Explorar skills

When working on sensitive projects, proprietary code, or systems where context leakage is a concern. Use when the user says "protect this," "sensitive project," "don't leak," "sanitize output," "clean context," "proprietary," "confidential," or when working across multiple projects where context bleed between them could be problematic. Implements defensive patterns to prevent sensitive context fro

Use when the user wants to generate a daily standup report or end-of-day summary (YDY/TDT/BOS/口頭同步). Single entry point for all standup and end-of-day workflows. Trigger: 'standup', '站會', 'daily', '寫 standup', '下班', '收工', 'EOD', 'wrap up', '今天做了什麼'.

Automate Statuscake tasks via Rube MCP (Composio). Always search tools first for current schemas.

Automate Cloudflare tasks via Rube MCP (Composio). Always search tools first for current schemas.

Automate Kontent AI tasks via Rube MCP (Composio). Always search tools first for current schemas.

Baseline overlay for substantial documentation authoring or restructuring: README, specs, ADRs, tutorials, how-to guides, reference docs, explanations, API docs, code comments, changelogs, and agent-facing docs. Use when the agent should classify doc type, ground claims in repo truth, and validate examples before finishing.

Automate News API tasks via Rube MCP (Composio). Always search tools first for current schemas.

Automate Basin tasks via Rube MCP (Composio). Always search tools first for current schemas.

AI Skills for Reaviz Projects

Deep code-centric review of pull requests for the moving-frontend monorepo. Use when the user mentions reviewing a PR, triaging GitHub Copilot or CodeRabbit comments, doing a code review, or wants feedback on a team member's code. Also trigger for "리뷰", "PR 리뷰", "코드 리뷰", "review PR", "review this PR", "Copilot review", "GitHub Copilot review", or when a PR doc path or GitHub PR URL is provided. Pe

Esta skill implementa, usa ou explica o TurboQuant, algoritmo de quantização vetorial data-oblivious do Google para compressão de cache KV de LLMs. É aplicável para tópicos como compressão de cache KV, TurboQuant e redução do uso de memória de LLMs.

Automate customer engagement workflows including broadcast triggers, message analytics, segment management, and newsletter tracking through Customer.io via Composio