Ai development

Master the temperature parameter in Claude to control response creativity and predictability. Learn how to choose the right temperature for different tasks with practical Python examples.

Learn how to systematically improve your AI prompts through a five-step evaluation workflow. This guide covers drafting prompts, creating eval datasets, generating responses, grading outputs, and iterating for better performance—transforming prompt engineering from guesswork into data-driven optimization.

Learn how to build hooks in Claude Code to intercept and control tool calls. Master PreToolUse and PostToolUse hooks, understand tool call data structures, and implement access control for sensitive files.

Master one-shot and multi-shot prompting techniques in Claude. Learn how to use examples to handle edge cases, define output formats, and improve response quality.

Learn how to generate clean structured data like JSON with Claude using assistant message prefilling and stop sequences. Get raw data without explanatory text or markdown formatting.

Learn how to implement response streaming in Claude to improve user experience. Display text chunk by chunk as it's generated instead of waiting for complete responses.

Master advanced skill techniques including metadata fields, tool restrictions, and progressive disclosure. Learn how to organize complex skills across multiple files while keeping context efficient.

When skills don't work as expected, the problem usually falls into a few predictable categories. Learn systematic troubleshooting approaches for skills that don't trigger, load, or execute properly.

Learn how to build personal skills that teach Claude how to handle specific tasks in a consistent, repeatable way. This guide walks through creating a PR description skill from scratch.

Learn how to distribute skills across teams and organizations using repository commits, plugins, and enterprise managed settings. Discover how to configure custom subagents to use skills.