Anthropic Prompt Engineer
CheckedCrafts highly effective prompts for Anthropic's Claude models to maximize output quality and achieve desired results.
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 zircote/.claude --skill anthropic-prompt-engineer -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
zircote
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 zircote/.claude at 0f0276a9ba.
The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.
- Commit
- 0f0276a9ba
- Scanned
- 6 files, 1,323 lines
About this skill
What it does
This skill enables AI agents to interact with Anthropic's Claude models using optimized prompts. It allows for crafting more effective and nuanced requests, leading to improved response quality and adherence to desired output formats. The skill focuses on leveraging prompt engineering techniques specifically tailored for Claude’s capabilities.
When to use it
- Generating creative content like stories or poems with specific stylistic requirements in Claude.
- Extracting structured data (e.g., JSON) from text using Claude's reasoning abilities.
- Improving the accuracy and relevance of Claude's responses when answering complex questions.
- Creating detailed summaries or translations within Claude, ensuring precision and context preservation.
Key capabilities
- Claude model integration
- Prompt optimization techniques
- Structured data extraction
- Creative content generation
Example prompts
- "Use the following prompt to generate a short story in the style of Edgar Allan Poe: [prompt text]"
- "Extract all entities and their relationships from this document and output them as JSON: [document text]"
- “Summarize this article, focusing on the economic impact. Claude, be concise.”
Tips & gotchas
This skill requires access to an Anthropic Claude API key for proper functionality. Experiment with different prompt structures and phrasing to achieve optimal results from Claude.