project-guidelines-example
A project-specific template skill providing standardized architecture, file structures, coding patterns, and deployment workflows for production-grade AI applications.
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487 skills found
A project-specific template skill providing standardized architecture, file structures, coding patterns, and deployment workflows for production-grade AI applications.
Perform automated, rule-based performance and reliability audits for React and Next.js applications, covering bundle size, waterfalls, rendering, and data fetching.
An advanced development guide for Claude Code, covering REPL environments, MCP integration, development workflows, and best practices for AI-assisted coding.
The foundational skill for the Superpowers methodology. Ensures agents correctly identify and invoke required development skills before starting any task or conversation.
Supermemory is a long-term memory infrastructure for AI agents, enabling persistent context, user profiles, and semantic RAG across multi-modal knowledge bases.
Comprehensive guide for scaffold, configure, and structure gitagent projects. Manage agent.yaml, SOUL.md, RULES.md, and project directory layouts.
Generates UI components, hero sections, and feedback forms with integrated accessibility checks, leveraging specialized design references and quality gates.
Automates the integration of Python and TypeScript type hints to enhance IDE intellisense, error detection, and AI code comprehension.
An autonomous AI-powered task management system with Kanban boards, git worktree isolation, and pluggable executors like Claude Code, Gemini, and OpenAI Codex.
Spring Security best practices for Spring Boot: Auth, validation, CSRF protection, secret management, rate limiting, and dependency security.
Resets workflow artifacts in the .otto/ directory. Safely removes tasks, specs, and browser sessions for a clean start.
Generate structured, machine-readable notes for papers in a core research set to enable reliable synthesis and evidence-backed writing.