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Coordinated botnet takedown methodologies — sinkholing, infrastructure mapping, legal frameworks, BGP intervention, and post-disruption analysis. Studies Operation Endgame, Badbox 2.0, and emerging blockchain C2 countermeasures. Defensive disruption for authorized law enforcement, CERT, and academic research contexts.
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Manage Alibaba Cloud RDS using the @alicloud/rds20140815 TypeScript SDK. Use when working with relational database instances (MySQL, PostgreSQL, SQL Server, MariaDB), accounts, databases, backups, security, monitoring, parameters, read-only instances, database proxy, migration, cross-region DR, PostgreSQL extensions, RDS Custom instances, and resource tagging. Covers all 398 APIs of the RDS 20140815 version.
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在 CLI 环境下做 Android APK 逆向时使用。适用于 APK 解包、Java 反编译、smali 修改、重打包、Frida 动态 Hook，以及按需切换到 so/native 分析。优先使用本机已安装的 jadx、apktool、frida、adb、ida-reverse、radare2。
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Helps users set up and run MobiZen-GUI to perform mobile-use tasks — automating Android phone operations via natural language. Use when the user wants to control a phone, execute mobile-use tasks, install/configure MobiZen-GUI, deploy MobiZen-GUI-4B model, or customize the agent's input/output. Triggers on keywords like phone task, mobile-use, mobile automation, Android control, MobiZen, ADB, deploy model, run agent, configure model.
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Track validated Codex Security findings in Linear, Jira, GitHub issues, or draft GitHub security advisories. Use it for one finding or an explicitly selected batch of up to 25 findings tracked as Linear, Jira, or GitHub issues. Includes duplicate checks, exact previews, approval-gated writes, and readback. Do not use it for scans or fixes.
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Apply WIT (Writing Is Thinking) as a human–LLM collaborative scientific reasoning skill for scientific question formulation, finding-driven research planning, next-experiment selection, Results or Discussion review, claim–evidence and reviewer stress tests, manuscript logic audits, deadline closure, and researcher growth. Use when the user invokes WIT or asks for these question-driven scientific reasoning workflows; do not use for generic copyediting, summarization, or literature search alone.
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Search and explore an Obsidian vault through the NoteBrain CLI (semantic search, tags, backlinks, connections, hidden links, boosted retrieval). Use it whenever the user mentions their notes, knowledge base, Obsidian vault, semantic search, finding connections or unlinked notes, or asks exploratory questions like "what do I know about X", "find notes related to Y", "what connects to Z", or "summarize my notes on W" — even when they never say NoteBrain, vector search, or ChromaDB.
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Use when setting up or troubleshooting Waydroid on Linux - installation and initialization, waydroid CLI, GPU and networking setup, GApps and Play certification, ADB integration, file sharing, or desktop environment integration
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Detects sensitive data stored insecurely on mobile devices (Android/iOS). Trigger on: SharedPreferences, NSUserDefaults, SQLite, Room DB, DataStore, Core Data, Keychain misconfiguration, external storage, backup exposure, plaintext files, unencrypted databases, adb backup, iCloud backup, NSFileProtection, EncryptedSharedPreferences, SQLCipher, allowBackup, FLAG_SECURE, keyboard cache, sensitive logs. Covers MASVS-STORAGE-1 (local storage) and MASVS-STORAGE-2 (exposure to unauthorized actors).
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Use when planning, reviewing, or troubleshooting Salesforce data imports, migrations, and bulk updates. Triggers: 'Data Loader', 'Data Import Wizard', 'Bulk API', 'upsert', 'cutover', 'load failed', 'reconcile data'. NOT for sequencing a whole multi-object migration with automation bypass and rollback — use data/data-migration-planning. NOT for choosing the upsert key itself — use data/external-id-strategy. Also triggers on 'process-conf.xml', 'sdl mapping file', 'sfdc.loadBatchSize', 'insert null values', 'insertNulls', '#N/A', 'serial mode', 'hard delete', 'assignmentRuleId', 'lineEnding', 'unprocessedrecords', 'failedResults', 'load order'.
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Network-wide ad and tracker blocking at the DNS level. A Pi-hole alternative that runs directly on your machine as an OpenClaw skill. No separate hardware needed.
