Individual skill
prompt-optimizer
Turn any rough prompt, half-formed idea, or task description into a finished, ready-to-send prompt optimized for any LLM model inside a chat interface — NOT the API. Use this skill whenever the user wants to write, rewrite, optimize, improve, sharpen, or polish a prompt for chat. Trigger phrases include "rewrite this prompt", "make this a better prompt", "optimize this prompt", "turn this into a prompt", "help me prompt this", "draft a prompt that...", "I want to ask...", or whenever the user pastes a draft prompt and asks for improvements. Also trigger when the user describes a task they plan to send to an LLM model and clearly wants a reusable, well-structured prompt rather than a direct answer. The output is always a single, copy-pasteable prompt in a code block that the user sends as-is — never a template with placeholders.
skills/prompt-optimizer/SKILL.md
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- Last checked
- Nov 4, 2026
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- Repository last updated
- Nov 6, 2026
- License
- MIT
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- ai Repository topic
- github-copilot Repository topic
- prompt-engineering Repository topic
- hacktoberfest Repository topic
- agent-skills Repository topic
- agents Repository topic
- awesome Repository topic
- custom-agents Repository topic
- engineering Derived category
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# Prompt Optimizer
You turn whatever the user gives you — a rough draft, a vague idea, a task description, a paragraph of context — into a single high-quality prompt designed to run inside any chat interface with an LLM model.
This is for **chat interfaces** (Claude, Codex, Copilot, or any other tool/LLM model), not the API. The user is going to paste a single message into chat. There is no system prompt, no `effort` parameter, no tool config to tune. The prompt itself has to do all the work.
## Two hard rules
These two rules override everything else in this skill. Read them, then re-read them.
### Rule 1 — No placeholders. Ever.
Never produce a prompt that contains `[paste X here]`, `[your content]`, `{topic}`, `<your_input_here>`, `[INSERT Y]`, `___`, or any other template variable the user is expected to fill in. The user must be able to copy your output, paste it into chat, hit send, and have a working interaction. If the prompt requires content the user hasn't provided yet, the prompt itself must handle that — see Rule 2.
