Comprehensive Rust development assistant with meta-question routing, coding guidelines, version queries, and ecosystem support
View and manage your coding achievements and statistics.
Generate a summarized report of AI news from Reddit communities.
Heavy-weight security and safety audit using os-checker tools.
Clean Rust docs cache
Show Rust docs cache status
> Standardized criteria for determining confidence levels in negotiation responses.
> Standard response structure for agents in negotiation mode.
Common web fetching strategy for anti-crawler handling.
Generic web content fetcher.
Fetch Clippy lint information.
Use when asking about Rust code style or best practices. Keywords: naming, formatting, comment, clippy, rustfmt, lint, code style, best practice, P.NAM, G.FMT, code review, naming convention, variable naming, function naming, type naming, 命名规范, 代码风格, 格式化, 最佳实践, 代码审查, 怎么命名
Internal support skill for actionbook MCP selectors used by Rust documentation research workflows. Use only when another rust-skills workflow explicitly requests actionbook-backed selectors.
Internal support skill for agent-browser CLI workflows used by rust-learner, docs-researcher, and crate-researcher. Use only when browser automation is explicitly required.
Internal command support for dynamic Rust crate skill management. Use only when explicitly invoked by /sync-crate-skills, /clean-crate-skills, or /update-crate-skill.
Internal maintenance support for checking and fixing generated Rust skill documentation references. Use only when explicitly invoked by /fix-skill-docs.
Uses power tools
Uses Bash, Write, or Edit tools
Runs pre-commands
Contains inline bash commands via ! syntax
Bash prerequisite issue
Uses bash pre-commands but Bash not in allowed tools
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Verify ownership to unlock analytics, metadata editing, and a verified badge. GitHub access is read-only (username + org membership).
Sign in to claimBased on adoption, maintenance, documentation, and repository signals. Not a security audit or endorsement.
AI-powered Rust development assistant with meta-cognition framework
Rust Skills is a Claude Code plugin that transforms how AI assists with Rust development. Instead of giving surface-level answers, it traces through cognitive layers to provide domain-correct architectural solutions.
Traditional AI assistance for Rust:
User: "My trading system reports E0382"
AI: "Use .clone()" ← Surface fix, ignores domain constraints
Rust Skills with meta-cognition:
User: "My trading system reports E0382"
AI (with Rust Skills):
├── Layer 1: E0382 = ownership error → Why is this data needed?
│ ↑
├── Layer 3: Trade records are immutable audit data → Should share, not copy
│ ↓
├── Layer 2: Use Arc<TradeRecord> as shared immutable value
│ ↓
└── Recommendation: Redesign as Arc<T>, not clone()
Rust Skills supports two installation modes:
The simplest way to get started. Works with any coding agent that supports skills, including Claude Code, Vercel's add-skills, and others.
Skills now include inline fallback logic — when agent files are not available, skills execute directly using built-in tools (actionbook, agent-browser, WebFetch).
npx skills add actionbook/rust-skills
Install via CoWork, a Rust-based skills management tool:
# Install CoWork
cargo install cowork
# Method 1: Direct install
cowork install actionbook/rust-skills
# Method 2: Config-based install (recommended for teams)
cowork config init # Create .cowork/Skills.toml
# Edit Skills.toml to add rust-skills (see below)
cowork config install # Install all configured skills
Skills.toml configuration:
[project]
name = "my-rust-project"
[skills.install]
rust-skills = "actionbook/rust-skills"
[security]
trusted_authors = ["ZhangHanDong"]
CoWork (
cofor short) provides version management, dependency resolution, lock files, and security auditing. See CoWork documentation for more details.
git clone https://github.com/actionbook/rust-skills.git
cp -r rust-skills/skills/* ~/.claude/skills/
Note: Skills-only mode does not include hooks, so meta-cognition won't trigger automatically. You can manually call
/rust-routeror specific skills. Background agents fall back to inline execution automatically.
For Claude Code users who want the complete experience with hooks, background agents, and auto meta-cognition triggering.
# Step 1: Add the marketplace
/plugin marketplace add actionbook/rust-skills
# Step 2: Install the plugin
/plugin install rust-skills@rust-skills
Note: Step 1 only adds the marketplace (plugin source). Step 2 actually installs the rust-skills plugin with all features enabled.
# Clone the repository
git clone https://github.com/actionbook/rust-skills.git
# Launch with plugin directory
claude --plugin-dir /path/to/rust-skills
| Feature | Plugin (Marketplace) | Plugin (Local) | Skills-only (NPX/CoWork/Manual) |
|---|---|---|---|
| All 31 Skills | ✅ | ✅ | ✅ |
| Auto meta-cognition trigger | ✅ | ✅ | ❌ (manual invoke) |
| Hook-based routing | ✅ | ✅ | ❌ |
| Background agents | ✅ | ✅ | ✅ (inline fallback) |
| Easy updates | ✅ | ❌ | ✅ (NPX/CoWork) |
| Works with other agents | ❌ | ❌ | ✅ |
Background agents require permission to run agent-browser. Configure in your project:
npx claudepluginhub codeblackbyshazzy/rust-skillsIncremental migration strategy for adopting React Native or Expo in native iOS/Android apps using @callstack/react-native-brownfield, including initial setup, packaging, and phased host integration.
A subconscious for Claude Code. A Letta agent watches your sessions, accumulates context, and whispers guidance back.
Access thousands of AI prompts and skills directly in your AI coding assistant. Search prompts, discover skills, save your own, and improve prompts with AI.
Consult multiple AI coding agents (Gemini, OpenAI, Grok, Perplexity, plus codex, antigravity, and grok CLIs when installed) to get diverse perspectives on coding problems
Production-grade engineering skills for AI coding agents — covering the full software development lifecycle from spec to ship.
Supergraph enforces a complete, evidence-based coding pipeline — scan → plan → TDD → fix → verify → review — grounded in real codebase analysis at every step. It combines AST dependency graphs, LSP-level code intelligence, and a structured skill chain so Claude never guesses about impact before making a change.
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