dod
Definition of Done (DoD) verification workflow that triggers automatically upon implementation completion to ensure quality, document evidence, and standardize reporting.
Discover reusable agent skills, browse implementation details, and find the right skill for your workflow.
494 skills found
Definition of Done (DoD) verification workflow that triggers automatically upon implementation completion to ensure quality, document evidence, and standardize reporting.
AI-powered generator for viral XiaoHongShu posts, including titles, captions, hashtags, cover image prompts, and posting strategies.
6-phase read-only Python analysis workflow that identifies design principle violations, code smells, and modernization opportunities based on specific project types (POC to Open Source).
Expert advisor for implementing Anthropic's structured outputs. Choose between JSON mode and strict tool use for guaranteed schema compliance and validated agentic workflows.
AI-driven web testability assessment using 10 core principles. Evaluates observability, controllability, and stability via Playwright and Vibium to identify testing bottlenecks and improve quality readiness.
Comprehensive guide for scaffold, configure, and structure gitagent projects. Manage agent.yaml, SOUL.md, RULES.md, and project directory layouts.
Optimize agent performance and token usage through advanced context compression, structured summarization, and task-oriented state management for long-running sessions.
A professional workflow and component library for industrial-grade UI design using Pencil MCP, featuring standardized tokens for color, typography, spacing, and shadows.
Guided statistical analysis with test selection, assumption checking, power analysis, and APA-formatted reporting for academic and experimental research.
Expert UI/UX design assistant for React & Next.js. Provides visual critiques, design system architecture, and Tailwind CSS/shadcn/ui implementation guidance for production-grade web applications.
Integrates browser-native Proofreader API into web applications for AI-powered text correction, grammar checking, and language support with managed model lifecycle.
Monitor Runwall security posture, enabled guardrails, and recent audit logs for Claude Code, Codex, and MCP-based development environments.