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Found 6,275 Skills
Production-ready authentication framework for TypeScript with first-class Cloudflare D1 support. Use this skill when building auth systems as a self-hosted alternative to Clerk or Auth.js, particularly for Cloudflare Workers projects. Supports social providers (Google, GitHub, Microsoft, Apple), email/password, magic links, 2FA, passkeys, organizations, and RBAC. Prevents 10+ common authentication errors including session serialization issues, CORS misconfigurations, D1 adapter setup, social provider OAuth flows, and JWT token handling. Keywords: better-auth, authentication, cloudflare d1 auth, self-hosted auth, typescript auth, clerk alternative, auth.js alternative, social login, oauth providers, session management, jwt tokens, 2fa, two-factor, passkeys, webauthn, multi-tenant auth, organizations, teams, rbac, role-based access, google auth, github auth, microsoft auth, apple auth, magic links, email password, better-auth setup, session serialization error, cors auth, d1 adapter
Fetch Jira ticket details from Jira Cloud and prepare for PRD planning. Use when user asks to fetch, load, or work on a Jira issue (e.g., 'Fetch JIRA-123', 'Load issue XYZ-456', 'I'm working on ticket ABC', 'Get details for PROJ-789'). This skill retrieves ticket link, ID, title, and description, then triggers PRD skill to create an implementation plan based on the ticket context.
Proceed with implementation based on the TODO list in Spec.md. Execute review→check→commit after each task is completed.
Use Verify for snapshot testing in .NET. Approve API surfaces, HTTP responses, rendered emails, and serialized outputs. Detect unintended changes through human-reviewed baseline files.
General Bugfix Workflow Knowledge Base, including TDD process, output format specifications, confidence scoring standards, and general best practices. Applicable to all tech stacks (backend/frontend/e2e).
Industry-standard gradient boosting libraries for tabular data and structured datasets. XGBoost and LightGBM excel at classification and regression tasks on tables, CSVs, and databases. Use when working with tabular machine learning, gradient boosting trees, Kaggle competitions, feature importance analysis, hyperparameter tuning, or when you need state-of-the-art performance on structured data.
[Design & Content] Create a design based on video
Coding patterns extracted from OpenAI Codex Rust codebase - a production CLI/agent system with strict error handling, async patterns, and workspace organization
Automatically detect and suggest appropriate MCP tools (context7, grep_app, web_search) based on user queries. This applies when queries contain documentation keywords (including English terms like how to use, docs, API, guide, tutorial and Chinese terms like 如何使用, 文档, 教程); code search keywords (including English terms like example, implementation, source code, github and Chinese terms like 例子, 示例, 实现, 源码); or latest information/bug fixing keywords (including English terms like latest, 2025, 2026, new, update, fix bug, error and Chinese terms like 最新, 更新, 修复 bug, 报错).
Run OWASP ZAP for Dynamic Application Security Testing. Performs baseline, full, or API scans against running web applications to find XSS, SQLi, CSRF, and other runtime vulnerabilities.
Senior SaaS CFO / Financial Analyst (15+ years) specialized in financial modeling, projections, and exit strategy for bootstrapped and VC-backed SaaS companies. Activate when user needs: (1) Revenue projections (1-5 years), (2) Exit valuation and multiples, (3) Unit economics analysis (CAC, LTV, payback), (4) Scenario modeling (conservative/base/optimistic), (5) Fundraising narratives with financial backing, (6) M&A due diligence financials, (7) SaaS metrics benchmarking, (8) Cohort analysis and churn modeling. Triggers: "proyecciones", "projections", "exit", "valuation", "ARR", "MRR", "multiples", "revenue forecast", "financial model", "exit strategy", "CAC", "LTV", "unit economics", "churn", "fundraising", "M&A", "acquisition", "5 year plan".
Search across company knowledge bases (Confluence, Jira, internal docs) to find and explain internal concepts, processes, and technical details. When Claude needs to: (1) Find or search for information about systems, terminology, processes, deployment, authentication, infrastructure, architecture, or technical concepts, (2) Search internal documentation, knowledge base, company docs, or our docs, (3) Explain what something is, how it works, or look up information, or (4) Synthesize information from multiple sources. Searches in parallel and provides cited answers.