tanstack-ranger
Provides headless utilities for implementing range and multi-range sliders. Supports TS/JS, React, Vue, Solid, Svelte, and Angular.
Your agent can do more. Find the skill that makes it happen.
Find your next superpower If you are an agent, refer to our llms.txt for full access.Provides headless utilities for implementing range and multi-range sliders. Supports TS/JS, React, Vue, Solid, Svelte, and Angular.
Downloads platform videos with options for format and quality. Supports obtaining video files for offline viewing, editing, and archival use.
Covers vector embeddings with HNSW indexing, sql.js persistence, hyperbolic support, and agentic-flow integration. Supports semantic search, pattern matching, similarity queries, and knowledge retrieval.
Covers Generative Engine Optimization for AI search engines, including ChatGPT, Claude, and Perplexity.
Builds Alpine.js components and JavaScript interactions for Magento 2 Hyvä themes. Provides patterns compatible with Content Security Policy for interactive templates and x-data components.
Measures Jetson LLM and VLM serving performance across vLLM, llama.cpp, and Ollama. Produces structured JSON output.
Reviews local working-tree changes using Git diffs and untracked files. Returns actionable improvement suggestions before committing or pushing.
Connects next-safe-action to forms using React Hook Form adapters or native HTML forms. Covers action hooks, optimistic form actions, error mapping, bound arguments, and uploads.
Produces detailed test documentation from product requirements or user requests. Covers functional behavior, edge cases, error handling, and state transitions for comprehensive QA planning.
Supports placing, modifying, and canceling orders on NSE, BSE, and MCX through DhanHQ. Covers holdings, positions, market data, option chains with Greeks, funds and margin, instrument IDs, and live WebSocket market or order feeds.
Turns topics, URLs, or supplied text into podcasts. Supports discussion, debate, and dialogue formats.
Add persistent, structured long-term memory to AI agents using Maximem Synap. Use this skill whenever the user is building, debugging, or evaluating an AI agent and mentions any of: "memory", "long-term memory", "persistent memory", "agent memory", "remember across sessions", "context window", "agent forgets", "user preferences", "personalization", "RAG over conversations", "multi-tenant memory", …
Skills give your agent reusable instructions for a specific job. Pick one, read what it does, and bring it into your workflow.
A name only tells half the story. Search the full description and instructions to find the right fit.
Read the skill, visit its source, and see exactly what you’re adding to your agent.
Copy the install command from a skill page and run it in your project.
npx skillycli add owner/repo --skill name