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概要と使いどころ
Uses the chrome-devtools-axi CLI for browser automation, accessibility-tree snapshots, console and network inspection, screenshots, Lighthouse audits, and performance traces. Use when interacting with Chrome from the shell, especially when the user mentions chrome-devtools-axi, AX snapshots, browser debugging, or DevTools automation from the command line.
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Run an extremely strict maintainability review for abstraction quality, giant files, and spaghetti-condition growth. Use for a thermo-nuclear code quality review, thermonuclear review, deep code quality audit, or especially harsh maintainability review.
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。
Knowledge base from the DoD Manufacturing Readiness Level (MRL) Deskbook (Version 2022, OSD ManTech / Joint Service–Industry MRL Working Group). Use for assessing and managing manufacturing maturity and producibility risk in defense acquisition: the 10-level MRL scale and its non-linear, target-not-grade nature; the five demonstration environments (laboratory → production-relevant → production-representative → pilot line → production line); the nine manufacturing-risk threads and sub-threads; how MRL targets map onto Adaptive Acquisition Framework milestones (MRL 4/6/7/8/9); conducting an MRL Assessment; building a Manufacturing Maturation Plan; putting MRL maturity into contract language (Section L/M, SOW, AS6500A, DIDs); tailoring criteria for S&T, single-system, ship, sustainment, and industry contexts; and screening operational-technology cybersecurity. Manufacturing-readiness focused — it measures producibility risk and frames mitigation; it is NOT a technology-readiness (TRL) guide, a full systems-engineering process model, a cost-estimating or schedule guide, or a deep cybersecurity audit method (see sibling packs for those).
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Knowledge base from the GAO Cost Estimating and Assessment Guide (GAO-20-195G). Use for program cost estimating: the four characteristics of a reliable estimate (comprehensive, well documented, accurate, credible) and the 18 best practices; the 12-step cost estimating process (purpose, plan, technical baseline, WBS, ground rules and assumptions, data, point estimate, sensitivity, risk/uncertainty, document, present, update); estimating methods (analogy, parametric, engineering build-up, learning curves); Monte Carlo risk/uncertainty analysis, confidence levels and contingency; auditing and validating an estimate against the characteristics; earned value management (EIA-748, BCWS/BCWP/ACWP, CPI/SPI/TCPI, EAC, PMB, IBR); and specialized techniques (software cost estimating, learning curves, Analysis of Alternatives, WBS templates, the Green Book internal-control framework). This is the cost-estimating companion to the GAO Schedule and Technology Readiness Assessment guides. Does not cover schedule estimating/risk in depth (see the GAO Schedule Assessment Guide), agency-specific cost models, or the full text of referenced standards (EIA-748, MIL-STD-881D, the Green Book) — these are named, not reproduced.
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。
Knowledge base from the GAO Agile Assessment Guide (GAO-24-105506, 2023). Use for assessing and managing Agile software development in federal programs: the Agile Manifesto and framework family (Scrum, Kanban, XP, SAFe, DA, DSDM, Lean, DevOps); the three adoption perspectives (team dynamics, program operations, organization environment); requirements decomposition (epics, features, user stories, INVEST, MoSCoW, definition of done); Agile-aware federal contracting (FAR, modular contracting, SOO/PWS/SOW, product owner vs. COR); program monitoring and control (WBS, cost, schedule, EVM at the feature level); Agile metrics (velocity, lead/cycle time, CFD, burn charts); and the auditor's key-question bank. Oversight- and acquisition-oriented: it tells you how to *assess and govern* Agile programs, not how to code. Thin on hands-on engineering practice, deep cost/schedule checklists (see gao-cost, gao-schedule), and any non-US-federal context.
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。
Knowledge base from the DoD Systems Engineering Guidebook (OUSD R&E, February 2022). Use for the DoD SE process model — the 16 SE processes (8 technical management + 8 technical) mapped to ISO/IEC/IEEE 15288, the event-driven technical reviews and audits across the Major Capability Acquisition life cycle (ASR, SRR, SFR, PDR, CDR, SVR/FCA, PRR, PCA), the Systems Engineering Plan (SEP), risk/issue/opportunity management, TPMs and leading indicators, system-of-systems and digital engineering, and the 24 design considerations (RAM, system safety, HSI, system security engineering, MOSA, supportability, etc.). Acquisition-program oriented: thin on detailed cost estimating, contracting law, and non-DoD or commercial life cycles.
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Protocolo para crear, publicar, lanzar, auditar y mantener repositorios de GitHub de forma segura: verificar reglas locales y bloqueos, crear .gitignore antes del primer git add, realizar verificaciones de privacidad, preparar README/i18n/banner/metadatos, verificar etiquetas de release y lanzamientos de GitHub, y actualizar perfiles de organización, archivos llms.txt y enlaces a registros.
