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Found 7,063 Skills
Automatically generate complete Python project deliverables from natural language requirements through collaboration among four virtual roles: autonomous learning, PM, architect, and senior programmer. Supports feature expansion, project refactoring, and skill invocation. Also supports web search, knowledge integration, version control, Python 3.11+ features, UV package management, loguru logging, and project size adaptation (folder/single file). It provides support for database design and implementation (SQLite, PostgreSQL, MongoDB, vector databases, graph databases), data layer abstraction (Repository pattern), and database switching. Suitable for scenarios such as software requirement clarification, rapid prototyping, project initialization, feature expansion, and code refactoring.
Secures webhook receivers with signature verification, retry handling, deduplication, idempotency keys, and error responses. Provides verification code, dedupe storage strategy, runbook for incidents. Use when implementing "webhooks", "webhook security", "event receivers", or "third-party integrations".
Execute apply production-ready Supabase SDK patterns for TypeScript and Python. Use when implementing Supabase integrations, refactoring SDK usage, or establishing team coding standards for Supabase. Trigger with phrases like "supabase SDK patterns", "supabase best practices", "supabase code patterns", "idiomatic supabase".
Expert hybrid cloud architect specializing in complex multi-cloud solutions across AWS/Azure/GCP and private clouds (OpenStack/VMware). Masters hybrid connectivity, workload placement optimization, edge computing, and cross-cloud automation. Handles compliance, cost optimization, disaster recovery, and migration strategies. Use PROACTIVELY for hybrid architecture, multi-cloud strategy, or complex infrastructure integration.
Grey Haven's comprehensive testing strategy - Vitest unit/integration/e2e for TypeScript, pytest markers for Python, >80% coverage requirement, fixture patterns, and Doppler for test environments. Use when writing tests, setting up test infrastructure, running tests, debugging test failures, improving coverage, configuring CI/CD, or when user mentions 'test', 'testing', 'pytest', 'vitest', 'coverage', 'TDD', 'test-driven development', 'unit test', 'integration test', 'e2e', 'end-to-end', 'test fixtures', 'mocking', 'test setup', 'CI testing'.
Azure OpenAI Service 2025 models including GPT-5, GPT-4.1, reasoning models, and Azure AI Foundry integration
Guide through service/tool configuration step-by-step while maintaining clean documentation of the successful setup path. Captures screenshots, filters failed attempts, and produces a polished README. Use when setting up integrations, configuring services, or documenting setup processes. Triggers on "help me configure", "set up integration", "guided setup".
Self-hosted no-code automation platform with visual flow builder, type-safe custom pieces, API integrations, and event-driven triggers
Install and configure Juicebox SDK/CLI authentication. Use when setting up a new Juicebox integration, configuring API keys, or initializing Juicebox in your project. Trigger with phrases like "install juicebox", "setup juicebox", "juicebox auth", "configure juicebox API key".
Best practices for building CLI applications across languages. Covers CLI design principles (Unix philosophy, command structure, subcommands vs flags), argument parsing (required/optional args, flags, environment variables, config files, precedence), user interface (help text, version info, progress indicators, color output, interactive prompts), output formatting (human-readable vs machine-readable JSON/YAML, exit codes), error handling (clear messages, suggestions, debug mode), cross-platform considerations (paths, line endings, terminal capabilities), testing strategies (integration tests, output verification, exit codes), documentation (README, man pages, built-in help), and language-specific libraries. Activate when working with CLI applications, command-line tools, argument parsing, CLI utilities, argument handling, commands, subcommands, CLI frameworks, or building command-line interfaces.
Choose and implement Clay validated architecture blueprints for different scales. Use when designing new Clay integrations, choosing between monolith/service/microservice architectures, or planning migration paths for Clay applications. Trigger with phrases like "clay architecture", "clay blueprint", "how to structure clay", "clay project layout", "clay microservice".
Diagnose and fix common Evernote API errors. Use when encountering Evernote API exceptions, debugging failures, or troubleshooting integration issues. Trigger with phrases like "evernote error", "evernote exception", "fix evernote issue", "debug evernote", "evernote troubleshooting".