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.
207 skills found
Guidelines for curating high-quality datasets for LLM post-training (SFT/DPO/RLHF), covering data formats, quality filtering, and collection strategies.
Autonomous multi-agent LinkedIn system using LangGraph and Claude Opus 4.5 for trend research, content creation, voice profiling, and analytics-driven optimization.
CLI-only iOS development agent for Swift, SwiftUI, and UIKit. Handles the full lifecycle: build, debug, test, and release without Xcode.
Anthropic Claude AI models for high-performance coding, large-context analysis, and GUI interaction.
A framework for building modular, reusable agent skills. Provides guidelines for structuring SKILL.md, bundled scripts, references, and assets to extend Claude's capabilities.
Secure, isolated cloud sandbox environments for executing AI-generated code, running multi-language scripts, managing file systems, and integrating tools via the E2B MCP gateway.
Fast-reference guide and utility skill for Helm chart development, template syntax, and Kubernetes application deployment.
Convert Figma designs to project-consistent UI code using TemPad Dev MCP for precise markup, styling, and token integration.
Create polished animated terminal demos for pull requests and documentation using asciinema, agg, and svg-term-cli.
Expert framework for designing agent-facing tools, optimizing tool descriptions, enforcing contract-based APIs, and implementing architectural reduction for reliable AI agent tool selection.
An autonomous AI agent loop that executes Claude Code repeatedly to build features from structured PRDs until completion.
Multi-perspective AI consultation for technical architecture, complex refactoring, and structured debugging.