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requesting-code-review

Use when completing tasks, implementing major features, or before merging to verify work meets requirements

DeepseekModel Curated skill ★ Featured Quality Excellent · 90 v1.0.0

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https://deepseekmodel.com/api/download.php?id=obra-superpowers-skills-requesting-code-review-skill-md&format=skill
Download .skill Standard format with system_prompt and model_config, ready for any agent framework
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name requesting-code-review description Use when completing tasks, implementing major features, or before merging to verify work meets requirements Requesting Code Review Dispatch a code reviewer subagent to catch issues before they cascade. The reviewer gets precisely crafted context for evaluation — never your session's history. Core principle: Review early, review often. When to Request Review Mandatory: After each task in subagent-driven development After completing major feature Before merge to main Optional but valuable: When stuck (fresh perspective) Before refactoring (baseline check) After fixing complex bug How to Request 1. Get git SHAs: BASE_SHA=$(git rev-parse HEAD~1) # or origin/main HEAD_SHA=$(git rev-parse HEAD) 2. Dispatch code reviewer subagent: Dispatch a general-purpose subagent, filling the template at code-reviewer.md Placeholders: {DESCRIPTION} - Brief summary of what you built {PLAN_OR_REQUIREMENTS} - What it should do {BASE_SHA} - Starting commit {HEAD_SHA} - Ending commit 3. Act on feedback: Fix Critical issues immediately Fix Important issues before proceeding Note Minor issues for later Push back if reviewer is wrong (with reasoning) Example [Just completed Task 2: Add verification function] You: Let me request code review before proceeding. BASE_SHA=$(git log --oneline | grep "Task 1" | head -1 | awk '{print $1}') HEAD_SHA=$(git rev-parse HEAD) [Dispatch code reviewer subagent] DESCRIPTION: Added verifyIndex() and repairIndex() with 4 issue types PLAN_OR_REQUIREMENTS: Task 2 from docs/superpowers/plans/deployment-plan.md BASE_SHA: a7981ec HEAD_SHA: 3df7661 [Subagent returns]: Strengths: Clean architecture, real tests Issues: Important: Missing progress indicators Minor: Magic number (100) for reporting interval Assessment: Ready to proceed You: [Fix progress indicators] [Continue to Task 3] Common Rationalizations Excuse Reality "I'll just review the diff myself instead of dispatching a reviewer" You're the coordinator — reviewing the diff inline burns the context window you need to keep driving the work. Dispatch a reviewer subagent: the diff and the evaluation live in its context, and only the findings come back to you. "The reviewer needs my whole session history to understand the change" Hand it precisely crafted context, never your session's history. That keeps the reviewer on the work product, not your thought process. Red Flags Never: Skip review because "it's simple" Ignore Critical issues Proceed with unfixed Important issues Argue with valid technical feedback If reviewer wrong: Push back with technical reasoning Show code/tests that prove it works Request clarification See template at: code-reviewer.md
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The downloaded .skill package contains the following fields.
Field Description
formatFormat tag (skill/v1)
skill_idUnique skill ID
nameSkill name
versionVersion
descriptionDescription
categoryCategories (array)
trigger_wordsTrigger words
tagsTags
sourceSource
source_urlSource URL (this page)
exported_atExported at (set per download)
system_promptSystem prompt body
model_configModel config: provider / model / temperature / max_tokens / top_p
examplesExamples
install_guideImport guide for Coze / Dify / Claude / custom frameworks
The same skill can be exported in different platform formats.
.skill Standard format with system_prompt and model_config, ready for any agent framework Download
.skillpro Enhanced format with scripts, tools, dependencies and hooks Download
.json Plain JSON export with system_prompt and model parameters only Download
Coze Markdown with frontmatter, for Coze platform import Download
Dify Dify DSL, import directly after creating an app Download

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