Skill UI

Harden serverless compute on AWS Lambda, Azure Functions, and Google Cloud Functions by enforcing least-privilege IAM roles, moving secrets into vaults, scanning dependencies, validating inputs, securing function URLs, and monitoring runtimes so injections, credential theft, and supply-chain threats are caught before deployment.

This system functions as a persistent, disk-based memory for complex workflows. It structures and tracks multi-step projects and research by utilizing three key Markdown files: task_plan.md (main plan), findings.md (research discoveries), and progress.md (session log). It ensures that critical context, progress state, and key findings are never lost to the limited context window, making it ideal for long-term, structured work.

Provide step-by-step explanations of specific files, functions, or modules, leveraging the understand-explain workflow to map graph context, layer placement, internal structure, and data flow for developers needing deep clarity.

Comprehensive Snowflake development assistant covering SQL best practices, dynamic tables, streams, tasks, Snowpipe, Cortex AI functions/agents, Snowpark Python, dbt integration, performance tuning, and security hardening for production data platforms.

A comprehensive guide to advanced development practices on the Snowflake platform. Covers best practices for SQL (MERGE, semi-structured data, colon prefix rule), modern data pipeline construction (Dynamic Tables, Streams/Tasks, Snowpipe), and deep integration with Cortex AI functions and Snowpark Python. Essential knowledge for data engineers building robust, scalable, and intelligent data applications.

Detects and prevents injection attacks targeting serverless functions by combining static analysis, event mapping, runtime behavior monitoring, and IAM auditing so SOCs can spot poisoned triggers, malicious layers, and privilege escalations across Lambda, Azure, and GCP environments.

This skill functions as a Brand Psychologist and Semiotics Researcher. It diagnoses the subconscious signals (visual, verbal, behavioral) a market currently associates with a brand, identifying the 'perception gap' between the current schema and the desired brand position. It then prescribes minimal, high-leverage changes across all touchpoints to achieve perceptual alignment and build trust.

This skill functions as a Narrative Psychologist, mapping and engineering the full emotional journey a customer must take across any content format (e.g., landing pages, email sequences, sales decks). It systematically designs the emotional progression—from the initial state (e.g., skepticism or anxiety) through controlled tension, relief, and anticipation—to the precise emotional state required for a desired action, ensuring the narrative flow is believable and persuasive.

A comprehensive security checklist and pattern library for auditing Solidity AMM contracts, liquidity pools, and swap functions. It covers critical vulnerabilities such as reentrancy, oracle manipulation, slippage, and unsafe token math, ensuring hardened and secure implementation for DeFi protocols.

This skill provides a comprehensive guide on securely integrating and calling Firebase Cloud Functions from Flutter applications. It covers the proper use of `httpsCallable` to invoke structured server-side logic, handling data serialization, implementing robust error handling (including permission denial and timeouts), configuring regional deployments, and utilizing the Firebase Emulator Suite for reliable local testing.

This skill serves as the foundational plumbing layer, enabling AI agents to reliably connect with and interact with the Power Automate platform via the FlowStudio MCP server. It provides essential capabilities such as secure authentication setup, reusable helper functions (Python/Node.js), advanced tool discovery (`list_skills`, `tool_search`), and robust response handling, making it the required starting point for building complex automation workflows.

Converts Oracle PL/SQL stored procedures and functions into PostgreSQL PL/pgSQL equivalents by translating Oracle-specific syntax, keeping control flow and signatures intact, honoring type-anchored parameters, and applying COLLATE "C" or orafce helpers when needed during database migrations.