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Found 1,551 Skills
Draft and update bug issues using a bug-focused structure, repository-valid labels, and explicit publish confirmation before GitHub mutation.
Prevents generic AI/GPT UI patterns when generating frontend code. Use this skill whenever generating HTML, CSS, React, Vue, Svelte, or any frontend UI code to enforce clean, human-designed aesthetics inspired by Linear, Raycast, Stripe, and GitHub instead of typical AI-generated UI.
Comprehensive news aggregator that fetches, filters and conducts in-depth analysis of real-time content from 8 major sources: Hacker News, GitHub Trending, Product Hunt, 36Kr, Tencent News, Wallstreetcn, V2EX and Weibo Hot Search. Suitable for scenarios including "daily scan", "tech news briefing", "finance update" and in-depth interpretation of hot topics.
Explore a codebase for architectural friction, discover refactoring opportunities, and propose module-deepening refactors as GitHub issue RFCs. Uses friction-driven exploration and parallel sub-agents to design multiple interface alternatives. Use when user wants to improve architecture, find refactoring opportunities, consolidate coupled modules, reduce complexity, make code more testable, or review codebase health.
Use the Helmor CLI to remote-control Helmor from the terminal. Use when the user asks to inspect Helmor data/settings, manage repositories/workspaces/sessions/files, send prompts to agents, list models, use GitHub integration, inspect scripts, migrate from Conductor, run Helmor as an MCP server, generate shell completions, quit a running app, check/install/update the Helmor CLI beta, install/update Helmor skills through the beta app flow, or needs the Helmor command reference.
Generate user demand research reports from real user feedback. Scrape and analyze feature requests, complaints, and questions from Reddit, X, and GitHub.
Review secret detection patterns and scanning workflows. Use for identifying high-signal secrets like AWS keys, GitHub tokens, and DB passwords. Use proactively during all security audits to scan code and history. Examples: - user: "Scan for secrets in this repo" → run high-signal rg patterns and gitleaks - user: "Check for AWS keys" → scan for AKIA patterns and server-side exposure - user: "Audit my .env files" → ensure secrets are gitignored and not committed - user: "Verify secret redaction" → check that reported secrets follow 4+4 format - user: "Scan build artifacts for keys" → search dist/ and build/ for secret patterns
TypeScript authentication framework (framework-agnostic). Features: email/password, OAuth (Google, GitHub, Discord), 2FA (TOTP, SMS), passkeys/WebAuthn, session management, RBAC, rate limiting, database adapters. Actions: implement, configure, secure authentication systems. Keywords: Better Auth, authentication, authorization, OAuth, email/password, 2FA, MFA, TOTP, passkeys, WebAuthn, session management, RBAC, rate limiting, database adapter, TypeScript auth, social login, Google auth, GitHub auth, Discord auth, email verification, password reset. Use when: implementing TypeScript auth, adding OAuth providers, setting up 2FA/MFA, managing sessions, configuring RBAC, building secure auth systems.
Scaffolds new projects with README.md, AGENTS.md, and CI/CD (GitLab CI, GitHub Actions). Handles project type (generic / Flask backend / React frontend / Taro miniapp), tech stack, coding standards, quality level, and SDD (OpenSpec, SpecKit, GSD). All init flows (Flask, React, Taro) and conventions (backend-python-cicd, frontend-codegen, flask-backend-codegen, QA/testing, agent-roles/subagents) are built-in; no separate skills. Docs default to Chinese. Use when creating a project, initializing a repo, or setting up CI/CD/SDD.
Automated content production pipeline: hot topic aggregation from 10+ platforms (Bilibili, GitHub, Reddit, YouTube, Weibo, Zhihu, etc.), AI-powered topic scoring, multi-platform content generation (Xiaohongshu, WeChat, Twitter), draft review, and auto-publishing. Use when: user wants daily content pipeline, hot topic collection, content generation, article publishing, or content factory automation.
Manage AI coding agents on a visual Kanban board. Run parallel agents through a To Do→In Progress→Review→Done flow with automatic git worktree isolation and GitHub PR creation.
Configure the LaunchDarkly hosted MCP server during onboarding. Use when the parent LaunchDarkly onboarding skill reaches Step 4 (MCP). Supports Cursor, Claude Code, Windsurf, GitHub Copilot, and other MCP-compatible agents. OAuth authentication; no API keys for the hosted server.