rust-worksOfficial·9 Agent Skills Included

succinctly

Fast JSON, YAML, and CSV querying with minimal memory

Queries JSON, YAML, and CSV files using jq and yq syntax while using 18-46x less memory than traditional parsers. Builds lightweight structural indexes instead of full document trees, so large files process fast without heavy RAM usage. Includes command-line tools, benchmark runners, and strict validation to speed up everyday data extraction tasks.

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npx skills add rust-works/succinctly --all -g -y

Available:

Tells your AI agent which specialized sub-skill to invoke based on trigger words like benchmark, SIMD, test, or commit message when working in this codebase.

All Skills in This Repository (9)

Pure Emerald Level Indicators

📦 In Repo

rust-works

simd-optimization

Optimize SIMD code paths for x86_64 AVX2/AVX-512 and ARM NEON.

skill-writing

Create and maintain Claude Code skills with a standardized SKILL.md template.

testing

Identify and address common testing anti-patterns across software projects.

yaml-semi-indexing

Parses complex YAML files using semi-indexing for fast navigation and lazy extraction.

benchmark-docs

Maintains dual-platform benchmark documentation across ARM and x86_64 architectures.

bit-optimization

Optimize bit-level rank/select operations in succinct data structures.

markdown-tables

Format Markdown tables with fixed-width columns and aligned headers.

commit-msg

Generate conventional commit messages from git diffs or staged changes.

json-semi-indexing

Index JSON documents using Interest Bits and Balanced Parentheses structures.

Official

Advanced

Frequently Asked Questions

FAQPage Schema

How to install succinctly?▼

Run `npx skills add rust-works/succinctly --all -g -y` in your terminal to install all skills in this suite globally.

What is succinctly used for?▼

It is a high-performance Rust library and CLI for querying JSON, YAML, and CSV files with jq/yq-style syntax while using far less memory than standard parsers.

How is succinctly different from jq and yq?▼

It builds a lightweight structural index instead of a full document tree, making queries 1.2-5.2x faster with 4-14x less memory on most workloads.

Does succinctly work with Claude Code?▼

Yes. The included skills follow the standard SKILL.md format and auto-trigger in Claude Code based on keywords like benchmark, SIMD, or commit message.

Can succinctly run on ARM and embedded systems?▼

Yes. It supports ARM NEON and x86 SIMD acceleration, and its no_std compatibility lets it run in embedded and WASM environments.