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From prompts.chat
Searches prompts.chat for AI prompt templates by keyword or category, retrieves by ID with variable handling, and improves prompts via AI. Use for discovering or enhancing prompts.
npx claudepluginhub f/prompts.chat --plugin prompts.chatHow 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.
Browse, filter, and explore 2,500+ curated AI prompts by category, model, and output type using Python search script. View stats, get random prompts, and export collections.
Transforms user requests into detailed, precise prompts for AI models using four-block structure. Activates on 'promptify', rewrite, or prompt improvement requests.
Designs reusable text, image, and video prompts with emphasis on clarity, control, cost, and reproducibility. Use when prompt quality is central to a feature.
Share bugs, ideas, or general feedback.
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.