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Production-ready scripts for Android app testing, building, and automation. Provides semantic UI navigation, build automation, log monitoring, and emulator lifecycle management. Optimized for AI agents with minimal token output.
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Expert guidance on using Coil for image loading in Jetpack Compose. Use this when asked about loading images from URLs, handling image states, or optimizing image performance in Compose.
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Authoritative rules and patterns for production-quality Kotlin Coroutines onto Android. Covers structured concurrency, lifecycle integration, and reactive streams.
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Best practices for building UI with Jetpack Compose, focusing on state hoisting, detailed performance optimizations, and theming. Use this when writing or refactoring Composable functions.
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Guidance on implementing the Data Layer using Repository pattern, Room (Local), and Retrofit (Remote) with offline-first synchronization.
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Audit and improve Jetpack Compose runtime performance from code review and architecture. Use when asked to diagnose slow rendering, janky scrolling, excessive recompositions, or performance issues in Compose UI.
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Guide and execute the migration of asynchronous code from RxJava to Kotlin Coroutines and Flow. Use this skill when a user asks to convert RxJava (Observables, Singles, Completables, Subjects) to Coroutines (suspend functions, Flows, StateFlows).
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Design deliberately flawed examples that develop error-detection skills and deepen understanding. Use when students make characteristic errors and need practice spotting mistakes.
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Converts a proven, repeated professional workflow into a portable and inspectable AI Skill with clear triggers, inputs, steps, outputs, verification, recovery, and limits. Use when a user asks to make a workflow reusable, package a process as a Skill, or preserve a successful multi-step method. Do not use for speculative processes that have not been performed or concretely specified.
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Reviews public or shared AI-backed web endpoints for abuse, excessive cost, data exposure, unsafe browser control, weak request limits, and missing human approval. Use before launching or materially changing an HTTP or API endpoint that can invoke an AI model. Do not use as a penetration test, compliance certification, or substitute for runtime monitoring and professional security review.
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Transforme un modèle juridique (.docx ou .odt : contrat, conclusions, assignation, courrier type, procès-verbal…) en formulaire HTML autonome, exécuté hors ligne, qui produit sans IA le document complété, fidèle au modèle, dans son format d'origine : parties optionnelles et alternatives, listes répétées, accords, montants et dates en lettres, calculs, numérotation et renvois. Déclencher dès que l'utilisateur veut « transformer ce modèle en formulaire », « automatiser un modèle », un « modèle à remplir » ou un « générateur d'actes », réutiliser régulièrement un contrat ou une trame, ou demande « fais-moi un modèle de … à remplir » ; aussi pour faire évoluer un formulaire tabellion existant. Pas pour compléter une seule fois un document. Compétence créée par Christophe Quézel-Ambrunaz, Université Savoie Mont Blanc (V.1.1).
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Analyze a U.S. Supreme Court oral argument transcript for a lawyer who has not read it: each advocate's position, authorities discussed, the bench's concerns, tentative judicial leanings, possible dispositions, and advocacy strengths and weaknesses, with transcript pinpoints. Use for oral argument analysis, a SCOTUS argument report, or an assessment of how the justices approached a case. Requires readable transcript content; research, Python tallying, and document creation are optional, with disclosed fallbacks.
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Use when an application or system — including one built quickly with AI coding agents — needs a security review with regulatory grounding: a STRIDE threat model, a LINDDUN privacy threat model, a dependency exposure screen against live CVE / CISA-KEV / EPSS data, or a selected, non-exhaustive screen of which EU security obligations (GDPR, NIS2, Cyber Resilience Act, AI Act) may apply and which need determination. Orchestrates the server-enforced threat-modeling workflows of the Ansvar Gateway MCP connector and grounds every regulatory statement in officially published text fetched at answer time — scope, role, and application-date limits stated, never a compliance verdict. Never simulates a workflow and never answers legal questions from model memory.
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Conseiller expert en conformité PCI DSS v4.0.1 (seule version active depuis le 31 décembre 2024). Utiliser pour toute question sur PCI DSS, la sécurité des paiements par carte, les données de titulaires, le périmètre du CDE, les types de SAQ (A, A-EP, B, B-IP, C, C-VT, P2PE, D), le ROC, l'AOC, les évaluations QSA, les scans ASV, les niveaux de marchands et de prestataires, la segmentation réseau, les tests d'intrusion, la tokenisation, le chiffrement du PAN, ou l'une des 12 exigences. Couvre la révision SAQ A de janvier 2025 (critère d'éligibilité r1, FAQ 1588), les exigences v4.0 obligatoires depuis le 31 mars 2025, et l'articulation avec DSP2, RGPD, NIS2 et DORA via les connecteurs MCP LibreJustice et EUR-Lex. Déclencheurs : « sommes-nous conformes PCI ? », « quel SAQ s'applique ? », « qu'est-ce qui a changé en v4.0 ? », « comment préparer un audit QSA ? ».
