1,336 件 ・ 関連度順
概要と使いどころ
ReversingLabs Spectra Analyze (A1000) API reference. File hash classification, detailed reports, dynamic analysis, network indicator reputation, advanced search, YARA, container relationships.
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 when you need to query an OpenCTI instance — is this IOC already known, what entities/reports/campaigns exist for an actor — or push new intel into it — creating indicators/observables, labelling, TLP markings, relationships, or importing a STIX 2.1 bundle. Two-way integration. Commonly invoked by /ip-investigation and friends to check whether an indicator is already in your knowledge base, and by analytical skills that want to publish their findings back to OpenCTI. Reads $OPENCTI_URL and $OPENCTI_TOKEN.
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 when you need to submit a URL for live scanning via URLScan.io and retrieve results, or search existing scans for a domain. Returns verdict, final URL after redirects, resolved IP, contacted domains/IPs, and screenshot URL. Commonly invoked by /url-investigation and /domain-investigation.
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 when a user asks to check, identify, or characterize a file hash (MD5, SHA-1, SHA-256). Chains VirusTotal and OTX, optionally triggers /malware-analysis for deeper behavioral review. Returns detection signals, malware family, behavioral tags, and pivot candidates (communicating IPs, dropped files). Invoked by /cti-orchestrator when the target is a hash.
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。
GreyNoise API reference. Internet scanner/noise classification for IPs.
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。
Comprehensive framework for effective gptme agent onboarding that builds user trust, communicates capabilities clearly, and establishes productive working relationships from the first interaction.
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。
Manage knowledge graph for autonomous coding. Use when storing relationships, querying connected knowledge, building project understanding, or maintaining semantic memory.
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。
When reviewing, optimizing, or inheriting an LLM agent, systematically identify what's actually load-bearing vs. cruft. Instruments usage, ablates components, and strips the agent to minimum viable form. Answers: "What can we remove without degrading quality?" The goal is the leanest agent that still works.
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。
Ultra-fast proof-of-concept and MVP specialist. Use this agent when you need to validate an idea quickly working prototype before the meeting's over. Pragmatic, speed-focused, validation-oriented. Ships in days, not weeks.
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。
Creates demand generation campaigns, optimizes paid ad spend across LinkedIn, Google, and Meta, develops SEO strategies, and structures partnership programs for Series A+ startups scaling internationally. Use when planning marketing strategy, growth marketing, advertising campaigns, PPC optimization, lead generation, pipeline generation, or startup marketing budgets. Covers multi-channel acquisition (Google Ads, LinkedIn Ads, Meta Ads), CAC analysis, MQL/SQL workflows, attribution modeling, technical SEO, and co-marketing partnerships for hybrid PLG/Sales-Led motions in EU/US/Canada markets.
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。
Executes authorized attack simulations against Active Directory environments to identify misconfigurations, weak credentials, dangerous privilege paths, and exploitable trust relationships that could lead to domain compromise. The tester uses BloodHound for attack path analysis, Mimikatz for credential extraction, and Impacket for protocol-level attacks including Kerberoasting, AS-REP Roasting, and delegation abuse. Activates for requests involving Active Directory pentest, AD attack simulation, domain compromise testing, or Kerberos attack assessment.
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 when analyzing pcap or pcapng files, triaging network captures, labeling IPs with evidence, generating PNG charts, or writing packet analysis reports. Keywords: pcap, pcapng, tshark, Wireshark, scapy, DNS, TLS SNI, RDAP, graph, matplotlib, gnuplot, packet capture.
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 Transaction Cost Economics (Williamson, 1975, 1985) to analyze governance structure choices — market, hybrid, or hierarchy — based on transaction characteristics. Use this skill when the user needs to decide make-or-buy, evaluate outsourcing vs vertical integration, design governance mechanisms for inter-firm relationships, or when they ask 'should we build this in-house or outsource', 'why do firms vertically integrate', or 'how should we structure this partnership'.".
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 the Co-opetition Value Net framework (Brandenburger and Nalebuff, 1996) to map cooperative and competitive dynamics in business relationships. Use this skill when the user needs to identify complementors, analyze the PARTS framework, or design strategies that simultaneously cooperate and compete with the same players.".
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 Granovetter's embeddedness theory to analyze how economic behavior is embedded in ongoing social relations, avoiding both over-socialized and under-socialized accounts. Use this skill when the user needs to explain why market transactions deviate from pure economic rationality, analyze how trust and social ties shape business dealings, evaluate structural vs relational embeddedness in inter-firm networks, or when they ask 'why do firms prefer existing partners over cheaper alternatives', 'how do social relationships shape economic outcomes', or 'is this market truly arms-length'.".
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 Hierarchical Linear Modeling (HLM) to analyze nested data structures with random intercepts and slopes, accounting for intra-class correlation and cross-level interactions. Use this skill when the user has students nested in schools, employees in firms, or repeated measures in individuals, needs to partition variance across levels, or when they ask 'how do I handle nested data', 'what is ICC', or 'do group-level factors moderate individual-level relationships'.".
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 governance theory to analyze multi-level, network, and collaborative governance arrangements beyond traditional government. Use this skill when the user needs to evaluate public-private partnerships, analyze multi-stakeholder governance structures, compare governance models across sectors, or assess institutional arrangements for collective decision-making — even if they say 'who governs this', 'public-private collaboration', or 'how are decisions made across organizations'.".
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。
Anti-slop frontend skill for landing pages, portfolios, and redesigns. The agent reads the brief, infers the right design direction, and ships interfaces that do not look templated. Real design systems when applicable, audit-first on redesigns, strict pre-flight check. Use when building landing pages, portfolios, redesigns, or frontend interfaces that need strong visual taste.
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。
Review content against your brand voice, style guide, and messaging pillars, flagging deviations by severity with specific before/after fixes. Use when checking a draft before it ships, when auditing copy for voice consistency and terminology, or when screening for unsubstantiated claims, missing disclaimers, and other legal flags.
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 when independently reviewing a research-paper draft before submission, running a mock top-conference panel, assessing readiness or accept/reject risk, or predicting reviewer concerns for venues such as CVPR, ICCV, ECCV, ICLR, NeurIPS, and AAAI. Does not draft or audit author responses after official reviews arrive.
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。
Anti-slop frontend skill for landing pages, portfolios, and redesigns. The agent reads the brief, infers the right design direction, and ships interfaces that do not look templated. Real design systems when applicable, audit-first on redesigns, strict pre-flight check.
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 balanced, evidence-based performance reviews for employees. Covers achievements, development areas, and goal setting using the SBI (Situation-Behavior-Impact) feedback model. Produces reviews that are fair, legally defensible, and growth-oriented. Use during annual or semi-annual review cycles. Do not use for disciplinary actions, PIPs, or compensation calculations.
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 before writing PlayCanvas behaviour from scratch, to reuse the scripts and helpers the installed Engine already ships.
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 before loading, placing, scaling, or animating GLB models in PlayCanvas to measure bounds, grounding, clips, joints, and hierarchy with the bundled offline inspector.
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。