training-data-curation
Guidelines for curating high-quality datasets for LLM post-training (SFT/DPO/RLHF), covering data formats, quality filtering, and collection strategies.
Discover reusable agent skills, browse implementation details, and find the right skill for your workflow.
204 skills found
Guidelines for curating high-quality datasets for LLM post-training (SFT/DPO/RLHF), covering data formats, quality filtering, and collection strategies.
Autonomous research specialist for verified information gathering, source evaluation, and structured synthesis.
An Obsidian vault curator for identifying stub notes, detecting duplicates, fixing outdated information, and improving documentation quality in both English and Korean.
A comprehensive financial modeling suite for investment analysis, featuring DCF valuation, sensitivity testing, Monte Carlo simulations, and scenario planning.
Manage, search, and extract technical insights from a local paper database. Ideal for developers implementing academic research, verifying code against math, and grounding coding agents in scientific papers.
Structured, template-driven workflow for end-to-end feature development including coding, automated testing, verification, and session-based improvement.
An AI-powered skill that automatically retrieves relevant project context from your RAG knowledge base for complex coding tasks.
A systematic workflow to instrument, evaluate, and monitor LLM applications using TruLens, supporting frameworks like LangChain, LangGraph, and LlamaIndex.
Analyze GA4 and GSC performance data with automated benchmarks, status indicators, and actionable content optimization insights.
Build, optimize, and maintain production-ready backend systems using Node.js, Python, Go, and Rust. Includes API design, database management, security, and DevOps best practices.
Read the full text content of a specific note from an Obsidian knowledge base or vault.
Talent Scout is an AI-powered Apify Actor for automated candidate sourcing. It scrapes LinkedIn, GitHub, and other platforms, then uses LLMs to rank and evaluate developer profiles against job requirements.