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General-Purpose Claude Skills (Page 240 of 389)

Productivity, automation, knowledge management, integrations, AI tooling, and general-purpose skills for Claude Code.

23,313 skills · updated 2026-05-04 · showing 14341–14400 of 23,313 by quality score

Investor-ready 10-slide HTML pitch deck — white + blue→purple gradient hero, big numbers, traction bar chart, $4.5M-style ask page.
Score 70/100
演讲者模式专用 deck — tokyo-night 默认主题,5 套主题 T 键切换,每页带 150-300 字逐字稿示例(
Score 70/100
Conference / internal tech-talk deck — GitHub-dark, JetBrains Mono, terminal code blocks, agenda + Q&A pages.
Score 70/100
Team weekly / status-update deck — corporate clarity, 8-cell KPI grid, shipped list, 8-week bar chart, next-week table.
Score 70/100
柔和马卡龙慢生活 deck — 奶油 #fef8f1 底 + 三个柔光 blob、Playfair 斜体衬线 display 标题混 sans 正文、28px 圆角马卡龙卡片(桃 / 薄荷 / 天 / 紫 / 柠 / 玫)、Playfair 斜体 01-04 序号、SVG donut 图、chip+page 顶栏。适合生活方式 / 个人成长 / 慢生活 /…
Score 70/100
小红书 / Instagram 风 9 页 3:4 竖版图文(810×1080)— 暖色 pastel、虚线 sticker 卡片、底部页码点点。用于发小红书图文、Instagram carousel、品牌种草内容。
Score 70/100
Generate HTML-based presentations with reveal.js or similar frameworks. Use when creating web-based presentations.
Score 70/100
Validate HTML5 structure and basic syntax. BLOCKING quality gate - stops pipeline if validation fails. Ensures deterministic output quality.
Score 70/100
Apply opinionated styling to barebones HTML. Use when user has plain/unstyled HTML and wants to apply consistent visual styling.
Score 70/100
Capture HTML/React components as PNG textures for 3D models — html2canvas, CanvasTexture, capture pipeline, resolution settings.
Score 70/100
Automate Html To Image tasks via Rube MCP (Composio). Always search tools first for current schemas.
Score 70/100
Convert HTML files or URLs to high-fidelity PDFs using Puppeteer; auto-detects or forces RTL for Hebrew/Arabic when RTL content is present.
Score 70/100
HtmlGraph workflow skill combining session tracking, orchestration, and parallel coordination. Activated automatically at session start.
Score 70/100
HtmlGraph workflow skill combining session tracking, orchestration, and parallel coordination. Activated automatically at session start.
Score 70/100
Build interactive hypermedia-driven applications with Axum and HTMX. Use when creating dynamic UIs, real-time updates, AJAX interactions, mentions 'HTMX', 'dynamic content', or…
Score 70/100
Use CloudBase HTTP API to access CloudBase platform features (database, authentication, cloud functions, cloud hosting, cloud storage, AI) via HTTP protocol from backends or…
Score 70/100
Http Client Config - Auto-activating skill for API Integration. Triggers on: http client config, http client config Part of the API Integration skill category.
Score 70/100
HTTP client patterns for axios configuration, interceptors, and request handling
Score 70/100
HTTP client configuration, API providers, error handling, and request/response patterns
Score 70/100
Http Method Helper - Auto-activating skill for API Development. Triggers on: http method helper, http method helper Part of the API Development skill category.
Score 70/100
API 接口测试工作流,使用 HTTPie 作为核心工具。当用户需要测试 API 接口、执行接口调用、生成测试报告、管理接口依赖关系、或在项目中建立标准化的接口测试流程时使用此 skill。适用于 RESTful API 测试、接口联调、回归测试等场景。
Score 70/100
Expert na automatizaci jednotek Huawei SmartAX MA5683T OLT (verze V800R015C00) přes SSH. Použij tento skill vždy, když uživatel zmíní MA5683T, MA5680T, SmartAX OLT, GPON OLT,…
Score 70/100
When the user wants to solve hub location problems, design hub-and-spoke networks, optimize hub placement for logistics networks.
Score 70/100
HubSpot CRM and CMS API integration for contacts, companies, deals, owners, and content management.
Score 70/100
Use when building in-game HUDs — health bars, score displays, minimap, notifications, and damage numbers
Score 70/100
Use the Hugging Face Hub CLI (`hf`) to download, upload, and manage models, datasets, and Spaces.
Score 70/100
Create and manage datasets on Hugging Face Hub. Supports initializing repos, defining configs/system prompts, and streaming row updates.
Score 70/100
Query Hugging Face datasets through the Dataset Viewer API for splits, rows, search, filters, and parquet links.
Score 70/100
Create and manage datasets on Hugging Face Hub. Supports initializing repos, defining configs/system prompts, streaming row updates, and SQL-based dataset querying/transformation.
Score 70/100
Add and manage evaluation results in Hugging Face model cards. Supports extracting eval tables from README content, importing scores from Artificial Analysis API, and running…
Score 70/100
Add and manage evaluation results in Hugging Face model cards. Supports extracting eval tables from README content, importing scores from Artificial Analysis API, and running…
Score 70/100
