Loading...
Loading...
Found 22 Skills
Superdesign is a design agent specialized in frontend UI/UX design. Use this skill before implementing any UI that requires design thinking. Common commands: superdesign create-project --title "X" (setup project), superdesign create-design-draft --project-id <id> --title "Current UI" -p "Faithfully reproduce..." --context-file src/Component.tsx (faithful reproduction), superdesign iterate-design-draft --draft-id <id> -p "dark theme" -p "minimal" --mode branch --context-file src/Component.tsx (design variations), superdesign execute-flow-pages --draft-id <id> --pages '[...]' --context-file src/Component.tsx (extend to more pages). Supports line ranges: --context-file path:startLine:endLine
Generate LLM skills from documentation, codebases, and GitHub repositories
Comprehensive technical research by combining multiple intelligence sources — Grok (X/Twitter developer discussions via Playwright), DeepWiki (AI-powered GitHub repository analysis), and WebSearch. Dispatches parallel subagents for each source and synthesizes findings into a unified report. This skill should be used when evaluating technologies, comparing libraries/frameworks, researching GitHub repos, gauging developer sentiment, or investigating technical architecture decisions. Trigger phrases include "tech research", "research this technology", "技术调研", "调研一下", "compare libraries", "evaluate framework", "investigate repo".
Generate DeepWiki-style repository analysis reports. Deeply analyze codebase architecture, module dependencies, and core systems, outputting structured documentation with Mermaid diagrams, source file references, and tables.
Analyse GitHub repository activity including issues, PRs, contributors, and engagement
Analyze the source code of GitHub open-source repositories and generate structured analysis reports. Supports generating reports such as project architecture overview, code quality analysis, core module description, etc., and optional synchronization to Notion.
Plan work before coding: do repo research, analyze options/risks, and ask clarifying questions before proposing an implementation plan. Use when the user asks for a plan, design/approach, scope breakdown, or implementation steps.
Comprehensive security and privacy evaluation system for MCP (Model Context Protocol) servers. Use when users provide GitHub URLs to MCP servers and request security assessment, privacy evaluation, or ask "is this MCP safe to use." Evaluates security vulnerabilities, privacy risks, code quality, community feedback, and provides actionable recommendations with risk scoring.
Detect repository stack for LaunchDarkly SDK onboarding: languages, frameworks, package managers, monorepo targets, entrypoints, existing LD usage. Nested under sdk-install; next is plan.
GitHub CLI for remote repository analysis, file fetching, codebase comparison, and discovering trending code/repos. Use when analyzing repos without cloning, comparing codebases, or searching for popular GitHub projects.
Upstream codebase exploration for open source contribution. Outputs contribution guidelines, PR patterns, and maintainer expectations. Triggers: "pr research", "upstream research", "contribution research", "explore upstream repo".
Analyze existing repositories, maintain structure, setup guardrails and best practices