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。
Parallel geführte Sprachfassungen eines Dokuments (Paper DE/EN, README + README_de, SKILL.md + SKILL.en.md, Website-Texte) synchron halten: fehlende Fassung nachziehen, Abschnitts-Parallelität prüfen, Divergenzen beheben — mit klarer Leitsprache-Regel und kontrolliertem Rücktransfer, wenn die Nebenfassung etwas besser löst. Nutze diesen Skill bei „sind DE und EN synchron?", „zieh die englische/deutsche Version nach", „Übersetzung ist veraltet", bei zweisprachigen Papers/READMEs/Skills, oder als periodischen Check über einen Dokumentbestand. Enthält auch das Expansions-Audit: bewerten, ob ein Projekt/Dokument WEITERE Sprachen verdient (i18n-Eignung nach Zielgruppe, technische Vorbereitung, kein blindes Massenübersetzen).
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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.
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Pflege-Skill, der die Skill-Familien aktuell hält, ohne den vollen skill-explorer-Audit zu fahren. Nutze diesen Skill, wenn ein neuer Skill der richtigen Familie zugeordnet, ein Familien-Header-Router nach einer Familienänderung nachgezogen oder ein verwaister Router entfernt werden soll. Auch auslösen bei „Familien pflegen", „neuen Skill einer Familie zuordnen", „Router aktualisieren", „Familien-Header setzen/entfernen".
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。
Erstellt oder überarbeitet einen Skill FÜR DIESES ÖKOSYSTEM: delegiert die generische Interview-/Entwurfs-/Eval-Schleife an das offizielle skill-creator-Plugin (Anthropic, Apache-2.0), setzt aber zusätzlich die ellmos-Anforderungen durch, die das offizielle Plugin nicht kennt — Haus-Frontmatter (9 Felder), Kategorie/Sichtbarkeits-Regeln, anbieter-/nutzer-/ellmos-neutrale aber ellmos-sensitive Erkennung via grounding-seed, mitgelieferte config.json (inkl. Lernvertrag) + connections.json, Anbieter-/Vendor-Bewusstsein (State-of-the-Art-Alternativen inkl. eigener ellmos-Komponenten vorschlagen), einen Selbstaktualisierungs-Abschnitt UND einen wiederverwendbaren Lern-/Abdeckungs-Dateisatz (user-usecases.json, usecase-gaps.json, known-providers-and-abilities.json, gap-closing-analysis.json — an skill-creators evals.json und A2A/AgentSkill angelehnt, kein Parallelstandard). IMMER nutzen, wenn ein NEUER Skill für dieses System entstehen oder ein bestehender auf ellmos-Konformität nachgerüstet werden soll — auch bei "erstelle einen Skill", "bau mir einen Skill für X", "skill-creator nutzen", "neuen Skill anlegen", "diesen Skill ellmos-konform machen", "Lernvertrag/Verhaltenscodex für einen Skill anlegen", "Usecase-Abdeckung eines Skills prüfen". Für reines Skill-FINDEN/ROUTEN stattdessen skill-finder, für Landschafts-Audit skill-explorer.
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。
Baut aus einem Chatverlauf oder aus bestehenden Automatisierungs-Prompts (z. B. eines anderen Agenten-Systems) eine selbstlaufende, user-neutrale Workflow-Automatisierung: einen wiederkehrenden Prompt bzw. Automations-Skill für Cron/Schedule/Loop. Alias: automations-extractor. Nutze diesen Skill bei „mach daraus eine Automatisierung", „das soll regelmäßig/nächtlich laufen", „extrahiere Workflows aus diesen Chatverläufen/Automationen", „Automation aus dieser Session bauen", oder bei `/workflow-extract`. Ergänzt fehlende Automations-Bausteine (Rotations-Auswahl, Check-Registry, Idempotenz, Log-Hygiene, Freigabe-Gate, Eskalations-Handoff, Monitor-Meldedisziplin) systematisch. Enthält auch den Fleet-Audit-Modus: bestehende Automations-Flotten auf Silent-Failures, Redundanz, Drift und Lücken prüfen („prüfe meine Automatisierungen/Scheduled Tasks/Cron-Jobs"). Soll stattdessen ein abrufbarer Skill (Fähigkeit auf Zuruf) entstehen, den Schwester-Skill skill-extractor nutzen.
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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.
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。
Protocol for safely creating, publishing, releasing, auditing, and maintaining GitHub repositories: check local rules and locks, create .gitignore before the first add, run privacy checks, prepare README/i18n/banner/metadata, verify release tags and GitHub releases, and update organization profiles, llms.txt files, and registry links.
