Browse reusable Agent Skills, each with a clear purpose and practical guidance.
Sets up bot handlers using DSL or annotations. Use when configuring command handlers, input handlers, common handlers, update handlers, or fallback handlers for the telegram-bot library.
Update awesome-claude-code-config to the latest version. Checks remote for new releases, then re-runs the installer with the interactive selector. Use when user types /update-config or asks to update their Claude Code configuration.
当用户需要自定义 Trae Skills 的配置、覆盖角色设定、调整技术偏好或定义全局规则时使用。此 Skill 指导用户创建和修改 USER_PREFERENCES.md 文件。
Add a custom Python tool to an AG2 beta `Agent` using the `@tool` decorator. Use when the user wants to give an Agent a new capability backed by Python code (API calls, DB queries, computations, file ops). Covers sync and async tools, parameter typing, Pydantic schema customisation, returning typed `Input` / `ToolResult` (text / data / images / binary), `final=True` early-exit, and dependency injection via `Context` / `Inject` / `Variable` / `Depends`.
Expose an AG2 beta `Agent` over the AG-UI protocol so a frontend (CopilotKit, custom React/Next.js, or any AG-UI client) can stream responses, render tool calls, sync shared state, and surface human-input checkpoints. Wraps the agent with `AGUIStream(agent)` and mounts it in FastAPI via `stream.dispatch(...)` or `stream.build_asgi()`. Use when the user wants a web frontend in front of an AG2 agent rather than a CLI / script.
Pause an AG2 beta `Agent` mid-run to collect human input via `context.input()`, or gate a tool call with `approval_required()` middleware. Use when the user wants the agent to ask for confirmation, request missing info (passwords, API keys, data), or have a human approve sensitive / irreversible / expensive tool calls (sending emails, deleting records, payments).
Persist agent state across runs, shape what the LLM sees per turn, and cap history to fit a context window. Covers `KnowledgeStore` (memory / sqlite / disk / redis), `KnowledgeConfig` (`store=`, `compact=`, `aggregate=`, `bootstrap=`), aggregation strategies (`WorkingMemoryAggregate`, `ConversationSummaryAggregate`), assembly policies (`WorkingMemoryPolicy`, `EpisodicMemoryPolicy`, `ConversationPolicy`, `SlidingWindowPolicy`, `TokenBudgetPolicy`, `AlertPolicy`), and compaction (`TailWindowCompact`, `SummarizeCompact`). Use when the user wants the agent to remember between conversations, manage long histories, or control prompt assembly.
Monitor an AG2 beta agent's stream — log events, detect repeated tool calls, track token spend, build trigger-driven observers, route observer alerts to the model, and halt on FATAL conditions. Covers `@observer(...)` (stateless), `BaseObserver` (stateful), built-ins (`TokenMonitor`, `LoopDetector`), `Watch` primitives (`EventWatch`, `CadenceWatch`, `DelayWatch`, `IntervalWatch`, `CronWatch`, `AllOf`, `AnyOf`, `Sequence`), `ObserverAlert` (`Severity.INFO/WARNING/CRITICAL/FATAL`), `AlertPolicy`, and `HaltEvent`. Use when the user wants observability, runtime safety guards, alerts, or batch/time-based reactive logic.
Map of AG2 beta capabilities and which sibling skill to reach for. Load first when the user mentions building with AG2 beta (autogen.beta) but the specific feature isn't yet clear — agents, tools, model config, delegation, memory, observers, structured output, HITL, AG-UI, telemetry, or testing.
Build a minimal AG2 beta `Agent` end to end — pick a model provider, set a prompt, call `agent.ask()`, then continue the conversation with `reply.ask()` (multi-turn). Use when the user is starting a new AG2 beta project, has no working `Agent` yet, or needs the multi-turn chaining pattern. Covers `OpenAIConfig`, `AnthropicConfig`, `GeminiConfig`, `OllamaConfig` etc., and env-var fallback for API keys.