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Found 644 Skills
Senior Content Humanization Architect for 2026. Specialized in natural language refinement, authentic voice injection, and AI-detection avoidance. Expert in transforming robotic, predictable AI drafts into high-engagement, human-centric content that satisfies E-E-A-T standards and builds deep trust through empathy, storytelling, and cultural nuance.
Senior Data Security Architect & Forensic Auditor for 2026. Specialized in Row Level Security (RLS) enforcement, Zero-Trust database architecture, and automated data access auditing. Expert in neutralizing unauthorized access in Convex, Supabase, and Postgres environments through strict policy validation, JIT (Just-in-Time) access controls, and forensic trace analysis.
Master of PDF engineering, specialized in AI-driven extraction, high-fidelity Generation (Puppeteer), and PDF 2.0 Security.
Universal text classifier supporting multiple rule sets (doc-type, domain, intent).
Expert guidance for creating modern, intuitive, and visually stunning user interfaces. Use this skill when designing or implementing frontend UIs, components, layout structures, or styling.
Senior Multi-Agent Systems (MAS) Architect for 2026. Specialized in Model Context Protocol (MCP) orchestration, Agent-to-Agent (A2A) communication, and recursive delegation frameworks. Expert in managing complex task handoffs, shared memory state, and parallel subagent execution for high-autonomy engineering missions.
This skill guides the use of Jupyter notebooks for data analysis, exploration, and visualization, particularly with BigQuery. It outlines best practices for notebook execution and validation (supporting both cell-by-cell execution and full notebook generation depending on tool availability), library installation, and structuring notebooks for clarity. It also covers specific rules for data cleaning, plotting, and integrating with BigQuery SQL and machine learning workflows. Relevant when any of the following conditions are true: 1. The user request involves a data analysis, data exploration, data visualization, or data insights task that requires multiple steps, queries, or visualizations to answer. 2. The user explicitly requests a notebook (.ipynb). 3. You are creating, editing, or executing cells in a Jupyter notebook. 4. You need to query BigQuery from within a notebook. DO NOT use the Python BigQuery client library; instead, you MUST use the `%%bqsql` magics explained in this skill.
Use these skills when you need to provision new Cloud SQL instances, create databases and users, clone existing environments, and monitor the progress of long-running operations.
Professional Git Forensics and Archival Intelligence for deep historical recovery.
Writes an implementation plan with small steps, exact files to touch, and verification commands. Use before making non-trivial changes.
Applies tests-first discipline (red/green/refactor) and adds regression tests for bugs. Use when implementing features, fixing bugs, or refactoring.
Generates actionable Disaster Recovery (DR) runbooks from infrastructure and requirements. Validates IaC for resilience (backups, redundancy).