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deploy-everywhere

Build and deploy ZeroClaw Rust binaries to all supported targets: WASM32-WASI (Cloudflare Workers, Deno, Wasmtime), Linux musl (Docker, Lambda, edge), native Linux (x86_64, ARM64, RISC-V), and WebAssembly browsers. Generates platform-specific configs, CI/CD pipelines, and deployment scripts. Uses cargo-cross for cross-compilation and cargo-component for WASM components. Adapted from OpenClaw's deploy-everywhere for Rust's cross-compilation ecosystem.

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概览

安装命令

npx skills add https://github.com/mk-knight23/AI-Agent-ZeroClaw --skill deploy-everywhere

复制此命令并粘贴到 Claude Code 中以安装该技能

来源

mk-knight23/AI-Agent-ZeroClaw

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更新时间2026年3月10日 00:14

SKILL.md

readonly

name

deploy-everywhere

description

deploy-everywhere

Compile Rust to every target. Ship WASM to the edge. Deploy native to servers.

Usage

@ZeroClaw deploy-everywhere --target wasm32-wasi --platform cloudflare
@ZeroClaw deploy-everywhere --target all                               # Build all targets
@ZeroClaw deploy-everywhere --target linux-musl-x64 --platform lambda
@ZeroClaw deploy-everywhere --build-only                               # Build, don't deploy

Supported Targets

Target	Triple	Platform	Use Case
`wasm32-wasi`	`wasm32-wasip1`	Cloudflare Workers, Deno	Edge functions
`wasm-browser`	`wasm32-unknown-unknown`	Browser, Node.js	Client-side WASM
`linux-musl-x64`	`x86_64-unknown-linux-musl`	Docker, Lambda	Serverless
`linux-musl-arm64`	`aarch64-unknown-linux-musl`	AWS Graviton	ARM servers
`linux-riscv64`	`riscv64gc-unknown-linux-gnu`	LicheeRV Nano	Edge hardware
`linux-native`	host triple	Local	Development

Build Pipeline

# WASM edge (Cloudflare Workers)
cargo build --target wasm32-wasip1 --release
wasm-opt -Oz dist/zeroclaw.wasm -o dist/zeroclaw-opt.wasm

# Linux musl (truly static binary, no libc deps)
cross build --target x86_64-unknown-linux-musl --release

# Size report
ls -lh target/*/release/zeroclaw
# wasm32:  1.2MB → 0.8MB (after wasm-opt)
# musl:    3.8MB (statically linked, no runtime deps)

Platform-Specific Configs

Cloudflare Workers

# wrangler.toml (generated)
name = "zeroclaw-edge"
main = "dist/zeroclaw-opt.wasm"
compatibility_date = "2025-01-01"

AWS Lambda

# serverless.yml (generated)
functions:
  zeroclaw:
    handler: bootstrap
    runtime: provided.al2023
    package:
      artifact: target/x86_64-unknown-linux-musl/release/zeroclaw

Docker (scratch image)

FROM scratch
COPY target/x86_64-unknown-linux-musl/release/zeroclaw /zeroclaw
ENTRYPOINT ["/zeroclaw"]
# Final image: ~4MB total

Generated Files

dist/
├── zeroclaw.wasm               # Cloudflare / Deno
├── zeroclaw-opt.wasm           # Optimized WASM (wasm-opt -Oz)
├── zeroclaw-linux-x64          # Linux amd64 musl
├── zeroclaw-linux-arm64        # Linux arm64 musl
├── zeroclaw-linux-riscv64      # RISC-V edge
platform/
├── wrangler.toml               # Cloudflare Workers
├── serverless.yml              # AWS Lambda
├── Dockerfile                  # Scratch image
├── fly.toml                    # Fly.io
.github/workflows/
└── release.yml                 # Matrix build CI
DEPLOY_MANIFEST.md              # All targets + deployment instructions

Philosophy

The same Rust source that compiles to 8MB on a server compiles to 1MB WASM for the edge and 4KB for a microcontroller. Write once, deploy everywhere — ZeroClaw's core promise.

同仓库更多 Skills

同仓库

code-reviewer

mk-knight23/AI-Agent-ZeroClaw

Rust static analysis + AI review using clippy (all lints), rustfmt, and cargo-semver-checks. AI pass focuses on: ownership violations, lifetime issues, unnecessary clones, panic risk in library code, and WASM-compatibility issues. Outputs CODE_REVIEW.md with CRITICAL/HIGH/MEDIUM/LOW severity. Adapted from Nanobot's Python code-reviewer for Rust's ownership model and zero-cost abstraction philosophy.

2026-03-100

iot-monitor

mk-knight23/AI-Agent-ZeroClaw

Embedded Rust sensor monitoring for no_std environments and WASM edge targets. Reads from GPIO, I2C, SPI interfaces via embedded-hal traits, processes readings with zero-allocation algorithms, and publishes alerts to Telegram or MQTT without heap allocation. Designed for microcontrollers (STM32, RP2040) and Cloudflare Workers edge runtime. Cross-ported from PicoClaw's Go iot-monitor for Rust/embedded-hal ecosystem.

