yuan-lab-llm--clawmanager
Stark-Han
2dbe97d5b6
* chore: ignore local agency and team snapshots * feat: add team agent profile templates * KANBAN * template * prototype * Fix tenant runtime pool deployment * Fix local team profiles runtime override * Update local team profiles testing guide * Adapt local team profiles test deployment * Patch tenant NFS server to ClusterIP * Use NFS export root for workspace mounts * Tighten team task completion projection * Fix team event body map comparison * before modification * temp_peer1 * leadermodel * team_fix * fix(team): harden workflow completion and workspace handling * fix(team): harden redis workflow protocol * discord link updated * chore: checkpoint team workflow fixes * fix: stabilize leader kanban ledger * fix: coalesce leader mediated work items * fix: confirm leader-mediated member results * fix: harden leader mediated team state * fix: stabilize team shared runtime state * Fix team task reconciliation and create flow * fix: stabilize leader mediated team orchestration * fix: refine team workspace presentation * checkpoint: persist team workflow ledger fixes * fix: reconcile team workflow delivery state * fix: preserve meaningful team chat events * docs: add team workspace quick guides * chore: ignore local team deployment files * fix: preserve setgid on team shared directories
1.7 KiB
1.7 KiB
Admin and User Guide
This guide maps the main product surfaces for administrators and end users. It is the best starting point when you want to understand how ClawManager is experienced in day-to-day use rather than how it is deployed.
Admin Experience
Administrators use ClawManager to:
- manage users, quotas, and platform-wide policies
- review instances and cluster-level operations
- govern AI Gateway models, audit trails, cost analysis, and risk rules
- manage Security Center and
skill-scanneroperations - prepare reusable resources that users can apply to workspaces
User Experience
End users use ClawManager to:
- create or access OpenClaw workspaces
- create a template-based Team and describe a shared goal in the Team chat
- open workspaces through the portal experience
- inspect runtime status, agent signals, and recent command activity
- attach or remove skills from an instance when permitted
- consume platform-governed AI access through AI Gateway
Product Areas
- AI Gateway Guide
- Agent Control Plane Guide
- Resource Management Guide
- Security / Skill Scanner Guide
- Team Workspace Quick Guide
Suggested Walkthrough
- Start with the AI Gateway overview if your team cares most about model governance.
- Review Agent Control Plane if your focus is runtime visibility and operations.
- Review Resource Management and Security Center if you want reusable channels, skills, and scan-backed workflows.
- Create a Team from a role template when a task benefits from coordinated planning, delivery, and review.