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Competitor Intelligence workflow skill. Use this skill when the user needs Analyze competitor strategies, content, pricing, ads, and market positioning across Google Maps, Booking.com, Facebook, Instagram, YouTube, and TikTok and the operator should preserve the upstream workflow, copied support files, and provenance before merging or handing off.

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Use when you need Liberty91 platform intelligence — what actually happened (deduplicated Threat Events with every source, Admiralty reliability/credibility and verification stage), whether an IOC is already known to your account, the canonical threat library (actors, malware, vulnerabilities, clusters, ATT&CK TTPs), alert matches, or which of your customer organizations an occurrence affects — or when you need to push intelligence back: ingesting your own report, generating an intelligence package, or uploading an organization document. Also supplies event provenance fields, when the platform returns them, and Threat Library alias resolution to /source-provenance and /quality-of-information-check. Two-way, first-party integration. Commonly invoked by /ip-investigation and friends, /ioc-enrichment-workflow, /threat-actor-profiling, /campaign-tracking and /vulnerability-intelligence. Reads $LIBERTY91_API_KEY.

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Operationalizes a threat intelligence report into hunts: extracting IOCs and TTPs, mapping behaviors to ATT&CK and available telemetry, prioritizing durable behavioral indicators over volatile atomic ones, and producing concrete hunt queries. Activates for requests to hunt from a threat report, operationalize CTI, or turn an intel report into detections.

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Azure AI Document Intelligence SDK for .NET. Extract text, tables, and structured data from documents using prebuilt and custom models. Use for invoice processing, receipt extraction, ID document analysis, and custom document models. Triggers: "Document Intelligence", "DocumentIntelligenceClient"...

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Build automated threat intelligence enrichment pipelines in Splunk Enterprise Security using lookup tables, modular inputs, and the Threat Intelligence Framework.

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Building a Threat Intelligence Platform (TIP) involves deploying and integrating multiple CTI tools into a unified system for collecting, analyzing, enriching, and disseminating threat intelligence. T

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Kelly Real Estate Intel: App-in-Skill daily industry intelligence cockpit for real estate and property agencies (Busabase App-in-Skill). Use when the user asks about real estate, property agencies, listings, transactions, competitor ads, client follow-up, or a地产/中介 intelligence workflow. Prepares news/source signals, buyer-intent interpretation, approved sales actions, and channel drafts for review before any external handoff.

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Building a Threat Intelligence Platform (TIP) involves deploying and integrating multiple CTI tools into a unified system for collecting, analyzing, enriching, and disseminating threat intelligence. T

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Build automated threat intelligence enrichment pipelines in Splunk Enterprise Security using lookup tables, modular inputs, and the Threat Intelligence Framework.

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Build automated threat intelligence enrichment pipelines in Splunk Enterprise Security using lookup tables, modular inputs, and the Threat Intelligence Framework.

中文简介正在准备中。当前显示原文说明。

Building a Threat Intelligence Platform (TIP) involves deploying and integrating multiple CTI tools into a unified system for collecting, analyzing, enriching, and disseminating threat intelligence. T

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Coordinate decisions across multiple AI agents by synchronizing shared memory, combining knowledge, and weighing input by expertise. The skill also guides workload distribution, conflict handling, and recording decisions with their rationale.

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• Combine agent opinions into a shared decision
• Synchronize knowledge across agents
• Redistribute work when an agent is overloaded

Provide shared writing guidance and journal requirements for other installed Nature skills. This supporting reference package covers manuscript structure, evidence-based claims, and journal-specific formats; it is used through another skill rather than as a standalone workflow.

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• Referencing shared guidance through a Nature writing skill
• Consulting journal-specific submission requirements
• Reviewing manuscript length and repeated claims

Investigate suspicious domains, scams, impersonation, and malicious activity using public sources. Preserve source details, check leads against independent evidence, and prepare a threat intelligence handoff that records confidence, verification status, and remaining gaps.

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• Check public phishing reports for a suspicious domain
• Investigate scam or impersonation leads from public posts
• Prepare verified evidence for a security investigation

Creates a new domain-specific skin for reskinnable-demo, combining branding, layouts, pages, data, tools, and an agent. Structures live sales demonstrations around visible AI interactions, including generated interfaces, shared state, confirmations, and memory features.

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• Creating a live sales demo for a different industry
• Changing branding, layouts, and data together
• Demonstrating shared state and human confirmations

Collect indicators of compromise, technical clues such as suspicious domains and file hashes, from incident evidence. Add context and confidence scores, then prepare them for detection, blocking, and structured sharing with partners.

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• Extracting threat indicators from incident evidence
• Adding threat context and confidence scores to indicators
• Preparing indicator lists for detection and blocking

Build threat actor profiles from public reports, social media, code repositories, and other intelligence sources. Correlates indicators, maps related infrastructure and attack techniques, and produces structured dossiers with confidence assessments about who may be responsible.

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• Consolidating public information about an attacker group
• Comparing aliases, targets, and motivations across sources
• Mapping related domains, IP addresses, and infrastructure

Build an OpenCTI pipeline that adds external context to indicators of compromise, such as suspicious IP addresses. Connect intelligence services, relate indicators to known attackers and campaigns, and score confidence to help analysts prioritize investigations.

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• Deploying OpenCTI and configuring enrichment connectors
• Automatically adding context to suspicious IP addresses and domains
• Relating indicators to known attackers and campaigns

Analyze threat intelligence stored in MISP, a platform for sharing security threat data. Summarize event counts, indicator types, attacker groups, and trends over time to create a threat landscape report for a chosen period.

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• Create a threat landscape report for the past 90 days
• Summarize attacker activity and frequently tagged attack techniques
• Track changes in submitted threat indicator types and volumes

Map attacker behaviors and indicators of compromise, or traces of an intrusion, to MITRE ATT&CK techniques. Build coverage heatmaps, compare threat groups, and identify monitoring gaps to guide detection improvements and threat intelligence reporting.

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• Mapping attacker behaviors and intrusion traces to ATT&CK techniques
• Visualizing detection coverage with ATT&CK Navigator
• Identifying attack techniques missing from monitoring

Investigate suspicious IP addresses, domains, URLs, file hashes, and email artifacts using multiple threat intelligence sources. Assess confidence that each indicator is malicious, check links to known campaigns, and document evidence for blocking, monitoring, or allowing it.

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• Triaging indicators from phishing emails
• Investigating suspicious IP addresses and URLs in alerts
• Assessing bulk indicators before adding them to blocklists

Map threat groups’ documented attack techniques in MITRE ATT&CK Navigator. Creates visual layers and heatmaps, compares groups, and highlights techniques missing from existing detection coverage to support security reporting and decisions about detection priorities.

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• Visualizing a threat group's attack techniques
• Comparing techniques shared by multiple threat groups
• Finding gaps in existing detection coverage

Investigate suspicious URLs with URLScan.io by reviewing screenshots, redirects, page content, and network requests. Extract domains, IP addresses, and file hashes as indicators of compromise, then compare findings with threat intelligence sources.

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• Investigating suspicious links in emails
• Checking pages for brand impersonation and credential forms
• Tracing redirects and extracting domains, IPs, and hashes

Guides development across the Kilo JetBrains plugin’s shared, frontend, and backend modules. Explains remote calls between modules, UI thread rules, dependency packaging, and testing practices, including serialization failures that require checks in a running IDE.

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• Placing new code in the appropriate plugin module
• Defining frontend and backend communication
• Reviewing UI threading and coroutine usage