Skill UI

Generates pivot tables and charts from raw data using natural-language prompts, letting you summarize sales, cross-tabulate dimensions, apply filters, and add visuals without manual Excel setup.

Manage cron-based schedules by querying current jobs, prompting user decisions, and creating or deleting tasks with self-contained messages so automated operations run exactly when needed.

Draws four cryptographically random Tarot cards and reads their meanings to orient choices when prompts are ambiguous, indecisive, or explicitly ask for fate-based guidance, then narrates how the spread maps to next steps.

Dispatching parallel agents lets you split independent investigations into focused prompts, coordinate isolated fixes concurrently, and review summaries for integration once each agent finishes.

Guides an agent to critically review a written implementation plan, execute every outlined step with required verifications, and hand off completion via finishing-a-development-branch procedures, ensuring blockers prompt clarification.

This skill intercepts the response flow before generation, allowing the user to explicitly control the desired depth, length, and token usage of the AI's answer. It estimates the complexity of the input prompt and presents multiple options (e.g., 25%, 50%, 75%, 100%), ensuring the output matches the user's need, whether they require a brief summary or a comprehensive, detailed analysis.

Presents modal dialogs for asking clarifying questions, preferences, or confirmations when the user cannot see CLI output, ensuring explicit consent before sensitive or ambiguous actions.

Provides the Google Model Armor CLI to filter user-generated content and run template-guided sanitization for prompts or responses, helping teams enforce safety policies during automation workflows and schema-driven inspections.

Handles user prompts to send local files or images by emitting the required Weixin protocol block so the app can deliver them directly; report success only when the block and target file exist to avoid false claims.

This skill acts as a specialized prompt engineer for AI design tools. It transforms vague, rough UI/UX ideas into polished, highly optimized prompts. It systematically enhances prompts by injecting missing details such as specific components, design system adherence (colors, typography), page structure, and platform context, ensuring the resulting command is professional and ready for superior AI generation.

This advanced tool acts as a specialized prompt engineer, guiding users to create highly optimized, production-ready prompts for various AI models (LLMs, Midjourney, etc.). It enforces strict writing rules, guides detailed intent extraction (Task, Context, Constraints), and provides model-specific best practices (e.g., Claude vs. GPT-5.x) to maximize AI output quality and maintain consistency. Essential for professional content creators, developers, and researchers needing precise AI interaction.

This skill analyzes your opencode prompt history to identify repeating multi-step workflows, recurring unmet needs, and candidates for new reusable skills. By scoring patterns based on frequency, complexity, and tool usage, it helps users save time and avoid repeating complex manual tasks.