deep-review
Thorough review with the strongest model, only when the user explicitly asks for a "deep review" of a branch or change.
Skill by mtsunu
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/mtsunu-deep-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.
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.
About
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/deep-review
What's inside
- Skill name
deep-review- Description
- Thorough review with the strongest model, only when the user explicitly asks for a "deep review" of a branch or change. Never start it on your own.
- License
- unknown
- Instructions
- 10 lines in SKILL.md · view on GitHub
Files (2)
- SKILL.md
- deep-review-prompt.md · assets/
The license isn't open source, so the instructions aren't shown here. Read SKILL.md on GitHub
More from mtsunu/ai-pakem
- 0.559score
project-kickoff
mtsunu
Guide the user from a vague project idea to a project brief, a tech-stack decision (ADR), and a backlog of MVP features.
SkillAFreshness: AClaude Code +9 - 0.559score
research
mtsunu
Structured research through parallel subagents — split the question into topics, collect sourced findings, report concisely.
SkillAFreshness: AClaude Code +9 - 0.556score
start-task
mtsunu
Required before any code change in an existing project (bugfix, feature, refactor), and for resuming a task or picking up the backlog.
SkillAFreshness: AClaude Code +9 - 0.556score
init-agents
mtsunu
Create or align AGENTS.md and install the ai-pakem workflow config into the repo.
SkillAFreshness: AClaude Code +9
Signals
- Stars
- 0
- Forks
- 0
- Open issues
- 0
- Last commit (this folder)
- Sep 27, 2026 (1 month ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- License unknown
- Repository
- github.com/mtsunu/ai-pakem
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
More from mtsunu
- 0.559score
project-kickoff
mtsunu
Guide the user from a vague project idea to a project brief, a tech-stack decision (ADR), and a backlog of MVP features.
SkillAFreshness: AClaude Code +9 - 0.559score
research
mtsunu
Structured research through parallel subagents — split the question into topics, collect sourced findings, report concisely.
SkillAFreshness: AClaude Code +9 - 0.556score
start-task
mtsunu
Required before any code change in an existing project (bugfix, feature, refactor), and for resuming a task or picking up the backlog.
SkillAFreshness: AClaude Code +9 - 0.556score
init-agents
mtsunu
Create or align AGENTS.md and install the ai-pakem workflow config into the repo.
SkillAFreshness: AClaude Code +9
Cite this page
deep-review skill. Agent Mart. https://agentmart.dev/skills/mtsunu-deep-review (last updated 2026-10-24)