loonghao

Project management guide for vx. Use when setting up a new project, configuring vx.toml, or managing project-level tool versions and scripts.

Teaches AI agents how to use vx, the universal dev tool manager. Use when the project has vx.toml or .vx/, or when the user mentions vx, tool version management, Git/GitHub operations, or cross-platform setup. vx auto-manages Node.js, Python, Go, Rust, and 142 providers via Starlark DSL provider.star files. Also covers MCP integration patterns and GitHub Actions.

Token-efficient command execution patterns for AI agents using vx. Use when running builds, tests, linting, GitHub operations, or any command that produces verbose output. Teaches agents to filter output cross-platform using vx-managed tools (vx rg, vx jq) instead of platform-specific syntax (Select-String, grep, findstr). Includes token measurement, savings tracking, and deep recipes for cargo, gh, pytest, and more.

Best practices for using vx effectively. Use when following recommended patterns for tool management, project setup, and team workflows with vx.

Complete vx CLI command reference. Use when looking up specific vx command syntax, flags, output formats, or token-efficient forwarding. vx-native commands support --json, --toon, --compact, and --output-format; forwarded tools keep native output unless compact mode is explicitly requested.

Troubleshooting guide for vx issues. Use when encountering installation failures, version conflicts, PATH issues, or other vx problems.

Teaches AI agents how to use vx, the universal dev tool manager. Use when the project has vx.toml or .vx/, or when the user mentions vx, tool version management, Git/GitHub operations, or cross-platform setup. vx auto-manages Node.js, Python, Go, Rust, and 138 tools via Starlark DSL providers. Also covers MCP integration patterns and GitHub Actions.

Best practices for using vx effectively. Use when following recommended patterns for tool management, project setup, and team workflows with vx.

An autonomous code-assistant agent that can review code, answer technical questions, generate tests, and suggest refactors — powered by AgentVerse skills and an empathetic developer soul. Exposes MCP tools and is A2A (Agent-to-Agent) compatible.

Publish, discover, and manage AI skills, agents, workflows, souls and prompts from the AgentVerse marketplace. Use when working with the agentverse CLI to search/publish artifacts, authenticate, or manage AI agent ecosystem components.

Runs a suite of smoke tests against any REST API and reports status, latency, and failure details.

Reviews a pull request or diff and produces structured feedback on correctness, security, performance, and style.

Manage multi-container Docker environments using docker compose. Start, stop, inspect, and health-check services defined in a compose file — ideal for local dev, CI service orchestration, and integration test setup.

Fetch GitHub Pull Request diffs, metadata, and CI status using the gh CLI. Summarise changes, check review status, and post structured review comments.

Transform, filter, and reshape JSON data using jq — the lightweight command-line JSON processor. Ideal for extracting fields from API responses, transforming CI artifact payloads, and scripting data pipelines.

A battle-tested chain-of-thought prompt template that guides LLMs through multi-step reasoning. Supports zero-shot CoT, few-shot CoT, and Tree-of-Thought variants. Reuses the OpenAI prompt engineering and Anthropic prompt library standards.

Convert an existing Qt/PySide/PyQt desktop project (QWebEngineView-based UI, QMainWindow browsers, Qt DCC tools) into an AuroraView project so it ships a lighter, Rust-powered WebView and gets full MCP automation for free. Use this skill whenever the user asks to "migrate", "convert", "port" a Qt/PySide/PyQt app to AuroraView, or when they want MCP-controllable Qt tooling.

Integrates ProofShot visual proof recording with the self-improvement workflow. Use when: (1) E2E tests fail or detect visual regressions, (2) Agent needs to verify UI changes it made, (3) Running self-iteration loops (build → test → fix → retest), (4) Preparing PR proof artifacts for review.

Captures learnings, errors, and corrections to enable continuous improvement. Use when: (1) A command or operation fails unexpectedly, (2) User corrects Claude ('No, that's wrong...', 'Actually...'), (3) User requests a capability that doesn't exist, (4) An external API or tool fails, (5) Claude realizes its knowledge is outdated or incorrect, (6) A better approach is discovered for a recurring task. Also review learnings before major tasks.

This skill teaches AI coding agents how to use vx - the universal development tool manager. Use this skill whenever the user's project uses vx (has vx.toml or .vx/ directory), or when the user mentions vx, tool version management, or cross-platform development setup. vx transparently manages Node.js, Python, Go, Rust, and 50+ other tools with zero-config.

Toolkit for interacting with and testing local web applications using Playwright. Supports verifying frontend functionality, debugging UI behavior, capturing browser screenshots, and viewing browser logs.

This skill produces an actionable architecture diagnosis report for a codebase. It guides the AI to scan the repository, map subsystem boundaries, identify design flaws with concrete evidence (files/functions), assess risks, and propose a phased refactor roadmap plus future extension scenarios. Use this skill when the team needs a "diagnosis report" to decide whether/how to refactor.

通过 MCP 工具测试 AuroraView Python API，发现设计缺陷和代码味道。 迭代式测试：启动服务 → 调用工具 → 发现问题 → 修复 → 重新测试。

This skill helps test and debug the local development version of AuroraView MCP Server. It guides AI to configure mcp.json, start the local MCP server, run tests, and troubleshoot issues. Use this skill when developing or debugging the auroraview-mcp package.

Best practices for using vx effectively. Use when following recommended patterns for tool management, project setup, and team workflows with vx.

Complete vx CLI command reference. Use when looking up specific vx command syntax, flags, or output formats. All commands support --json for structured output and --format toon for token-optimized output.

Teaches AI agents how to use vx, the universal dev tool manager. Use when the project has vx.toml or .vx/, or when the user mentions vx, tool version management, or cross-platform setup. vx auto-manages Node.js, Python, Go, Rust, and 105 tools via Starlark DSL providers. Also covers MCP integration patterns and GitHub Actions.

Teaches AI agents how to use vx, the universal dev tool manager. Use when the project has vx.toml or .vx/, or when the user mentions vx, tool version management, or cross-platform setup. vx auto-manages Node.js, Python, Go, Rust, and 105 tools via Starlark DSL providers. Also covers MCP integration patterns and GitHub Actions.

Parse and extract structured data from invoice documents

Keyframe animation tools for Autodesk Maya — set, query, and bake keyframes

Best practices for using vx effectively. Use when following recommended patterns for tool management, project setup, and team workflows with vx.

Teaches AI agents how to use vx, the universal dev tool manager. Use when the project has vx.toml or .vx/, or when the user mentions vx, tool version management, or cross-platform setup. vx auto-manages Node.js, Python, Go, Rust, and 129 tools via Starlark DSL providers. Also covers MCP integration patterns and GitHub Actions.

This skill should be used when OpenClaw needs to install, configure, inspect, or operate `fpt-cli` for Autodesk Flow Production Tracking / ShotGrid workflows, especially for auth setup, schema/entity reads, structured searches, and safe write previews.

Best practices for building i18n flows with TransX

Call MCP servers from shell commands through the mcpcall CLI over stdio, Streamable HTTP, or legacy SSE. Use when an agent needs to list tools, inspect schemas, read resources/prompts, diagnose endpoints, batch tool calls, or invoke tools on DCC MCP servers such as dcc-mcp-core, dcc-mcp-maya, dcc-mcp-blender, dcc-mcp-3dsmax, or any generic MCP endpoint.

Unofficial CLI for KeenTools Cloud 3D Head Reconstruction API