Results for “acr”

Reclaim DRAM on NVIDIA Jetson devices by disabling unused display, camera, and DMA subsystems across MB1 BCT, MB2 BCT, kernel reserved-memory, and SWIOTLB layers for headless or no-camera deployments.

Generate optimized SQL queries from natural language descriptions across multiple database platforms including BigQuery, PostgreSQL, MySQL, and Snowflake. Reads database schemas from uploaded files or diagrams to produce accurate, production-ready queries.

Crawl and validate all internal and external links across an AEM Edge Delivery Services site, producing a prioritized report of broken, redirecting, and insecure links.

Provides guidance for building and modifying content management systems across platforms like WordPress, Shopify, Drupal, and Webflow, covering themes, plugins, admin interfaces, media handling, content models, and static export workflows.

Deposit ERC-20 token supply into a Berry Juicer vault on Base to earn trading fees as USDC, then spend the yield as AI inference across 140+ models.

Evaluates Base ERC-20 tokens by contract address, returning a 0-100 score across five criteria, launch protocol classification, security flags, and a narrative interpretation.

Enables comprehensive security monitoring across Azure subscriptions, including cloud security posture management, workload protection, regulatory compliance assessment, and adaptive security controls.

Implement PCI DSS 4.0.1 compliance controls across all 12 requirements, including scoping, network security, data protection, access controls, monitoring, and governance.

Deploy and configure Velociraptor for scalable endpoint forensic artifact collection during incident response using VQL queries, hunts, and pre-built artifact packs across Windows, Linux, and macOS environments.

Query the Malpedia API to research malware family relationships, track variant evolution, link families to threat actors, and integrate YARA rules for detection across malware lineages.

Optimize content for AI search and LLM citations across AI Overviews, ChatGPT, Perplexity, Claude, Gemini, and similar systems. Use when improving AI visibility, answer engine optimization, or citation readiness.

Maintains a persistent session memory across Claude sessions by loading project state at startup, capturing errors and decisions during work, and writing structured handoff summaries at session end.

Runs a structured security audit across six phases: attack-surface mapping, STRIDE/PASTA threat modeling, technical checklists, red/blue team analysis, and a final verdict, with optional Python automation scripts.

Assesses cloud infrastructure for security misconfigurations, IAM privilege escalation paths, S3 public exposure, open security group rules, and IaC security gaps across AWS, Azure, and GCP with MITRE ATT&CK mapping.

Coordinates five specialized coding agents (linter, perf, refactor, security, test) to enforce quality gates across the development lifecycle, from lint enforcement through performance profiling, refactoring, security auditing, and test coverage.

Benchmarks mobile GUI agents on multi-step tasks across 20 Android apps, measuring task completion and essential-state navigation with Task Success Rate and Essential State Achieved Rate.

Use when planning a PLDI campaign across its annual clock — backward-planning from the November deadline through winter reviewing, the February response window, March notification, post-acceptance artifact evaluation, PACMPL production, and the June conference, with owners for each deliverable.

Use when splitting a working tree into atomic commits, or when changes need to be distributed across new commits and/or edits to prior commits on the branch. Especially relevant when changes within a single file belong in different commits.

Elite AI context engineering specialist mastering dynamic context management, vector databases, knowledge graphs, and intelligent memory systems. Orchestrates context across multi-agent workflows, enterprise AI systems, and long-running projects with 2024/2025 best practices. Use PROACTIVELY for complex AI orchestration.

Conducts multi-axis code review. Use before merging any change. Use when reviewing code written by yourself, another agent, or a human. Use when you need to assess code quality across multiple dimensions before it enters the main branch.

Guides the creation of high-quality MCP servers that enable LLMs to interact with external services through well-designed tools, covering planning, implementation, testing, and evaluation across multiple programming languages.

Prevents silent decimal mismatch bugs across EVM chains by querying token decimals at runtime, caching by chain and token address, and using safe normalization for bots, dashboards, and DeFi tools.

Mechanically replace static dependency call sites with wrapper or built-in abstraction calls across a bounded scope, such as migrating DateTime.UtcNow to TimeProvider.GetUtcNow() or File.ReadAllText to IFileSystem.

Generate tailored AI agent instruction files for VS Code Copilot and other coding agents, using AgentRC to analyze your codebase and produce flat or nested instruction files with optional per-area scoping.

Detect brand impersonation attacks across domains, social media, mobile apps, and dark web channels to identify phishing campaigns, fake sites, and unauthorized brand usage.

Audit serverless functions across AWS Lambda, Azure Functions, and GCP Cloud Functions for overly permissive execution roles, insecure environment variables, injection vulnerabilities, and missing runtime protections.

Map cloud infrastructure assets and relationships into a Neo4j graph using Cartography to discover attack paths, IAM permission chains, and security gaps across AWS, GCP, and Azure.

Assess whether your product work is AI-first or AI-shaped, evaluate maturity across five key competencies, and get recommendations on which capability to build next.

Handle files and binary data in n8n workflows correctly, covering the $binary vs $json split, reading/writing binary, preserving binary across transforms, and the agent-tool binary boundary.

Provides a command-line workflow for binary analysis with radare2, covering reconnaissance, disassembly, function analysis, string and import inspection, patching, binary diffing, and r2pipe scripting across PE, ELF, Mach-O, DEX, and WASM formats.

Automatically applies ESLint fixes using the ESLint Node.js API with flat config support, handling rule conflicts across TypeScript-ESLint and eslint-plugin-react, and generating fix reports in SARIF format.

Orchestrates a comprehensive SEO audit across technical, on-page, content, schema, sitemaps, AI search readiness, and GEO dimensions, producing a prioritized action plan with a health score.

Audits and enforces a five-layer design chain (tokens, Tailwind, primitives, sections, pages) across components and pages, detecting hardcoded values, layer violations, dark mode parity issues, and missing primitives.

Optimize content for AI search and LLM citations across AI Overviews, ChatGPT, Perplexity, Claude, Gemini, and similar systems. Use when improving AI visibility, answer engine optimization, or citation readiness.

Promote project-specific memories into strict, small global memory only when they are cross-project, stable, useful, safe, and worth the global context cost. Load when the user says make this global, remember across projects, save this globally, or promote this learning.

Pass/fail health check across every Mushi Mushi pipeline component — CLI credentials, API reachability, edge functions, BYOK key pool, QA cron. Use when "is mushi working", "mushi health check", "check mushi pipeline", "mushi deploy check", "pipeline not responding", or right after setup.