'dom' 검색 결과

Troubleshoot browser automation when clicks, typing, scrolling, or page snapshots fail on complex websites. Inspect page structure and errors, apply waits or alternative interaction methods, and verify the fix on both problematic and simple pages.

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• Fix scrolling that misses a feed’s scrollable container
• Investigate clicks and text entry that have no effect
• Handle stalled or outdated page snapshots

Analyze a monolithic codebase before splitting it into modules or services. The skill inventories components, examines duplication, hierarchy, and dependencies, then proposes groupings aligned with business domains, with optional checks against business terminology and boundaries.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Assessing component sizes before splitting a monolith
• Finding duplicated business logic across modules
• Reviewing module hierarchy and dependencies

Official NVIDIA-authored guidance for PhysicsNeMo ShardTensor domain parallelism — integrate domain parallelism into training/inference scripts (new or existing) with DDP or FSDP2, write and register shard patches to enable new layers/ops, and bootstrap multi-GPU correctness tests. Use when working with ShardTensor, scatter_tensor, domain parallelism, sequence/spatial sharding, ring attention, DeviceMesh + DDP/FSDP2 hybrid parallelism, or physicsnemo.domain_parallel. Do NOT use for generic PyTorch DDP/FSDP setup without domain parallelism, picking a PhysicsNeMo model or example (use physicsnemo-discover), or non-distributed training questions.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Rigorous, defensible email-spoofability verdict and SPF supply-chain risk analysis computed from published DNS alone. Deepens the record-level SPF/DMARC/DKIM/BIMI/MTA-STS/DNSSEC fetch recipes in the offensive-osint arsenal (§16.14) with the reasoning that section doesn't do: a priority-ordered composite verdict for whether an attacker can actually land header-From-spoofed mail in an inbox, and by which vector (exact-domain vs subdomain) — grounded in the single most-misunderstood distinction in email security: the envelope MAIL FROM that SPF authenticates vs the visible header From: that only DMARC governs. Explains precisely why SPF -all/~all alone is NOT spoof-proof without DMARC enforcement, and why SPF +all bypasses DMARC even under p=reject pct=100. Covers RFC 7208 §4.6.4's 10-DNS-lookup / 2-void-lookup PermError fail-open condition with a runnable stdlib-only lookup-counter script, plus the SPF-include-takeover supply-chain vector (an attacker re-registering a dead include inherits SPF-pass authority over the victim domain) with strict transient-vs-NXDOMAIN discrimination discipline so a temporary SERVFAIL is never mistaken for a takeover lead. Fully passive: DNS TXT reads only, no mail sent, no RCPT TO probe, no API keys. Use when auditing a domain's real spoofing resistance (not just its published records), explaining to a client why 'we have SPF -all' does not mean they're covered, investigating an SPF PermError or an unusually long include chain, evaluating a dead SPF include as a takeover lead, or writing a defensible spoofability finding for a deliverable.

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Search domains, compare prices, find promo codes, get purchase recommendations. Use when user wants to buy a domain, check domain prices, find domain deals, compare registrars, or search for .ai/.com domains.

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Apply DDD tactical patterns when working with domain code, and validate proposed domain models before approval (design mode). Enforces aggregate design, value objects over primitives, entity identity rules, and bounded context boundaries. Use when creating or modifying domain models, designing aggregates, working in the domain layer, or when the user mentions 'domain', 'aggregate', 'value object', 'entity', 'bounded context', or 'DDD'.

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Draft, review, and refactor Reddit comments for any company by providing a domain URL and a Reddit thread. Dynamically extracts product knowledge, approved terminology, voice and tone, and positioning guidelines from the domain before writing. Use this skill whenever the user provides a domain and a Reddit thread and asks to write, draft, review, or refactor a Reddit comment or engagement reply. Trigger on inputs like "Domain: [url] Thread: [url or paste]", "write a Reddit comment for this domain", "draft an engagement for this thread", or any variation where a company URL and a Reddit thread are both provided. Always use this skill — never write Reddit comments for a domain without following this full workflow.

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Structured procedure for expanding attention from focused single-domain mode to panoramic multi-domain awareness. The cognitive transition from "focused attention on one problem" to "unfocused attention encompassing all relevant domains simultaneously." Like Baars' Global Workspace — consciousness as broadcast rather than spotlight. Use after meditation has cleared noise, when a problem spans multiple domains that need to be perceived together, when single-domain analysis keeps missing cross-domain connections, or as the opening move before integrate-gestalt synthesizes what is perceived.

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Use when configuring org-wide platform settings: MFA enforcement, My Domain setup and deployment, session timeout and security settings, password policies, trusted IP ranges (Network Access), and CSP Trusted Sites. Owns these settings as deployable Settings metadata (Security.settings, MyDomain.settings, Company.settings, Language.settings) and the order in which a new org is stood up. Trigger keywords: 'MFA setup', 'My Domain', 'session settings', 'password policy', 'trusted IP ranges', 'CSP trusted sites', 'Security.settings', 'SecuritySettings metadata', 'MyDomainSettings', 'settings-meta.xml', 'enhanced domains', 'deploy org settings', 'new org setup order', 'sessionTimeout enum', 'lockSessionsToIp', 'enableAdminLoginAsAnyUser'. NOT for user-level login restrictions (use user-management), NOT for permission model design (use permission-sets-vs-profiles), NOT for security audit and hardening review (use security/org-hardening-and-baseline-config).

