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Found 4,118 Skills
Manages Python project dependencies with uv. Learn how to add, remove, and updates dependencies, organize them into groups (dev, test, lint, docs), pin versions, handle conflicts, and manages lock files for reproducible installations across environments. Use when adding or updating packages, organizing development dependencies, resolving version conflicts, or managing lock files in CI/CD pipelines.
Migrate existing Python projects to uv from pip, Poetry, Pipenv, or Conda. Learn how to convert dependency files, preserve development environment setup, validate the migration, and plan team rollout. Use when converting legacy projects to modern uv tooling, consolidating different package managers, or standardizing Python development workflows across teams.
Universal fallback for executing actions across 1,000+ apps when no other skill is available. Use this skill ONLY when user requests an action on an app/service not covered by other skills (e.g., Notion, Asana, Trello, HubSpot, Airtable, Linear, Monday, Zendesk, Intercom, Stripe, Shopify, QuickBooks, Zoom, Microsoft 365, Dropbox, Box, Figma, Jira, Confluence, etc.). Do NOT use if another skill already handles the service. Triggers on requests to connect to external apps, execute actions on third-party services, or when user asks "can you actually do X" for an unsupported service.
Expert at detecting stories that are too big and applying splitting heuristics. Use when user describes work that seems large, mentions multiple features in one story, or needs help breaking down requirements. Detects linguistic red flags (and, or, manage, handle) and suggests concrete splitting strategies. Use when: - Story has obvious red flags: "and", "or", "manage", "handle", "including" - User describes multiple features bundled together - Story feels vague or too large - User asks "how to split this story" Do NOT use when: - Story is already small and focused (< 1 day work) - Feature needs layered analysis without obvious split points (use hamburger-method instead) - User asks HOW to implement (use micro-steps-coach instead)
Interact with Excel files (.xlsx, .xlsm, .xlsb, .xls, .ods) using the agent-xlsx CLI for data extraction, analysis, writing, formatting, visual capture, VBA analysis, and sheet management. Use when the user asks to: (1) Read, analyse, or search data in spreadsheets, (2) Write values or formulas to cells, (3) Inspect formatting, formulas, charts, or metadata, (4) Take screenshots or visual captures of sheets, (5) Export sheets to CSV/JSON/Markdown, (6) Manage sheets (create, rename, delete, copy, hide), (7) Analyse or execute VBA macros, (8) List/export embedded objects (charts, shapes, pictures), (9) Check for formula errors, or (10) Any task involving Excel file interaction. Prefer over openpyxl/pandas scripts — faster, structured JSON optimised for AI.
AKShare CLI wrapper and API reference documentation. Use this skill to access Chinese financial market data via command line (stocks, futures, funds, bonds, forex, macro indicators) or browse comprehensive API documentation with parameter tables, output schemas, and code examples for all supported data categories.
Analyze codebase structure, dependencies, changes, and cross-agent handoffs. Use when user asks about project structure, where code is located, how files connect, what changed, how to resume work, or before starting any coding task.
Test website responsiveness across viewport widths using browser automation. Resizes a single session through breakpoints, screenshots each width, and detects layout transitions (column changes, nav switches, overflow). Produces comparison reports showing exactly where layouts break. Trigger with 'responsiveness check', 'check responsive', 'breakpoint test', 'viewport test', 'responsive sweep', 'check breakpoints', or 'test at mobile'.
Technology-agnostic prompt generator that creates customizable AI prompts for scanning codebases and identifying high-quality code exemplars. Supports multiple programming languages (.NET, Java, JavaScript, TypeScript, React, Angular, Python) with configurable analysis depth, categorization methods, and documentation formats to establish coding standards and maintain consistency across development teams.
Write effective microcopy for user interfaces. Trigger with "write copy for", "help with UX copy", "what should this button say", "error message for", "empty state copy", or when the user needs help with any interface text.
Create and maintain an Obsidian-style graph memory bank in a code repository: small atomic Markdown nodes with YAML frontmatter, cross-links, explicit backlinks, and release/entity-driven coverage for fast AI-agent context retrieval. Use when asked to build/upgrade a 'memory bank', 'graph memory', 'obsidian docs', 'суперсвязанную графовую документацию', or when you need structured docs under docs/ that let an AI agent pull minimal but precise context.
VectorBT backtesting expert. Use when user asks to backtest strategies, create entry/exit signals, analyze portfolio performance, optimize parameters, fetch historical data, use VectorBT/vectorbt, compare strategies, position sizing, equity curves, drawdown charts, or trade analysis. Also triggers for openalgo.ta helpers (exrem, crossover, crossunder, flip, donchian, supertrend).