Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Tencent SkillHub Β· AI
CopilotKit-agent-patterns
Patterns for building AI agents that integrate with CopilotKit. Use when designing agent architecture, implementing AG-UI event streaming, managing shared st...
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Patterns for building AI agents that integrate with CopilotKit. Use when designing agent architecture, implementing AG-UI event streaming, managing shared st...
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Install for OpenClaw
Quick setup
- Download the package from Yavira.
- Extract the archive and review SKILL.md first.
- Import or place the package into your OpenClaw setup.
Package facts
- Download mode
- Yavira redirect
- Package format
- ZIP package
- Source platform
- Tencent SkillHub
- What's included
- metadata.json, README.md, SKILL.md, rules/state-conflict-resolution.md, rules/_template.md, rules/agui-tool-call-lifecycle.md
Validation
- Use the Yavira download entry.
- Review SKILL.md after the package is downloaded.
- Confirm the extracted package contains the expected setup assets.
Install with your agent
Agent handoff
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
- Download the package from Yavira.
- Extract it into a folder your agent can access.
- Paste one of the prompts below and point your agent at the extracted folder.
New install
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Then review README.md for any prerequisites, environment setup, or post-install checks. Tell me what you changed and call out any manual steps you could not complete.
Upgrade existing
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Trust & source
Release facts
- Source
- Tencent SkillHub
- Verification
- Indexed source record
- Version
- 1.0.2
Provenance
- Publisher
- GeneralJerel
- Source page
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- Canonical URL
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Documentation
CopilotKit Agent Patterns
Architecture and implementation patterns for building AI agents that connect to CopilotKit. Contains 20 rules across 5 categories, prioritized by impact.
When to Apply
Reference these guidelines when: Designing agent architecture for CopilotKit integration Implementing AG-UI protocol event streaming Managing state synchronization between agent and frontend Adding human-in-the-loop checkpoints to agent workflows Emitting tool calls that render generative UI in the frontend
Rule Categories by Priority
PriorityCategoryImpactPrefix1Agent ArchitectureCRITICALarchitecture-2AG-UI ProtocolHIGHagui-3State ManagementHIGHstate-4Human-in-the-LoopMEDIUMhitl-5Generative UI EmissionMEDIUMgenui-
1. Agent Architecture (CRITICAL)
architecture-built-in-agent - Use BuiltInAgent from @copilotkit/runtime/v2 for simple agents architecture-model-resolution - Use provider/model string format for model selection architecture-max-steps - Set maxSteps to prevent infinite tool call loops architecture-mcp-servers - Configure MCP endpoints for external tool access
2. AG-UI Protocol (HIGH)
agui-event-ordering - Emit events in correct order (start -> content -> end) agui-text-streaming - Stream text incrementally, not as single blocks agui-tool-call-lifecycle - Follow the complete tool call event lifecycle agui-state-snapshot - Emit STATE_SNAPSHOT events for frontend sync agui-error-events - Always emit error events on failure
3. State Management (HIGH)
state-snapshot-frequency - Emit state snapshots at meaningful checkpoints state-minimal-payload - Keep state snapshots minimal and serializable state-conflict-resolution - Handle bidirectional state conflicts gracefully state-thread-isolation - Isolate state per thread, not per agent
4. Human-in-the-Loop (MEDIUM)
hitl-approval-gates - Use tool calls for approval gates, not custom events hitl-timeout-fallback - Always set timeouts with fallback behavior hitl-context-in-prompt - Include sufficient context for user decisions hitl-resume-state - Preserve full state when resuming after approval
5. Generative UI Emission (MEDIUM)
genui-tool-call-render - Emit tool calls that map to frontend useRenderTool genui-streaming-args - Stream tool args incrementally for real-time UI genui-activity-messages - Use text messages for non-tool status updates
How to Use
Read individual rule files for detailed explanations and code examples: rules/architecture-built-in-agent.md rules/agui-event-ordering.md
Full Compiled Document
For the complete guide with all rules expanded: AGENTS.md
Category context
Agent frameworks, memory systems, reasoning layers, and model-native orchestration.
Source: Tencent SkillHub
Largest current source with strong distribution and engagement signals.
Package contents
Included in package
5 Docs1 Config
- SKILL.md
- README.md
- rules/_template.md
- rules/agui-tool-call-lifecycle.md
- rules/state-conflict-resolution.md
- metadata.json