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Found 6,677 Skills
Stack-aware review for local diffs, pull requests, and repository-wide audits. Routes review across shared policy plus language packs for TypeScript frontend, TypeScript backend/Bun, Go, Rust, and Python. Use after implementation, before merge, or when auditing an existing codebase.
Use when quickly generating a single OpenCLI command from a specific URL and goal description. 4-step process — open page, capture API, write TS adapter, test. For full site exploration, use opencli-explorer instead.
Use this skill whenever the user wants to work with survey data using the `survy` Python library. Triggers include: loading or reading survey CSV/Excel/JSON/SPSS files, handling multiselect (multi-choice) questions, computing frequency tables or crosstabs, exporting survey data to SPSS (.sav) or other formats, updating variable labels or value indices, transforming survey data between wide/compact formats, filtering respondents, replacing values, adding/dropping/sorting variables, or any task involving survy's API (read_csv, read_excel, read_json, read_polars, read_spss, crosstab, survey["Q1"], to_spss, to_csv, to_excel, to_json, etc.). Also trigger when the user says things like "analyze my survey", "process questionnaire data", "build a survey analysis script", or "help me with survy". Always read this skill before writing any survy code — it contains the correct API, patterns, and gotchas.
When the user wants to optimize pharmaceutical supply chains, manage cold chain logistics, ensure regulatory compliance, or implement serialization. Also use when the user mentions "pharma supply chain," "GMP compliance," "cold chain," "drug serialization," "clinical trials logistics," "pharmaceutical distribution," "good distribution practices," "GDP," "drug safety," or "pharmaceutical quality." For general healthcare, see hospital-logistics. For clinical trials specifically, see clinical-trial-logistics.
AI-powered X (Twitter) content strategy skill that distills methodologies from 6 top creators + open-source algorithm data into actionable writing, growth, and monetization guidance.
Use when ending a session, wrapping up work, saying goodbye, or transitioning to a new task context after completing a development cycle
Set up and connect a Shopify store from your AI assistant. Use when the user wants to: set up my Shopify store, connect my store, install Shopify plugin, get started with Shopify, manage my store, add products to my store, merchant onboarding, start selling online, Shopify setup help, create my first store, how do I set up an online store, shopify.com/SKILL.md, import products, migrate from Square, migrate from WooCommerce, migrate from Etsy, migrate from Amazon, migrate from eBay, migrate from Wix, import from Google Merchant Center, migrate from Clover, migrate from Lightspeed, move products to Shopify, import catalog, replatform to Shopify. This is for store owners — not developers.
Apply Bhaskar's critical realism to analyze phenomena through three ontological domains (real, actual, empirical), identify generative causal mechanisms via retroduction, and examine structure-agency interplay. Use this skill when the user needs to go beyond surface correlations to underlying causes, design research that distinguishes mechanisms from events from experiences, or when they ask 'what causes this beyond the observed pattern', 'what structures enable or constrain this behavior', or 'how do I move from correlation to causal explanation'.
Apply Granovetter's embeddedness theory to analyze how economic behavior is embedded in ongoing social relations, avoiding both over-socialized and under-socialized accounts. Use this skill when the user needs to explain why market transactions deviate from pure economic rationality, analyze how trust and social ties shape business dealings, evaluate structural vs relational embeddedness in inter-firm networks, or when they ask 'why do firms prefer existing partners over cheaper alternatives', 'how do social relationships shape economic outcomes', or 'is this market truly arms-length'.
Apply Bloom's revised taxonomy to classify learning objectives and design assessments across six cognitive levels. Use this skill when the user needs to write learning objectives at specific cognitive levels, align assessment with instructional goals, or evaluate curriculum for cognitive complexity distribution — even if they say 'how to write learning objectives', 'what level of thinking does this require', or 'higher-order thinking skills'.
Investigates completed flash-loan and atomic DeFi incidents across EVM and Solana from public txs—borrow-execute-repay fingerprints, oracle/pool/governance vectors, full trace reconstruction, impact quantification, and mitigations. Use when the user asks for flash loan exploit analysis, atomic attack post-mortems, large-borrow suspicious tx triage, or evidence-structured case studies from explorer data and read-only simulation—not for designing new attacks on live protocols.
Uses Cowork-style multi-step analysis to process deal room documents -- contracts, financials, org charts. Outputs risk assessment, term comparison, key findings, and negotiation recommendations.