Skill UI

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.

Report recorded output and cache-read token usage, response counts, and mode attribution for the current Claude Code session. In other hosts it points to native usage reports, and it honestly states that token savings remain unknown without a measured comparison.

This skill analyzes and reports on the token usage, expenditure, and budget for AI models (like Claude Code) by querying a local SQLite database. It is essential for users who need detailed financial accountability, tracking costs by project, tool, or date, and managing operational budgets.

TextMe is a local daemon that transforms your smartphone into a powerful remote control for Claude Code sessions. By bridging inbound iMessages (from whitelisted numbers) through services like Sendblue, users can interact with their AI session on their laptop, executing code, navigating filesystems, sending voice notes, and receiving real-time updates. Ideal for supervising headless workstations or coding while away from your desk.

This utility parses structured short-drama scripts (AI-video-script format) and generates a time-coded SRT subtitle file. It reads cumulative shot durations and voiceover texts to create highly accurate, timestamped subtitle cues. It operates purely on text processing, making it ideal for automated video production pipelines, especially between script merging and final subtitle burning.

Specialized skill to rewrite and humanize AI-generated natural language files (like notes or documentation). It removes common 'AI-isms' such as sycophantic openings, stock vocabulary, over-explaining, and excessive signposting. Users can choose between a fast, deterministic regex cleanup or a deep LLM rewrite (default mode) using Claude to enhance burstiness and match a natural human voice, all while strictly preserving code blocks, URLs, and headings.

Context Kit is an external framework designed to organize and manage personal, durable context data (like identity details, memories, and domain knowledge) into secure Markdown artifacts. It helps users set up robust knowledge bases for coding agents (e.g., Claude Code), guiding them on best practices for data privacy, local storage, and safe integration, while preventing sensitive data leaks.

This skill utilizes the built-in macOS `caffeinate` command to prevent the Mac from entering sleep mode. It is essential for guaranteeing uninterrupted workflow during long-running tasks, such as code builds, large downloads, or supervised automation sessions. Users can specify a fixed duration or attach the function to a specific process ID for continuous wakefulness.

This skill analyzes and reports on the token usage, expenditure, and budget for AI models (like Claude Code) by querying a local SQLite database. It is essential for users who need detailed financial accountability, tracking costs by project, tool, or date, and managing operational budgets.

A Claude Code Stop hook that mechanically blocks session completion until deterministic quality checks pass: rationalization regex warnings, stale learning-library detection via file mtime, and disk-space thresholds. Enforces learning-capture habits with zero AI inference.

This tool generates a detailed, local 'receipt' or impact report of all Claude Code activity recorded in local session transcripts. It cross-references this data with your local Git history to provide a quantifiable measure of effort and project contribution. Ideal for performance reviews, budget justifications, or self-auditing usage.

This comprehensive checklist guides authors through the final necessary checks before submitting a manuscript to AEJ: Economic Policy via the AEA system. It ensures strict compliance with single-blind review rules, JEL code requirements, formatting standards, data availability statements, and disclosure policies, significantly improving the likelihood of a successful submission.