2026-03-100

add-gmail

mk-knight23/AI-Agent-ZeroClaw

Adds Gmail monitoring to ZeroClaw via async IMAP over TLS using async-imap + tokio. Creates src/channels/gmail.rs with a GmailChannel struct, polls INBOX for unread messages matching a trigger pattern, and sends replies via lettre (SMTP). Zero CGo, zero external runtime. Requires a Gmail App Password (not your Google account password).

2026-03-060

add-obsidian

mk-knight23/AI-Agent-ZeroClaw

Mounts an Obsidian vault as a read-only knowledge source for ZeroClaw. Creates src/tools/vault_search.rs using walkdir + regex crates for efficient file traversal and pattern matching. Registers the tool in the agent's tool registry. Zero heap allocation per search except for matched results. Requires vault accessible as a filesystem path.

2026-03-060

add-slack

mk-knight23/AI-Agent-ZeroClaw

Adds Slack integration to ZeroClaw using reqwest for the Slack API and tokio-tungstenite for the Socket Mode WebSocket connection. Creates src/channels/slack.rs with a SlackChannel struct, handles app_mention events, routes to the skill dispatcher, and posts threaded replies. Compiles to a static binary. Requires Slack bot token and app-level token with Socket Mode enabled.

2026-03-060

add-supabase

mk-knight23/AI-Agent-ZeroClaw

Adds Supabase as ZeroClaw's persistent backend using the Supabase REST API via reqwest. Creates typed Rust structs for each table (serde Deserialize/Serialize), db/supabase.rs with async CRUD helpers, and memory_read/memory_write tools. Zero CGo, no heavy ORM. Requires a Supabase project URL and anon key.

2026-03-060

来源

mk-knight23

mk-knight23/AI-Agent-ZeroClaw

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安装命令

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在 Manus 中运行

适用职业SOC

软件开发工程师计算机与数学类职业15-1252L4

name

deploy-everywhere

description

deploy-everywhere

Compile Rust to every target. Ship WASM to the edge. Deploy native to servers.

Usage

@ZeroClaw deploy-everywhere --target wasm32-wasi --platform cloudflare
@ZeroClaw deploy-everywhere --target all                               # Build all targets
@ZeroClaw deploy-everywhere --target linux-musl-x64 --platform lambda
@ZeroClaw deploy-everywhere --build-only                               # Build, don't deploy

Supported Targets

Target	Triple	Platform	Use Case
`wasm32-wasi`	`wasm32-wasip1`	Cloudflare Workers, Deno	Edge functions
`wasm-browser`	`wasm32-unknown-unknown`	Browser, Node.js	Client-side WASM
`linux-musl-x64`	`x86_64-unknown-linux-musl`	Docker, Lambda	Serverless
`linux-musl-arm64`	`aarch64-unknown-linux-musl`	AWS Graviton	ARM servers
`linux-riscv64`	`riscv64gc-unknown-linux-gnu`	LicheeRV Nano	Edge hardware
`linux-native`	host triple	Local	Development

Build Pipeline

# WASM edge (Cloudflare Workers)
cargo build --target wasm32-wasip1 --release
wasm-opt -Oz dist/zeroclaw.wasm -o dist/zeroclaw-opt.wasm

# Linux musl (truly static binary, no libc deps)
cross build --target x86_64-unknown-linux-musl --release

# Size report
ls -lh target/*/release/zeroclaw
# wasm32:  1.2MB → 0.8MB (after wasm-opt)
# musl:    3.8MB (statically linked, no runtime deps)

Platform-Specific Configs

Cloudflare Workers

# wrangler.toml (generated)
name = "zeroclaw-edge"
main = "dist/zeroclaw-opt.wasm"
compatibility_date = "2025-01-01"

AWS Lambda

# serverless.yml (generated)
functions:
  zeroclaw:
    handler: bootstrap
    runtime: provided.al2023
    package:
      artifact: target/x86_64-unknown-linux-musl/release/zeroclaw

Docker (scratch image)

FROM scratch
COPY target/x86_64-unknown-linux-musl/release/zeroclaw /zeroclaw
ENTRYPOINT ["/zeroclaw"]
# Final image: ~4MB total

Generated Files

dist/
├── zeroclaw.wasm               # Cloudflare / Deno
├── zeroclaw-opt.wasm           # Optimized WASM (wasm-opt -Oz)
├── zeroclaw-linux-x64          # Linux amd64 musl
├── zeroclaw-linux-arm64        # Linux arm64 musl
├── zeroclaw-linux-riscv64      # RISC-V edge
platform/
├── wrangler.toml               # Cloudflare Workers
├── serverless.yml              # AWS Lambda
├── Dockerfile                  # Scratch image
├── fly.toml                    # Fly.io
.github/workflows/
└── release.yml                 # Matrix build CI
DEPLOY_MANIFEST.md              # All targets + deployment instructions

Philosophy

The same Rust source that compiles to 8MB on a server compiles to 1MB WASM for the edge and 4KB for a microcontroller. Write once, deploy everywhere — ZeroClaw's core promise.