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This skill should be used when providing ITIL 4-based IT service management consulting. Use this when organizations need guidance on implementing ITIL 4 practices, improving service management maturity, optimizing IT operations, or aligning IT services with business objectives. Provides tailored recommendations based on department, scenario, and organizational context using comprehensive ITIL 4 knowledge.

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インシデント発生後の振り返りと根本原因分析を体系的に実施するスキル。 ログファイル解析や技術デバッグが必要な場合は log-debugger を使用すること。 本スキルはインシデント管理プロセス（タイムライン構築、影響評価、 是正措置計画、再発防止策）に特化する。ログデータの分析ではなく、 組織的な振り返りプロセスと是正措置の策定が主目的である。 Use when conducting post-incident reviews without log analysis, creating corrective action plans, or performing organizational root cause analysis focused on process improvement. NOT for log file debugging. Triggers: "post-incident review", "corrective action plan", "incident report作成", "再発防止策", "RCAレポート", "是正措置", "インシデント振り返り"

METAINFORMANT rules for directory archive/scripts_reorganize. Use when editing, adding tests, or reviewing code under this path. Read the linked AGENTS.md first; use uv only, write outputs to output/, real implementations.

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Knowledge base from NIST SP 800-37 Revision 2, the Risk Management Framework (RMF) for information systems and organizations. Use for the seven RMF steps (Prepare, Categorize, Select, Implement, Assess, Authorize, Monitor) and their tasks; the three-tier organization-wide risk model; authorization boundaries; the requirements-to-controls relationship; security categorization (FIPS 199/200 high-water mark) and control selection/tailoring (SP 800-53/53B baselines); assessment, the authorization decision and risk acceptance, continuous monitoring and ongoing authorization; the security/privacy distinction; and supply chain risk management. This is the security-and-privacy-risk-governance edge of systems engineering — it governs how much protection and whether to accept residual risk, complementing the disciplines that decide how protection is built. Does NOT reproduce the SP 800-53 control catalog or its baselines, the FIPS impact tables, or the ISO/IEC/IEEE 15288 process text; it names and routes to them rather than restating them.

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Ordner und Dateiablagen semantisch aufräumen: lokale Regeln und vorhandene Taxonomie erkennen, Dateien inhaltlich zuordnen, zusammengehörige Sets erhalten, klare Vorgänger-/Nachfolgerreihen und Logs archivieren, gemischte gültige und überholte Inhalte per Cut-and-Clue trennen und Löschkandidaten reversibel in einen Prüf-Papierkorb legen. Nutze diesen Skill bei „Ordner aufräumen“, „Dateien sinnvoll einsortieren“, „alte Versionen archivieren“, „Logdateien bereinigen“, „veraltete und gültige Inhalte trennen“ oder wenn beim Aufräumen Geheimnisdateien beziehungsweise Geheimnisse in einer Cloud-Ablage auffallen. Er funktioniert anbieter- und nutzerneutral allein; erkannte kompatible Module oder Dateidienste werden nur als optionale Beschleuniger genutzt. Für bereits vollständig definierte wiederkehrende Sammelregeln stattdessen eine regelbasierte Datei-Automation, für den Umbau einer ganzen Projektarchitektur einen Pipeline-/Projekt-Optimizer verwenden.

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Trauma-Psychoedukation: Traumadefinition, normale Reaktionen, Fenster der Belastbarkeit, Triggermanagement und Selbstfürsorge.

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Tiefe Pflegerunde für ein veröffentlichtes GitHub-Repository (Stufe 2): enthält den vollständigen surface-after-care-Durchlauf und ergänzt ihn um drei teure Schritte — rechtliche Ersteinschätzung über die Law-Checker mit Wiedervorlage nach einem Jahr (Gutachten bleibt gitignored im Repo), Querverweise zu verwandten Repos über ALLE Organisationen hinweg sowie das Nachziehen aller Sprachen auf App-Ebene, nicht nur in der Doku. Nutze diesen Skill bei "full after care", "deep after care", "tiefe Repo-Pflege", "große Runde", "Repo grundlegend durchgehen", wenn ein Repo länger nicht geprüft wurde, vor größeren Releases oder wenn rechtliche Relevanz, Querverweise oder Mehrsprachigkeit ausdrücklich Thema sind. Für die günstige, oft wiederholte Runde stattdessen surface-after-care; für die Erstveröffentlichung github-repo-care.

