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Found 845 Skills
Highest level of research and reasoning capabilities for complex decision-making with significant consequences, strategic planning, technical architecture decisions, multi-stakeholder problems, or high-complexity troubleshooting requiring expert-level judgment and sophisticated reasoning chains. Prioritizes actively maintained repositories and validates website sources for 2025 relevance.
Multi-perspective code analysis using three AI personas (RYAN, FLASH, SOCRATES) for comprehensive decision-making. Use when complex code decisions need analysis from multiple viewpoints, or when avoiding single-perspective blind spots is critical.
Execute multiple independent tasks simultaneously using parallel agent coordination to maximize throughput. Use when tasks have no dependencies, results can be aggregated, and agents are available for concurrent work.
Research topics using web search and content fetching to find accurate, current information. Use when you need modern information, official documentation, best practices, technical solutions, or comparisons beyond your training data.
One sentence — what this skill does and when Claude should use it.
Reference for Uniswap V3/V4 concepts used in Doppler development, including tick math, sqrtPriceX96, concentrated liquidity formulas, and V4 hooks/singleton architecture.
Common mistakes, performance pitfalls, and store rejection reasons in browser extension development
Reference for Doppler token creation, vesting, inflation, and factory selection across DERC20, DERC2080, CloneERC20, and CloneDERC20VotesV2 paths.
Create, test, and maintain Homebrew formulas. Use when adding packages to a Homebrew tap, debugging formula issues, running brew audit/test, or automating version updates with livecheck. Use when creating a new Homebrew formula for a project.
Reference for Doppler V4 multicurve auctions across base, scheduled, and decay variants; covers shares-based curve allocation, locked vs migrable pools, and migration constraints.
Browser API differences, polyfills, and feature detection for Firefox, Chrome, Safari, and Edge extensions
README-first AI repo reproduction orchestrator. Use when the user wants an end-to-end minimal trustworthy reproduction flow that reads the repo, selects the smallest documented inference or evaluation target, coordinates the intake, setup, execution, and optional paper-gap sub-skills, enforces conservative patch rules, and writes the standardized `repro_outputs/` bundle. Do not use for paper summary, generic environment setup, isolated repo scanning, standalone command execution, or broad research assistance outside repository-grounded reproduction.