AI and Automation
AI and automation skills cover agent workflows, orchestration layers, MCP integrations, and repeatable task pipelines. Developers browsing this category will find tools for running assistants, connecting models to external systems, and automating work that would otherwise stay manual.
401 skills
Skills in this category
create-github-issue-feature-from-specification
Create GitHub issues from specification files using the feature_request.yml template.
create-github-issues-feature-from-implementation-plan
Create GitHub Issues automatically from implementation plan phases.
create-github-issues-for-unmet-specification-requirements
Automatically create GitHub issues for specification requirements not yet implemented in code.
fedora-linux-triage
Diagnose and resolve Fedora Linux issues with dnf, systemd, and SELinux guidance.
finalize-agent-prompt
Polish and refine agent prompt files against proven best practices.
first-ask
Interactive task refinement workflow that interrogates scope, deliverables, and constraints before execution.
git-flow-branch-creator
Analyzes git changes and creates semantic Git Flow branches automatically based on change type.
java-refactoring-remove-parameter
Source details, install context, and public review data are available on the full page.
remember-interactive-programming
Micro-prompt that reinforces interactive programming workflows with live REPL access.
structured-autonomy-implement
Implementation agent that executes predefined plans step-by-step without deviation.
swift-mcp-server-generator
Generate complete, production-ready MCP server projects in Swift with the official SDK.
vscode-ext-commands
VS Code extension command contribution patterns and naming conventions.
what-context-needed
Ask an AI assistant what files it needs before answering your question.
design-an-interface
Generate multiple radically different interface designs using parallel sub-agents to explore module shape options.
flutter-setting-up-on-macos
Automated macOS environment configuration for Flutter development with Xcode and CocoaPods setup.
karpathy-guidelines
Behavioral guidelines to reduce common LLM coding mistakes through explicit assumptions, simplicity, and verifiable success criteria.
python-code-style
Modern Python tooling, naming conventions, type checking, and documentation standards for maintainable codebases.
remembering-conversations
Search conversation history to avoid reinventing solutions and inform architectural decisions.
vue-pinia-best-practices
Vue Pinia state management patterns, store setup guidance, and reactivity best practices.
create-adaptable-composable
Library-grade Vue composables that accept plain values, refs, or getters as inputs.
gws-script-push
PREREQUISITE: Read ../gws-shared/SKILL.md for auth, global flags, and security rules. If missing, run gws generate-skills to create it.
m15-anti-pattern
Identify and resolve common Rust code anti-patterns during review.
planning-with-files-zh
像 Manus 一样工作：用持久化的 Markdown 文件作为你的「磁盘工作记忆」。
smart-search
根据话题和场景，将查询路由到最佳的 opencli 搜索源。此 skill 的核心目标不是记忆命令，而是先定位数据源，再让 Agent 通过 opencli 自己读取实时帮助，避免文档漂移。