Skill UI

Automate Asana projects, tasks, sections, teams, and workspace lookups through Composio's Asana toolkit over Rube MCP, handling auth, workspace context, schema discovery, and bulk workflows before execution.

Automate Asana projects, tasks, sections, teams, and workspace lookups through Composio's Asana toolkit over Rube MCP, handling auth, workspace context, schema discovery, and bulk workflows before execution.

This skill is designed to enhance the reading efficiency of AI-generated text, such as responses from large language models. It utilizes Rapid Serial Visual Presentation (RSVP) combined with Spritz-style Optimal Reading Pace (ORP) highlighting. By employing this method, users can significantly increase their reading speed to over 600 WPM, allowing for rapid consumption and comprehension of vast amounts of digital text.

Guides users through a three-stage workflow for collaborative documentation, helping teams gather context, iteratively refine structure, and test readability before sharing specs, proposals, or decision docs.

Automate Everhour time-tracking tasks through Composio’s toolkit and Rube MCP, always discovering current tool schemas before executing workflows and reusing session context.

This workflow helps standardize and enhance meeting documentation by utilizing customizable templates, predefined recipes, and pre-meeting context. It is ideal for ensuring consistent, high-quality meeting notes across sales calls, standups, 1:1 check-ins, and strategic planning sessions, improving organizational knowledge capture.

This utility automatically collects comprehensive diagnostic data for the Granola application, including system specifications, audio configurations, network connectivity tests, and application metadata. It packages all findings into a single ZIP file for support teams. Use this when preparing a detailed support ticket or troubleshooting complex, persistent issues. The process is designed to collect diagnostic context without exposing sensitive meeting content, transcripts, or private API keys.

Rewrite AI-sounding text so it reads like the writer without changing the meaning. Use when editing or reviewing prose for common AI tells such as forced contrasts, one-line closers, staged openers, triads, dashes, inflated claims, sales language, and stock phrases. Ideal for cleaning up AI-generated content for blog posts, essays, reports, and other writing.

Identifies and rewrites AI-generated phrasing by removing inflated claims, promotional language, formulaic structures, and robotic cadence so reviewed prose sounds natural, varied, and personality-driven.

Prepares structured meeting materials by pulling context from Notion, enriching it with Claude research, and publishing both an internal pre-read and an external agenda so every participant arrives informed.

Comprehensive PDF toolkit for extracting text and tables, splitting/merging documents, filling forms, and generating new files via Python or CLI tools, enabling automated, large-scale document workflows in analytics, compliance, or reporting pipelines.

Persistent file-based planning for multi-step AI-agent work. Keeps task_plan.md, findings.md, and progress.md on disk; lifecycle hooks inject selected project planning context. Automatic recovery reads project planning files only. Explicit session-catchup.py --metadata reads same-project local agent session records and emits aggregate counts only; --replay may emit bounded nonce-framed excerpts. Optional gated mode can request continuation only when the host supports it and never runs commands declared in Markdown. The skill has no network upload path. Use for research or work needing 5+ to...