Loading...
Loading...
Found 9 Skills
Finalize prompt file using the role of an AI agent to polish the prompt for the end user.
Transforms vague or rough prompts into precise, structured AI instructions. Use when asked to "refine prompt", "improve prompt", "make this prompt better", "promptify", "optimize prompt", "rewrite prompt", "enhance prompt", or "sharpen instructions".
· Turn notes into structured LLM prompts or improve existing prompts. Triggers: 'write a prompt', 'system prompt', 'prompt template', 'prompt engineering', 'rewrite this prompt'. Not for skills or routines.
Generate local AI images and short media with Draw Things CLI on macOS. Use when you need local txt2img, img2img, model setup, imports, prompt refinement, or rig-aware best-model selection. NOT for UI implementation (design), ad copy iteration (ad-creative), or broad vendor/tool research (research).
Refine prompts for GPT models (GPT-5, GPT-5.1, Codex) using OpenAI's best practices. Use when preparing complex tasks for GPT.
Use when users provide vague, underspecified, or unclear requests where they need help defining WHAT they actually want - across ANY domain (writing, analysis, code, documentation, proposals, reports, presentations, creative work). Trigger aggressively when users express VAGUE GOALS ("make this better", "improve our X", "figure out what to include", "I don't know where to start", "kinda lost on what to do", "not sure what this means"), UNDEFINED SUCCESS ("should look professional", "explain this clearly", "make it convincing", "whatever works best", missing constraints/audience/format), COMMUNICATION UNCLEAR ("how do I explain/communicate this", "my team gets confused when I describe it", "help me figure out what to ask about X"), AMBIGUOUS REQUIREMENTS ("analyze the data" without saying what to look for, "improve documentation" without saying how, "make it more robust" without defining robustness, any request with multiple valid interpretations), or META-PROMPTING ("optimize this prompt", "improve my prompt", "make this clearer", "review my instructions", learning about prompt frameworks like CO-STAR/RISEN/RODES, understanding what makes prompts effective). Trigger for non-technical users and ANY situation where the request needs refinement, structure, or clarification before execution can begin. When in doubt about whether a request is clear enough - trigger.
Meta-prompting skill that creates well-structured, verifiable, low-hallucination prompts for any use case. Use when the user wants to create, refine, or improve a prompt — including system prompts, role prompts, task prompts, or any AI instruction set. Triggers on requests like "create a prompt for...", "help me write a prompt", "refine this prompt", "make a better prompt for...", or "generate a prompt that...".
Prompt Optimizer. Refine draft-level prompts into high-quality ones, generating four strategic variants (A/B/C/D) for users to choose from. Applicable to all scenarios requiring prompt optimization—when users say 'help me optimize this prompt', 'how to write this prompt better', 'the AI didn't understand me, help me clarify this requirement', 'improve the prompt', 'polish the prompt', or mention 'prompt engineering'. Also suitable when users feel their instructions are too vague and need the AI to understand more accurately. It should be invoked whenever users express the intention of 'making instructions clearer/more effective', regardless of whether they use the word 'prompt'.
Compresses and clarifies an existing LLM prompt through concept elevation, verifying that no original instruction is lost. Use when the user says "improve this prompt", or when the user supplies a prompt or prompt file and asks to improve, tighten, optimize, or refine it. Not for writing a new prompt; use writing-system-prompts.