「sns」の検索結果

Authentication coercion (PetitPotam MS-EFSR, PrinterBug MS-RPRN, DFSCoerce MS-DFSNM) chained into NTLM relay (impacket ntlmrelayx) toward LDAP, AD CS web enrollment (ESC8), or SMB. Use when SMB signing is not enforced or LDAP channel binding is missing, and you want to force a privileged machine account to authenticate to your relay and turn that into RBCD, a DCSync-capable ACL grant, or a certificate. Includes the exact Coercer/ntlmrelayx commands, requirements, detection, and remediation.

日本語の概要は準備中です。原文の説明を表示しています。

Think and work like an expert Animal Scientist. Use when a task calls for Animal Scientist judgment. Reasons from NRC nutrient requirements, ad libitum intake, energy/protein partitioning, and genotype x environment x management through ration software (CNCPS, NDS, NRC), pen-blocked trials with mixed models (lme4, PROC MIXED), and BCS, NIR, and rumen/BHBA diagnostics while treating intake collapse, milk fat depression, acidosis, heat stress, wrong experimental unit, and violated withdrawal times as first-class failure modes.

日本語の概要は準備中です。原文の説明を表示しています。

Provider-independent workflow for producing UGC-style paid and social ads, creator testimonials, product demos, hooks, before/after concepts, app walkthroughs, TikTok/Reels/Shorts variants, synthetic-persona or avatar UGC, ad-policy checks, disclosure planning, rights/consent review, delivery specs, and QA.

日本語の概要は準備中です。原文の説明を表示しています。

Diagnose, design, script, produce, adapt, and quality-control product video advertisements from evidence-backed briefs. Use for physical-product, software, app, service, ecommerce, direct-response, brand-response, demonstration, testimonial, launch, and variant ad work where product truth, legibility, claims, platform delivery, and measurable iteration matter.

日本語の概要は準備中です。原文の説明を表示しています。

Search videos, analyze creators, track hashtags, and discover trends on TikTok through SandBase. Use when asked for TikTok research, content discovery, creator analysis, hashtag trends, viral content patterns, or short-form video strategy.

日本語の概要は準備中です。原文の説明を表示しています。

Research industry newsletters, email publications, and WeChat articles to discover content leaders, track topics, and identify distribution opportunities. Covers newsletter discovery, content analysis, audience research, and partnership prospecting.

日本語の概要は準備中です。原文の説明を表示しています。

Search tweets, analyze trends, monitor users, and gather social intelligence from Twitter/X through SandBase. Use when asked for Twitter research, social listening, trend analysis, influencer monitoring, sentiment tracking, or competitor social intelligence.

日本語の概要は準備中です。原文の説明を表示しています。

Generate data-backed content briefs by analyzing Google SERP results, competitor content, keyword intent, and audience questions. Produces writer-ready briefs with target queries, required subtopics, recommended format, word count, and competitive differentiation angles.

日本語の概要は準備中です。原文の説明を表示しています。

Plan, implement, or review verification before completion work in an existing codebase with compatibility, security, and verification controls. Use when the user explicitly requests verification before completion work.

日本語の概要は準備中です。原文の説明を表示しています。

Search content, analyze profiles, track hashtags, and research competitors on Instagram through SandBase. Use when asked for Instagram research, influencer analysis, hashtag tracking, content strategy research, or competitor social monitoring.

日本語の概要は準備中です。原文の説明を表示しています。

Decompose financial variances into drivers with narrative explanations and waterfall analysis. Use when analyzing budget vs. actual, period-over-period changes, revenue or expense variances, or preparing variance commentary for leadership.

日本語の概要は準備中です。原文の説明を表示しています。

Apply umap-learn in reproducible local data workflows with version-aware APIs, explicit assumptions, and validation. Use when the user chooses umap-learn or its strengths fit the task.

日本語の概要は準備中です。原文の説明を表示しています。

Apply vaex in reproducible local data workflows with version-aware APIs, explicit assumptions, and validation. Use when the user chooses vaex or its strengths fit the task.

日本語の概要は準備中です。原文の説明を表示しています。

Research and evaluate u.s. fiscal data with current authoritative sources, provenance, and explicit evidence gaps. Use when the user asks for u.s. fiscal data findings or verification.

日本語の概要は準備中です。原文の説明を表示しています。

Plan, implement, or review vs code extension localization work in an existing codebase with compatibility, security, and verification controls. Use when the user explicitly requests vs code extension localization work.

日本語の概要は準備中です。原文の説明を表示しています。

Plan, implement, or review writing plans work in an existing codebase with compatibility, security, and verification controls. Use when the user explicitly requests writing plans work.

日本語の概要は準備中です。原文の説明を表示しています。

Plan, implement, or review vector index tuning work in an existing codebase with compatibility, security, and verification controls. Use when the user explicitly requests vector index tuning work.

日本語の概要は準備中です。原文の説明を表示しています。

Research competitor advertising strategies through Facebook Ad Library, Google SERP ads, and social media sponsored content. Covers creative analysis, messaging patterns, targeting signals, and campaign frequency for competitive marketing intelligence.

日本語の概要は準備中です。原文の説明を表示しています。

Simple task management using a shared TASKS.md file. Reference this when the user asks about their tasks, wants to add/complete tasks, or needs help tracking commitments.

日本語の概要は準備中です。原文の説明を表示しています。

Create or review team composition analysis deliverables with traceable assumptions, decision criteria, ownership, and risk controls. Use when the user asks for team composition analysis planning or analysis.

日本語の概要は準備中です。原文の説明を表示しています。

Apply polars in reproducible local data workflows with version-aware APIs, explicit assumptions, and validation. Use when the user chooses polars or its strengths fit the task.

日本語の概要は準備中です。原文の説明を表示しています。

Apply obsidian bases as a bounded agent workflow while preserving user intent, privacy, and host capabilities. Use when the user explicitly requests obsidian bases behavior or files.

日本語の概要は準備中です。原文の説明を表示しています。

Triage and prioritize a support ticket or customer issue. Use when a new ticket comes in and needs categorization, assigning P1-P4 priority, deciding which team should handle it, or checking whether it's a duplicate or known issue before routing.

日本語の概要は準備中です。原文の説明を表示しています。

Create, implement, or review playground work with format, accessibility, performance, and visual-verification controls. Use when the requested deliverable depends on playground.

日本語の概要は準備中です。原文の説明を表示しています。