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概要と使いどころ
Create distinctive, production-grade frontend interfaces with high design quality. Use this skill when the user asks to build web components, pages, artifacts, posters, or applications (examples include websites, landing pages, dashboards, React components, HTML/CSS layouts, or when styling/beautifying any web UI). Generates creative, polished code and UI design that avoids generic AI aesthetics.
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。
Generate tailored SaaS and product marketing ideas across organic, paid, community, partnerships, product-led growth, retention, and launch channels. Use when the user asks for `/marketing-ideas`, marketing brainstorms, launch ideas, channel ideas, growth tactics, or a prioritized marketing plan.
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。
General workflow for auditing ML CI failures, experiment regressions, training run failures, golden metric failures, and telemetry-backed ML work-product claims from local repositories, logs, metrics, configs, and artifacts. Use when Codex needs to decide whether an ML failure is a model/convergence issue, correctness bug, data/config issue, infrastructure/runtime issue, evaluation/gating policy issue, or unsupported claim, and produce structured evidence-backed outputs.
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。
Use when creating or drafting DLS (Lumen team) Jira tickets: a bug, a task, or an epic broken down from a tab of the Lumen scope spreadsheet. Holds the DLS project conventions (title prefix, issue types, epics, labels) and the ticket templates. Also the source of truth for finding the current sprint's tickets.
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。
Generate a weekly changelog entry from git history, filtering operational noise and producing editorial summary, field notes, statistics, and a bounded commit manifest. Stops for review unless commit was explicitly requested.
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。
Use when building or styling a component in libs/ui-react or libs/ui-rnative — the cross-platform styling principles, plus routing to the platform mechanics: Tailwind + cva + cn on web, useStyleSheet + themeJS + lx on React Native. Load this before writing component styles.
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。
Use when implementing or updating a component from a Figma link — how to turn the Figma design variables into code tokens, on both platforms: Tailwind classnames for libs/ui-react and themeJS (`t.*`) paths for libs/ui-rnative. For the full token catalogues and styling mechanics, see component-styling.
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。
Execute commands and binaries on remote Windows systems utilizing PsExec and SMB/RPC mechanisms. This skill details the mechanics behind tools like Sysinternals PsExec, Impacket's psexec.py, and their role in lateral movement via hidden administrative shares.
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。
Advanced prototype pollution playbook — server-side RCE, client-side gadgets, filter bypasses, and detection techniques. Companion to ../prototype-pollution/ for basics. Use when you've confirmed pollution and need to escalate to code execution or find framework-specific gadgets.
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。
Detects authentication and biometric bypass vulnerabilities in mobile apps (Android/iOS). Trigger on: BiometricPrompt, LocalAuthentication, LAContext, evaluatePolicy, CryptoObject, Android Keystore, Secure Enclave, kSecAccessControlBiometryCurrentSet, userAuthenticationValidityDurationSeconds, confirmCredentials, biometric fallback, PIN bypass, passive authentication, enrolled biometrics detection, Frida hook auth, jailbreak bypass, TouchID, FaceID, fingerprint. Covers MASVS-AUTH-1/2/3.
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。
Analyze and detect synthetic media, including deepfake videos, AI-generated images, and cloned voice audio. Use this skill when investigating potential disinformation campaigns, verifying the authenticity of digital evidence, or assessing social engineering attacks leveraging synthetic media (e.g., vishing with voice clones, spear-phishing with deepfake video calls). Covers artifact analysis, frequency detection, metadata tracing, and automated detection tools.
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。
Identify and exploit OS Command Injection vulnerabilities where web applications insecurely pass user input into system shell commands. Use this skill when applications feature ping utilities, file conversions, network diagnostics, or PDF generators to execute arbitrary system commands and achieve Remote Code Execution (RCE).
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。
Understand the mechanics of Border Gateway Protocol (BGP) Hijacking, where an attacker creatively manipulates Internet routing tables to intercept, monitor, or drop massive volumes of network traffic destined for legitimate Autonomous Systems (AS).
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。
Build HTML emails that render everywhere: table layouts, MJML, dark mode, testing, and deliverability basics. Use for transactional and marketing email.
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。
Craft UI animations with Framer Motion: page transitions, micro-interactions, scroll reveals, and shared layouts for polished interfaces. Use for interface animation beyond basics.
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。
Teach models new tasks from a handful of examples — prompting strategies, example selection, and in-context learning mechanics.
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。
Build financial models — revenue forecasts, unit economics, scenario analysis, and investor-grade spreadsheets.
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。
Density functional theory calculations end to end — structure relaxation, convergence, band structures, and defect energetics.
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。
Analyzing contact tracing data — network reconstruction, transmission chains, and evaluating tracing performance.
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。
Create comics and graphic narratives with panel flow, lettering, pacing, and visual storytelling.
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。
Analytics engineering with dbt — models, tests, and modular SQL pipelines — use when building or maintaining dbt projects.
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。
Datadog guidance — APM, logs, metrics, monitors, SLOs, dashboards, and cost control on the Datadog platform.
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。
Crystal structure fundamentals — lattices, space groups, Miller indices, and reading crystallographic data correctly.
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。
Design content strategies — audience research, pillar topics, editorial calendars, and measurement frameworks that tie content to revenue.
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。