「tokens」の検索結果

Design workflow — create design systems, DESIGN.md, and design tokens with anti-pattern enforcement and accessibility checks

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Avalia qualidade UX de um projeto comparando screenshots reais contra a Design Library (24 solucoes + design system). Captura telas via Playwright, pontua aderencia a tokens/patterns, identifica desvios. Produz UX Compliance Report.

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 avoid Adobe-specific anti-patterns: using deprecated JWT auth, not caching IMS tokens, ignoring Firefly content policy, missing async job polling, and leaking p8_ secrets. Real code examples with fixes. Trigger with phrases like "adobe mistakes", "adobe anti-patterns", "adobe pitfalls", "adobe what not to do", "adobe code 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。

Add Google Calendar as an MCP tool (list calendars, list/search/create events, free/busy queries) using OneCLI-managed OAuth. Multi-calendar and multi-account supported. Mirrors /add-gmail-tool's stub pattern — no raw credentials ever reach the container; OneCLI injects real tokens at request time.

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。

Add Gmail as an MCP tool (read, search, send, label, draft) using OneCLI-managed OAuth. The agent gets Gmail tools in every enabled group; OneCLI injects real tokens at request time so no raw credentials are ever in the container or on disk in usable form.

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。

Security-Scanner Agent fuer fabrikIQ und andere Projekte. Fuehrt umfassende Sicherheitspruefungen durch. Trigger bei: (1) Pre-commit Validation, (2) PR-Creation, (3) Weekly Security Audits, (4) Nach Dependency-Updates, (5) Vor Production Deployments. <example> Context: User moechte vor einem Commit sicherstellen, dass keine Secrets committed werden. user: "Ich will gleich committen. Pruefe mal auf Secrets." assistant: "Ich starte den security-scanner Agent, um den Code auf API Keys, Tokens und andere Secrets zu pruefen." <Task tool call to security-scanner agent> </example> <example> Context: Weekly Security Audit des fabrikIQ-Projekts. user: "Fuehre den woechentlichen Security-Scan durch." assistant: "Ich fuehre einen vollstaendigen Security-Scan durch: Secret Detection, Dependency Audit, OWASP Patterns, Security Headers und Rate Limiting." <Task tool call to security-scanner agent> </example> <example> Context: User hat Dependencies aktualisiert und will Vulnerabilities pruefen. user: "Ich habe npm update und pip install -U gemacht. Gibt es Sicherheitsprobleme?" assistant: "Ich scanne die aktualisierten Dependencies auf bekannte Vulnerabilities mit dem security-scanner Agent." <Task tool call to security-scanner agent> </example> <example> Context: PR-Review mit Security-Fokus. user: "Review den PR #42 auf Security-Probleme." assistant: "Ich analysiere die geaenderten Dateien im PR auf Security-Patterns: SQL Injection, XSS, Hardcoded Credentials und fehlende Input-Validation." <Task tool call to security-scanner agent> </example>

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Configures JWT Bearer authentication for .NET APIs. Includes token generation, validation, refresh tokens, and user context extraction from claims.

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。

Triage a GitHub issue that already has the cc-issue-created label and is assumed ready to start. Inspect the comment history first to decide whether human confirmation is needed (cc-need-human-check, highest priority — reserved for issue-level deadlock, or for confirmation items answer-issue-questions already investigated and explicitly marked unanswerable); otherwise close the issue as not needed, delegate unanswered confirmation items in the last comment or the description to answer-issue-questions (cc-answer-issue-questions), refresh a description stale relative to settled comment-history content (cc-update-issue), or move to execution (cc-exec-issue). Any UI-changing issue is routed to the design-first flow (cc-create-ui-design) before execution; the exceptions are an issue whose description already names the .pen design to implement against, and a minor UI change that introduces no new visual decision (no new screen/section, no layout change, no new reusable component, no visual expression outside existing design tokens/components). Design files are never edited in the implementation PR. Dependency checks are out of scope.

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。

Check whether a Playwright, Puppeteer, Selenium or CDP-driven browser presents a coherent fingerprint, using liarjs as a library against a Page you already have - navigator.webdriver, HeadlessChrome tokens, worker versus main-thread identity, patched-API integrity, WebGL versus WebGPU GPU identity. Use when asked whether an automated browser looks like a normal one, when a headless setup or a stealth plugin's effect needs measuring rather than assuming, or when an assertion on fingerprint quality belongs in a test suite.

