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Found 10,823 Skills
Complete skill for the Analyzify Shopify analytics and tracking app. Covers all Analyzify MCP features and workflows. Trigger when the user wants to: check store info, view workspace details, query Google Analytics 4 data, run GA4 reports, check GA4 traffic, query Google Search Console data, view search performance, top queries, query Google Ads campaigns and performance, view ad spend and ROAS, access Shopify store data via Admin API, list products, collections, orders, query historical analytics reports, campaign attribution, traffic trends, check connected accounts, view API key capabilities, or any Analyzify-related task. Covers questions like: "what is my store", "what is my space ID", "show my GA4 traffic", "top search queries this week", "how are my Google Ads performing", "list my products", "show campaign attribution", "compare organic vs paid traffic", "what accounts are connected", "what plan am I on", "show my store dashboard", "daily sessions this month". All operations use MCP tools: execute_graphql, execute_report_graphql, introspect_schema, introspect_report_schema.
When the user wants help with Quality Score analysis, diagnosing low Quality Scores, improving Expected CTR, Ad Relevance, or Landing Page Experience, understanding Ad Rank, reducing CPCs through Quality Score, running a Quality Score audit, or tracking Quality Score over time. Triggers on 'quality score', 'QS', 'expected CTR', 'ad relevance', 'landing page experience', 'ad rank', 'low quality score', 'quality score audit', 'improve quality score', 'CPC too high', or 'below first page bid'. For search campaign structure and RSAs see google-ads-search. For keyword strategy see google-ads-keywords. For landing page optimization see page-cro.
OAuth and OIDC misconfiguration testing playbook. Use when reviewing redirect URI handling, state and nonce validation, PKCE, token audience, callback binding, and identity-provider trust flaws.
Use this skill whenever writing, reviewing, debugging, or refactoring TypeScript code that uses the Effect-TS library. Trigger when you see imports from `effect`, `effect/*`, or any `@effect/*` scoped package (schema, platform, sql, opentelemetry, cli, cluster, rpc, vitest). Trigger on Effect-specific constructs: Effect.gen generators, Schema.Struct/Schema.Class definitions, Layer/Context.Tag/Service patterns, Effect.pipe pipelines, Data.TaggedError/Data.Class error types, Ref/Queue/PubSub/Deferred concurrency primitives, Match module, Config providers, Scope/Exit/Cause/Runtime patterns, or any code using Effect's typed error channel (E parameter). Also trigger when the user asks about Effect patterns, migration from Promises/fp-ts/neverthrow to Effect, or how to structure an Effect application. Covers the full ecosystem: core Effect type, Schema validation, error management, concurrency (fibers, queues, semaphores, pools), streams/sinks, services and layers (DI), resource management, scheduling, observability, platform APIs, and AI integration. Do NOT trigger for React's useEffect, Redux side effects, or general English usage of "effect" unless the context clearly involves the Effect-TS library.
Integrate Taiwan payment service providers including credit card, ATM transfer, convenience store payment, and mobile wallets (LINE Pay, JKoPay). Use this skill when the user needs to accept payments online in Taiwan, choose a payment gateway, understand payment flows, or handle refunds — even if they say 'accept payments on our site', 'which payment provider in Taiwan', 'integrate credit card payments', or 'set up LINE Pay'.
Static inspection of Triton operator code quality (Host side + Device side) for Ascend NPU. Used when users need to identify potential bugs, API misuses, and performance risks by reading code. Core capabilities: (1) Ascend API constraint compliance check (2) Mask integrity verification (3) Precision processing review (4) Code pattern recognition. Note: This Skill only focuses on static code analysis; compile-time and runtime issues are handled by other Skills.
Guides DeFi protocol security review and rug-risk assessment from public chain data, verified source, and historical patterns—covering EVM and Solana-style deployments, liquidity and tokenomics, governance centralization, bridges, exploit pattern matching, and evidence-structured audit reports. Use when the user asks for a DeFi security audit, rug risk analysis, contract vulnerability triage, LP lock verification, governance or upgrade risk, or cross-chain bridge review from observable data only.
Predicts client renewal likelihood based on health score signals. Analyzes engagement, support, adoption, satisfaction, billing, stakeholder, and usage data to calculate a weighted Health Score (0-100), classify renewal risk, and generate a prioritized action plan with early warning signals and recommended save plays.
Generate AI video from static images using Kling 3.0, Hailuo, Luma Ray3, Runway Gen-4.5, and 8 other tools. Covers free vs paid tools, prompt writing (motion-only), camera control, and face stability. Use when user asks to animate an image, create AI video, or convert photo to video.
Decision framework for GLSL shader projects. Routes to specialized shader skills (fundamentals, noise, SDF, effects) based on task requirements. Use when starting a shader project or needing guidance on which shader techniques to combine.
Assess documentation quality across readability, consistency, audience fit, and prose clarity. Produces a scored review with actionable findings. This skill should be used before releases, during doc reviews, or when documentation feels unclear or inconsistent.
Grafana Loki log aggregation and LogQL query language. Covers LogQL syntax (log queries, metric queries, label matchers, line filters, parsers: json/logfmt/pattern/regexp/unpack, label filters, line_format), Loki architecture, log ingestion via Alloy/Promtail/Fluent Bit, structured metadata, and Logs Drilldown. Use when writing LogQL queries, configuring Loki, troubleshooting log pipelines, or analyzing logs.