Skill UI

This guide details implementing Zero Trust Network Access (ZTNA) across major cloud providers (AWS, Azure, GCP). It replaces traditional VPNs by enforcing identity-based, context-aware access controls using identity-aware proxies and micro-segmentation. Use it to secure cloud workloads, limit lateral movement, and comply with modern security standards like BeyondCorp.

Provides a comprehensive guide to implementing the Zero Trust security model using Google BeyondCorp Enterprise. It configures the Identity-Aware Proxy (IAP) to enforce access decisions based on granular context (user identity, device posture, network attributes), moving away from traditional network perimeters. Ideal for securing sensitive GCP resources and meeting compliance requirements.

A persistent file planning system for multi-step AI agent work. It saves task plans, findings, and progress to disk, acting as disk-based working memory. Includes lifecycle hooks for context injection and session recovery. Suitable for research or tasks requiring 5+ tool calls. No network upload path.

This is an advanced, structured workflow designed to conduct deep, multi-source investigations. It synthesizes current public evidence with user-provided context to generate highly structured reports. The workflow explicitly differentiates between verifiable facts, user-supplied evidence, logical inferences, and actionable recommendations, making it ideal for complex comparative analysis or continuous monitoring tasks.

Fetches Google Docs body text and uses it as the Gmail message content so you can quickly turn a document into an email draft for newsletters or updates.

Copilot Spaces allow users to consolidate and manage project-specific knowledge, including documentation, code snippets, architectural standards, and operational instructions. By loading a Space, Copilot grounds its responses not just on general knowledge, but on the curated, authoritative context of the entire project, enabling accurate Q&A, code generation, and workflow execution based on team standards. Ideal for onboarding, large-scale projects, and maintaining consistency.

Converts text-based documentation into structured Markdown by following explicit instructions, documented options, or reference files, supporting header levels, patterns, platforms, and cleanup steps for polished technical documents.

Continuous file-based planning system for multi-step AI agents. Maintains task_plan.md, findings.md, and progress.md files on disk to track project progress. Injects planning context into lifecycle hooks and supports session recovery. Designed for complex research or development tasks requiring 5+ tool calls.

Reads and summarizes local text-based files such as Markdown, JSON, CSV, and source code, including quick type checks and smart tailing for big logs while skipping PDFs, images, and binaries.

Acontext serves as a robust memory layer for production-grade AI agents. It provides persistent sessions, disk-based storage, and sophisticated learning spaces that distill complex conversations into reusable, structured skills. Users can manage the entire system—from project setup and login to skill uploading—via a powerful Command Line Interface (CLI) and API, significantly enhancing agents' contextual understanding and long-term knowledge retention.

This skill is designed for understanding complex database structures. It allows users to list all available tables, intelligently filter relevant tables based on natural language queries, retrieve detailed schemas (columns, types, primary/foreign keys), and map inter-table relationships. It culminates in generating the M-Schema format, which is essential for accurately preparing the context needed for advanced SQL query generation.

This tutor specializes in developing advanced critical thinking and argumentative skills across humanities and social sciences. It covers disciplines including philosophy, sociology, psychology, political science, and literature. Instead of providing simple answers, the focus is on teaching students how to construct nuanced, evidence-based arguments, utilize multiple theoretical frameworks (e.g., Marxist, feminist), engage in close textual reading, and master the structure of academic writing, supporting both Chinese and Western academic traditions.