Writing For Llms
CheckedCraft prompts and content optimized for large language models to maximize response quality and desired outcomes.
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 technickai/ai-coding-config --skill writing-for-llms -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
technickai
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 technickai/ai-coding-config at 293c4816fd.
The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.
- Commit
- 293c4816fd
- Scanned
- 1 file, 37 lines
About this skill
What it does
This skill helps AI agents generate text that is more effective and aligned with desired outcomes when interacting with Large Language Models (LLMs). It focuses on crafting prompts and instructions that guide LLMs to produce higher quality, more relevant responses. The skill improves prompt clarity and structure for better results from LLM interactions.
When to use it
- Generating marketing copy or product descriptions where a specific tone and style are required.
- Creating detailed instructions for an AI agent performing a complex task involving multiple steps.
- Improving the quality of responses received from a chatbot by refining its prompts.
- Developing training data for LLMs, ensuring consistent formatting and content.
Key capabilities
- Prompt optimization
- Instruction refinement
- Content structuring
- Tone and style guidance
Example prompts
- "Rewrite this product description to be more engaging and persuasive: [existing description]"
- "Create a set of instructions for an AI agent to summarize research papers, including specific formatting requirements."
- "Help me rephrase this prompt to get a more detailed response from the LLM: [original prompt]"
Tips & gotchas
The effectiveness of this skill depends on providing clear and concise input. It is most useful when you have an existing piece of text or a general idea of what you want the AI agent to achieve, but need assistance in refining it for optimal LLM performance.