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Ultra-compressed communication mode. Cuts token usage ~75% by speaking like caveman while keeping full technical accuracy. Supports intensity levels: lite, full (default), ultra, wenyan-lite, wenyan-full, wenyan-ultra. Use when user says "caveman mode", "talk like caveman", "use caveman", "less tokens", "be brief", or invokes /caveman. Also auto-triggers when token efficiency is 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 implementing authentication, authorization, JWT tokens, security filters, password encoding, or any Spring Security configuration. Covers stateless JWT auth, token rotation, RBAC, and method-level security.

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Tools are how AI agents interact with the world. A well-designed tool is the difference between an agent that works and one that hallucinates, fails silently, or costs 10x more tokens than necessary. This skill covers tool design from schema to error handling.

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Convert human-written CLAUDE.md into AI-native structured-label format. Battle-tested across 4 models. Same rules, fewer tokens, higher compliance.

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Access the Firebase Emulator Suite (Firestore, Auth, Functions, Hub) via REST and Admin SDK without trial-and-error. Use this skill whenever you read/write/query/clear Firestore Emulator data, create test users or obtain ID tokens from the Auth Emulator, verify Functions triggers, seed/export emulator data, or hit unexpected 403/404 from an emulator endpoint. Consult it BEFORE curling any emulator port — it encodes the auth header and host-resolution rules that otherwise cause retries.

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Canonical UI/UX best practices ruleset with 14 sections and 70+ rules prioritized P0–P3. Use when implementing, reviewing, or auditing UI components. P0 rules are mandatory — violations are bugs. All rules reference tokens from ui-theme-reference.

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Skill for analyzing a project's existing UI in Vue. Activates when the user uses /pwdev-uiux:scan or asks to "analyze the project UI", "map existing components", "understand project patterns", or "create project skill". Generates .planning/ui/project-ui-skill.md with project-specific patterns and tokens.

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Canonical design token registry — colors, typography, spacing, sizing, border radius, shadows, z-index, breakpoints, motion, and focus tokens. Used by ui-best-practices rules and all agents that implement or review UI components. Includes CSS variable template for quick project setup.

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Authoritative resource for building, auditing, and improving GNOME GTK4/libadwaita apps. Design tokens, 42-widget component library, 21 pattern skills, 47 mirrored HIG pages, 34 real-app audits, and lint scripts. Use when building a GNOME app, adding GNOME GUI features, auditing HIG compliance, packaging for Flatpak/Flathub, or when the user mentions GTK, libadwaita, Adw, Blueprint, or GNOME HIG.

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Implement comprehensive security patterns to protect applications against OWASP Top 10 vulnerabilities including XSS, CSRF, SQL injection, authentication bypass, and data exposure. Use when handling user data, implementing authentication and authorization, validating input, encrypting sensitive data, preventing injection attacks, securing API endpoints, managing sessions and tokens, implementing rate limiting, configuring security headers, or building security-critical features that require defense-in-depth protection.

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Cross-model benchmark for gstack skills. Runs the same prompt through Claude, GPT (via Codex CLI), and Gemini side-by-side — compares latency, tokens, cost, and optionally quality via LLM judge. Answers "which model is actually best for this skill?" with data instead of vibes. Separate from /benchmark, which measures web page performance. Use when: "benchmark models", "compare models", "which model is best for X", "cross-model comparison", "model shootout". (gstack) Voice triggers (speech-to-text aliases): "compare models", "model shootout", "which model is best".

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 a set of design samples (HTML mockups + website URLs) and produce a structured style guide that anchors the rest of the stardust redesign pipeline. Use when the user supplies reference designs ("design samples", "mockups", "inspiration sites", "style references") and wants to extract a consistent visual language — type system, color palette, spacing, motion, and reusable component patterns — before redesigning a target site. Triggers on phrases like "distill these samples", "extract a style guide from these examples", "use these as design references", or "analyze these mockups". Outputs a `trait-matrix.json` (structured per-sample + cross-sample design tokens) and a `SAMPLES.md` narrative brief that `stardust:direct` reads under Mode B (anchor-reference precedence) when picking a redesign direction.

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Generate comprehensive technical documentation for developers taking over an AEM Edge Delivery Services project. Analyzes codebase structure, custom implementations, design tokens, and produces a complete developer guide.

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。

Ultra-compressed communication mode. Cuts token usage ~75% by dropping filler, articles, and pleasantries while keeping full technical accuracy. Use when user says "caveman mode", "talk like caveman", "use caveman", "less tokens", "be brief", or invokes /caveman.

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。

HTML -> UCUF (Cocos Creator UI) conversion skill. Use for turning a complete HTML source package with ui-design-tokens.json and colors_and_type.css into Cocos usable layout/skin/screen JSON, then validating with rule guard, visual fidelity risk, runtime interaction smoke, Cocos Editor final gate, and regression evidence.

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。