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Map UI elements and code relationships (affordances).
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Auto-activate for pytest_databases, Docker DB fixtures, PostgreSQL/pgvector/ParadeDB, MySQL/MariaDB, Oracle/SQL Server, CockroachDB, MongoDB, Redis/Valkey, BigQuery/Spanner, MinIO, or RustFS. Not for mocked DBs.
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Use this skill when authoring or editing Docker Compose files (compose.yaml / docker-compose.yml), running multi-container stacks, or containerizing a Drupal/PHP application — e.g. "set up a local Drupal stack with nginx and MariaDB", "add Redis to my compose file", "why won't my containers start", "split dev and prod compose configuration". Also trigger for compose commands (up, down, logs, exec, watch) and healthcheck/dependency issues between services.
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Tests genotype-environment associations and identifies adaptive loci while correcting for the four-confound landscape (structure, demography, background selection, sampling design) using LFMM2 with mandatory K via sNMF cross-entropy elbow (LEA 3), BayPass Core/AUX/C2/IS with Omega covariance matrix, RDA / pRDA for polygenic adaptation (Forester 2018; requires imputed genotypes), OutFLANK with trimmed FST null, pcadapt, gradient forests (Ellis-Smith-Pitcher 2012, NOT mis-cited Ellis-Manel), Capblancq & Forester 2021 RDA Swiss-army-knife, genomic-offset prediction with Lind & Lotterhos 2025 three-regime caveat, Lotterhos-Whitlock sampling optima, Wang & Bradburd 2014 IBD vs IBE, and Circuitscape + ResistanceGA. Use when identifying adaptive loci across gradients, choosing K for LFMM2, deciding among GEA methods, predicting maladaptation with the novel-environment caveat, distinguishing IBD vs IBE, or optimizing sampling design.
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Automated end-to-end UI testing and verification on an Android Emulator using ADB.
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Use when writing raw SQL — MariaDB/MySQL syntax, parameterization, raw migrations, seeders with `DB::statement`; fires even on a pasted query asking 'why is this slow'.
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Use when working with database architecture, MariaDB/MySQL tuning, indexing strategies, slow queries, or multi-connection patterns — even when the user just says 'this query is slow'.
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Use for Electron desktop application implementation, local packaging, and macOS Electron installer builds in GitHub Actions. Covers secure IPC, preload and multi-process architecture, electron-builder/Forge configuration, native modules, signing/notarization setup, DMG/ZIP packaging, mounted packaged smoke, and macOS qualification evidence. For cloud releases, this Skill owns macOS build and qualification; use github-desktop-release for Windows GitHub Actions qualification and for shared artifact promotion, GitHub Release publication, resume, or authoritative readback. Do not use this Skill to build or qualify Windows installers in GitHub Actions.
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Automated end-to-end UI testing and verification on an Android Emulator using ADB.
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Orchestrates Android development tasks including project creation, deployment, SDK management, and environment diagnostics using the `android` command-line tool.
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XML-specified Android UI journey testing, interactive step execution, assertion verification, and JSON outcome reporting.
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Baut und betreibt ein anbieterneutrales Self-Care-Kernset für geplante LLM-Aufgaben und Desktop-App-Automationen. Ergänzt deterministisches Policy-Linting, Lock- und Modell-Governance, semantische Prompt-Prüfung, konsistente Mehrflächen-Updates, Mini-Checks und Regeldatei-Hygiene. Nutzen, wenn ein Agent seinen nativen Scheduler entdecken oder eine bestehende Automations-Flotte mit Rollback, Readback und Löschschutz kontinuierlich verbessern soll. Löst aus bei automation self-care, Scheduler-Task-Pflege, Desktop-App-Automations-Wartung, Automations-Flotten-Audit, selbstheilende Zeitpläne, core-set-textautomations, basic-text-automations, textbased-automation-core, textbased-automation-drivers, textbased-governance-automations oder textbased-desktopapp-automations.
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Erstellt einen portablen KI-Arbeitsbereich auf einem USB-Stick oder beliebigen Laufwerk. RAG-Pipeline mit lokalen LLM-Modellen (Ollama), Vektordatenbank (ChromaDB) und vorkonfigurierten Prompts.
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