在本地运行 Slack、Gmail、Google Drive、GitHub、Jira、Notion、S3 等 SaaS API 模拟器，通过受控数据语料库进行测试，无需供应商账户、OAuth、密钥或网络调用。
该技能使开发者能够为 AI 代理和集成构建确定性的 SaaS API 测试世界。它通过 Backlot 在本地运行 Slack、Gmail、Google Drive、GitHub、Jira、Notion、S3 等主流 SaaS API 的模拟器，所有数据来自受控的本地语料库。这彻底消除了对真实供应商账户、OAuth 授权、API 密钥或网络调用的依赖，从而创建完全可重现的测试环境。支持通过 MCP（模型上下文协议）或标准 SDK 与 AI 代理（如 Claude Code、Cursor、Codex）交互，Backlot 可作为本地服务器运行于 http://127.0.0.1:8000。该工具对于需要可靠、可预测数据以进行自动化测试、持续集成和代理工作流验证的开发者尤为有用。
npx skills add https://github.com/agentskillexchange/skills/tree/main/skills/build-deterministic-saas-api-test-worlds-for-agents-with-backlot在本地运行 Slack、Gmail、Google Drive、GitHub、Jira、Notion、S3 等 SaaS API 模拟器，通过受控数据语料库进行测试，无需供应商账户、OAuth、密钥或网络调用。
Python 3.11+、Backlot CLI、可选的 MCP 兼容客户端或指向本地 Backlot 基础 URL 的官方供应商 SDK。
根据源码说明进行安装或设置：
使用 pip install backlot 安装，通过 backlot import --bundled 或 backlot import my-corpus.jsonl 导入捆绑或项目语料库，然后运行 backlot serve，并将支持的 SDK 指向 http://127.0.0.1:8000。对于代理工具访问，安装 pip install "backlot[mcp]" 并在 MCP 兼容客户端中注册 backlot mcp。
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 Bats-core when an agent needs to turn fragile shell scripts or command-line workflows into something it can verify repeatedly after edits. The agent writes focused Bash tests for success paths, failure paths, and output contracts, then runs them locally or in CI before a refactor, release, or incident fix goes out.
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
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.