Prompt Engineering
CheckedCrafts optimized prompts for LLMs to elicit desired responses, boosting AI performance and accuracy for your projects.
Install on your platform
Showing Claude Code. One command installs this skill into any of the agents below.
- 1
Run this in your project
terminal$ npx skills add itsmostafa/llm-engineering-skills --skill prompt-engineering -a claude-code Uses the open-source
skillsCLI and needs Node.js. Add-gto install it for your user instead of this project.
What we know about this skill
Publisher
itsmostafa
Taken from the source listing. We haven't verified who controls this account.
Install target
Live repository
Not pinned. Installing fetches whatever the repository holds at the time you run the command.
Automated safety checks
This skill passed all 6 checks. We read its files at one commit and looked for the things that make a skill dangerous to run — not for whether it works.
Declares what it does: passed
SKILL.md parses and declares a name and a description.
SKILL.md exists, its frontmatter parses, and it declares a name and a description.
No undeclared network calls: passed
Makes no network calls.
Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.
No obfuscated payloads: passed
No encoded or obfuscated payloads.
No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.
No credential access: passed
Reads no keys, tokens, keychains or credential files.
Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.
No pipe-to-shell installers: passed
No pipe-to-shell or download-and-run installers.
No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.
Pinned to a commit: passed
Scanned itsmostafa/llm-engineering-skills at c364a15d51.
The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.
- Commit
- c364a15d51
- Scanned
- 1 file, 311 lines
About this skill
What it does
This skill enables the AI agent to craft effective prompts for large language models (LLMs). It refines instructions, structures requests, and optimizes input to elicit desired responses from LLMs. The tool aims to improve the quality, relevance, and accuracy of generated content by guiding the LLM's behavior through carefully engineered prompts.
When to use it
- Generating marketing copy: Craft a prompt that specifies tone, target audience, and key features for compelling ad text or social media posts.
- Summarizing lengthy documents: Create a prompt instructing the AI to extract key information and condense it into a concise summary.
- Developing creative content: Use prompts to guide the LLM in writing stories, poems, or scripts with specific themes or characters.
- Extracting data from text: Design prompts that instruct the agent to identify and retrieve particular pieces of information from unstructured text sources.
Key capabilities
- Prompt refinement
- Instruction structuring
- Input optimization
- LLM behavior guidance
Example prompts
- "Write a short story about a cat detective, focusing on humor and suspense."
- "Summarize this article: [paste article content here], highlighting the main arguments and conclusions."
- “Extract all email addresses from this text: [paste text here]”
Tips & gotchas
The effectiveness of this skill depends heavily on the clarity and specificity of the prompts provided. Experimentation with different prompt structures and keywords is often necessary to achieve optimal results.