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Found 8,043 Skills
Apply dual-process theory to diagnose whether judgments arise from fast intuitive (System 1) or slow analytical (System 2) processing and identify resulting cognitive biases. Use this skill when the user needs to explain why quick decisions go wrong, design choice architectures that account for cognitive defaults, audit decision processes for heuristic errors, or when they ask 'why do people misjudge probability', 'how to reduce snap-judgment errors', or 'when does intuition fail'.
Build credit scoring models to predict default probability from borrower characteristics. Use this skill when the user needs to assess creditworthiness, build a credit scorecard, or evaluate lending risk — even if they say 'predict default risk', 'credit scoring', or 'loan approval model'.
Apply AI ethics frameworks (fairness, accountability, transparency, privacy) to evaluate AI systems for algorithmic bias, explainability gaps, and value alignment failures. Use this skill when the user needs to audit an AI system for ethical risks, design fairness constraints, assess explainability requirements, or when they ask 'is this AI system fair', 'how do we detect algorithmic bias', 'what are the ethical implications of this AI deployment', or 'how do we make this model explainable to stakeholders'.
Use this skill to migrate your Jetpack Compose app to add adaptive edge-to-edge support and troubleshoot common issues. Use this skill to fix UI components (like buttons or lists) that are obscured by or overlapping with the navigation bar or status bar, fix IME insets, and fix system bar legibility.
Capable of completing the installation and deployment of Ascend NPU drivers and firmware, featuring regular expression-based installation package extraction, on-demand addition of executable permissions, dual package verification via Python+Shell, pre-check and installation of system dependencies, and compatibility with CentOS/RHEL/Ubuntu/Debian systems. It is suitable for the installation and deployment of Ascend NPU drivers and firmware.
Summarizes descriptive concepts for max pain options theory, covered-call style crypto ETFs, crypto arbitrage families and risks, and bull/bear flag chart patterns—always as non-prescriptive education. Use when the user asks about max pain, premium income ETFs, arbitrage, funding rates, flash loans, or bull/bear flags in crypto trading context.
Guides EVM Solidity DeFi triage from public verified source or bytecode—access control, proxies, oracle usage, reentrancy and CEI patterns, DEX/router integrations, and common vulnerability classes. Use when the user asks for Ethereum or L2 smart contract security review, Solidity audit triage, OpenZeppelin proxy risks, or EVM-specific DeFi patterns—not for live exploits or private keys.
Points to the coral-xyz sealevel-attacks repository—minimal Anchor programs demonstrating common Solana (Sealevel) exploit patterns and recommended mitigations. Use when auditing or learning Solana program security, pairing with solana-defi-vulnerability-analyst-agent—not for deploying attacks against live systems or evading law.
Speak text aloud using system TTS (say command on macOS/Linux) or browser TTS via Chrome DevTools Protocol. Use when: (1) job completes and you want to announce results, (2) user asks to hear something spoken, (3) notifications that need audio alerts, (4) accessibility - reading content aloud.
Generate pixel art diagrams and infographics in retro 16-bit SNES aesthetic — recovery education visuals, flowcharts, data visualizations, process diagrams with dithering and limited palettes. NOT for photo-realistic images, vector graphics, or high-resolution illustration.
Provides final code cleanup after task review approval. Removes debug logs, temporary comments, dead code, optimizes imports, and improves readability. Use when asked to clean up code, polish, finalize, tidy up, remove technical debt, or prepare code for completion after review. Not for refactoring logic or fixing bugs—focused solely on cosmetic and hygiene cleanup.
Converts Markdown files to one MS Word document per file using plugin-local scripts. V2 includes L5 Delegated Constraint Verification for strict binary artifact linting.