Skill UI

This workflow connects to the Fireflies.ai API via GraphQL to fetch and process detailed meeting transcripts. It handles speaker-diarized data, extracting structured insights such as action items, key topics, sentiment analysis, and speaker breakdowns. It enables the creation of comprehensive meeting intelligence reports and robust downstream pipelines. Use this when you need to automate the retrieval, summarization, or deep analysis of recorded meeting content.

Provides a read-only report showing how much the context-mode feature has preserved session data, including token consumption, savings ratio, and tool-by-tool breakdown for evaluating context efficiency.

This prompt guides software engineers to create comprehensive technical implementation plans for new features. It covers system architecture, database design, API specifications, frontend structure, and security considerations within a monorepo environment. Ideal for planning SaaS features before coding begins.

A comprehensive guide to diagnosing and fixing common technical and workflow errors encountered in the Finta fundraising CRM. It covers API status codes (400-502), data validation issues (e.g., duplicate investors, missing fields), and synchronization breakdowns for investors, pipelines, and emails. Essential for maintaining data integrity during fundraising operations.

Analyzes options chain data by separating real calls and puts from lottery-like speculative contracts to produce more reliable put/call sentiment, anomaly detection, and expiry breakdowns for watchlists, sectors, and event-driven names.

Automatically generates professional, white-labeled client-facing reports based on comprehensive performance data. Use this tool for weekly snapshots, monthly deep-dives, or quarterly business reviews (QBRs). It synthesizes KPI performance, channel breakdowns, root cause analysis, and actionable strategic recommendations, formatted for easy delivery via Slack, email, or Google Sheets.

This guide provides an in-depth breakdown of the academic research paper review cycle, using top-tier database conferences (like SIGMOD) as a case study. It covers the double-anonymous review process, the author feedback phase, interpreting the Accept/Reject/Revise verdicts, and navigating the post-decision revision window and embargo rules. Essential knowledge for authors preparing submissions to top-tier conference proceedings.

Detects error propagation and chain failures in agent workflows. Identifies vulnerabilities like single-point breakdowns, unbounded retries, and unsafe data propagation to ensure system stability and safety during multi-step operations.

Analyzes options chain data by separating real calls and puts from lottery-like speculative contracts to produce more reliable put/call sentiment, anomaly detection, and expiry breakdowns for watchlists, sectors, and event-driven names.