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home/skills/tag/productivity
skill tag

productivity▌

6,487 indexed skills · max 10 per page

skills (6487)

pm-skills

alirezarezvani/claude-skills · Productivity

0

6 production-ready project management skills with Atlassian MCP integration.

desktop

lobehub/lobehub · Productivity

0

Electron desktop development guide for LobeHub's main-renderer architecture. \n \n Covers controller creation, IPC type definitions, renderer services, and store actions for adding new desktop features \n Includes security best practices: input validation, limited API exposure, and preload script patterns for safe main-renderer communication \n Provides structured references for feature implementation, local tools workflow, menu configuration, and window management \n Emphasizes async methods, b

storyboard

deanpeters/product-manager-skills · Productivity

0

Six-frame visual narrative that guides stakeholders through a user's problem-to-solution journey. \n \n Follows a classic storytelling arc: introduce character, escalate problem, trigger urgency, reveal solution, show breakthrough, and illustrate improved outcome \n Designed for alignment meetings, feature pitches, and concept validation rather than UI mockups or technical documentation \n Requires upfront clarity on persona, problem statement, and solution definition; includes seven guided ques

alphaear-stock

rkiding/awesome-finance-skills · Productivity

0

Search A-Share/HK/US stock tickers and retrieve historical price data (OHLCV).

computer-use-agents

sickn33/antigravity-awesome-skills · Productivity

0

AI agents that perceive screens, reason about actions, and control computers like humans do. \n \n Implements the perception-reasoning-action loop: capture screenshot, analyze with vision-language model, execute mouse/keyboard operations, repeat \n Covers Anthropic's Computer Use (Claude 3.5 Sonnet and Opus 4.5), with tool support for screenshots, mouse/keyboard control, bash execution, and file editing \n Requires sandboxed environments (Docker containers with virtual desktops) to isolate agent

strategy-compare

marketcalls/vectorbt-backtesting-skills · Productivity

0

Side-by-side backtesting comparison of multiple trading strategies on the same symbol. \n \n Compares user-specified strategies (or defaults to ema-crossover, rsi, donchian, supertrend) against the same historical data and NIFTY benchmark \n Supports \"long-vs-short\" mode to test longonly, shortonly, and both directions for a given strategy \n Uses TA-Lib for standard indicators and OpenAlgo ta for specialty indicators like Supertrend and Donchian; cleans signals with exrem() to avoid consecuti

desktop-computer-automation

web-infra-dev/midscene-skills · Productivity

0

Vision-driven desktop automation for native apps using natural language commands and screenshots. \n \n Controls macOS, Windows, and Linux desktops entirely from visual input; no DOM or accessibility labels required \n Operates synchronously with a screenshot-analyze-act loop: connect, observe screen state, execute high-level actions via natural language prompts, then disconnect \n Requires a vision-capable AI model (Gemini, Qwen, Doubao, or similar) configured via environment variables; support

chrome-bridge-automation

web-infra-dev/midscene-skills · Productivity

0

Vision-driven browser automation using your real Chrome browser, preserving sessions and login state. \n \n Operates entirely from screenshots without requiring DOM access; interacts with all visible elements regardless of technology stack \n Connects to desktop Chrome via Midscene Extension through Chrome DevTools Protocol, never taking over mouse or keyboard \n Supports multi-step workflows including navigation, form filling, data extraction, UI testing, and screenshot capture \n Requires visu

conversation-memory

sickn33/antigravity-awesome-skills · Productivity

0

Persistent memory systems for LLM conversations with tiered storage and intelligent retrieval. \n \n Implements three memory types: short-term (immediate context), long-term (historical facts), and entity-based (facts about specific entities) \n Provides memory retrieval and consolidation capabilities to surface relevant memories without overwhelming context windows \n Addresses critical concerns including unbounded memory growth, retrieval relevance, and strict user isolation to prevent cross-u

commit

getsentry/skills · Productivity

0

Enforces Sentry conventional commit format with proper types, scopes, and issue references. \n \n Requires feature branch creation before committing to main or master; uses the create-branch skill to manage branch workflow \n Supports 12 commit types (feat, fix, ref, perf, docs, test, build, ci, chore, style, meta, license) with clear subject line rules and footer patterns for issue references \n Includes Co-Authored-By attribution for AI-generated changes and handles breaking changes with expli

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