Chalk Labs
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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-review
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.
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About
Use cases: agent-building
Reviews
Write a reviewNo 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-review
What's inside
- Skill name
slate-review- Description
- Terse PR/code review comments. Use for pull requests, diffs, file reviews, and review-comment drafting.
- License
- MIT
- Instructions
- 43 lines in SKILL.md · view on GitHub
Files (2)
- README.md
- SKILL.md
SKILL.md (first lines)
# slate-review Review code with location, severity, issue, fix. ## Format ```text <file>:L<line> | <severity> | <issue> | <fix> ``` Severity values: - `bug` — broken behavior - `risk` — works but fragile - `security` — security/privacy issue - `perf` — performance issue - `nit` — optional style/readability - `question` — genuine question, not disguised suggestion ## Rules - One finding per line. - Preserve exact line numbers, symbols, function names, variable names. - Concrete fix required unless severity is `question`. - No fake praise per comment. - No vague `consider refactoring` comments. - Do not approve, request changes, or run tools; output paste-ready comments only unless user asks otherwise. ## Auto-clarity Use a normal paragraph for serious security findings, architecture disagreements, or onboarding contexts where the author needs rationale. Then resume terse review lines. ## Example ```text src/auth.ts:L42 | bug | `user` can be null after `.find()` | add guard before `.email` src/api.ts:L88 | risk | no retry on 429 | wrap request in `withBackoff(3)` src/cache.ts:L17 | nit | name hides unit | rename `ttl` to `ttlMs` ```
From AdvayRoy/slate-skills, MIT.
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- 0.534score
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Safe compression for natural-language memory files like AGENTS.md, CLAUDE.md, notes, todos, and preferences.
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slate-debug
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Compact debugging workflow.
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slate-minify
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Sentence-level language minifier.
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slate-run
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Fast token-efficient execution loop for active repo work.
SkillCFreshness: C★ 7Claude Code +9 - 0.528score
slate-commit
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Compact Conventional Commit generator.
SkillCFreshness: C★ 7Claude Code +9 - 0.528score
slate-diff
AdvayRoy
Compact patch summary.
SkillCFreshness: C★ 7Claude Code +9
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
- Repository
- github.com/AdvayRoy/slate-skills
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
Same skill elsewhere
Copies of this SKILL.md published by others; search shows only one of them.
More from AdvayRoy
- 0.534score
slate
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Main compact engineering mode.
SkillCFreshness: C★ 7Claude Code +9 - 0.531score
slate-compress
AdvayRoy
Safe compression for natural-language memory files like AGENTS.md, CLAUDE.md, notes, todos, and preferences.
SkillCFreshness: C★ 7Claude Code +9 - 0.531score
slate-debug
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Compact debugging workflow.
SkillCFreshness: C★ 7Claude Code +9 - 0.531score
slate-minify
AdvayRoy
Sentence-level language minifier.
SkillCFreshness: C★ 7Claude Code +9 - 0.531score
slate-run
AdvayRoy
Fast token-efficient execution loop for active repo work.
SkillCFreshness: C★ 7Claude Code +9 - 0.528score
slate-commit
AdvayRoy
Compact Conventional Commit generator.
SkillCFreshness: C★ 7Claude Code +9
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.
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Cite this page
slate-review skill. Agent Mart. https://agentmart.dev/skills/advayroy-slate-review (last updated 2026-10-24)