Skill UI

This skill analyzes a set of web pages to generate a prioritized roadmap for internal linking optimization. It identifies natural link opportunities, detects critical orphan pages, and warns against anchor text cannibalization risks. The output provides the exact anchor text, the optimal context sentence for placement, and classifies the link type (e.g., Cluster to Pillar), ensuring maximum authority flow and improved search engine visibility.

A specialized social psychology skill that strategizes the placement and framing of social proof. It acts as an expert, analyzing the target audience's psychographics, identifying core trust gaps (e.g., authority, similarity, legitimacy), and structuring persuasive elements like testimonials, case studies, and logos. Use this when existing proof is weak, misplaced, or needs optimization to maximize conversion impact ethically.

This guide outlines how to build new API connectors or providers that strictly adhere to the existing integration architecture and patterns of a target repository. It is designed for adding integrations while maintaining architectural consistency (e.g., layout, configuration schema, authentication model, and testing style), preventing the creation of novel, unsupported patterns.

A specialized audit skill designed to identify and quantify resource leakage, excessive costs, and billing vulnerabilities within complex development tool workflows (e.g., GitHub Apps). It traces webhook events, queue processing, and model calls to pinpoint where token burn or unauthorized resource usage is occurring, ensuring cost efficiency and clean billing practices.

A governance skill designed to secure AI agent tool calls using advanced authorization policies. It implements Cedar policies to control which tools agents can access and under what conditions. Key features include running in 'Shadow mode' for safe observation, 'Enforce mode' for strict blocking, and generating cryptographically signed Ed25519 receipts to provide an immutable, tamper-evident audit trail for every policy decision.

This skill provides a comprehensive guide for integrating and managing Firebase App Check in Flutter applications. It covers selecting the correct platform attestation providers (e.g., Play Integrity, DeviceCheck, reCAPTCHA), initializing the service, handling debug tokens, and executing a secure enforcement rollout. Mastering App Check is critical for protecting backend resources from unauthorized access, significantly enhancing application security.

A comprehensive guide for implementing robust authentication flows in Flutter applications using Firebase Auth. Covers initial setup, state stream management (authStateChanges), and best practices for email/password, phone, Google, and Apple sign-ins, including advanced error handling and token revocation.

This comprehensive guide covers best practices for building robust, production-ready gRPC microservices in Go. It details proper protobuf organization, utilizing interceptors for cross-cutting concerns (logging, auth), implementing graceful shutdowns, handling gRPC status codes, and optimizing client connections with deadlines and retry policies. Essential for engineers designing reliable distributed systems.

This skill guides users through advanced security auditing and best practices for Golang development. It acts as a senior security engineer, focusing on defense in depth by analyzing critical areas like injection patterns, cryptography, secrets management, and authorization flaws. It supports full codebase audits (using STRIDE and DREAD scoring) and precise PR vulnerability reviews, ensuring secure and resilient Go applications.

Provides shared GWS CLI behaviors for authentication, global flags, formatting, pagination, and safety patterns, plus zsh tips and community guidance for safely scripting workspace workloads.

This guide details best practices for using `lark-cli` to interact with Feishu resources. It covers initial configuration, switching between user and bot identities, and crucial authentication flows for AI agents. It provides detailed instructions on handling permission errors, implementing secure split-flow authentication, and managing high-risk write operations to ensure data integrity and user consent.

Guides developers to wrap Feishu API calls into reusable lark-cli skills, covering API research, command templates, and best practices for authentication, permissions, and orchestration.