Skill UI

Schedule and execute Dialmycalls operations through Composio’s toolkit by querying Rube MCP for live tool schemas, validating the Dialmycalls connection, and invoking multi-tool workflows with schema-compliant inputs.

This comprehensive workflow automates the entire meeting documentation process. It handles live or recorded audio input, performing accurate transcription with speaker diarization. Subsequently, it leverages advanced AI models to generate detailed summaries, extract key action items, draft follow-up emails, and create structured meeting minutes, significantly enhancing organizational knowledge retention and operational efficiency.

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.

Handles Feishu calendar operations like creating and updating events, inviting attendees, querying availability, and managing repeat instances with timezone-aware ISO 8601 inputs, ensuring hosts stay in sync with RSVPs.

This skill compresses natural language files like CLAUDE.md or todo lists into a concise "caveman" format to reduce input tokens for AI models. It preserves code blocks, technical terms, and structure while removing filler words. The compressed file overwrites the original, with a backup saved in a secure data directory. Triggered via "/caveman-compress <filepath>".

Interactive workflow that uses the joyride_request_human_input tool to probe scope, deliverables, and constraints before executing any task, ensuring thorough clarification and structured planning.

This guide provides comprehensive technical guidance for performance tuning and automating workflows using TechSmith Snagit COM API and Camtasia. It details key considerations for robust scripting, including using PowerShell and Python interop, defining various input/output types (like desktop, window, clipboard, or file), and solving common errors (such as COM registration failures or permission issues). Use this skill when building complex, automated pipelines for screen capture and video editing.

Build reusable n8n sub-workflows with typed inputs, all-vs-each execution, discoverable naming, and agent-tool exposure. Covers when to extract logic, input/output contracts, and stateless vs stateful design.