Skill UI

This skill analyzes local Q&A session JSONL files to produce a complete, auditable weekly report in Markdown format. It supports generating routine weekly summaries, comparing performance across consecutive time windows, and identifying key trends and risks. The output is a single, self-contained Markdown file designed to provide sufficient aggregates and structure for downstream documentation rendering (e.g., Feishu or whiteboards), without needing external data sources or APIs.

This skill generates high-quality, styled code screenshots by calling the ray.tinte.dev API. It allows users to convert raw code snippets into professional PNG images, supporting multiple programming languages (e.g., Python, JavaScript, TypeScript), customizable themes, and various styling parameters like font size and padding. Use this when the user explicitly requests code images, code snippets as pictures, or mentions 'ray' to visualize code.

This advanced skill performs server-enforced security and privacy reviews for applications, including those rapidly developed with AI agents. It implements comprehensive models like STRIDE (security) and LINDDUN (privacy), screens dependencies against live CVE/CISA data, and evaluates applicability of major EU regulations (GDPR, AI Act, NIS2). The output is a formal, auditable compliance report, never a simulated chat response or legal verdict.

Reviews GitHub pull requests in the googleapis/mcp-toolbox repo against the team's reviewer checklist: title conventions, linked issues, logic errors, edge cases, breaking changes, tests, docs, security, and new dependencies, then proposes a paste-ready verdict for the maintainer.

This comprehensive wizard guides users through setting up various AI agent clients (e.g., Claude Code, Codex, CodeBuddy) to connect with a Memory Proxy. It handles configuration scanning, gathering necessary credentials (Proxy URL, User Key), selecting the specific agent, and validating connectivity via live API health checks for multiple protocols (Anthropic, OpenAI, etc.) before writing the final configuration.

This comprehensive guide outlines the principles, architecture, and best practices for developing specialized, modular skills that extend large language model capabilities. Learn how to integrate domain expertise, multi-step workflows, API tool integrations, and structured resources while managing the context window efficiently.

This skill provides access to the Judilibre API, enabling users to search and retrieve judicial decisions from the French judicial system (e.g., Court of Cassation). Users can conduct detailed searches using keywords, filtering by specific chambers, jurisdictions, or date ranges. It also allows reading the full text of a specific ruling, providing structured metadata and the complete legal context. Ideal for legal researchers and students.

This skill automates the final deployment phase of an agent system. It converts a validated build sheet into four ordered JSON payloads (environment, agent, session, kickoff) and generates a resumable `launch.sh` script. Crucially, this process enforces API-key safety by requiring the user to run the script in their shell, pulling the Anthropic API key from the environment variable, thus ensuring the key never appears in logs or files. It provides a structured, multi-step launch sequence.

Provides a rigorous, multi-factor, sector-relative fundamental analysis of publicly listed companies (US, Indian, or global). This skill generates an evidence-backed written report and a sector-relative scorecard, analyzing profitability, returns on capital, balance sheets, and governance. It emphasizes citing primary source documents (e.g., 10-K, annual reports) and benchmarking against appropriate industry peers, avoiding single-metric comparisons.

This skill provides comprehensive, non-destructive testing for deployed Power Pages sites. It navigates the site, performs page crawling, verifies HTTP status codes, captures network API requests (Web API/OData), and detects console errors. It supports testing core site load, authentication flow, and data integrity.

Propose labels and categorize GitHub issues for maintainers without direct edits. Checks duplicates, verifies bug info, and drafts comments based on repository rules. Optimizes issue management workflow for googleapis/mcp-toolbox.

A comprehensive guide for implementing, gating, and managing feature flags within the Webiny system. Learn how to integrate simple boolean flags or complex nested groups, and apply checks at the API, admin UI, and configuration levels, ensuring robust feature rollout and kill switches.