Best use case
cargo is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Rust package manager (36 subcommands).
Teams using cargo should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/cargo/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How cargo Compares
| Feature / Agent | cargo | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Rust package manager (36 subcommands).
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
# cargo
Rust package manager (36 subcommands).
## Build
```bash
cargo build --release
cargo check
cargo test
cargo run
cargo bench
```
## Package
```bash
cargo new myproject
cargo init
cargo add serde
cargo remove tokio
```
## Dependencies
```bash
cargo tree
cargo update
cargo fetch
```
## Publish
```bash
cargo publish
cargo search regex
cargo install ripgrep
```
## Workspace
```toml
# Cargo.toml
[workspace]
members = ["crates/*"]
[dependencies]
serde = { version = "1.0", features = ["derive"] }
```
## Fix
```bash
cargo fix --edition
cargo clippy --fix
cargo fmt
```
## Scientific Skill Interleaving
This skill connects to the K-Dense-AI/claude-scientific-skills ecosystem:
### Graph Theory
- **networkx** [○] via bicomodule
- Universal graph hub
### Bibliography References
- `general`: 734 citations in bib.duckdb
## Cat# Integration
This skill maps to **Cat# = Comod(P)** as a bicomodule in the equipment structure:
```
Trit: 0 (ERGODIC)
Home: Prof
Poly Op: ⊗
Kan Role: Adj
Color: #26D826
```
### GF(3) Naturality
The skill participates in triads satisfying:
```
(-1) + (0) + (+1) ≡ 0 (mod 3)
```
This ensures compositional coherence in the Cat# equipment structure.Related Skills
cargo-rust
Rust package manager and build system. Cargo commands, dependency management, and workspace patterns.
cargo-fuzz
Rust fuzzing with cargo-fuzz (libFuzzer).
jepsen-testing
Jepsen-style correctness testing for distributed systems under faults (partitions, crashes, clock skew) using concurrent operation histories and formal checkers (linearizability/serializability and Elle-style anomalies). Use when designing, implementing, or running Jepsen tests, or interpreting histories/violations.
Deterministic Color Generation via Metadata Hashing
**Status**: ✅ Production Ready
cyton-dongle
Connect and stream from OpenBCI Cyton/Daisy via USB dongle, including first-time radio channel pairing
asi-transient-agenda
Org-agenda-like transient views for ASI skill orchestration via nbb/squint + Emacs hydra
Topological Superintelligence (TSI)
Compositional AI framework using GF(3) triadic balance and category-theoretic foundations.
zx-calculus
Coecke's ZX-calculus for quantum circuit reasoning via string diagrams with Z-spiders (green) and X-spiders (red)
zulip-cogen
Zulip Cogen Skill 🐸⚡
zls-integration
zls-integration skill
zig
zig skill
zig-syrup-bci
Multimodal BCI pipeline in Zig: DSI-24 EEG, fNIRS mBLL, eye tracking IVT, LSL sync, EDF read/write, GF(3) conservation