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Regelmäßiger Pflegedurchlauf für ein bereits veröffentlichtes GitHub-Repository (Stufe 1, günstig und oft wiederholbar): zuerst alle Distributionsflächen des Projekts ermitteln (npm, PyPI, Registries, Marketplaces, Stores, Website) und Änderungen später dorthin spiegeln, dann Topics setzen, Privacy-Gate, Dokumente auf Veröffentlichungsabsicht prüfen und interne Planungsdateien nachträglich ignorieren, Banner ergänzen, Aussagen im README gegen den echten Code-Stand abgleichen, Darstellung verbessern, Sprachfassungen der README vervollständigen, Sichtbarkeitsmaßnahmen umsetzen, Eintrag auf der Organisationsseite prüfen sowie offene Issues und Pull Requests abarbeiten. Nutze diesen Skill, wenn ein bestehendes Repo gepflegt, aufgeräumt, aktualisiert, aufgehübscht oder "mal wieder durchgesehen" werden soll, wenn ein Repo veraltet oder unaufgeräumt wirkt, bei Formulierungen wie "Repo-Pflege", "after care", "Nachpflege", "Repo auf Stand bringen", "aufräumen und pushen" oder bei rotierenden Qualitätsrunden über mehrere Repos. Für die tiefe Runde inkl. Rechtscheck und orga-übergreifenden Querverweisen stattdessen full-after-care nutzen; für die Erstveröffentlichung github-repo-care.

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- Mine GitHub, GitLab and git history for identities, infrastructure and leaked credentials using commit author emails, GitHub code search, the commit… Use when investigating a developer or organisation on GitHub, finding leaked API keys, AWS keys or tokens in code, enumerating org members and their personal repos, or recovering secrets deleted from HEAD but still present in history or forks

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Create a node-local skill on a follower machine and prepare its promotion into the shared set through a gate. Use when a new skill idea appears on a peer and should not wait for the hub. Triggers: "/skill-forge <idea>".

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- Enumerate an organisation's subdomains and sibling domains from Certificate Transparency logs and passive DNS, without sending traffic to the target. Use when looking for staging, dev, admin or VPN hosts, mapping the full hostname footprint of a domain, or spotting infrastructure a company forgot it had

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Operational guide for integrating the NV oOS Complete purchase flow (vendor checkout API client) into standalone WordPress plugins — docs-hub 0.5.3 (stack added in PR #6963, shipped 0.5.2 → 0.5.3) and nvoos-content-graph 1.0.10 (live). Covers the vendor API contract (session/verify/health, nvoos-oos-complete product, 424/502 error passthrough), the five-class client stack (config, vendor client, license store, installer, REST controller), the purchase-modal JS/CSS port recipe (class-prefix rename, keep-the-JS-identical trick), wp.org commerce compliance (External Services disclosure, WPORG-REVIEW-COMMERCE-NOTES.md, js.stripe.com service exception), and the checkout test conventions (direct controller calls, pi_ fixture rules, zero-HTTP assertions). Use when adding the Get NV oOS Complete upsell/checkout to a plugin, porting the commerce stack to a new standalone plugin, extending the purchase flow, or debugging a checkout integration.

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Manage encrypted vault storage for sensitive information — passwords, secure notes, payment cards, digital identities, and folder organization. Use when storing, retrieving, or organizing credentials, managing secrets, or working with encrypted data.

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Use when the user asks to "run the weekly social readout", "which denominator does our engagement rate use", or "which posts won this week and what changes next cycle"; produces the organic-social metric dictionary (every rate names its denominator — ERR engagement-by-reach vs ERI by-impressions vs ER-by-follower — locked across periods), median-not-mean per-post rollups with organic and boosted separated, EMV as labeled exec-translation only (never inside any score), an attributed CHAOSS/Orbit-style community-health readout with employees excluded, and the best/worst-performer write-back the next calendar cycle consumes. Not for dollar-ROI math or the ECHO profile result gate verdict — use roi-calculator and social-quality-auditor. 社媒周报/互动率分母/指标字典/复盘回写

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Comprehensive social media operations for B2B SaaS brand building and engagement. Use this skill to develop LinkedIn strategy, decide whether to run a LinkedIn newsletter and how to scope it, capture consented registrations from LinkedIn Events, check LinkedIn Live eligibility, manage Twitter/X presence, create YouTube content, engage on Reddit communities, build community, develop influencer and creator partnerships, vet a creator before paying them, start or fix a B2B podcast, book podcast guests and guest appearances, write show notes and transcripts, and execute organic social campaigns. Also triggers on: LinkedIn, LinkedIn newsletter, LinkedIn Events, LinkedIn Live, event registration form, subscribe to our newsletter on LinkedIn, marketing consent checkbox, Notify Employees, Twitter/X, YouTube, Reddit, community, influencer, creator partnerships, influencer vetting, engagement rate, fake followers, engagement pods, FTC disclosure, sponsored post disclosure, media kit, social media strategy, organic social, employee advocacy, podcast, podcast strategy, podcast guesting, show notes, audiogram, episode transcript.

