Skip to content
Agentmart
Submit a tool

zig

Performance-first Zig guidance for systems code.

Skill by bout3fiddy

IndexedLicense unknown★ 35
Write a review

Chalk Labs

Need help deploying zig?

Chalk Labs sets up agents like this inside real teams: connected to your tools, tested on your data, with a human in the loop where it matters.

Book a call

Install

Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.

npx agentmarket install skill/bout3fiddy-zig

Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.

Get the weekly diff

The weekly diff: one email a week with new agent tools, notable updates and grade changes, plus security alerts for tools you follow. Double opt-in, one-click unsubscribe.

We use your email only for this newsletter. Privacy

About

Performance-first Zig guidance for systems code. Use for Zig speed, allocation, benchmark, batch API, module-readiness, hot-loop, compiler-output, and machine-level performance work. Read the machine-level and benchmarking references first, use compiler/allocation references when the evidence gap needs them, and match the response to the user's request: design discussion, implementation, review, or evidence report.

Use cases: documents, design, backend

No reviews yet. Installed it? Reviews come from verified installers only. How reviews work

Permissions

What this skill can do and what it asks for, from its SKILL.md and code. Checked Nov 2, 2026.

Tools
No tools found
Secrets
None asked for
Install scripts
None found
Runs as
Python package

Network hosts it talks to 1

  • codeload.github.com · found in install command

Files it touches

  • ~/.claude/skills/zig

What's inside

Skill name
zig
Description
Performance-first Zig guidance for systems code. Use for Zig speed, allocation, benchmark, batch API, module-readiness, hot-loop, compiler-output, and machine-level performance work. Read the machine-level and benchmarking references first, use compiler/allocation references when the evidence gap needs them, and match the response to the user's request: design discussion, implementation, review, or evidence report.
License
unknown
Instructions
102 lines in SKILL.md · view on GitHub

Before installing

  • Ships executable scripts

Files (25)

  • SKILL.md
  • allocation-evidence.md · references/
  • benchmarking.md · references/
  • compiler-evidence.md · references/
  • index.md · references/
  • machine-level-hypotheses.md · references/
  • codegen-ladder.py · scripts/
  • codegen-ladder.sh · scripts/
  • __init__.py · scripts/codegen_ladder/
  • __main__.py · scripts/codegen_ladder/
  • allocation.py · scripts/codegen_ladder/
  • artifacts.py · scripts/codegen_ladder/
  • asm.py · scripts/codegen_ladder/
  • calls.py · scripts/codegen_ladder/
  • checks.py · scripts/codegen_ladder/
  • cli.py · scripts/codegen_ladder/
  • common.py · scripts/codegen_ladder/
  • decision_card.py · scripts/codegen_ladder/
  • diff.py · scripts/codegen_ladder/
  • inspect.py · scripts/codegen_ladder/
  • llvm_mca.py · scripts/codegen_ladder/
  • next_checks.py · scripts/codegen_ladder/
  • profiling.py · scripts/codegen_ladder/
  • source_map.py · scripts/codegen_ladder/
  • types.py · scripts/codegen_ladder/

The license isn't open source, so the instructions aren't shown here. Read SKILL.md on GitHub

Signals

Stars
35
Forks
0
Open issues
1
Last commit (this folder)
May 22, 2026 (5 months ago)

From GitHub (fetched Oct 24, 2026).

Details

License
License unknown
First seen
Oct 24, 2026
Last checked
Oct 24, 2026

More from bout3fiddy

Done for you

Rather not set it up yourself?

Chalk Labs scopes, builds and runs agents for your team: the task audit, the eval harness, the integrations and the weekly ops report. Fixed scope, priced before we start.

See how we build AI agents →Read the case studies

Chalk Labs is a two-founder AI and growth studio. We build AI agents, CRMs and MVPs for Web3 and AI companies, and have shipped 50+ product and token launches.

launches shipped
50+
launches shipped
media placements
500+
media placements
founders on every account
2
founders on every account

Press we've placed: Forbes · CoinDesk · Decrypt · Cointelegraph · The Block

Rahil Jain, Co-founder, Chalk Labs. Ex-Goldman Sachs engineer. You talk to the person who builds it.

Get zig running in your business

Tell us what you want to automate. A founder replies within one working day with a plan, not a pitch deck.

Goes to the Chalk Labs founders, not the newsletter. Privacy

Need help deploying zig?

CallGet help
Cite this page

zig skill. Agent Mart. https://agentmart.dev/skills/bout3fiddy-zig (last updated 2026-10-24)