agentscope-ai
Review Skills published by agentscope-ai, their source repositories, maintenance signals, and identity status.
- Skills
- 9
- Repository stars
- 34,608
- Identity status
- Source-linked
Provenance
Source and identity
- Profile type
- Creator
- Canonical name
- agentscope-ai
- Public sources
- 2
- License context
- Apache-2.0
Source entries
Agent Skills from agentscope-ai
Repository stars and maintenance signals provide context, but do not automatically become an individual Skill's quality score.
agentscope-ai/QwenPaw
channel_message
Use this skill to proactively send a one-way message to a user/session/channel, usually only when the user explicitly asks to send to a channel/session or when proactive notification is needed. First query sessions with qwenpaw chats list, then push with qwenpaw channels send.
agentscope-ai/QwenPaw
chat_with_agent
Use this skill when you need to consult another agent, ask for help, or involve a specific agent the user asked for.
agentscope-ai/QwenPaw
cron
Use this skill only for scheduled or recurring tasks. Manage jobs with qwenpaw cron list/create/get/state/update/pause/resume/delete/run, and always pass --agent-id explicitly.
agentscope-ai/QwenPaw
make-skill
Use this skill when sedimenting a session into a reusable workspace skill. Triggers when the user wants to turn the current conversation, workflow, or troubleshooting path into a SKILL.md. Phrases like 'turn this into a skill', 'remember how I did X', 'save this workflow', 'make a skill from this', and any /make-skill <focus> invocation should fire this skill.
agentscope-ai/QwenPaw
multi_agent_collaboration
Use this skill when another agent's expertise or context is needed, or when the user explicitly asks to involve another agent. First list agents, then use qwenpaw agents chat for two-way communication with replies.
agentscope-ai/AgentTeams
task-management
Use before any Leader taskflow call or task-level workflow involving delegating a ready DAG or Loop node, writing task meta/spec, checking a Worker task result, handling result statuses, task directory ownership, or Worker result contracts. Always use this skill when the request mentions delegate_task, check_task, task result.md, task spec.md, BLOCKED, REVISION_NEEDED, INTERRUPTED, SUCCESS, or assigning/delegating a Worker task.
agentscope-ai/AgentTeams
teamharness-communication
Use for TeamHarness message delivery details after a flow has decided a message must be sent: current-session reply, NO_REPLY, cross-room/cross-channel message tool payloads, PROJECT_REQUESTED task-room handoff, and requester replyRoute reports. Do not use to choose work mode, create rooms, delegate, check, or accept tasks.
agentscope-ai/AgentTeams
teamharness-project-management
Use when a Leader maintains durable TeamHarness project state for Quick Task or Project Work: create_quick_project, create_project, plan_dag, plan_loop, ready_nodes, resolve_project, accept_task_result, project completion, and requester report state. Do not use to create Matrix task rooms or send messages.
agentscope-ai/QwenPaw
terraform-skill
Use when working with Terraform or OpenTofu - creating modules, writing tests (native test framework, Terratest), setting up CI/CD pipelines, reviewing configurations, choosing between testing approaches, debugging state issues, implementing security scanning (trivy, checkov), or making infrastructure-as-code architecture decisions
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