productivity▌
6,487 indexed skills · max 10 per page
amazon-working-backwards
robdefeo/agent-skills · Productivity
Guide ideas through Amazon's Working Backwards process, from 5 Questions to PR-FAQ. \n \n Supports six entry points: drafting 5Q answers from a rough idea, refining existing answers, verifying answers with probing questions, generating a PR-FAQ document, reviewing an existing PR-FAQ, or clarifying any process element \n The 5 Questions phase forces clarity on customer, problem, benefit, validation, and experience before any document writing \n The PR-FAQ phase transforms solid 5Q answers into a
bmad-gds
supercent-io/skills-template · Productivity
Structured game development workflow routing projects through five phases with six specialized agents. \n \n Covers five workflow phases: Pre-production (brainstorming, brief), Design (GDD, narrative), Technical (architecture, test framework), Production (sprints, stories, code review), and Game Testing (automation, E2E, performance, playtesting) \n Supports Unity, Unreal Engine, Godot, and custom engines with phase-specific commands for each stage \n Includes six specialized agents (designer, a
vite
antfu/skills · Productivity
Next-generation frontend build tool with native ESM dev server, HMR, and Rolldown-powered production builds. \n \n Fast dev server using native ES modules and hot module replacement; production builds optimized with Rolldown bundler and Oxc transformer \n Configuration via vite.config.ts with support for conditional configs, environment variables, and plugin API for extending build behavior \n Built-in features include import.meta.glob for dynamic imports, asset queries ( ?raw , ?url ), and HMR
spring-boot-application
aj-geddes/useful-ai-prompts · Productivity
Develop production-ready Spring Boot applications with proper annotation-based configuration, dependency injection, REST controllers, JPA data persistence, service layers, and security implementation following Spring conventions.
humanize
humanizerai/agent-skills · Productivity
Transform AI-generated text into natural writing that bypasses AI detectors. \n \n Three intensity levels (light, medium, aggressive) adjust how extensively the text is rewritten, with credit usage based on word count \n Provides before/after AI detection scores to show improvement against detectors like GPTZero, Turnitin, and Originality.ai \n Requires HumanizerAI API key and consumes 1 credit per word processed; detection scoring is free \n
semgrep-rule-creator
trailofbits/skills · Productivity
Custom Semgrep rule creation with test-driven validation and AST-guided pattern development. \n \n Guides iterative rule authoring: analyze problem, write tests first, inspect AST structure, build patterns, validate with semgrep --test , then optimize \n Prioritizes taint mode for data flow vulnerabilities (sources to sinks) over pattern matching to reduce false positives; supports switching between approaches as needed \n Enforces strict testing discipline: 100% test pass required, safe cases m
trading-analysis
gracefullight/stock-checker · Productivity
Professional investment reports combining real-time market data, technical indicators, and AI-powered analysis. \n \n Calculates 10+ technical indicators (RSI, MACD, Moving Averages, Bollinger Bands) and generates 4 types of high-resolution charts (price, indicators, volatility, dashboard) \n Accepts stock ticker symbols with optional client name and custom report title; processes multiple symbols in a single request \n Outputs institutional-grade Markdown reports with executive summary, technic
seaborn
davila7/claude-code-templates · Productivity
Seaborn is a Python visualization library for creating publication-quality statistical graphics. Use this skill for dataset-oriented plotting, multivariate analysis, automatic statistical estimation, and complex multi-panel figures with minimal code.
framer-motion-best-practices
pproenca/dot-skills · Productivity
Comprehensive performance optimization guide for Framer Motion animations in React applications. Contains 42 rules across 9 categories, prioritized by impact to guide automated refactoring and code generation.
beads
steveyegge/beads · Productivity
Dolt-backed issue tracker for multi-session work with dependencies and conversation compaction survival. \n \n Persists task context across conversation compaction and multiple sessions using a local Dolt database, with atomic claim-and-start workflow to prevent race conditions \n Tracks task dependencies, blockers, and discovery relationships; use bd ready to surface unblocked work and bd show <id> --long to recover full context after compaction \n Essential commands: bd create , bd ready