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Prompt Engineering · Entelligentsia

skill

Use when prompts are ad-hoc strings scattered through code, hard to test, version, or maintain. Apply when building any LLM-powered feature to ensure prompts are treated as first-class engineering artifacts — versioned, tested, composable, and separated from application logic. Covers prompt structure, template patterns, few-shot design, chain-of-thought, and prompt chaining.

Works with: Claude Code (native)  ·  Cursor, Codex CLI (manual)
native: this artifact type is that client's own format

Install (Claude Code):

cp -r prompt-engineering ~/.claude/skills/

Security audit

Not scanned yet. We audit npm-published capabilities for known advisories, install-time scripts and permission surface; this one has no npm package we can resolve, or has not reached the queue.

Its own instructions

Its SKILL.md says when to use it, says when not to, shows worked examples, covers setup and states a limitation.

Read from the capability’s own SKILL.md. This is not a grade and does not compare to the instruction-depth verdict on an MCP server — a skill has no tools to document, so that rubric does not apply to it.

You searched for one. Check the rest of your stack:

npx tashan-cli doctor

Reads the config already on your machine and names what is dead, deprecated or running code at install time. No account, nothing uploaded.

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Prompt Engineering · Entelligentsia scores 40 today. Pro keeps the series, so you can see whether that is a project getting better or one on its way down — and tells you the day it moves.

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tashan badge for Prompt Engineering · Entelligentsia
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source ↗  ·  skill:Entelligentsia/prompt-engineering

Everything on this page is public evidence and free. What it cannot know is whether you run this — npx tashan-cli doctor reads your own config and names what is wrong in it, also free. tashan Pro tells you the day any of it changes.

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Measured 2026-08-14  ·  scorer s5  ·  how  ·  something wrong here?