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Found 1,865 Skills
Statistical rule discovery through measurement of Go codebases: Count patterns, derive confidence-scored rules, produce Style Vector fingerprint. Use when analyzing codebase conventions, extracting implicit coding rules, profiling a repo before onboarding or PR automation. Use for "analyze codebase", "find coding patterns", "what conventions does this repo use", "extract rules", or "codebase DNA". Do NOT use for code review, bug fixes, refactoring, or performance optimization.
Analyze, describe, and extract information from images using the MiniMax vision MCP tool. Use when: user shares an image file path or URL (any message containing .jpg, .jpeg, .png, .gif, .webp, .bmp, or .svg file extension) or uses any of these words/phrases near an image: "analyze", "analyse", "describe", "explain", "understand", "look at", "review", "extract text", "OCR", "what is in", "what's in", "read this image", "see this image", "tell me about", "explain this", "interpret this", in connection with an image, screenshot, diagram, chart, mockup, wireframe, or photo. Also triggers for: UI mockup review, wireframe analysis, design critique, data extraction from charts, object detection, person/animal/activity identification. Triggers: any message with an image file extension (jpg, jpeg, png, gif, webp, bmp, svg), or any request to analyze/describ/understand/review/extract text from an image, screenshot, diagram, chart, photo, mockup, or wireframe.
XSLT injection testing: processor fingerprinting, XXE and document() SSRF, EXSLT write primitives, PHP/Java/.NET extension RCE surfaces. Use when user-controlled XSLT/stylesheet input or transform endpoints are in scope.
Reconnaissance and methodology playbook. Use when mapping assets, discovering endpoints, fingerprinting technology, and building a structured testing plan for a new target.
Windows lateral movement playbook. Use when pivoting between Windows hosts via PsExec, WMI, WinRM, DCOM, RDP, pass-the-hash, overpass-the-hash, or pass-the-ticket techniques.
Apply signaling theory (Spence, 1973) to analyze how agents communicate private information through costly, credible signals under information asymmetry. Use this skill when the user needs to evaluate whether a corporate action serves as a credible signal, analyze dividend or IPO signaling, assess separating vs pooling equilibria, or when they ask 'why do firms pay dividends', 'is this signal credible', or 'how does underpricing signal quality'.
Apply the Capital Asset Pricing Model (CAPM) to estimate expected returns and assess risk-return tradeoffs. Use this skill when the user needs to calculate expected return on an asset, interpret beta as systematic risk exposure, evaluate whether an investment compensates for risk, or when they ask 'what return should I expect', 'what is the risk premium', or 'how does beta affect pricing'.
Integrate the TaxCloud v3 sales tax API into an ecommerce application. Use this skill whenever the user wants to calculate sales tax, record or convert orders for tax compliance, process refunds or returns, issue standalone tax credits, import orders from external systems (Square, POS, marketplaces, ERPs, QuickBooks), handle tax-exempt customers, classify products with TIC codes, generate a typed TypeScript client from the OpenAPI spec, troubleshoot zero-tax responses, or handle any aspect of US sales tax automation with TaxCloud. Trigger on mentions of TaxCloud, sales tax calculation, nexus, tax compliance, tax quotes, order upload, exemption certificates, TIC codes, or filing.
Expert skill for McDonald's Enterprise Skill
GPU kernel profiling workflow across supported kernel implementation languages. Provides commands for all 4 profiling modes (annotation, event, ncu, nsys), metric interpretation tables, bottleneck identification rules, and the output contract for returning compact results to the orchestrator. Use when: (1) profiling a kernel version, (2) interpreting profiling artifacts/reports, (3) comparing kernel versions, (4) identifying bottlenecks and optimization opportunities, (5) documenting performance in the development log.
Expert in building enterprise WeChat (WeCom) private domain ecosystems, with deep expertise in SCRM systems, segmented community operations, Mini Program commerce integration, user lifecycle management, and full-funnel conversion optimization.
Error-to-fix playbook for every known failure mode on the OpenFinance backend — Polymarket, Relay, Hyperliquid, Privy delegation, and Solana RPC issues. Use this the moment a call fails, returns an unexpected status, or behaves inconsistently with on-chain state. Triggers on ANY of these error signatures verbatim or in paraphrase. Polymarket: "allowance: 0 but on-chain shows max", "CLOB reports allowance 0", "approvals confirmed but order rejected", "404 upstream" on market orders, "tick size" rejection, "order size below minimum", USDC.e vs pUSD vs native USDC confusion, V1 vs V2 exchange confusion. Relay: "InstructionFallbackNotFound", "Custom:101", "Custom:6000", "AnchorError", "Blockhash not found", "TransactionExpired", "No valid authorization signatures were provided", "Solana wallet is not delegated to the app", 412 delegation errors, quote succeeded but execute failed, stuck funds on Solana, stuck funds cross-chain, topupGas forced off. Hyperliquid: "Insufficient perp account value", "price out of bounds", WebSocket stale data, spot vs perp balance confusion. General: any "why is X failing", "why does on-chain and API state disagree", "what does this error mean". Read this BEFORE assuming a bug in the MCP or backend — most of these errors are already catalogued with known fixes.