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Found 530 Skills
Control interactive terminal sessions via tmux. Use when tasks need persistent REPLs, parallel CLI agents, or any process requiring a TTY that simple shell execution cannot handle.
Unified testing skill — TDD workflow, unit/integration patterns, E2E/Playwright strategies. Replaces tdd-workflow + testing-patterns + webapp-testing.
Resolve all PR review comments (human and bot) on current PR. Fetches unanswered comments, evaluates each one, fixes real issues, dismisses false positives, and replies to every comment with the outcome.
Use Electric with Drizzle ORM or Prisma for the write path. Covers getting pg_current_xact_id() from ORM transactions using Drizzle tx.execute(sql) and Prisma $queryRaw, running migrations that preserve REPLICA IDENTITY FULL, and schema management patterns compatible with Electric shapes. Load when using Drizzle or Prisma alongside Electric for writes.
Developer machine tool for replicating plugin source code between local project repositories. Use when you want to push plugin updates from agent-plugins-skills to a consumer project, or pull the latest plugins into a consumer project from this central repo. Works with explicit --source and --dest paths; supports additive-update (default), --clean (also removes deleted files), --link (symlink), and --dry-run modes.
Master core refactoring operations: Extract Method, Extract Class, Replace Conditional with Polymorphism, Introduce Variable, Simplify Conditionals, Move Method, and Rename. Organized by operation type with before/after examples. Use when refactoring code structure, improving clarity, reducing duplication, or dealing with complex conditionals.
X/Twitter messaging management via API. Read tweets, post tweets, reply, send DMs, search, and view analytics. Use when the user wants to interact with X/Twitter: (1) posting or scheduling tweets, (2) reading timeline/mentions/DMs, (3) replying to tweets, (4) searching tweets/users/hashtags, (5) checking engagement analytics. Requires Twitter API credentials (API key, API secret, access token, access secret) or Bearer token.
Content caster (鑄). Converts content into PNG visuals. There are six available templates: -l (default) long reading card, -i infographic, -m multi-card reading cards (1080x1440), -v visual sketchnote, -c comic (black and white manga style), -w whiteboard (marker-style board layout). Output files are saved to ~/Downloads/. This skill is triggered when the user mentions terms such as '鑄', 'cast', '做成圖', '做成卡片', '做成資訊圖', '做成海報', '視覺筆記', 'sketchnote', '漫畫', 'comic', 'manga', '白板', 'whiteboard'. It replaces the former ljg-cards and ljg-infograph skills.
Privacy-by-design analytics setup for clients operating under Uganda's Data Protection and Privacy Act 2019, Kenya's Data Protection Act 2019, and international frameworks (GDPR, CCPA). Covers cookie consent implementation, GA4 privacy configuration, data minimisation, and WhatsApp data governance. Invoke when setting up GA4 for a new client, configuring cookie consent banners, advising on analytics data governance, or when a client asks about data protection compliance for their digital channels. Does not replace legal counsel — flags compliance requirements and provides implementation guidance.
When the user wants to design or optimize replenishment strategies, determine replenishment policies, or improve inventory flow between locations. Also use when the user mentions "inventory replenishment," "stock replenishment," "min-max inventory," "DRP," "auto-replenishment," "vendor-managed inventory," "forward pick replenishment," or "retail store replenishment." For safety stock calculations, see inventory-optimization. For multi-echelon networks, see multi-echelon-inventory.
This skill provides comprehensive guidance for adapting Wan-series video generation models (Wan2.1/Wan2.2) from NVIDIA CUDA to Huawei Ascend NPU. It should be used when performing NPU migration of DiT-based video diffusion models, including device layer adaptation, operator replacement, distributed parallelism refactoring, attention optimization, VAE parallelization, and model quantization. This skill covers 9 major adaptation domains derived from real-world Wan2.2 CUDA-to-Ascend porting experience.
Use when a GitHub Pull Request needs review-thread reply and resolve handling, findings ingestion, and a mandatory final gate in one PR-scoped session.