SEO、広告、SNS運用、LP、コピーライティング（2,695 件）
概要と使いどころ
Develop and execute a content strategy that maps content to audience needs, funnel stages, and business goals through editorial planning and performance analysis. Use when the user requests content strategy or provides relevant inputs for this workflow.
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, adapt, and schedule social media content across platforms with platform-specific formatting, engagement hooks, and strategic posting cadence. Use when the user requests social media posting or provides relevant inputs for this workflow.
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。
Conduct comprehensive keyword research to identify high-value search terms, map search intent, and uncover content gaps for SEO and content marketing. Use when the user requests keyword research or provides relevant inputs for this workflow.
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。
Write compelling, persuasive marketing and sales copy using proven frameworks like AIDA, PAS, BAB, and 4Ps, with tone and voice customization, CTA optimization, and A/B variant generation. Use when the user requests copywriting or provides relevant inputs for this workflow.
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。
Optimize a webpage for search engines by analyzing on-page elements, improving technical performance, and implementing structured data for maximum visibility. Use when the user requests seo optimization or provides relevant inputs for this workflow.
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。
Use Xquik to fetch X (Twitter) data or act through a connected account. It covers search, profiles, followers, replies, threads, timelines, media downloads, bulk exports, trends, monitors, signed webhooks, draws, posts, likes, follows, DMs, and AI analysis of posts (sentiment, brand mentions, news, market signals, viral score, custom labels). Also use for hashtag or @handle tracking when no other network is named, Xquik MCP setup, pricing, and X API comparisons. Skip data from other social networks, code that stays on the official X API (such as tweepy with an X developer bearer token), official X widget implementation, and content drafting or analysis without an API task. Not affiliated with X Corp.
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。
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。
The telemetry each Active Directory technique generates and what alerts a defender: Kerberoasting produces Event 4769 with RC4 encryption (0x17) and an MDI alert, DCSync produces Event 4662 with the DS-Replication-Get-Changes GUID, AS-REP roasting produces Event 4768 with no pre-auth, LSASS dumping is blocked by EDR, plus a lateral-movement telemetry table by protocol (SMB/WMI/WinRM/RDP/DCOM). Use this whenever you run or plan an offensive AD technique and need to know what noise it makes, when writing the engagement's detection notes, or when a defender wants to know what to monitor. Teaches red teamers what is loud and blue teamers what to watch. Standard-tooling knowledge, no vendor engine.
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。
The order of operations for an Active Directory penetration test: setup, collection, exploitation, post-processing. Use this whenever you are planning or driving an AD assessment and need to know what to run before what and why (map before you exploit; harvest easy credentials before spraying to avoid lockouts; collect the graph before you reason about paths). Covers phase sequencing with standard tooling: netexec/nxc, impacket, certipy, bloodyAD, kerbrute, BloodHound CE. Invoke it at the start of an engagement, when deciding the next phase, or when a step feels out of order.
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。
Real-world Active Directory environment constraints that silently break attacks when ignored: NTLM disabled (Kerberos fallback), AES-only KDCs (RC4 blocked by GPO), LDAP signing and channel binding requiring LDAPS on 636, Kerberos clock skew (KRB_AP_ERR_SKEW), SPNs that must be FQDNs never short names or IPs (the misleading invalidCredentials), Protected Users / LAPS / gMSA / MachineAccountQuota, LDAP 1000-object paging, and VPN latency. Use this whenever a bind, TGT request, LDAP query, or SMB negotiation fails in a way that looks like bad credentials but is really hardening, or before running any AD tooling against a domain you have not fingerprinted. Standard-tooling knowledge (netexec, impacket, certipy, bloodyAD, kerbrute), no vendor-specific engine.
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。
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。
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。
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。
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。
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 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。
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。
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。
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。
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。
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。