Top Agent Skills

Compares the performance of two or more audience segments across key metrics side by side, using Adobe Analytics data to determine winners, losers, and spreads for each metric.

Generate JSON-LD structured data for AEM Edge Delivery Services pages by analyzing page content and metadata to determine schema.org types, extract properties, and produce validated snippets for head.html or scripts.js.

Migrate javax.inject.@Inject fields in Sling Model classes to injector-specific annotations like @ValueMapValue, @OSGiService, or @SlingObject based on the field's declared type.

Upgrades outdated Maven dependency versions in AEM Cloud Service pom.xml files, handling both literal <version> and same-pom ${property} shapes.

Analyze and improve the internal link structure of an AEM Edge Delivery Services site by building a link graph from the query index and page content, identifying orphan pages, hub pages, and content silos, and generating specific linking recommendations with suggested anchor text and placement.

Generate natural speech from text using ElevenLabs voice AI, supporting 70+ languages, multiple models, and various output formats.

Create, refresh, and rewrite PR titles and descriptions following Sentry conventions, focusing on reviewer-facing content that describes the full branch diff.

Generates deep links to the Arize UI for traces, spans, sessions, datasets, labeling queues, evaluators, and annotation configs.

Integrate Microsoft Graph SDK into .NET, TypeScript/JavaScript, or Python projects to access Microsoft 365 data and services.

Debug LLM applications using the Phoenix CLI: fetch traces, analyze errors, structure trace review with open and axial coding, inspect datasets, review experiments, and query the GraphQL API.

Resolve timezone questions for .NET and C# code with production-safe guidance and copy-paste-ready snippets, including address-to-timezone lookup, cross-platform ID mapping, and DST-safe scheduling.

Wire CommunityToolkit.Mvvm ViewModels into Microsoft.Extensions.DependencyInjection with constructor injection, service lifetimes, IMessenger registration, and testing seams for WPF, WinUI 3, MAUI, Uno, and Avalonia apps.

Publish presentations and web content to GitHub Pages. Converts PPTX, PDF, HTML, or Google Slides to a live GitHub Pages URL. Handles repo creation, file conversion, Pages enablement, and returns the live URL.

Run an AI-readiness assessment on the current repository and generate a static HTML dashboard at reports/index.html.

Migrate React string refs (ref="name" + this.refs.name) to React.createRef() in class components for React 18.3.1 and 19 compatibility.

Provides expert guidance for testing Spring Boot 4 applications with modern patterns, test slices, and best practices.

Create optimized multi-stage Dockerfiles for any language or framework, following best practices for smaller, more secure container images.

Parses Simplicité log files from raw .txt format, filters fields to reduce noise, and outputs structured JSON for efficient AI context usage.

Write, debug, and optimize Adobe Illustrator automation scripts using ExtendScript (JavaScript/JSX). Covers the complete object model, coordinate system, measurement units, export workflows, and best practices.

Audit and improve GitHub Codespaces efficiency by analyzing devcontainer configurations, machine sizing, prebuild strategy, and idle timeout settings.

Manage Arize AI integrations that store LLM provider credentials for evaluators and other features. Supports creating, reading, updating, and deleting integrations with providers like OpenAI, Anthropic, Azure OpenAI, AWS Bedrock, Vertex AI, Gemini, and NVIDIA NIM.

Analyze Terraform plan JSON output for AzureRM Provider to distinguish between false-positive diffs (order-only changes in Set-type attributes) and actual resource changes.

Design and plan end-to-end Azure IoT and Smart City solutions: requirements, architecture, security, operations, cost, and a phased delivery plan with concrete implementation artifacts.

Uses mutation testing to systematically identify gaps in test vector coverage for cryptographic algorithms, then generates new test vectors that close those gaps. Measures effectiveness by comparing mutation kill rates before and after.

Detects missing zeroization of sensitive data in source code and identifies zeroization removed by compiler optimizations, with assembly-level analysis and control-flow verification. Use for auditing C/C++/Rust code handling secrets, keys, passwords, or other sensitive data.

Build custom fuzzers with a modular Rust library, supporting advanced mutation strategies, custom feedback mechanisms, and non-standard target architectures.

Fuzz Python code and C extensions with coverage guidance and AddressSanitizer support using a libFuzzer-based fuzzer.

Coverage-guided fuzzer built into LLVM for C/C++ projects. Use for fuzzing C/C++ code that can be compiled with Clang.

Fuzz Rust projects with libFuzzer using cargo-fuzz, including harness writing, sanitizer integration, and coverage analysis.

