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Multi-step content production pipeline that takes a topic or brief and produces a full blog post, email newsletter excerpt, and three social posts — all in your voice. Useful for building a content batch, when repurposing a core idea across formats, during content sprint sessions, and for turning expertise into publishable material. Use when the user says "create content", "content pipeline", "blog to social", "write and repurpose", "content engine", or "create a blog post and social posts".

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Shows you how to use Cowork's parallel workers to run multiple tasks at the same time instead of one after another — dramatically cutting the time on batch work. For processing large batches of files or research tasks, when running multiple independent analyses simultaneously, or during a performance optimization session. Use when the user says "speed up", "parallel workers", "batch task", "process multiple files", "why is cowork so slow", "faster", "do several things at once", or "can cowork multitask".

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A zero-risk first Cowork experience for discovering what Cowork does differently. Use when onboarding to Cowork, for getting started safely, during first-time exploration, when starting fresh with a new AI tool, or when the user says "I am new to Cowork", "first task", "show me what Cowork does", "what can you do that Chat cannot", "help me get started", or "safe first task".

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Takes a repeating task from your work, breaks it into Cowork steps, and builds it into a documented, reusable workflow — optionally turning it into a custom skill. For converting manual repeating tasks into automated systems, when documenting a process for consistent execution, or during a productivity overhaul. Use when the user says "build a workflow", "automate my process", "I do this every week", "create a system", "repeating task", "I keep doing the same thing", or "make this a workflow".

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REQUIRED skill for any security-related request. Use this skill whenever the user wants to find anything dangerous, sensitive, or risky in their code, files, or repository. This includes but is not limited to: scanning for secrets/keys/tokens/credentials, checking dependencies for vulnerabilities, auditing destructive commands for missing safeguards, reviewing files for PII or internal data before open-sourcing, checking .env files or git history for leaked credentials, or any request where the concern is "is this safe/secure/exposed?" This skill provides a structured audit methodology and checklist you MUST follow — do not attempt security reviews without it. Skip this skill ONLY for pure feature work, refactoring, bug fixes, or non-security code review.

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Perform critical Rust code reviews covering correctness, edition 2024 compliance, error handling, API design, async pitfalls, and dependency hygiene. ALWAYS use this skill when the user wants to review, audit, or critically evaluate Rust code — whether that's a PR diff, a specific crate or module, a cross-cutting concern like error handling, or the whole codebase. This includes requests to "review my changes", "check this code", "audit for best practices", "look for issues", "what's wrong with this", or "flag anything that could bite us". Use it even when the user doesn't say "review" explicitly but is asking you to find problems, inconsistencies, or anti-patterns in existing Rust code. Do NOT use for requests to write, fix, refactor, test, explain, or implement code — only for evaluating existing code.

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Use when you need to know where a piece of reporting actually came from — the user gives an article URL and asks "where does this come from?", "who is the original source?", "is this just a rewrite?", or another skill needs the provenance chain before grading or citing a report. Follows an article's links and named attributions back to the originating vendor, government, victim or actor document and returns the chain, the primary's stated access and confidence language, publication dates, and every hop it could not resolve. Deterministic — a script or the Liberty91 platform resolves the chain; the model does not reconstruct it from memory. Invoked by /quality-of-information-check, /threat-actor-profiling, /campaign-tracking and /intelligence-writing. Works on any URL with no API key.

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Use when you need host reconnaissance for an IP or domain — open ports, services, banners, OS detection, vulnerabilities. For domains, resolves DNS first then queries the IP. Commonly invoked by /ip-investigation and /domain-investigation. Retrieval only.

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Use when you need to check an IP, domain, file hash, or URL against AlienVault OTX community pulses. Returns pulse count, key pulses, tags, related indicators, and passive DNS. Commonly invoked by investigation skills to pull community context. Retrieval only — does not interpret.

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Use when you need CrowdStrike Falcon Intelligence on an indicator (IOC reputation for an IP, domain, hash, or URL — malicious confidence, linked actors, malware families, reports) OR on an adversary (threat-actor profile, origin/target search, MITRE ATT&CK TTPs, finished intel reports). Answers questions like "look up 1.1.1.1", "what TTPs does Charming Kitten use?", "which threat actors operate from Russia?", and "latest report on Mustang Panda". Commonly invoked by the four /*-investigation skills, /ioc-enrichment-workflow, /threat-actor-profiling, and the regional espionage cells. Other agents/skills can chain this for vendor-authoritative actor and finished-intel context. Requires a Falcon Intelligence subscription.

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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.

