From prompts.chat
Searches, retrieves, and improves AI prompts via the prompts.chat MCP server. Useful for finding prompt templates, getting specific prompts, and enhancing prompts.
How this skill is triggered — by the user, by Claude, or both
Slash command
/prompts.chat:prompt-lookupThe summary Claude sees in its skill listing — used to decide when to auto-load this skill
When the user needs AI prompts, prompt templates, or wants to improve their prompts, use the prompts.chat MCP server to help them.
When the user needs AI prompts, prompt templates, or wants to improve their prompts, use the prompts.chat MCP server to help them.
Activate this skill when the user:
Use these prompts.chat MCP tools:
search_prompts - Search for prompts by keywordget_prompt - Get a specific prompt by IDimprove_prompt - Enhance a prompt using AICall search_prompts with:
query: The search keywords from the user's requestlimit: Number of results (default 10, max 50)type: Filter by TEXT, STRUCTURED, IMAGE, VIDEO, or AUDIOcategory: Filter by category slug (e.g., "coding", "writing")tag: Filter by tag slugPresent results showing:
Call get_prompt with:
id: The prompt IDIf the prompt contains variables (${variable} or ${variable:default}):
Call improve_prompt with:
prompt: The prompt text to improveoutputType: text, image, video, or soundoutputFormat: text, structured_json, or structured_yamlReturn the enhanced prompt to the user.
npx claudepluginhub f/prompts.chat --plugin prompts.chatCrafts and optimizes prompts for LLMs and AI systems using proven patterns (zero-shot, few-shot, CoT, role-playing, constitutional, tree-of-thoughts).
Rewrites user requests into detailed, structured prompts optimized for AI model consumption. Useful when users explicitly ask for prompt improvement or engineering.
Optimizes prompts for production AI features with analysis, 6-step framework, failure detection, and research-backed techniques. Use for prompt review, system prompts, or improvement suggestions.