'pip' 검색 결과

Hugging Face Hub CLI (`hf`) for downloading, uploading, and managing models, datasets, spaces, buckets, repos, papers, jobs, and more on the Hugging Face Hub. Use when: handling authentication; managing local cache; managing Hugging Face Buckets; running or scheduling jobs on Hugging Face infrastructure; managing Hugging Face repos; discussions and pull requests; browsing models, datasets and spaces; reading, searching, or browsing academic papers; managing collections; querying datasets; configuring spaces; setting up webhooks; or deploying and managing HF Inference Endpoints. Make sure to use this skill whenever the user mentions 'hf', 'huggingface', 'Hugging Face', 'huggingface-cli', or 'hugging face cli', or wants to do anything related to the Hugging Face ecosystem and to AI and ML in general. Also use for cloud storage needs like training checkpoints, data pipelines, or agent traces. Use even if the user doesn't explicitly ask for a CLI command. Replaces the deprecated `huggingface-cli`.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Requires OFOX_API_KEY — create one at https://app.ofox.ai. Shared execution layer for the Ofox image API (api.ofox.ai) — validates parameters client-side, sends one synchronous request, base64-decodes the result, saves it to a file, and reports the real usage token counts and the computed dollar cost. Does both text-to-image (generate) and editing an existing image you supply as a local file (edit — change the background, recolour an element, alter a product photo, while leaving the rest of the picture intact). This is a library skill, not a standalone user-facing one — it is meant to be invoked by scenario skills that build model/prompt/size choices for a specific use case and then call into this skill's script rather than re-implementing the API calls — image-edit owns "change this image so that...", product-image owns a set of product images to choose between, and seedance-anime-drama owns character images for a video pipeline. Load this skill directly only when a user explicitly names the Ofox image API, asks to call it with specific low-level parameters, asks to debug a failed Ofox image request, or wants a plain "generate an image of..." from text — which is the one common case no scenario skill covers.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Routes qualified leads to the right team member or sequence based on score, segment, and source. Applies configurable routing rules to assign leads to founder direct, SDR sequences, or nurture campaigns.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Monthly strategic review playbook. Chains pipeline-review + campaign-analyzer + win-loss-analyzer + gtm-analyzer. Outputs executive summary with KPIs, channel ROI, competitive shifts, and strategic recommendations.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Classify reply sentiment and determine next action

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Read and write data to the agency CRM (Google Sheets via webhook or API)

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Add --json flag to CLI commands for machine-readable output on stdout. Generic pattern for any CLI tool, enabling piping to jq and CI/CD integration while keeping human-readable output on stderr.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Set up GitHub Actions CI pipeline with test, lint, type-check, and build jobs for a Node.js/TypeScript project. Includes output grouping, error annotations, and job summary patterns.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Use when you need to visually interact with a GUI — test buttons, fill forms, verify visual layouts, fuzz web pages, automate user flows, take screenshots, or perform end-to-end QA on any application. Works on cloud VMs, Docker containers, local machines, and sandboxes. Install: pip install cua.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Build production-grade AI agents from scratch using patterns inspired by production-grade agentic systems like Claude Code. Covers two audiences — (1) workflow builders who need planner+executor pipelines, human-in-the-loop checkpoints, and multi-agent orchestration, and (2) application embedders who need HTTP/SSE APIs, multi-user session management, and React frontend integration. Use when asked to build an AI agent, create a coding assistant, embed an agent in an app, build an API agent, clone Claude Code, build a CLI agent, design an agent architecture, scaffold an agentic system, or automate a multi-step workflow. Triggers on keywords like agent builder, agent blueprint, coding assistant, CLI agent, agentic tool, claude code clone, agent scaffold, agent architecture, workflow automation, multi-agent, planner executor, SSE streaming, agent API.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Create polished, validated architecture, workflow, sequence, data-flow, and lifecycle/state diagrams as explorable standalone HTML with inline SVG, dark/light themes, optional trace motion, and PNG/JPEG/WebP/SVG/WebM export. Accept plain-language requirements or pasted Mermaid flowchart, sequenceDiagram, and stateDiagram input; inspect repository evidence when the diagram must reflect real code. Use when the user asks to visualize system architecture, infrastructure, cloud/security/network topology, technical workflows, API call sequences, request lifecycles, data pipelines, ETL/ELT, data lineage, state machines, or to convert/beautify Mermaid.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.