Run workloads on Hugging Face Jobs with managed CPUs, GPUs, TPUs, secrets, and Hub persistence.
Score 70/100
Train or fine-tune TRL language models on Hugging Face Jobs, including SFT, DPO, GRPO, and GGUF export.
Score 70/100
Read and analyze Hugging Face paper pages or arXiv papers with markdown and papers API metadata.
Score 70/100
Your purpose is now is to create reusable command line scripts and utilities for using the Hugging Face API, allowing chaining, piping and intermediate processing where helpful.
Score 70/100
Train or fine-tune vision models on Hugging Face Jobs for detection, classification, and SAM or SAM2 segmentation.
Score 70/100
Import GGUF models from HuggingFace into Ollama. Pull models directly using the hf.co/ prefix, track download progress, and use imported models for inference.
Score 70/100
Run evaluations for Hugging Face Hub models using inspect-ai and lighteval on local hardware. Use for backend selection, local GPU evals, and choosing between vLLM / Transformers…
Score 70/100
Hugging Face Hub CLI (hf) — search, download, and upload models and datasets, manage repos, query datasets with SQL, deploy inference endpoints, manage Spaces and buckets.
Score 70/100
Runs ML models in the browser and Node.js with Transformers.js and Hugging Face Inference API. Use when adding local inference, embeddings, or calling hosted models without GPU…
Score 70/100
Use to select models to run locally with llama.cpp and GGUF on CPU, Mac Metal, CUDA, or ROCm. Covers finding GGUFs, quant selection, running servers, exact GGUF file lookup,…
Score 70/100
Train and fine-tune LLMs using HuggingFace TRL, Transformers, and cloud GPU infrastructure with SFT, DPO, GRPO methods
Score 70/100
Use Hugging Face Transformers for local model inference, embeddings, and fine-tuning. Covers pipelines, model selection, quantization, and optimization.
Score 70/100
Trains and fine-tunes vision models for object detection (D-FINE, RT-DETR v2, DETR, YOLOS), image classification (timm models — MobileNetV3, MobileViT, ResNet, ViT/DINOv3 — plus…
Score 70/100
Creates human-friendly documentation from AI context documentation. Transforms detailed AI documentation in ai/ folder into digestible summaries, quick starts, and visual diagrams…
Score 70/100
Study of human activities, spatial patterns, and social processes on Earth's surface. Covers population and migration, cultural diffusion and landscapes, urbanization and city…
Score 70/100
Assessing anthropogenic environmental impacts — pollution pathways, habitat destruction and fragmentation, land-use change, invasive species, overharvest, and extinction debt.
Score 70/100
Design de systèmes human-in-the-loop pour agents IA avec approbation, correction et escalade. Se déclenche avec "human in the loop", "HITL", "approbation humaine", "validation…
Score 70/100
À utiliser quand l'utilisateur demande d'humaniser un texte, de le rendre humain / moins robotique / moins IA / moins ChatGPT, de faire correspondre son style, de passer un…
Score 70/100
Remove AI-writing patterns from French text and inject voice, personality, and soul. Use when editing, reviewing, rewriting, or cleaning up French content that reads like…
Score 70/100
Automate Humanitix tasks via Rube MCP (Composio). Always search tools first for current schemas.
Score 70/100
Multi-language AI text humanizer with 12 languages, 500+ patterns, and 5 writing modes
Score 70/100
Натурализация русскоязычного текста - убрать маркеры ИИ-генерации. Использовать когда: Хабр-статьи, блоги, маркетинг, любой русский текст который не должен читаться как ИИ.
Score 70/100
Remove AI-generated writing patterns from Modern Standard Arabic (MSA/الفصحى) text. Use when editing or reviewing Arabic formal text to make it sound naturally human-written.
Score 70/100
Скилл для очеловечивания русскоязычного текста. Убирает признаки AI-генерации, делает текст живым. Используй ВСЕГДА, когда пользователь просит: очеловечить текст, убрать следы…
Score 70/100
Automate Humanloop tasks via Rube MCP (Composio). Always search tools first for current schemas.
Score 70/100
Complete HUMMBL Base120 mental models framework with all 120 models across 6 transformations (Perspective, Inversion, Composition, Decomposition, Recursion, Meta-Systems).
Score 70/100
Complete HUMMBL Base120 mental models framework with all 120 models across 6 transformations (Perspective, Inversion, Composition, Decomposition, Recursion, Meta-Systems).
Score 70/100
Map available telemetry, query surfaces, tenants, retention windows, and investigation blind spots
Score 70/100
Automate Hunter.io email intelligence -- search domains for email addresses, find specific contacts, verify email deliverability, manage leads, and monitor account usage -- using…
Score 70/100
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