全部 Agent Skills
41,263 个结果
- WikiYeachan-HeoLLM Wiki — persistent markdown knowledge base that compounds across sessions (Karpathy model)
- Writer Memoryyeachan-heoAgentic memory system for writers - track characters, relationships, scenes, and themes
- Consensus Checkgoogle-researchSummarize the sell-side view on an equity — analyst price targets, forward EPS/revenue estimates and ratings — and corroborate it against recent guidance and estimate revisions from the web.
- Dcf Valuationgoogle-researchEstimate a public equity's intrinsic value with a discounted-cash-flow model — pull fundamentals, set a discount rate via CAPM/WACC, project free cash flow, and discount it.
- Equity Deep Divegoogle-researchA thorough single-equity deep dive — read the recent qualitative picture from the web, then ground it in fundamentals and health ratios, an intrinsic DCF with a sensitivity range, a comparable-company cross-check, and the analyst-consensus view.
- Antdant-designUse when the user's task involves Ant Design (antd) — writing antd components, debugging antd issues, querying antd APIs/props/tokens/demos, migrating between antd versions, or analyzing antd usage in a project. Triggers on antd-related code, imports from 'antd', or explicit antd questions.
- TiptapueberdosisIntegrate, build and debug Tiptap editors in applications. Use for Tiptap setup, installing or creating extensions, collaboration, comments, AI features, and document conversion. Excludes contributions to the Tiptap monorepo or unrelated application work.
- Brightdata Web MCPpatchy631Search the web, scrape websites, extract structured data from URLs, and automate browsers using Bright Data's Web MCP. Use when fetching live web content, bypassing blocks/CAPTCHAs, getting product data from Amazon/eBay, social media posts, or when standard requests fail.
- Hugging Face Clipatchy631Execute Hugging Face Hub operations using the `hf` CLI. Use when the user needs to download models/datasets/spaces, upload files to Hub repositories, create repos, manage local cache, or run compute jobs on HF infrastructure. Covers authentication, file transfers, repository creation, cache operations, and cloud compute.
- Hugging Face Datasetspatchy631Create and manage datasets on Hugging Face Hub. Supports initializing repos, defining configs/system prompts, streaming row updates, and SQL-based dataset querying/transformation. Designed to work alongside HF MCP server for comprehensive dataset workflows.
- Hugging Face Evaluationpatchy631Add and manage evaluation results in Hugging Face model cards. Supports extracting eval tables from README content, importing scores from Artificial Analysis API, and running custom model evaluations with vLLM/lighteval. Works with the model-index metadata format.
- Hugging Face Jobspatchy631This skill should be used when users want to run any workload on Hugging Face Jobs infrastructure. Covers UV scripts, Docker-based jobs, hardware selection, cost estimation, authentication with tokens, secrets management, timeout configuration, and result persistence.
- Hugging Face Paper Publisherpatchy631Publish and manage research papers on Hugging Face Hub. Supports creating paper pages, linking papers to models/datasets, claiming authorship, and generating professional markdown-based research articles.
- Hugging Face Tool Builderpatchy631Use this skill when the user wants to build tool/scripts or achieve a task where using data from the Hugging Face API would help. This is especially useful when chaining or combining API calls or the task will be repeated/automated. This Skill creates a reusable script to fetch, enrich or process data.
- Hugging Face Trackiopatchy631Track and visualize ML training experiments with Trackio. Use when logging metrics during training (Python API) or retrieving/analyzing logged metrics (CLI). Supports real-time dashboard visualization, HF Space syncing, and JSON output for automation.
- A2ui RenderercopilotkitRender A2UI (Agent-to-UI declarative surfaces) in CopilotKit v2. Enable the runtime via CopilotRuntime({ a2ui: {...} }), then enable the provider via <CopilotKit a2ui={{ theme }}>. Auto-activates via /info — do NOT manually pass renderActivityMessages.
- Channels SetupcopilotkitUse when a developer wants to build their first CopilotKit Channels agent and get it answering in Slack or Microsoft Teams: "set up a channel", "connect my agent to Slack", "get my agent into Teams", or starting from nothing and wanting a working channel end to end.
- CopilotkitcopilotkitUse for any CopilotKit question — adding it to an app, chat UI, frontend or server tools, generative UI, shared state, human-in-the-loop, agent frameworks (LangGraph, CrewAI, Mastra, ADK, PydanticAI, and others), the runtime, Intelligence, threads, voice, or diagnosing something that is not working.
- Copilotkit AguicopilotkitUse when building custom agent backends, implementing the AG-UI protocol, debugging streaming issues, or understanding how agents communicate with frontends. Covers event types, SSE transport, AbstractAgent/HttpAgent patterns, state synchronization, tool calls, and human-in-the-loop flows.
- Copilotkit ChannelscopilotkitUse for the CODE half of a managed Intelligence Channel with Slack or Microsoft Teams: customising the Channel a CLI-scaffolded project already ships, or — for a project the CLI did not generate — writing the Channel declaration, the long-running host, and the awaited activation call. Teams provider setup is in scope, because the CLI or dashboard wizard performs it.
- Copilotkit ClicopilotkitUse for the CopilotKit CLI — `npx copilotkit@latest`. Covers proving a project's wiring with `verify` before debugging anything by hand, scaffolding with `create`, signing in and selecting a hosted Intelligence project, agent-assisted onboarding of an existing app, generating type-safe agent ids, and importing thread history. Reach for `verify` first whenever a CopilotKit app is not working.
- Copilotkit ContributecopilotkitUse when contributing to the CopilotKit open-source project — forking, cloning, setting up the monorepo, creating branches, running tests, and submitting pull requests against CopilotKit/CopilotKit.
- Copilotkit DebugcopilotkitUse when diagnosing CopilotKit issues -- runtime connectivity failures, agent not responding, streaming errors, tool execution problems, transcription failures, version mismatches, and AG-UI event tracing.
- Copilotkit DevelopcopilotkitUse when building AI-powered features with CopilotKit v2 -- adding chat interfaces, registering frontend tools, sharing application context with agents, handling agent interrupts, and working with the CopilotKit runtime.