为 Shell 脚本和 CLI 添加可执行的冒烟测试(重构前) 是做什么的?
当智能体需要将脆弱的 Shell 脚本或命令行工作流转化为可在每次编辑后重复验证的内容时,使用 Bats-core。智能体为成功路径、失败路径和输出契约编写专注的 Bash 测试,然后在重构、发布或事件修复之前本地或 CI 中运行它们。
先决条件
Bash 以及 Bats-core 和待测试的 Shell 脚本或 CLI 命令
安装
无法自动提取源安装或使用说明。在敏感工作流中运行此技能之前,请先查阅上游项目。
当智能体需要将脆弱的 Shell 脚本或命令行工作流转化为可在每次编辑后重复验证的内容时,使用 Bats-core。智能体为成功路径、失败路径和输出契约编写专注的 Bash 测试,然后在重构、发布或事件修复之前本地或 CI 中运行它们。
该技能的核心是帮助 AI 智能体(如 Claude Code、Cursor、Codex)在修改 Shell 脚本或 CLI 工具之前,自动为其添加可执行的冒烟测试。它利用 Bats-core 测试框架,让智能体能够快速生成针对成功路径、失败路径和输出格式的 Bash 测试用例。这大大降低了手动重构或修复时引入回归错误的风险。技能支持在任何具有 Bash 和 Bats-core 的环境中运行,包括本地开发环境和 CI 流水线。其工作流程是:智能体先分析目标脚本或 CLI 的边界和契约,然后生成对应的 Bats 测试文件,最后在修改代码前后执行这些测试以确保行为一致。该技能特别适用于需要频繁维护的 Shell 脚本、复杂的 CLI 工具链,以及任何对可靠性要求较高的自动化任务。它来源自 Agent Skill Exchange,并且推荐先查阅上游项目文档再在敏感工作流中使用。
npx skills add https://github.com/agentskillexchange/skills/tree/main/skills/add-shell-and-cli-smoke-tests-before-refactors-ship当智能体需要将脆弱的 Shell 脚本或命令行工作流转化为可在每次编辑后重复验证的内容时,使用 Bats-core。智能体为成功路径、失败路径和输出契约编写专注的 Bash 测试,然后在重构、发布或事件修复之前本地或 CI 中运行它们。
Bash 以及 Bats-core 和待测试的 Shell 脚本或 CLI 命令
无法自动提取源安装或使用说明。在敏感工作流中运行此技能之前,请先查阅上游项目。
This repo contains 20 individual skills — each has its own dedicated page.
Builds citation networks from Semantic Scholar API and CrossRef DOI metadata. Visualizes paper influence graphs using NetworkX, identifies seminal works, and tracks research lineage across fields.
Exposes Advanced Custom Fields data through the WordPress REST API using register_rest_field and acf_format_value. Handles repeater fields, flexible content layouts, and gallery fields with proper serialization.
An ASE skill built around ACF Extended, the WordPress enhancement suite for Advanced Custom Fields that adds field types, admin improvements, front-end forms, options pages, and developer tooling. It is a practical fit for agents working inside complex WordPress content models and custom field workflows.
Converts Advanced Custom Fields field groups into native Gutenberg blocks using the ACF Block API v2 and @wordpress/scripts build pipeline. Maps ACF repeaters, groups, and flexible content to InnerBlocks and block attributes with server-side rendering via acf_register_block_type().
Activepieces is an open-source, self-hostable workflow automation platform with 200+ integrations. It provides a visual builder for creating automated workflows and exposes all its connectors as MCP servers for AI agent use.
ActivityWatch is a privacy-first, open-source automated time tracker that records application usage, browser activity, and AFK status across Windows, macOS, and Linux. With 16k+ GitHub stars, it provides detailed productivity analytics without sending data to external servers.
act is an open-source CLI tool that runs GitHub Actions workflows locally using Docker, enabling fast feedback on workflow changes without pushing to GitHub. It is a standard tool for local Actions development and testing.
Use AgentClick when an agent should pause before risky commands, plans, drafts, or code changes so a human can inspect, edit, approve, or reject them in a purpose-built browser UI.
Use UX/UI Agent Skills when Claude should generate tokens, component specs, accessibility audits, and framework-specific UI code from a repeatable design workflow.
Use Cognee to ingest project knowledge into graph and vector memory so agents can retrieve durable context across sessions and workflows.
Give a coding agent symbol-aware lookup, cross-file rename, and structural edit tools before it starts making brittle text-only changes.
Give LangGraph agents memory management and search tools so they can store, retrieve, and update durable facts across sessions.
Use SimpleMem to store, compress, index, and retrieve text or multimodal memories for agents through MCP or Python integrations.
Keep Claude Code sessions grounded in prior decisions, project context, and daily handoff notes instead of starting from zero every time.
Store embeddings beside application data in Postgres, create vector indexes, and query nearest neighbors for semantic search, RAG, recommendations, or agent memory retrieval.
Find the open PR for the current branch, gather unresolved review comments, and drive a focused comment-resolution workflow with gh-authenticated context.
Use VoltAgent to intercept, validate, and enforce input/output policies in TypeScript agent workflows.
Use Zep as an external context layer for agents that need to store events, assemble temporal graph context, and retrieve relevant memory before model calls.
Calls Adobe Firefly
Automates image editing workflows via the Adobe Photoshop API (Firefly Services). Supports smart object replacement, action playback, and PSD layer manipulation at scale.
Extract frames or short clips from videos using ffmpeg.
Summarize or transcribe URLs, YouTube/videos, podcasts, articles, transcripts, PDFs, and local files.
Use when testing, fixing, or extending the OpenClaw Control UI GUI with Vitest + Playwright end-to-end checks, mocked Gateway WebSocket flows, mocked dashboard runs, screenshots/videos, or agent-verifiable browser proof.
Obra superpowers agent skills.
See, Understand, Act on video and audio. See- ingest from local files, URLs, RTSP/live feeds, or live record desktop; return realtime context and playable stream links. Understand- extract frames, build visual/semantic/temporal indexes, and search moments with timestamps and auto-clips. Act- transcode and normalize (codec, fps, resolution, aspect ratio), perform timeline edits (subtitles, text/image overlays, branding, audio overlays, dubbing, translation), generate media assets (image, audio...
End-to-end marketing campaign planning and execution. Covers audience research, positioning, campaign angle definition, landing page copy, email sequences, social posts, ad copy, short-form video scripts, and content calendars. Use as the orchestration layer for multi-channel product launches. Use when planning or executing a multi-channel product launch, or producing landing page, email, social, or ad copy.