发现developer tools类别的 Claude 技能。浏览 177 个技能,找到适合您 AI 工作流程的完美功能。
Automates the git workflow by creating conventional commits, staging files, and pushing changes to remote repositories.
Optimizes ClojureScript development by providing expert guidance on selecting the ideal runtime for scripts, browsers, and embedded environments.
Streamlines the creation of custom Claude Code components using standardized templates and automated validation scripts.
Manages the complete Rust lifecycle including compilation, package management, linting, and code formatting.
Improves code quality and maintainability by identifying architectural smells and applying industry-standard refactoring patterns.
Optimizes Neovim startup performance by profiling plugins and implementing strategic lazy-loading configurations.
Streamlines the discovery, exploration, and implementation of Scheme Requests for Implementation (SRFI) for the Scheme programming language.
Quotients redundant skill paths and merges behavioral equivalences using category-theoretic colimits to optimize complex AI workflows.
Facilitates Aptos blockchain operations and triadic coordination logic for decentralized topological systems.
Empowers Claude to navigate, configure, and automate the complete Emacs ecosystem from Elisp development to Org-mode documentation.
Automates the end-to-end creation of DMAP-standard plugins using a structured 4-phase multi-agent development workflow.
Automates the safe removal of external plugin integrations and their associated documentation from dmap-based agent systems.
Audits React and Next.js applications using 57 Vercel-inspired rules to eliminate performance bottlenecks and optimize rendering.
Manages OCaml development environments, package dependencies, and compiler switches via the OPAM package manager.
Discovers, installs, and manages third-party agent skills from the open skills.sh ecosystem to extend Claude Code capabilities.
Executes lightweight Clojure scripts instantly without the overhead of JVM startup for rapid automation.
Implements a higher-dimensional observational type theory proof assistant for formal verification and complex mathematical modeling.
Transforms and preserves semantic structures across diverse programming contexts and formal systems using triadic logic.
Guides the selection and implementation of specialized ClojureScript runtimes for scripts, browsers, and embedded environments.
Manages Aptos blockchain interactions, wallet operations, and decentralized exchange integrations through the Model Context Protocol.
Simplifies systems programming in Zig by providing patterns for explicit memory management, build systems, and C interoperability.
Facilitates collaborative architectural decisions and generates documentation to ensure consistency across AI-agent development teams.
Facilitates interactive proof development using typed holes within the Narya proof assistant.
Enhances Emacs development workflows with multi-model LLM integration, agent protocols, and intelligent shell automation.
Systematically maps and deciphers unfamiliar codebases using a progressive 4-phase refinement loop.
Executes GNU Scheme scripts to enable high-level functional programming and topological graph analysis.
Facilitates fault-tolerant P2P file transfers using triple-redundant subagents across Tailscale, LAN, and DNS channels.
Orchestrates complex system structures using polynomial monoidal category theory and universal Kan extensions.
Automates comprehensive GitHub operations including branch management, semantic commits, and pull request orchestration via the GitHub CLI.
Interact with the Aptos blockchain through natural language using game-theoretic analysis and secure Move contract execution.
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