productivity▌
6,493 indexed skills · max 10 per page
wireframe-prototyping
aj-geddes/useful-ai-prompts · Productivity
Design visualization and feedback tool for early-stage UI validation before development. \n \n Covers three fidelity levels: low-fidelity sketches (30 min–2 hrs, brainstorming), medium-fidelity layouts (2–8 hrs, team alignment), and high-fidelity prototypes (8+ hrs, developer handoff) \n Recommended tools span Balsamiq and whiteboards for sketches, Figma/Sketch/Adobe XD for medium fidelity, and Figma/Framer for interactive prototypes \n Best practices emphasize early user testing, mobile-first d
architecture-patterns
wshobson/agents · Productivity
Implement proven backend architecture patterns for maintainable, testable, and scalable systems. \n \n Covers three core patterns: Clean Architecture (layered dependency inward), Hexagonal Architecture (ports and adapters), and Domain-Driven Design (bounded contexts, aggregates, value objects) \n Includes complete directory structures, code examples, and implementation patterns for Python backends using FastAPI, asyncpg, and similar frameworks \n Demonstrates practical separation of concerns: do
pocketbase-best-practices
greendesertsnow/pocketbase-skills · Productivity
42 rules across 8 categories for PocketBase v0.36+, prioritized by impact.
whisper
davila7/claude-code-templates · Productivity
Multilingual speech recognition with 99 languages, transcription, translation, and six model sizes from 39M to 1550M parameters. \n \n Supports transcription, translation to English, language identification, and word-level timestamps across 99 languages trained on 680,000 hours of audio \n Six model sizes (tiny through large) with configurable speed/quality tradeoffs; turbo model offers 8× speedup over large with comparable quality \n GPU acceleration delivers 10–20× faster processing; CPU trans
markdown-token-optimizer
microsoft/github-copilot-for-azure · Productivity
Analyzes markdown files and suggests token-reduction optimizations while preserving clarity. \n \n Counts tokens using a 4-character-per-token approximation and identifies token-wasting patterns including emojis, verbosity, duplication, and oversized code blocks \n Generates a detailed suggestions table showing issue location, description, recommended fix, and estimated token savings \n Targets SKILL.md files for under 500 tokens and reference files for under 1000 tokens \n Provides recommendati
adk-cheatsheet
google/adk-docs · Productivity
Quick reference for Python ADK API, agent types, tools, orchestration, and state management. \n \n Covers Python ADK SDK only; includes agent definitions, tool patterns, callbacks, plugins, state management, artifacts, and context caching \n Provides a searchable index of all ADK documentation pages with URLs for fetching reference materials \n Intended as a lookup resource while writing or modifying code in existing projects, not for bootstrapping new agents \n Reference files include python.md
electron
teachingai/full-stack-skills · Productivity
Comprehensive Electron framework guidance for building cross-platform desktop applications. \n \n Covers main process, renderer process, preload scripts, and IPC communication patterns with code examples \n Includes API reference and practical examples for BrowserWindow, Menu, Tray, Dialog, and other core modules \n Provides best practices for security (nodeIntegration, preload scripts), process separation, and resource management \n Addresses packaging, auto-updates, native module compatibility
planning-with-files-zh
othmanadi/planning-with-files · Productivity
像 Manus 一样工作:用持久化的 Markdown 文件作为你的「磁盘工作记忆」。
technical-writer
onewave-ai/claude-skills · Productivity
Generates comprehensive technical documentation tailored to any audience and documentation type. \n \n Supports nine documentation formats: user guides, API docs, system architecture, tutorials, troubleshooting guides, READMEs, release notes, onboarding materials, and knowledge base articles \n Automatically identifies audience level (beginner, intermediate, expert) and adjusts technical depth, terminology, and examples accordingly \n Structures content with clear headings, step-by-step instruct
orpc-contract-first
langgenius/dify · Productivity
Contract-first API patterns for Dify frontend using oRPC with TanStack Query integration. \n \n Define contracts in web/contract/* as single source of truth; consume via useQuery(consoleQuery.xxx.queryOptions(...)) at call sites for 1:1 endpoint mappings \n Use .key() for partial matching in invalidation/refetch, .queryKey() for specific query identity, and .mutationKey() for mutation defaults or status filtering \n Extract queryOptions helpers only when 3+ call sites share identical options; cr