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Found 6,275 Skills
Blockchain RPC and data access via Quicknode. Use when an agent needs to read onchain data (balances, token prices, transaction status, gas estimates, block data) across Base, Ethereum, Polygon, Solana, or Unichain. Supports both API key access and x402 wallet-based pay-per-request access with no account needed. Triggers on mentions of RPC, blockchain data, onchain queries, token balances, gas estimation, block number, transaction receipt, Quicknode, or x402.
Generate a design tokens file (CSS variables or Tailwind config) based on a chosen aesthetic philosophy, with light and dark mode palettes, spacing scale, type ramp, and component-level tokens. Use when starting a new project, establishing a visual system, setting up tokens, or mentions "tokens" or "design system".
MUST USE for anything related to mise, development tool versions, or dev environment setup. Triggers: (1) User mentions mise, mise.toml, .tool-versions, or mise commands like 'mise use', 'mise install', 'mise run'. (2) User wants to install, switch, pin, upgrade, or check versions of dev tools — node, python, go, ruby, java, rust, etc. — at project or global level, even without mentioning mise (e.g. 'set up node 22', 'what python version', 'upgrade go', 'check for outdated tools', 'configure dev environment'). (3) User wants to manage per-project environment variables via config files (e.g. 'add DATABASE_URL env var', 'set up env vars for different environments'). (4) User wants to define or run project tasks via mise (e.g. 'create a build task', 'run tests with mise'). Do NOT trigger for: Dockerfiles, package.json scripts, Makefiles, nvm/pyenv/rbenv commands, pip/npm package installation, git tags, CI/CD config, or deployment.
Setup and workflow for using sqry semantic code search as an MCP server with Claude Code. Covers installation, MCP configuration, tool naming conventions, and recommended search patterns. Install this skill to give Claude Code full access to sqry's 34 AST-based code analysis tools.
AST-based semantic code search skill for AI agents. Teaches agents to use sqry's 34 MCP tools for finding symbols by structure (functions, classes, types), tracing relationships (callers, callees, imports, inheritance), analyzing dependencies, and detecting code quality issues. Unlike embedding-based search, sqry parses code like a compiler. Supports 37 languages. Uses tiered discovery: start with Quick Tool Selection below, load reference files only when you need parameter details or advanced workflows.
Setup and workflow for using sqry semantic code search as an MCP server with Gemini CLI. Covers installation, MCP configuration via settings.json, context file behavior, and recommended patterns. Install this skill to give Gemini CLI access to sqry's 34 AST-based code analysis tools.
Implement Syncfusion React Kanban component for flexible task management and workflow visualization. Use this when building kanban boards, workflow stages, or card-based task management systems. This skill covers drag-and-drop card operations, swimlane organization, WIP limit validation, custom card templates, event handling, and API data binding for React applications.
Terminal-based spreadsheet TUI tool written in Go for editing CSV files in the terminal with vim-like keybindings
Create a detailed execution plan for implementing features or refactors in a codebase by leveraging existing research in the specified `research` directory.
Trigger: Invoke when you start from scratch with extremely limited resources and need to find the minimum viable entry point first to build a stable base. Common signals include bootstrap, MVP, pilot, first foothold, and small team startup. Trigger when starting from almost nothing and needing a viable foothold before scaling up. Use this skill to build a durable base, start small, and grow from a validated nucleus instead of scattering effort.
Compares two Xcode build runs to identify duration regressions, cache changes, and new issues. Can be invoked with build IDs, dashboard URLs, or branch names (e.g. `tuist compare-builds --base main --head feature-branch`).
The foundational knowledge distillation pattern for building and maintaining an AI-powered Obsidian wiki. Based on Andrej Karpathy's LLM Wiki architecture. Use this skill whenever the user wants to understand the wiki pattern, set up a new knowledge base, or needs guidance on the three-layer architecture (raw sources → wiki → schema). Also use when discussing knowledge management strategy, wiki structure decisions, or how to organize distilled knowledge. This is the "theory" skill — other skills handle specific operations (ingesting, querying, linting).