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Audits WordPress plugin or theme PHP code for internationalization (i18n) correctness — text-domain consistency, use of escaped translation helpers (esc_html__, esc_attr__, esc_html_e), correct placeholder helpers (sprintf with translator comments, _n for plurals, _x for context), no variable text-domains, no concatenation inside __() calls, presence of load_plugin_textdomain or load_theme_textdomain, and matching declared Text Domain in the plugin/theme header. Use before plugin/theme release, when reviewing contributor PRs, when adding new strings, when migrating to a new text domain, or when a translator reports issues with the .pot file.

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Passive domain reconnaissance using Python stdlib. Subdomain discovery, SSL certificate inspection, WHOIS lookups, DNS records, domain availability checks, and bulk multi-domain analysis. No API keys required.

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Write or review animation code using GSAP’s helper functions. Convert input ranges, limit values, generate random variations, snap positions to fixed steps, and handle groups of elements for effects driven by scrolling, pointer movement, or repeated updates.

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• Map scroll progress to movement or rotation
• Limit animation values to a safe range
• Add random positions or colors to elements

Extract business areas, workflows, and process steps from a codebase and display them as an interactive horizontal flow graph. Use an existing knowledge graph, a map of project components, or run a lightweight scan of project files.

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• Understanding business workflows from code
• Mapping business areas and process steps
• Creating a business view from an existing knowledge graph

Use Ahrefs through Composio to research keywords, inspect backlinks, review organic search rankings, and track domain metrics over time. Compare SEO performance across competitors or site sections with batch analysis of up to 100 URLs.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Inspecting backlinks and referring domains
• Finding keyword ideas with search volume and difficulty
• Comparing organic search rankings across dates

Create a standard folder layout for a DDD bounded context, a module organized around one business area. Generate TypeScript export files, keep infrastructure outside the public exports, and record the context in a domain model graph.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Starting a module for a new business area
• Splitting a monolith into bounded contexts
• Listing existing contexts

Audit a TypeScript codebase organized with domain-driven design, which separates business responsibilities into distinct areas. Identify improper imports, unchecked data changes, event issues, and repository placement problems, then report their locations and suggested fixes.

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• Auditing dependencies between business domains
• Reviewing cross-module changes before merging
• Checking domain boundaries in continuous integration

Create TypeScript scaffolding for a domain aggregate, a group of objects governed by shared business rules. Generate its main entity, value objects, repository interface, domain events, and unit test stubs inside an existing context.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Adding an aggregate to an existing domain context
• Modeling a business concept with rules to enforce
• Creating entity, repository, event, and test scaffolding

Review large tables, feeds, and lists for rendering overhead. Introduce virtualization, which renders only visible items and a small buffer, while preserving keyboard access, selection, and expected scrolling behavior.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Investigate sluggish admin tables
• Review long search result lists
• Reduce rendering overhead in feeds

Write and review animation code using gsap.utils helpers. Convert scroll positions into animation values, constrain ranges, generate random values, snap positions to a grid, and handle element collections with reusable functions.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Mapping scroll position to movement or rotation
• Snapping animated positions to a grid
• Randomizing element positions and colors

Plan experiments before collecting data. Helps choose study designs, randomly assign subjects or samples, organize treatment combinations, and generate reproducible schedules while checking for confounding and repeated measurements incorrectly counted as independent samples.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Create random assignments for subjects or samples
• Screen multiple experimental factors
• Balance conditions across batches, days, or plate positions

Audit and repair existing Cypress tests that fail intermittently. The skill identifies fixed delays, fragile command chains, shared state, and version compatibility issues, then guides targeted changes and repeated test runs to check the results.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Investigating Cypress tests that fail only in CI
• Replacing fixed delays with meaningful conditions
• Diagnosing detached DOM errors

Analyze DNS logs to find signs of hidden data transfers. Use query length, character randomness, traffic volume, and response sizes to identify suspicious domains and support monitoring rules with Python, Suricata, and Splunk examples.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Investigating possible data theft through DNS traffic
• Ranking suspicious domains found in DNS logs
• Creating DNS tunneling detection rules

Analyze DNS logs for signs of hidden command traffic and data theft. Use character randomness, query timing, TXT record inspection, and machine learning to identify suspicious domains and support security monitoring rules.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Investigating suspected DNS tunneling
• Classifying algorithmically generated domains
• Detecting periodic DNS beacon traffic

Analyze Zeek DNS logs for possible data theft hidden in domain queries. The skill examines unusual character patterns, long labels, distinct subdomains, and query volume, then ranks suspicious domains and produces a JSON evidence report.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Investigating suspected DNS tunneling
• Finding possible data leaks hidden in DNS queries
• Ranking suspicious domains and identifying source IPs