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Found 2,728 Skills
Testing patterns with Bun test runner, coverage thresholds, mocking, and CI/CD integration. Use when writing tests, organizing test files, or setting up quality gates.
Use when writing, fixing, editing, or refactoring Python tests. Enforces Clean Code principles—fast tests, boundary coverage, one assert per test.
Standardize authentication and persistent memory storage using Supabase PostgreSQL. Use when building SaaS apps that need user auth, cross-device sync, and conversation history.
Manage CloudSync Master WordPress plugin via WP-CLI. This skill should be used when configuring, testing, monitoring, or operating CloudSync Master (media offloading to cloud storage). Covers account setup for S3/R2/GCS/DigitalOcean/Backblaze/Wasabi/Vultr/Linode, plugin settings, queue management, object management, license activation, migration from competitors, and wp-config.php configuration export. Use when the user mentions CloudSync Master, cloud media offloading, wp cloudsync commands, or needs to set up WordPress media on cloud storage.
Process use when you need to archive historical database records to reduce primary database size. This skill automates moving old data to archive tables or cold storage (S3, Azure Blob, GCS). Trigger with phrases like "archive old database records", "implement data retention policy", "move historical data to cold storage", or "reduce database size with archival".
Store and serve files via Storage; set visibility, generate URLs, and handle streaming safely
Enables interaction with Google NotebookLM for advanced RAG (Retrieval-Augmented Generation) capabilities via the notebooklm-mcp-cli tool. Use when querying project documentation stored in NotebookLM, managing research notebooks and sources, retrieving AI-synthesized information, generating audio podcasts or reports from notebooks, or performing contextual queries against curated knowledge bases. Triggers on "notebooklm", "nlm", "notebook query", "research notebook", "query documentation in notebooklm".
Use when cognee is a Python AI memory engine that transforms documents into knowledge graphs with vector and graph storage for semantic search and reasoning. Use this skill when writing code that calls cognee's Python API (add, cognify, search, memify, config, datasets, prune, session) or integrating cognee-mcp. Covers the full public API, SearchType modes, DataPoint custom models, pipeline tasks, and configuration for LLM/embedding/vector/graph providers. Do NOT use for general knowledge graph theory or unrelated Python libraries.
Integrate react-native-reanimated-dnd for drag-and-drop, sortable lists, sortable grids, and drop zones in React Native apps. Covers components, hooks, and all configuration options.
Reviews the feature you just built and adds missing test coverage. Focuses on behavior that matters — not coverage metrics. Use after completing a feature to identify untested code paths, edge cases, and risk areas.
Persistent key-value memory storage for the agent. Store, recall, and forget information across sessions. Use when you need to remember facts, preferences, or context between conversations.
This skill should be used when a team wants to create or refine the QA standards document — for example "create the QA steering doc", "document our test strategy", "write the QA standards", "document our definition of done", "set up the QA guidelines", or "update the QA doc". Generates docs/steering/QA.md as a living document capturing test strategy, coverage thresholds, test patterns, definition of done, and environments. Generated once and refined — not regenerated from scratch.