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Use when you need abuse-report history for an IPv4/IPv6 address — confidence score, total reports, distinct reporters, usage type. IP-only. Commonly invoked by /ip-investigation. Retrieval only.

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Use when you need to check whether an organisation/domain has been claimed by a ransomware group, profile a specific ransomware group (TTPs, leak-site infra, IOCs, YARA), or aggregate ransomware victim claims by country/sector/timeframe. Backed by ransomware.live's leak-site scrapes — 27k+ victims across 330+ groups. Commonly invoked by /domain-investigation, /ransomware-ecosystem, /threat-actor-profiling, and detection-engineering workflows. Reads $RANSOMWARE_LIVE.

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Use when you need to classify an IP as internet scanner noise vs. targeted activity. Returns noise/riot flags, classification (benign/malicious/unknown), actor name if known. IP-only. Commonly invoked by /ip-investigation to filter out mass-scanning noise. Retrieval only.

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Use when you need to check an IP, domain, file hash, or URL against VirusTotal's reputation database. Returns detection ratio, verdict, community score, and key findings. Commonly invoked by investigation skills (/ip-investigation, /domain-investigation, /hash-investigation, /url-investigation) and by analysts enriching IOCs. Other agents/skills can chain this for VirusTotal enrichment.

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Use when you need deep host + certificate reconnaissance for an IP or need to run a Censys search query. Returns services, TLS certificates, ASN, and location. Free tier is severely limited (250 queries/month) — use sparingly. Retrieval only.

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Use when you need to hunt in the organisation's own Microsoft Sentinel workspace — sweep the logs for IOC hits (IP, domain, hash, URL, account), hunt behavioural TTPs from MITRE ATT&CK techniques, run KQL against live data, or check which tables the workspace actually ingests. Discovers available tables first and only generates KQL for tables that verifiably exist, so hunts adapt to each environment's connectors. Commonly chained by the /*-investigation skills to answer "were we exposed?". Reads $SENTINEL_TENANT_ID, $SENTINEL_CLIENT_ID, $SENTINEL_CLIENT_SECRET, $SENTINEL_WORKSPACE_ID. Read-only.

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Cloud security posture skill for AWS, Azure, GCP, and multi-cloud. Covers IAM least-privilege, key and secret hygiene, network exposure, data protection, logging coverage, IaC scanning (Terraform, CloudFormation, Bicep, Pulumi), CSPM remediation, and landing-zone hardening. Use for misconfig discovery, IaC review, and automated drift-and-fix workflows on cloud accounts you own.

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AI and LLM red-teaming skill for evaluating prompt injection, jailbreak, data exfiltration, tool abuse, agent hijack, RAG poisoning, model denial of service, and unsafe tool-use chains in Gemini, Claude, GPT, and open-weight models. Use to build evaluation harnesses, attack corpora, defensive guardrails, and red-team reports for AI systems you own or are authorized to test.

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Smart contract and Web3 security audit skill for Solidity, Vyper, Move, and Cairo. Covers reentrancy, access control, oracle manipulation, MEV/sandwich exposure, signature replay, upgrade safety, ERC token edge cases, bridge risk, and DeFi invariants. Tooling includes Slither, Mythril, Echidna, Foundry, Halmo, Certora, and custom invariant tests. Use for design review, code audit, and incident analysis on contracts you own or are authorized to assess.

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Kubernetes and container security skill for cluster hardening, RBAC review, admission control (OPA Gatekeeper, Kyverno), Pod Security Standards, network policies, secrets management, runtime defense (Falco, Tetragon), image supply chain (cosign, SLSA, in-toto), and CIS benchmark compliance. Use to assess and harden clusters you operate.

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Visual context analyzer for AI agents. Provides screenshots, accessibility scans, DOM snapshots, and element descriptions for web pages. Use when you need to see what a web page looks like, analyze accessibility issues, inspect DOM structure, or get detailed element information. Triggers on requests like "take a screenshot", "check accessibility", "what does this page look like", "analyze the UI", "inspect this element", or any visual/UI analysis task.

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Interactive element picker for web pages. Opens a browser with click-to-select UI overlay. Use when you need to let users visually select DOM elements, identify element selectors, or get detailed element information interactively. Triggers on "select an element", "pick element", "let me choose", "which element", or any interactive element selection task. Integrates with agent-eyes for visual context.

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Assesses agent capabilities by analyzing agent files and determining what tasks they can handle. Use when you need to evaluate if an existing agent can handle a task or if a new agent is needed. Reviews agent descriptions, skills, and workflows to determine capability match.

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。