Performs pandas DataFrame operations for data analysis, manipulation, and transformation. Use when working with pandas DataFrames, data cleaning, aggregation, merging, or time series analysis. Invoke for data manipulation tasks such as joining DataFrames on multiple keys, pivoting tables, resampling time series, handling NaN values with interpolation or forward-fill, groupby aggregations, type conversion, or performance optimization of large datasets.

Fast, modern JavaScript/TypeScript development with the Bun runtime, inspired by [oven-sh/bun](https://github.com/oven-sh/bun).

Triage and resolve Arch Linux issues with pacman, systemd, and rolling-release best practices.

This skill should be used when users want to search, discover, install, or manage Claude Code skills from the CCPM registry. Triggers include requests like "find skills for PDF", "search for code review skills", "install cloudflare-troubleshooting", "list my installed skills", "what does skill-creator do", or any mention of finding/installing/managing Claude Code skills or plugins.

Establish clarity before starting work. Use when beginning any significant task, when input is vague or stream-of-consciousness, or when requirements seem unclear. Handles messy voice input efficiently. This is the first system in the 5-system framework.

Establish clarity before starting work. Use when beginning any significant task, when input is vague or stream-of-consciousness, or when requirements seem unclear. Handles messy voice input efficiently. This is the first system in the 5-system framework.

Master Godot 4 GDScript patterns including signals, scenes, state machines, and optimization. Use when building Godot games, implementing game systems, or learning GDScript best practices.

Build production Apache Airflow DAGs with best practices for operators, sensors, testing, and deployment. Use when creating data pipelines, orchestrating workflows, or scheduling batch jobs.

SQLAlchemy and database patterns for Python. Triggers on: sqlalchemy, database, orm, migration, alembic, async database, connection pool, repository pattern, unit of work.

Establish clarity before starting work. Use when beginning any significant task, when input is vague or stream-of-consciousness, or when requirements seem unclear. Handles messy voice input efficiently. This is the first system in the 5-system framework.

Establish clarity before starting work. Use when beginning any significant task, when input is vague or stream-of-consciousness, or when requirements seem unclear. Handles messy voice input efficiently. This is the first system in the 5-system framework.

Compare runtime behavior between original and migrated repositories to detect behavioral differences, regressions, and semantic changes. Use when validating code migrations, refactorings, language ports, framework upgrades, or any transformation that should preserve behavior. Automatically compares test results, execution traces, API responses, and observable outputs between two repository versions. Provides actionable guidance for fixing deviations and ensuring behavioral equivalence.

Automate Slack messaging, channel management, search, reactions, and threads via Rube MCP (Composio). Send messages, search conversations, manage channels/users, and react to messages programmatically.

Interactive writing assistant for Netwrix documentation. Use when a writer wants hands-on, conversational help: brainstorming structure, drafting a section, editing existing content, incorporating external documents (e.g., .docx files) into existing markdown files, or understanding a style or Vale rule. For fully autonomous tasks (write this entire doc, fix all Vale errors end-to-end), use the tech-writer agent instead.

Drafts multiple email replies or follow-ups in batch using the Superhuman Mail MCP server — processing your inbox in bulk rather than one email at a time. Use this skill whenever someone asks to "draft replies to my unread emails", "respond to all my emails", "write follow-ups for my meetings this week", "batch draft responses", "draft emails for all threads that need a reply", "auto-draft my inbox", "help me respond to everything", "write follow-up emails based on my meetings", "process my inbox", "draft responses to these threads", or any variation of wanting multiple emails drafted at once. Also trigger when someone says "I have a bunch of emails to respond to", "help me get through my inbox", "draft a mail merge", "send personalized emails to these people", or wants to create multiple drafts from a single prompt. Trigger broadly — if someone wants more than one email drafted, this skill should activate.

Interactive writing assistant for Netwrix documentation. Use when a writer wants hands-on, conversational help: brainstorming structure, drafting a section, editing existing content, incorporating external documents (e.g., .docx files) into existing markdown files, or understanding a style or Vale rule. For fully autonomous tasks (write this entire doc, fix all Vale errors end-to-end), use the tech-writer agent instead.

End-of-session wrap-up that extracts gotchas from the session, routes them to AGENTS.md and auto-memory, syncs README and plan files, and writes a handover prompt so the next session picks up where this one left off. Use when the user says "wrap", "wrap up", "wrap this session", "save learnings", "end of session", "I'm done for now", "let's wrap", "remember this session", "clear context", or any variation of closing out a work session and preserving what was learned. Also trigger when the user says they're about to run /clear.

Given a documentation URL, crawl the docs and produce a fast-onboarding brief — mental model, the core 20% of the API, beginner gotchas, a runnable spike, and a cheat sheet. Use when the user pastes a docs link and wants to "get up to speed", "learn this fast", "onboard", "give me the 20%", or otherwise asks for a quick practical overview of a library, framework, API, or tool from its documentation.