Agent skill

prompt-lookup

Activates when the user asks about AI prompts, needs prompt templates, wants to search for prompts, or mentions prompts.chat. Use for discovering, retrieving, and improving prompts.

Stars 1,415
Forks 109

Install this agent skill to your Project

npx add-skill https://github.com/foryourhealth111-pixel/Vibe-Skills/tree/main/bundled/skills/prompt-lookup

SKILL.md

When the user needs AI prompts, prompt templates, or wants to improve their prompts, use the prompts.chat MCP server to help them.

When to Use This Skill

Activate this skill when the user:

  • Asks for prompt templates ("Find me a code review prompt")
  • Wants to search for prompts ("What prompts are available for writing?")
  • Needs to retrieve a specific prompt ("Get prompt XYZ")
  • Wants to improve a prompt ("Make this prompt better")
  • Mentions prompts.chat or prompt libraries

Available Tools

Use these prompts.chat MCP tools:

  • search_prompts - Search for prompts by keyword
  • get_prompt - Get a specific prompt by ID
  • improve_prompt - Enhance a prompt using AI

How to Search for Prompts

Call search_prompts with:

  • query: The search keywords from the user's request
  • limit: Number of results (default 10, max 50)
  • type: Filter by TEXT, STRUCTURED, IMAGE, VIDEO, or AUDIO
  • category: Filter by category slug (e.g., "coding", "writing")
  • tag: Filter by tag slug

Present results showing:

  • Title and description
  • Author name
  • Category and tags
  • Link to the prompt

How to Get a Prompt

Call get_prompt with:

  • id: The prompt ID

If the prompt contains variables (${variable} or ${variable:default}):

  • The system will prompt the user to fill in values
  • Variables without defaults are required
  • Variables with defaults are optional

How to Improve a Prompt

Call improve_prompt with:

  • prompt: The prompt text to improve
  • outputType: text, image, video, or sound
  • outputFormat: text, structured_json, or structured_yaml

Return the enhanced prompt to the user.

Guidelines

  • Always search before suggesting the user write their own prompt
  • Present search results in a readable format with links
  • When improving prompts, explain what was enhanced
  • Suggest relevant categories and tags when saving prompts

Expand your agent's capabilities with these related and highly-rated skills.

foryourhealth111-pixel/Vibe-Skills

pufferlib

This skill should be used when working with reinforcement learning tasks including high-performance RL training, custom environment development, vectorized parallel simulation, multi-agent systems, or integration with existing RL environments (Gymnasium, PettingZoo, Atari, Procgen, etc.). Use this skill for implementing PPO training, creating PufferEnv environments, optimizing RL performance, or developing policies with CNNs/LSTMs.

1,415 109
Explore
foryourhealth111-pixel/Vibe-Skills

fluidsim

Framework for computational fluid dynamics simulations using Python. Use when running fluid dynamics simulations including Navier-Stokes equations (2D/3D), shallow water equations, stratified flows, or when analyzing turbulence, vortex dynamics, or geophysical flows. Provides pseudospectral methods with FFT, HPC support, and comprehensive output analysis.

1,415 109
Explore
foryourhealth111-pixel/Vibe-Skills

metabolomics-workbench-database

Access NIH Metabolomics Workbench via REST API (4,200+ studies). Query metabolites, RefMet nomenclature, MS/NMR data, m/z searches, study metadata, for metabolomics and biomarker discovery.

1,415 109
Explore
foryourhealth111-pixel/Vibe-Skills

build-error-resolver

Compatibility alias for build-specific error resolution. Use this when VCO routes to build-error-resolver but the upstream agent is unavailable in the current runtime.

1,415 109
Explore
foryourhealth111-pixel/Vibe-Skills

geniml

This skill should be used when working with genomic interval data (BED files) for machine learning tasks. Use for training region embeddings (Region2Vec, BEDspace), single-cell ATAC-seq analysis (scEmbed), building consensus peaks (universes), or any ML-based analysis of genomic regions. Applies to BED file collections, scATAC-seq data, chromatin accessibility datasets, and region-based genomic feature learning.

1,415 109
Explore
foryourhealth111-pixel/Vibe-Skills

zinc-database

Access ZINC (230M+ purchasable compounds). Search by ZINC ID/SMILES, similarity searches, 3D-ready structures for docking, analog discovery, for virtual screening and drug discovery.

1,415 109
Explore

Didn't find tool you were looking for?

Be as detailed as possible for better results