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Found 9,229 Skills
Retrieve ESG ratings and scores using Octagon MCP. Use when analyzing Environmental, Social, and Governance ratings, MSCI ESG ratings, Sustainalytics risk ratings, industry ESG rankings, and sustainability metrics for any public company.
Performs automated static analysis of Android applications using Mobile Security Framework (MobSF) to identify hardcoded secrets, insecure permissions, vulnerable components, weak cryptography, and code-level security flaws without executing the application. Use when assessing Android APK/AAB files for security vulnerabilities before deployment, during penetration testing, or as part of CI/CD security gates. Activates for requests involving Android static analysis, MobSF scanning, APK security assessment, or mobile application code review.
Color science expert skill with 286K words of reference material covering OKLCH/OKLAB, palette generation, accessibility/contrast, color naming, pigment mixing, and historical color theory.
Jungle Scout Keyword Expansion Tool: Expands a seed keyword into a list of related keywords with data such as search volume, trends, PPC bids, ranking difficulty, etc., covering 10 Amazon marketplaces including the US, UK, Germany, Japan, etc. This skill is triggered when users mention keyword expansion, keyword mining, long-tail keyword mining, related keywords, keyword suggestions, keyword expansion, PPC bid research, keyword competition, keyword discovery, Jungle Scout keywords, or terms like keyword expansion, keyword discovery, keyword scout, related keywords, long-tail keywords, keyword suggestions, PPC bid research, keyword competition, seed keyword expansion, keyword mining. Even if users do not explicitly mention "Jungle Scout", this skill should be triggered as long as their needs involve finding more related keywords and their metrics such as search volume and competition starting from a seed keyword.
Integrates Clerk authentication into React Native Expo apps using @clerk/clerk-expo. Covers ClerkProvider setup, secure token caching (expo-secure-store), Expo Router/React Navigation auth guards, custom sign-in/sign-up flows (email/password + email codes), SSO/OAuth (useSSO), Sign in with Apple (useSignInWithApple), biometrics (useLocalCredentials), offline support, and production deployment allowlisting. Use when the user mentions Clerk + Expo, @clerk/clerk-expo, Expo Router auth, SSO/OAuth redirects, or deploying Clerk in a mobile app.
Behavioral finance application framework — identify cognitive biases in markets (overreaction, underreaction, disposition effect, anchoring, herding), translate them into quantifiable trading signals (momentum / reversal), and assess whether current market sentiment shows systematic bias. Triggers: "行为金融", "认知偏差", "过度反应", "反应不足", "处置效应", "锚定效应", "羊群效应", "市场情绪偏差", "行為金融", "認知偏差", "過度反應", "反應不足", "處置效應", "錨定效應", "羊群效應", "behavioral finance", "cognitive bias", "overreaction", "underreaction", "disposition effect", "anchoring bias", "herding", "sentiment bias", "behavioral economics".
Biome formatting, import style, strict TypeScript, naming (including React file names), or generated files.
[QianWen] Recommend the best Qwen model and parameters. TRIGGER when: choosing between Qwen models, comparing Qwen model pricing, understanding Qwen model capabilities, checking usage or billing, viewing cost history, when an execution skill needs model selection advice, or user explicitly invokes this skill by name (e.g. use qianwen-model-selector). DO NOT TRIGGER when: non-Qwen model discussions (OpenAI, Gemini, etc.), general AI questions unrelated to Qwen.
Protocol and DeFi risk evaluation covering hack history, oracle dependencies, treasury health, TVL concentration, and yield sustainability. Use when the user asks "is X safe", "how risky is", protocol security, risk analysis, or wants to evaluate risk before investing or depositing funds.
Agent skill that audits vibe-coded apps for common security vulnerabilities introduced by AI coding assistants
Mid-conversation reflection skill that pauses execution and zooms out from detail-mode to honestly reassess direction, assumptions, and bias. Use when the user says 'reflect', 'take a step back', 'step back', 'zoom out', 'are we missing something', 'bigger picture', 'sanity check this', 'are we on track', 'are we overthinking this', 'forest for the trees', or any variation signaling intent to break out of detail-mode and reassess. Also trigger when the conversation has gone deep on implementation details without strategic check-in, or when the user shows signs of being stuck — that's often a signal the framing needs a reset, not more detail work. Intentionally low-intake: runs the 5-dimension analysis immediately when prior context is rich enough; asks one forcing clarifier only when invocation context is too thin to reassess from.
Premium A+ and Brand Story — module design, lifestyle imagery, comparison charts, mobile optimization