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Use when a security incident, data breach, or actively exploited vulnerability raises the question "who must we notify, where, and by when?" Screens one incident across the EU reporting regimes — NIS2, GDPR, DORA, and the Cyber Resilience Act — determines which duties fire for each involved entity's roles, resolves the receiving authority per regime and member state from served national law, and produces a deadline table in which every duty, authority, and deadline is cited from official publisher text fetched live through the Ansvar Gateway MCP connector. Never answers from model memory.
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Organize document evidence into auditable competing hypotheses, source-linked observations, an assessment matrix and document-linked discriminating tests. Use for bounded explanatory questions, documents that could resolve uncertainty, rejection history, source provenance, gaps and updates, including a withdrawn or corrected fact and which explanations and earlier judgments it puts back under review; not findings of guilt or predictions about people. Evaluation preview requiring human review.
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Reviews whether an AI-assisted Word or DOCX workflow preserves the original, tracked changes, comments, numbering, sections, edit identity, document structure, save/verify cycles, and professional review. Use before relying on a DOCX that an AI tool read, edited, redlined, reformatted, or generated. Do not use as a legal review of the document's substance or as proof that every rendering defect was detected.
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Expertise complète pour produire une fiche d'arrêt ou un commentaire de décision en droit administratif français (méthode Faouzi El Ouertani, 7 rubriques + plan binaire critique). Vérification systématique des décisions et textes cités via le MCP LibreJustice (https://librejustice.fr/mcp/) et les connecteurs Légifrance. Déclenché par « fiche d'arrêt », « commentaire d'arrêt », « commentaire de décision », « analyse de décision » en droit administratif.
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Public-safe preliminary screen for challenges to the impartiality of an AI evaluator, LLM-as-a-judge, decision-support agent, or adjudicative system based on prior outputs, suspected bias, unstable reasoning, or self-reinforcing memory. Use when asked whether an AI should be recused, disqualified, replaced, audited, or escalated. Does not decide real cases or claim that human judicial-recusal doctrine automatically applies.
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Orchestrateur multi-rôles en droit du travail français (salarié, employeur, audit, conseil, veille, formation). Charger pour toute consultation prud'homale, rédaction d'actes (non-concurrence, transaction, avertissement), audit de contrat ou d'accord d'entreprise, calcul d'indemnités, conformité CCN, CSE, CDD, harcèlement, temps de travail, veille chambre sociale ou audit social, avec traçabilité obligatoire des sources.
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Screens AI Skills, MCP servers, plugins, and agent tools before installation or activation using provenance, static inspection, least privilege, version pinning, and PASS/REVIEW/BLOCK decisions. Use when a user asks whether an agent capability is safe, wants to install a Skill or MCP, reviews a marketplace or GitHub artifact, or reassesses a changed capability. Do not use as an antivirus guarantee, a runtime sandbox, or a substitute for professional incident response.
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Citable builds an interactive cite-checking table for US court filings (briefs, memoranda, petitions, declarations, etc.). Every citation links to its pinpoint location in the record exhibit, the case (CourtListener), the statute (Cornell LII) or the treaty (flagged where one cannot be located), with a status and a note field per citation for the reviewer to fill. When the filing is revised, citable rebuilds the table, flags citation-related changes and carries the saved review forward. Use when the user asks to cite-check, build a citation table, link a brief's citations, or update a table for a revised draft.
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Use when a user asks what the EU Cyber Resilience Act (CRA) means for their product, whether and when they must report a vulnerability or incident, or what a specific CVE triggers legally. Maps a product with digital elements to CRA scope, product classification, Annex I vulnerability-handling duties, and Article 14 reporting obligations — every legal claim cited from official regulation text fetched live through the Ansvar Gateway MCP connector, joined with live CVE / CISA-KEV / EPSS vulnerability intelligence from the same connector.
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Pick the right LLM for LEGAL TRANSLATION — translating contracts, statutes, case law, and legal correspondence across languages, including Arabic/MENA. Vendor-neutral routing triangulated from mid-2026 evidence (WMT25 human eval, SwiLTra-Bench legal-MT, multilingual-reasoning proxies, ArabLegalEval). There is NO clean legal-translation leaderboard, so this vertical is directional and treats human legal-linguist review as mandatory. Asks up to 4 quick questions (language pair, cost, speed, privacy/certification), then recommends a primary model + fallback + what to avoid + what a human must verify. Use when someone asks "which model to translate this contract/statute", "best AI for legal translation", "translate this legal doc to/from Arabic", or is about to machine-translate legal text without a fixed model.
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。