Validate cryptographic implementations against known attacks and edge cases using Wycheproof test vectors.

Performs security-focused differential review of code changes (PRs, commits, diffs), adapting analysis depth to codebase size and generating comprehensive markdown reports.

Measures code coverage during fuzzing to assess harness effectiveness and identify fuzzing blockers.

Guides through a 5-step secure development workflow for smart contracts, including automated scanning with Slither, special feature validation, visual security diagrams, security property documentation, and manual review.

Analyzes token implementations and integrations for ERC20/ERC721 conformity, weird token patterns, contract composition, owner privileges, and on-chain scarcity.

Scans Substrate/Polkadot pallets for 7 critical vulnerabilities including arithmetic overflow, panic DoS, incorrect weights, and bad origin checks. Use when auditing Substrate runtimes or FRAME pallets.

Provides React composition patterns to avoid boolean prop proliferation, build flexible component libraries, and design reusable APIs, including React 19 changes.

Store and retrieve API keys, passwords, and credentials in an HSM-backed encrypted vault via MCP or REST API, with policy-based access control, secret rotation, multi-chain signing, and prompt injection scanning.

Manage decentralized git repositories, identities, pull requests, issues, bounties, and agent tasks on the gitlawb network using cryptographic DIDs and Ed25519 signatures.

Register AI agents on Ethereum mainnet with a verifiable on-chain identity using ERC-8004, including bridging ETH, IPFS upload, and on-chain registration.

Pre-ship audit checklist for Ethereum dApps covering wallet connection, button flows, contract verification, branding, RPC config, and mobile deep linking.

Provides current Ethereum gas prices and real transaction costs, comparing mainnet vs L2 and explaining the 95%+ drop in gas fees.

Set your primary ENS name on Base, Arbitrum, Optimism, and Ethereum mainnet via the ENS Reverse Registrar, creating a bi-directional link between your address and ENS name.

Query NFT and token data, browse drops, stream events, and search across Ethereum, Base, Arbitrum, Optimism, Polygon, and more using the OpenSea API.

Monitors EVM blockchain addresses and contracts for large transfers, new approvals, contract upgrades, unusual gas spends, MEV interactions, and first-time interactions with new contracts.

Detects fake reviews, Sybil rings, rating manipulation, and reputation laundering in ERC-8004 agent ratings across 20+ blockchains using the TrustLayer API.

Perform forensic on-chain analysis of EVM tokens to detect scams, rug pulls, and soft rugs by cross-referencing on-chain state against team narratives.

Automates X (Twitter) DM workflows: scan inbox, read conversations, generate persona-based replies, and send messages. Also supports searching users and starting new conversations with rate control and E2E passcode unlock.

Search X (Twitter) by keyword, read tweet content, generate contextual replies from a configured brand persona, and post them using browser automation.

Extract paginated customer reviews from Trustpilot for any company domain, with optional filters for star rating, language, verification status, company replies, date period, keyword search, and reviewer country.

Extract structured product launch data from Product Hunt leaderboards, enriched with maker profiles and website contact information.

Searches for Instagram locations by name and retrieves paginated posts tagged at those locations, including captions, engagement counts, and media URLs.

Extract official websites and social media profiles (LinkedIn, Facebook, X/Twitter, Instagram, YouTube, TikTok) from a company name or website URL using automated browser scripts.

Extracts YouTube video transcripts and performs structured 8-dimension competitive analysis to uncover value propositions, audience profiles, and content gaps.

Generates images using multiple AI providers including OpenAI, Google, Azure, and others. Supports text-to-image, reference images, aspect ratios, and batch generation from prompt files.

Translates text between languages with three modes: quick, normal, and refined. Supports custom glossaries, audience targeting, and style presets.

Posts content to WeChat Official Account via API or Chrome CDP, supporting articles with HTML/markdown/plain text and image-text posts with multiple images.

Transforms plain text or markdown into well-structured, reader-friendly markdown with frontmatter, titles, summaries, headings, bold, lists, and code blocks.

Fetch any URL and convert it to clean markdown using a Chrome CDP-based CLI with site-specific adapters for X/Twitter, YouTube, Hacker News, and generic pages.

Perform time series machine learning tasks including classification, regression, clustering, forecasting, anomaly detection, segmentation, and similarity search using a scikit-learn compatible Python toolkit.

Access AI-ready drug discovery datasets and benchmarks from Therapeutics Data Commons, covering ADME, toxicity, drug-target interactions, and molecular generation with standardized splits and evaluation metrics.