Summary
This is for when you need LLM outputs to be consistent and reliable, not just occasionally good. It covers the essentials: structured system prompts with clear sections, few-shot examples that actually help, chain-of-thought for complex reasoning, and output format specification. The sharp edges table is honest about common mistakes like vague instructions and skipping negative constraints. What I appreciate is the emphasis on systematic evaluation over gut feel, which is where most prompt work falls apart. Treats prompts like code that needs testing and iteration, not magic incantations you hope will work.
Install to Claude Code
npx -y skills add davila7/claude-code-templates --skill prompt-engineer --agent claude-codeInstalls into .claude/skills of the current project.
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Plug Mailtrap into your AI workflow and let it handle the email.
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Make coding agent sessions - Searchable, Shareable, Vendor-neutral & Scored.
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SKILL.md
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Featured
belt cli automatically finds the best tools and skills for your agent. image, video, music, tts...
one prompt install →Plug Mailtrap into your AI workflow and let it handle the email.
Connect Mailtrap MCP →Agent, run crypto. Access onchain data & trade routes via 1inch.
Install now →Make coding agent sessions - Searchable, Shareable, Vendor-neutral & Scored.
Try For Free →Your agent targets a perfect 10 Code Health score. Deterministic. Every commit.
Try For Free →Integrate web data into your AI product. One API to scrape website & brand data.
Get API Key Now →
