Discover reusable agent skills, browse implementation details, and find the right skill for your workflow.
233 skills found
A framework for managing the end-to-end LLM project lifecycle, from evaluating task-model fit and pipeline architecture design to implementing structured output parsing and agent-assisted development.
Meta-skill for generating publication-ready scientific figures, multi-panel layouts, and journal-compliant visualizations using Python's matplotlib, seaborn, and plotly libraries.
Stress-test existing product feature ideas by identifying risky assumptions across Value, Usability, Viability, and Feasibility using a multi-perspective devil's advocate framework.
Create a hypothesis-based proto-persona using research, market signals, and team insights to align product teams before full validation.
Automated text-to-image rendering engine for social media posts, article covers, and long-form threads. Supports X-style, WeChat, and poster templates with high-precision text formatting and highlights.
Build RAG systems to ground LLMs in proprietary data. Includes vector database integration, embedding strategies, hybrid search, and advanced retrieval patterns for FastAPI backends.
Design world-class PowerPoint presentations with professional branding, consistent typography, and sophisticated animations. Ideal for pitches, keynotes, and business reports.
Convert markdown PRDs into structured prd.json files for the Ralph autonomous AI agent system to enable repeatable, context-aware software development.
Manage automatic model routing for Higress AI Gateway via CLI. Configure triggers for intelligent model selection based on request content.
Generate realistic virtual product try-on visualizations to help customers evaluate fit, drape, and scale before purchasing.
Analyze local system hardware (RAM, CPU, GPU/VRAM) to receive expert recommendations for optimized local LLM models, quantization settings, and performance estimates.
Transit Least Squares (TLS) algorithm for detecting exoplanet transits in light curve data, offering higher sensitivity than Lomb-Scargle for transit-shaped signals.