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explainx.ai

home/skills/tag/productivity
skill tag

productivity▌

6,493 indexed skills · max 10 per page

skills (6493)

here-now

heredotnow/skill · Productivity

0

Instantly publish files and folders to the web with a live, shareable URL. \n \n Supports any file type: HTML sites, images, PDFs, videos, and raw files with auto-generated viewers and directory listings \n Anonymous sites expire in 24 hours; authenticated sites (with API key) are permanent \n Single command workflow: ./scripts/publish.sh {file-or-dir} creates a live URL; use --slug flag to update existing sites \n Includes optional handles (user-owned subdomains) and custom domain support for a

persona-team-lead

googleworkspace/cli · Productivity

0

Team leadership persona with standup coordination, meeting prep, task delegation, and team communication. \n \n Includes four core workflows: daily standup reports, 1:1 meeting preparation, weekly digests, and email-to-task delegation \n Integrates Google Workspace tools (Calendar, Gmail, Chat, Drive, Sheets) for unified team coordination and OKR tracking \n Supports calendar views, direct Chat messaging for report distribution, and data sanitization for sensitive information \n Requires five pr

appinsights-instrumentation

microsoft/azure-skills · Productivity

0

Guidance and reference material for instrumenting webapps with Azure Application Insights. \n \n Covers SDK setup, telemetry patterns, and configuration for ASP.NET Core and Node.js applications hosted in Azure \n Distinguishes between this skill (reference and guidance) and azure-prepare (actual implementation); invoke azure-prepare when the user wants to add instrumentation to their project \n Provides auto-instrumentation guidance for C# ASP.NET Core apps in Azure App Service, plus manual ins

color-palette

jezweb/claude-skills · Productivity

0

Generate accessible 11-shade colour palettes and Tailwind v4 CSS from a single brand hex. \n \n Produces complete scales (50–950) with semantic tokens for light and dark modes, plus WCAG AA contrast verification \n Outputs ready-to-paste Tailwind v4 CSS with colour variables and dark mode overrides \n Includes reference guides for HSL conversion, semantic token mapping, and contrast checking formulas \n Designed for design system setup, theme creation, and brand colour standardization workflows

twitter-automation

inferen-sh/skills · Productivity

0

Post, like, retweet, and manage Twitter/X accounts via CLI commands. \n \n Nine app commands covering tweet posting with media, liking, retweeting, DMs, user following, and profile retrieval \n Integrates with inference.sh CLI ( infsh ) for direct command-line automation of X/Twitter actions \n Supports media attachment workflows by chaining with image and video generation apps \n Requires inference.sh CLI installation and X API authentication via infsh login \n

qwen-image-2

inferen-sh/skills · Productivity

0

Text-to-image and multi-image editing with Alibaba Qwen-Image-2.0 models via inference.sh CLI. \n \n Two models available: Qwen-Image-2.0 for fast general use, and Qwen-Image-2.0-Pro for professional text rendering and fine-grained control \n Supports text-to-image generation, multi-reference image editing (up to 3 input images), custom resolutions (512–2048 pixels), and negative prompts \n Key parameters include prompt extension toggle, seed-based reproducibility, watermark control, and batch g

plugin-forge

softaworks/agent-toolkit · Productivity

0

Scaffold, structure, and manage Claude Code plugins with automated manifest generation and version control. \n \n Includes Python scripts for creating plugins and bumping semantic versions across both plugin.json and marketplace.json manifests \n Supports four component types: commands (with namespace-based naming), skills, agents, and hooks, each with defined directory structures \n Provides three plugin patterns (framework, utility, domain) with reference documentation covering structure, mark

prompt-engineer

davila7/claude-code-templates · Productivity

0

Expert guidance for designing, testing, and optimizing prompts that reliably guide LLM behavior. \n \n Covers six core capabilities: prompt design and optimization, system prompt architecture, context window management, output format specification, few-shot example design, and prompt testing and evaluation \n Provides structured patterns for system prompts, few-shot examples, and chain-of-thought reasoning with explicit anti-patterns and sharp edges to avoid \n Emphasizes systematic evaluation a

tooluniverse-sequence-retrieval

mims-harvard/tooluniverse · Productivity

0

Retrieve DNA, RNA, and protein sequences from NCBI and ENA with automatic gene disambiguation and cross-database handling. \n \n Searches NCBI Nucleotide by organism, gene name, strain, and sequence type; automatically disambiguates genes across species and resolves accession prefixes to the correct database \n Handles RefSeq (NC_, NM_, NP_) and GenBank accessions with intelligent fallback between NCBI and ENA; never attempts ENA queries on RefSeq-only accessions \n Returns detailed sequence pro

axiom-sre

axiomhq/skills · Productivity

0

axiom-sre

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