Results for “txt”

Look up DNS records for any domain, including A, AAAA, MX, NS, TXT, CNAME, and SOA records, with support for multiple domains and JSON output.

Optimize content to get cited by AI search engines and rank in LLM-generated answers.

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

Audit project dependencies for risk — known-vulnerable versions, unpinned ranges, abandoned packages, and badly outdated majors. Reads package.json, requirements.txt, go.mod, Cargo.toml. Pure Claude Code, no signup.

Optimize content for AI search and LLM citations across AI Overviews, ChatGPT, Perplexity, Claude, Gemini, and similar systems.

Writes documentation optimized for AI agent consumption, including SKILL.md, README, and API docs, using layered context hierarchies and RAG-friendly formatting.

Improves search engine visibility through technical SEO, on-page optimization, and structured data, following Lighthouse audits and Google guidelines.

Audits and improves search visibility through technical SEO, on-page optimization, structured data, Core Web Vitals, and content strategy.

SLURM EDF job must use marker names from CHANNELNAMES.txt for output files. Trigger: EDF output naming, SLURM job producing CH#_edf.tif instead of marker names, downstream _find_edf_file failures

Validate an AEM Edge Delivery Services sitemap.xml against actual site content, checking URL reachability, lastmod dates, and identifying missing or orphaned pages.

Audits and improves search visibility through technical SEO, on-page optimization, structured data, Core Web Vitals, and content strategy.

Deep-crawl any website from start URLs, returning per-page LLM-ready text, markdown, or HTML with metadata and in-scope outbound links.

Optimize content to be cited by AI search systems and LLMs, including AI Overviews, ChatGPT, Perplexity, Claude, and Gemini, through structure, authority, and presence improvements.

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.

Detects command-and-control (C2) communications tunneled through DNS protocol, including DNS tunneling tools, domain generation algorithms, and encoded payload delivery via TXT/CNAME records.

Detect data exfiltration through DNS tunneling by analyzing query entropy, subdomain length, query volume, TXT record abuse, and response payload sizes using passive DNS monitoring.

Detects DNS tunneling by computing Shannon entropy of DNS query names, analyzing query length distributions, inspecting TXT record payloads, and identifying high subdomain cardinality using scapy for packet capture analysis.

Runs a full website SEO audit by crawling up to 500 pages, detecting business type, delegating to specialist subagents, and producing a prioritized action plan with a health score.

Audits technical SEO across nine categories including crawlability, indexability, security, URL structure, mobile, Core Web Vitals, structured data, JavaScript rendering, and IndexNow, producing a scored report with prioritized fixes.

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.

Audit a site for answer-engine / GEO citation readiness (ChatGPT, Perplexity, AI Overviews), then a phased plan. Use when "AEO", "GEO", "show up in ChatGPT/Perplexity", "AI search visibility", "llms.txt", or "am I blocking AI crawlers". Classic SEO meta/sitemap → enhance-web-seo.

CMake build system for C/C++ projects. Modern CMake (3.20+) with targets, properties, presets (CMakePresets.json), FetchContent, find_package, generator expressions, install rules, vcpkg/Conan integration. USE WHEN: user mentions "CMake", "CMakeLists.txt", "CMakePresets", "find_package", "FetchContent", "target_link_libraries", "vcpkg", "Conan", "C++ build" DO NOT USE FOR: Make, autotools, Bazel, Meson, Visual Studio .vcxproj direct editing

Audit, write, or revise .vale.ini, or work through vale findings on a repo. Use when adding Vale, troubleshooting silent passes or noisy findings, evolving config, or applying the suggestion → warning → error cleanup cascade after a vale run (interactive or pre-commit failure). Applies the two-hook pre-commit pattern (sync + lint), explicit Packages and per-format BasedOnStyles, scoping/ignores for false positives, and a shared accept.txt vocabulary.

Import raw data (CSV, XLSX, TXT, or MATLAB tables) into formats used by Sensor Fusion and Tracking Toolbox. Handles both ground truth trajectories and sensor detection data. For truth: builds trackingScenarioRecording, tuning timetable, truthlog, or converted table. For sensor data: builds task-oriented dataFormat structs (preferred) or objectDetection arrays (legacy). Use when importing flight logs, GPS logs, radar detections, IR measurements, lidar/camera bounding boxes, ADS-B data, AIS ship tracks, or any recorded data for use with trackers, filter tuning, or tracker evaluation.

When the user wants to optimize content for AI search engines, get cited by LLMs, or appear in AI-generated answers. Also use when the user mentions 'AI SEO,' 'AEO,' 'GEO,' 'LLMO,' 'answer engine optimization,' 'generative engine optimization,' 'LLM optimization,' 'AI Overviews,' 'optimize for ChatGPT,' 'optimize for Perplexity,' 'AI citations,' 'AI visibility,' 'zero-click search,' 'how do I show up in AI answers,' 'LLM mentions,' 'optimize for Claude/Gemini,' 'llms.txt,' 'OKF,' 'Open Knowledge Format,' 'knowledge bundle,' or 'agent-readable site.' Use this whenever someone wants their content to be cited or surfaced by AI assistants and AI search engines. For traditional technical and on-page SEO audits, see seo-audit. For structured data implementation, see schema.

Build, audit, debug, and migrate websites for durable organic discovery and reliable use by search engines, LLMs, and browser agents. Use for SEO audits or implementation; new sites, routes, templates, CMSs, catalogs, or content programs; crawling, rendering, indexing, robots, canonicals, redirects, sitemaps, hreflang, structured data, metadata, links, faceted navigation, JavaScript SEO, Core Web Vitals, or migrations; keyword, intent, architecture, content, local, media, or authority work; traffic, ranking, CTR, or indexation losses; AEO, GEO, AI Overviews, AI Mode, ChatGPT search, crawler controls, agent-readable pages, Markdown representations, `Accept: text/markdown` content negotiation, `llms.txt`, WebMCP, or agent interaction design. Trigger whenever code or architecture can materially affect public discoverability or machine usability, even if the user does not say SEO. Do not use for paid-search management alone.