prompt-engineering-patterns
Master advanced prompt engineering techniques to maximize LLM performance, reliability, and controllability in production applications.
Discover reusable agent skills, browse implementation details, and find the right skill for your workflow.
199 skills found
Master advanced prompt engineering techniques to maximize LLM performance, reliability, and controllability in production applications.
Autonomous pattern detection and skill recommendation engine that monitors project memory, logs, and task lists to evolve your AI agent's capabilities automatically.
Generates comprehensive API references, user manuals, and architectural system documentation directly from your codebase and technical specifications.
Automated code maintenance loop using Trunk to perform linting, formatting, and iterative error resolution.
Explains complex concepts using master teaching frameworks like Feynman, Socratic, and Cognitive Load theory to ensure deep, clear understanding.
Self-maintaining skill for OpenCode agents to update documentation, capture learnings, and extend tool/agent capabilities dynamically.
Research agent for Nia: index/search remote codebases, docs, and packages. Optimizes AI context by prioritizing full source indexing over web fetches to reduce hallucinations.
An intelligent generator for Claude Code Skills that automates the creation of structured prompts, YAML frontmatter, and supporting file architectures.
Pragmatic AI-assisted coding standards focused on clean code, simplicity, and maintainability. Enforces best practices like SRP, DRY, and KISS to prevent over-engineering.
Automated LSP detection, installation, and configuration for intelligent code analysis, navigation, and diagnostics.
An automated meta-learning skill that improves agent workflows by capturing patterns, failures, and shortcuts after each task execution.
Automate GitLab repository management with this API-based tool. Perform file operations, branch management, and project tracking directly through your AI agent.