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Create an operating policy and roadmap for a live portfolio of Claude Code skills. Use when the user asks to organize, govern, audit, measure, retire, or scale skills already used by a team or repository. Also trigger on "スキルの運用計画", "スキルポートフォリオ", "スキルロードマップ", "スキルを整理して".

Convert a regular/single-user app into a multi-tenant SaaS — add authentication, organizations/teams, role-based permissions (RBAC), plans & billing (Stripe / HYP-היפ / license keys / usage metering), invites and onboarding. Use when the user wants to "turn this into a SaaS", "add login/orgs/teams", "add plans and payments", "add user roles/permissions", "make this multi-tenant", "הפוך לסאאס", "להוסיף התחברות / ארגונים / הרשאות / מסלולים ותשלום".

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Manage MongoDB Atlas Organizations as Azure ARM resources using Azure.ResourceManager.MongoDBAtlas SDK. Use when creating, updating, listing, or deleting MongoDB Atlas organizations through Azure M...

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Use when working with Clerk — clerk authentication and user management platform covering users, sessions, organizations, invitations, and sign-in methods. Use when analyzing user growth, monitoring authentication health, reviewing organization membership, managing Clerk users, or auditing sign-in patterns.

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Guide for organizing MSBuild infrastructure with Directory.Build.props, Directory.Build.targets, Directory.Packages.props, and Directory.Build.rsp. Only activate in MSBuild/.NET build context. USE FOR: structuring multi-project repos, centralizing build settings, implementing NuGet Central Package Management (CPM) with ManagePackageVersionsCentrally, consolidating duplicated properties across .csproj files, setting up multi-level Directory.Build hierarchy with GetPathOfFileAbove, understanding evaluation order (Directory.Build.props → SDK .props → .csproj → SDK .targets → Directory.Build.targets). Critical pitfall: $(TargetFramework) conditions in .props silently fail for single-targeting projects — must use .targets. DO NOT USE FOR: non-MSBuild build systems, migrating legacy projects to SDK-style (use msbuild-modernization), single-project solutions with no shared settings. INVOKES: no tools — pure knowledge skill.

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Agent tool で複数のサブエージェントを並列起動する／エージェントチームを組成する前に、編成パターン（サブエージェント vs エージェントチーム、レビュアー Teammate の要否、各役割のモデル選択）を決定するためのガイドを適用する。トリガー：3 つ以上の Agent を並列起動する／タスク間に依存関係がある／チームメイト同士の相互通信が必要／設計や計画フェーズで複数視点が欲しい／ある成果物を別の成果物がレビュー・参照する構造になる。単発のサブエージェント呼び出しや、依存のない fire-and-forget な並列調査では発火しない。

Write and migrate tests using the Swift Testing framework with @Test, @Suite, #expect, #require, confirmation, parameterized tests, test tags, traits, withKnownIssue, XCTest UI testing, XCUITest, test plan, mocking, test doubles, testable architecture, snapshot testing, async test patterns, test organization, and test-driven development in Swift. Use when writing or migrating tests with Swift Testing framework, implementing parameterized tests, working with test traits, converting XCTest to Swift Testing, or setting up test organization and mocking patterns.

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Memory is the cornerstone of intelligent agents. Without it, every interaction starts from zero. This skill covers the architecture of agent memory: short-term (context window), long-term (vector stores), and the cognitive architectures that organize them. Key insight: Memory isn't just storage - it's retrieval. A million stored facts mean nothing if you can't find the right one. Chunking, embedding, and retrieval strategies determine whether your agent remembers or forgets. The field is fragm

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組織のダッシュボードを更新してブラウザで開く。 「ダッシュボード見せて」「状況を可視化して」「プロジェクト一覧見たい」 「全体像を見せて」等で発動。