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。
Produces a draft controls and gap pack from a requirement, regulation, standard or policy and the organisation's control descriptions: obligations broken out of the source text, the controls that appear to address each, apparent coverage, gaps, questions for control owners and actions to assess. Never concludes compliance or that a control is effective; owners and audit assess. Use when the user asks to "map this regulation to our controls", "run a controls gap analysis", "break this standard into obligations" or "where is our control coverage thin". Do not use for comparing a policy document against a standard, use policy-gap-review instead; to draft evidence requests from the mapped controls, use control-evidence-request-pack. Drafts for human review; never approves, authorises or signs off.
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。
Builds a DRAFT month-end, quarter-end or year-end close checklist and status table for a finance team from the close calendar, the open items list and last month's close issues that the user attaches, pastes or the agent can reach, marks every task on time, due, late, at risk or blocked, and flags dependency chains and repeat issues. Use when the user asks to "build the close checklist", "where are we on the month-end close", "what is late or blocked in the close", "refresh the close tracker as of today" or "prepare the close status note". Do not use for a project tracker or weekly project status, use project-status-tracker instead; for corrective actions from audits or NCRs, use corrective-action-tracker. Drafts for human review; never approves, authorises or signs off.
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。
Reads a purchase order extract (spreadsheet, CSV or pasted table) and returns a DRAFT question sheet for the buyer: possible split orders, round amounts, amounts just under an approval threshold, first-seen or near-duplicate vendors, duplicate orders and missing or self approvals, each a neutral question naming the PO numbers, never a finding. Use when the user asks to "review these purchase orders", "screen the PO log", "spot anomalies in this spend extract", "sanity-check the PO register" or "prepare buyer questions before the audit". Do not use for an expense claim or travel request checked against policy, use expense-policy-precheck instead. Drafts for human review; never approves, authorises or signs off.
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Sweeps a SharePoint library listing (an export or a listing the agent can reach, with file name, link, review-date column and owner column) for documents past their review date and returns a dated DRAFT review sweep report (Overdue, Due soon, No review date, Summary) plus one ready-to-paste reminder per document owner for the user to send. Never changes metadata, sends a message or invents a document, date or owner. Use when the user asks to "find the documents past their review date", "run the review sweep on the policies library", "which documents are overdue for review", "audit the review dates in this library export" or "draft reminders to owners about stale documents". Do not use for duplicate, conflict and ownership checks across knowledge files, use knowledge-base-hygiene-review instead; for gaps in an engineering deliverables register, use master-document-register-check. Drafts for human review; never approves, authorises or signs off.
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。
Builds a DRAFT board paper skeleton from the sponsor's inputs: purpose, recommendation as the sponsor states it, options including do nothing, risks, financials exactly as provided, authority to decide and the decision sought, with every claim tagged evidenced, asserted or UNKNOWN so the sponsor sees what still needs support. Use when the user asks to "draft a board paper", "structure the committee paper", "prepare the decision paper for the investment committee", "skeleton the board memo" or "what goes in the paper for the audit committee". Do not use for a pre-read or briefing pack with no resolution sought, use executive-briefing-pack instead; to record a decision already taken in a discussion, use decision-memo-builder. Drafts for human review; never approves, authorises or signs off.
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。
Find bugs, security vulnerabilities, and code quality issues in local branch changes. Use when asked to review changes, find bugs, security review, or audit code on the current branch.
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Audit and repair a kohya-style LoRA dataset before training. Use when the user asks to check, validate, inspect, fix, clean, 体检, or 修 a dataset, captions, or tags. Inspect image count, repeats and step budget, resolution and aspect buckets, duplicates, corrupt or non-RGB images, missing or empty captions, trigger consistency, and tag-frequency hygiene. Return a structural PASS, WARN, or FAIL report and apply only confirmed fix_dataset.py actions, dry-run first with displaced originals quarantined.
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Resolve complex or high-impact problems when the cause, solution path, requirements, or proof boundary is genuinely uncertain. Use when work needs evidence-led diagnosis, consequential design or implementation, or a completion audit; do not trigger merely because work has multiple steps, or for simple facts, fully specified routine changes, or pure creative generation.
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- Check and interpret data-breach exposure for an email, username, phone or name using Have I Been Pwned, the Pwned Passwords k-anonymity range API, DeHashed, IntelX and Snusbase. Use when checking breach or leak exposure, finding which services an account was registered with, interpreting a combolist or credential dump, assessing credential compromise, or auditing your own leaked personal data
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Audits a website codebase and makes code changes so AI engines (ChatGPT, Claude, Perplexity, Google AI Overviews) can better discover, parse, quote, and cite the site. Covers structured data, content structure, technical signals, and freshness.
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。