loongclaw-aiOfficial·36 Agent Skills Included

loongclaw

Rust foundation for building secure, high-performance AI agents

Provides a Rust framework for building vertical AI agents with security-first design. Authorizes sensitive actions before execution using typed policies instead of scattered runtime checks. Includes an actor runtime, provider failover, tool hosting, and context storage crates. Helps developers build fast, reliable agents that run safely in production over the long term.

641|104

↗

npx skills add loongclaw-ai/loongclaw --all -g -y

All Skills in This Repository (36)

Pure Emerald Level Indicators

📦 In Repo

loongclaw-ai

agent-browser

Automate Chrome browser navigation, clicks, and data extraction via CLI.

systematic-debugging

Investigate bugs and test failures systematically before applying fixes.

plan

Inspect repository context and draft timestamped Markdown plans under .hermes/plans.

find-skills

Discovers installable agent skills matching user requests via CLI searches.

design-md

Analyze Stitch project screens and assets to generate DESIGN.md documentation.

skill-creator

Automate Claude skill creation with intent interviews, draft writing, and evaluation loops.

mcporter

Manage MCP servers and tools through the mcporter CLI with HTTP or stdio connections.

native-mcp

Connects Hermes Agent to external MCP servers via stdio or HTTP and registers their tools with prefixed names.

github-issues

Triage GitHub issues via gh CLI or authenticated curl requests.

xlsx

Convert messy tabular files into validated Excel spreadsheets with recalculated formulas.

pdf

Extract text, tables, and images from PDF documents.

pptx

Inspect, edit, split, and create .pptx presentations with validation.

Official

Advanced

Frequently Asked Questions

FAQPage Schema

How to install Loong?▼

Run `npx skills add loongclaw-ai/loongclaw --all -g -y` in your terminal to install all skills in this suite globally.

What is Loong used for?▼

Loong is a Rust foundation for building vertical AI agents with a focus on security, performance, and long-term maintainability.

How does Loong keep AI agents secure?▼

It models sensitive operations as typed actions that must be authorized by policy before execution, so safety is enforced by the type system rather than scattered checks.

Is Loong ready for production use?▼

Not yet. The repository is an early-stage architecture and contract skeleton, not a complete installable agent product.

Do I need Rust experience to use Loong?▼

Yes for deep integrations, since the core is written in Rust, but it plans to support runtime script extensions for faster iteration without recompiling.