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Found 2,194 Skills
Technical-oriented stock analysis skill used by Sister Zheng. Offers comprehensive technical analysis covering candlestick patterns, moving average system, MACD, RSI, Bollinger Bands, KDJ, chip distribution, and momentum analysis (volume-price momentum, capital flow, ROC/MTM indicators). Keywords: technical analysis, candlestick, moving average, MACD, RSI, stock, trend, breakout, pullback, momentum analysis, capital flow, Sister Zheng's Market Watch.
Comprehensive Test Driven Development guide for engineering subagents with multi-framework support, coverage analysis, and intelligent test generation
Analyze how to extend and leverage existing assets. Use for growth strategy and resource optimization.
Monitor positions in real-time, configure Take-Profit/Stop-Loss orders, and manage risk with leverage settings
Analyzes changed files and improves unit test coverage using project-specific testing conventions from .trellis/spec/ unit-test specs. Determines test scope (unit vs integration vs regression), adds or updates tests following existing patterns, and runs validation. Use when code changes need test coverage, after implementing a feature, after fixing a bug, or when test gaps are identified.
Account assignment by revenue potential, geography, relationship. Workload balancing, TAM/SAM calculation, coverage models.
Build Next.js web applications with Google Gemini Nano Banana image generation APIs (gemini-2.5-flash-image, gemini-3-pro-image-preview). Use when creating image generators, editors, galleries, or any app integrating conversational image generation with server actions, API routes, and storage. Use for "image generation app", "nano banana", "text to image", "AI image generator", or "gemini image". Do NOT use for non-Gemini models, Python/Go backends, model fine-tuning, or image classification/input tasks.
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.
Use when migrating from AWS S3, Google Cloud Storage, or Azure Blob to Tigris — shadow buckets, bulk copy, SDK endpoint swap, zero-downtime migration
Generate and run comprehensive test suites — unit tests, integration tests with real services (testcontainers/docker-compose), and Playwright E2E tests. Analyzes coverage gaps, spawns parallel test-generator agents per tier, runs tests, and heals failures (max 3 iterations). Use when generating tests for existing code, improving coverage after implementation, or creating a full test suite from scratch. Chains naturally after /ork:implement. Do NOT use for verifying/grading existing tests (use /ork:verify) or running tests without generation (use npm test directly).
Local-first architecture decision framework for web applications. Covers when to go local-first vs server-based vs hybrid, sync engine selection (ElectricSQL, Zero, PowerSync, Replicache, LiveStore, Triplit), client-side storage options (IndexedDB, OPFS, SQLite WASM, PGlite), and conflict resolution strategies (LWW, CRDTs, server-wins, field-level merge). Use when deciding whether to adopt local-first architecture, choosing a sync engine, selecting client storage, or designing conflict resolution strategies.
Apply when deciding, designing, or implementing data fetching with FastStore GraphQL files in src/graphql/ or src/fragments/, or configuring faststore.config. Covers API extensions, GraphQL fragments, server-side and client-side data fetching, and custom resolver patterns. Use for integrating custom data sources or extending the FastStore GraphQL schema.