRequest delisting
RejectedReview failedRevise, publish, reapply
DelistedRemoved from PublicPublish, request listing again

Notes

  • Save draft ≠ Publish: Only publish writes versions and syncs Resources.
  • Listing version: Uses last published version; publish drafts first.
  • Security: Security Management checks Skill/Agent text (prompts, summaries, etc.).
  • Automation: New publishes auto-upgrade referenced Automation tasks.
  • Built-in assets: Not maintained in Workspace lists—add from Resources > Public.

Further Reading