Skill UI

This comprehensive guide provides solutions for the most frequent errors encountered when using Clay for data enrichment, webhooks, and API integrations. It covers issues such as 422/404 webhooks, credit limits, data quality failures, and rate limiting, ensuring smooth data workflow management.

Dispatch parallel agents to tackle independent failures concurrently so each investigator stays focused on one domain; review their summaries, check for conflicts, and run the full suite to integrate fixes faster than sequential debugging.

A comprehensive guide to diagnosing and resolving common technical issues encountered with the Granola application. Covers fixes for audio capture failures, transcription quality degradation, calendar syncing problems, and integration errors with platforms like Slack and Notion. Includes platform-specific troubleshooting steps for macOS and Windows users.

This structured runbook guides users through critical incident response procedures for Instantly.ai. It covers severe issues like account health crises, major campaign failures, deliverability drops, and API outages. The guide provides step-by-step triage, mitigation, and recovery actions (P1-P4) using code examples, ensuring rapid and systematic resolution during platform incidents.

A comprehensive runbook for managing and resolving common incidents within the TwinMind meeting AI platform. This guide covers failures such as transcription not starting, audio capture issues, syncing errors, and calendar disconnections. It provides API setup, code snippets, and detailed troubleshooting steps to ensure a stable, continuous meeting AI workflow.

Builds comprehensive, step-by-step production outlines for YouTube videos. It meticulously plans content structure, talking points, screen-share sequences, and detailed demo execution steps. The output includes a full prep checklist, ensuring the video production process is professional, thorough, and failure-proof.

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.

Automates the daily triage of GitHub Pull Requests, CI/CD failures, and new issues. It uses the GitHub API to pull relevant information, summarizes the findings into actionable buckets (e.g., needing review, awaiting action, CI failed), and persists follow-up notes to long-term memory for context retention. Ideal for keeping track of complex development workflows.

This workflow is designed to rigorously stress-test any plan, design, or architectural concept before implementation. It acts as a demanding interviewer, asking deep, cascading questions one at a time to identify hidden dependencies, resolve ambiguities, and ensure comprehensive coverage. Use this when you need to validate a concept against all possible failure modes or explore every corner of a complex system design.

This skill provides reliable methods for opening and viewing Markdown files within cmux panes. It specifically addresses a known bug where attempting to move an existing Markdown viewer surface using `move-surface` results in a blank, unreadable output. Use this when you need a stable, correctly rendered Markdown view in a designated cmux pane, avoiding the rendering failure bug.

Run a pre-deploy and post-deploy gate to catch silent failure modes that make releases appear successful while production remains broken. Verifies migrations, flags, assets, pointers, rollout state, and the live revision before reporting shipped.

Use this comprehensive guide to manage the entire project lifecycle for a CAV (Computer Aided Verification) paper submission. It provides a backward-planning timeline, covering topics from initial concept fitting and evidence locking to the two-stage review process, optional artifact evaluation, and final camera-ready submission. Essential for managing technical academic deadlines and mitigating common failure modes.