20.1K skills · sorted by relevance
Detecting exposed AWS credentials in source code repositories, CI/CD pipelines, and configuration files using TruffleHog, git-secrets, and AWS-native detection mechanisms to prevent credential theft and unauthorized account access.
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Conducts external reconnaissance using Open Source Intelligence (OSINT) techniques to map an organization's external attack surface without directly interacting with target systems. The tester gathers information from public sources including DNS records, certificate transparency logs, search engines, social media, code repositories, and data breach databases to build a comprehensive target profile. Activates for requests involving OSINT reconnaissance, external footprinting, attack surface mapping, or passive information gathering.
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Detect PowerShell Empire framework artifacts in Windows event logs by identifying Base64 encoded launcher patterns, default user agents, staging URL structures, stager IOCs, and known Empire module signatures in Script Block Logging events.
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Analyzes malicious PDF files using PDFiD, pdf-parser, and peepdf to identify embedded JavaScript, shellcode, exploits, and suspicious objects without opening the document. Determines the attack vector and extracts embedded payloads for further analysis. Activates for requests involving PDF malware analysis, malicious document analysis, PDF exploit investigation, or suspicious attachment triage.
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Perform static analysis of malicious PDF documents using peepdf, pdfid, and pdf-parser to extract embedded JavaScript, shellcode, and suspicious objects.
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Analyzes RAM memory dumps from compromised systems using the Volatility framework to identify malicious processes, injected code, network connections, loaded modules, and extracted credentials. Supports Windows, Linux, and macOS memory forensics. Activates for requests involving memory forensics, RAM analysis, volatile data examination, process injection detection, or memory-resident malware investigation.
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Performs Linux memory acquisition using LiME (Linux Memory Extractor) kernel module and analysis with Volatility 3 framework. Extracts process lists, network connections, bash history, loaded kernel modules, and injected code from Linux memory images. Use when performing incident response on compromised Linux systems.
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Parse NetFlow v9 and IPFIX records to detect volumetric anomalies, port scanning, data exfiltration, and C2 beaconing patterns. Uses the Python netflow library to decode flow records, builds traffic baselines, and applies statistical analysis to identify flows with abnormal byte counts, connection durations, and periodic timing patterns.
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Detect and analyze heap spray attacks in memory dumps using Volatility3 plugins to identify NOP sled patterns, shellcode landing zones, and suspicious large allocations in process virtual address space.
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Identifies and unpacks UPX-packed and other packed malware samples to expose the original executable code for static analysis. Covers both standard UPX unpacking and handling modified UPX headers that prevent automated decompression. Activates for requests involving malware unpacking, UPX decompression, packer removal, or preparing packed samples for analysis.
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Scan the codebase for security vulnerabilities. Check OWASP top 10, input validation, auth, crypto, and known BACKLOG security items.
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Check docs/ai/ spec files and ADRs for inconsistencies with the actual codebase. Report only, no modifications.
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Check docs/ai/ spec files and ADRs for inconsistencies with the codebase, then fix all discrepancies.
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Review and fix OpenMetadata connector documentation against JSON schema and source code. Validates availableFeatures, permissions, yaml.mdx configuration, and overall completeness. Automatically fixes gaps.
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Create full documentation for a new OpenMetadata connector from scratch — generates main page, yaml.mdx, troubleshooting page, and registers in docs.json navigation. Derives features, permissions, and YAML config from JSON schema and source code.
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Static-to-EDS conversion that preserves the original design while making content authorable in Document Authoring. Two modes — page-level (overlay template with slot markers) and block-level (each section becomes an independent EDS block). Use when converting an AI-generated static HTML page (Stardust, Mobirise, Relume, Lovable, v0, Figma-derived hand-coded, etc.) into an Edge Delivery Services page. Triggers on "convert this page to EDS", "static-to-EDS overlay", "convert to EDS blocks", "next experimentation", "next run", "start run", or when a user provides a source URL and asks to make it editable in DA while keeping the original design intact. Do NOT use for canonical EDS block-rewrite migrations — that's the page-import skill.
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Crawl and validate all internal and external links across an AEM Edge Delivery Services site. Uses the query index or sitemap to discover pages, extracts links from .plain.html renditions, checks HTTP status codes, and produces a prioritized report of broken, redirecting, and insecure links. Use when auditing link health before launch, after a migration, or as a periodic maintenance check.
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Execute AEM Edge Delivery Services admin operations - list admins, add/remove users, preview, publish, unpublish content, clear cache, sync code, reindex, generate sitemap, manage snapshots, view logs, manage jobs, list sites, configure org/site settings, manage secrets and API keys. Also supports Document Authoring (DA) operations via admin.da.live - list/get/put content, copy, move, delete, versioning, and DA-specific preview/publish. Use for any Edge Delivery Services administrative task.
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Generate comprehensive technical documentation for developers taking over an AEM Edge Delivery Services project. Use when onboarding developers, creating technical handover documentation, or documenting a project's architecture — analyzes codebase structure, custom implementations, design tokens, and produces a complete developer guide.
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Audit images across AEM Edge Delivery Services pages for SEO and performance. Checks alt text quality, missing dimensions, lazy loading on LCP images, fetch priority, file naming, and decorative image handling. Generates a per-page report with specific fix instructions for alt text (in the source document) and performance attributes (in block code or scripts). Use when optimizing Core Web Vitals, improving image accessibility, or auditing image SEO.
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Apply a Content Driven Development process to AEM Edge Delivery Services development. Use for ALL code changes - new blocks, block modifications, CSS styling, bug fixes, core functionality (scripts.js, styles, etc.), or any JavaScript/CSS work that needs validation.
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Creates a new AEM Edge Delivery site from scratch — GitHub repo from the boilerplate, aem-code-sync installation, initial DA content (nav, footer, homepage), and a live preview URL. Use this skill whenever a user wants to create a new AEM Edge Delivery site and no repository or DA content exists yet.
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AEM Cloud Service expert skill for the Asset Manager API (com.day.cq.dam.api.AssetManager). Covers two migration paths — Path A (create/upload, replacing createAssetForBinary/getAssetForBinary/client-facing createAsset with Direct Binary Access via @adobe/aem-upload) and Path B (delete, replacing removeAssetForBinary with in-JVM resolver.delete() + commit or external HTTP Assets API with IMS bearer tokens). Covers IMS authentication, service-user setup with crx delete permissions, asset processing pipeline, common pitfalls (hardcoded credentials, AEM calling its own HTTP API), and composition with replication/event-migration skills.
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Guide for implementing code changes in AEM Edge Delivery Services. Handles block development (new or modified), core functionality changes (scripts.js, styles, delayed.js, etc.), or both. Use this skill for all implementation work guided by the content-driven-development workflow.
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