Skip to content
Agentmart
Submit a tool

slate

Main compact engineering mode.

Skill by AdvayRoy

IndexedMIT★ 7
Write a review

Chalk Labs

Need help deploying slate?

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/advayroy-slate

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

Main compact engineering mode. Use for Codex or Claude Code work when the user wants concise, structured, token-efficient output without losing technical substance.

Use cases: agent-building

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. Checked Oct 25, 2026.

Tools
No tools found
Secrets
None asked for
Install scripts
None found

Network hosts it talks to 1

  • codeload.github.com · found in install command

Files it touches

  • ~/.claude/skills/slate

What's inside

Skill name
slate
Description
Main compact engineering mode. Use for Codex or Claude Code work when the user wants concise, structured, token-efficient output without losing technical substance.
License
MIT
Instructions
71 lines in SKILL.md · view on GitHub

Files (2)

  • README.md
  • SKILL.md

SKILL.md (first lines)

# slate

Clean engineering briefs for coding agents.

## Mission

Reduce agent output tokens while preserving engineering signal.

Use when user asks for compact output, token efficiency, concise status, clean briefs, less noise, or `/slate`.

## Core law

Compress noise. Never compress risk.

## Output contract

For general code work:

```text
Result:
Changed:
Tests:
Risk:
Next:
```

For analysis-only work:

```text
Answer:
Evidence:
Risk:
Next:
```

## Rules

- Delete filler, pleasantries, hedging, repeated explanations.
- Prefer short technical fragments over long paragraphs.
- Keep exact code, commands, paths, URLs, API names, error strings, test results, env vars, versions, dates.
- Do not invent abbreviations the reader cannot decode.
- Do not compress security warnings, destructive actions, migrations, deploy steps, payment/auth/secret handling, or live-capital workflows.
- Do not claim tests passed unless actually run.
- If tests cannot run, say `Unverified:` and exact reason.
- Quote shortest decisive error line, not full logs, unless asked.

## Style

Professional, terse, not meme. No self-reference. No "slate mode on" unless user asks what mode is active.

## Auto-clarity

Switch to full clarity when compression could change order, hide uncertainty, or make a risky step ambiguous. Resume compact format after the risk is clear.

## Examples

Verbose:
> I inspected the authentication middleware and found that the issue appears to be caused by the JWT expiry check not rejecting expired tokens before the request reaches the route handler.

Slate:
```text
Result: expired JWTs accepted before route handler.
Changed: add expiry gate in auth middleware.
Tests: add boundary regression.
Risk: auth path only.
Next: run full auth suite.
```

From AdvayRoy/slate-skills, MIT.

Signals

Stars
7
Forks
1
Open issues
0
Last commit (this folder)
Jun 24, 2026 (4 months ago)

From GitHub (fetched Oct 24, 2026).

Details

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

Same skill elsewhere

Copies of this SKILL.md published by others; search shows only one of them.

More from AdvayRoy

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 slate 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 slate?

CallGet help
Cite this page

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