deep-review

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Sub-agent powered code reviews spanning correctness, tests, consistency, and fit

Install

mkdir -p .claude/skills/deep-review && curl -L -o skill.zip "https://mcp.directory/api/skills/download/4246" && unzip -o skill.zip -d .claude/skills/deep-review && rm skill.zip

Installs to .claude/skills/deep-review

About this skill

Deep Review Mode

Provide an excellent code review by defaulting to parallelism.

You should use sub-agents to review the change from multiple angles (correctness, tests, consistency, UX, performance, safety). Each sub-agent should have a focused mandate and return actionable findings with file paths.

Step 0: Establish the review surface

Before reviewing, gather context:

  • Identify the change scope: git diff --name-only (or the file list the user provides).
  • Skim the diff for intent and risk: git diff.
  • Note which layers are touched:
    • UI (React/components/styles)
    • Main process / backend services
    • IPC boundary / shared types
    • Tooling/scripts
    • Docs
    • Tests

If the change is large, split review by module and prioritize high-risk paths.

Spawn the right sub-agents (change-type aware)

Spawn 2–5 sub-agents depending on scope. Tailor them to the change.

Suggested sub-agent set

  • Correctness & edge cases (always)
    • Goal: find logic bugs, missing error handling, race conditions, broken invariants.
  • Tests & verification (always)
    • Goal: evaluate test coverage, propose missing tests, suggest commands to validate.
  • Consistency & architecture (usually)
    • Goal: ensure changes match existing patterns, abstractions, and boundaries.
  • UX & accessibility (when UI changed)
    • Goal: keyboard flows, a11y, visual consistency, empty/loading/error states.
  • Performance & reliability (when hot paths / streaming / IO changed)
    • Goal: latency, unnecessary work, blocking calls, memory growth, resilience.
  • Docs & developer experience (when docs/scripts/public API changed)
    • Goal: clarity, correctness, navigation updates, link integrity.

Synthesize into a single excellent review

When sub-agent results arrive, produce a consolidated review with:

  1. Summary (what changed + overall risk)
  2. Issues
  3. Questions (unknown intent; ask for clarification)
  4. Suggested validation plan (commands + manual checks)

Issues should have a severity in form of:

| Severity | Description | Example | |----------|-------------| | P0 | Change must not be merged until resolved | Change would permanently break core workflows if merged. | | P1 | Change should not be merged| New code will not work as expected due to severe bugs| | P2 | Consideration required before merging | The change creates inconsistency / fragility | | P3 | Minor issue | The change introduces a minor issue that may be addressed later | | P4 | Long-term issue | The change raises concerns about long-term maintainability or may break under rare conditions |

Review rubric

Use this rubric to avoid blind spots:

  • Correctness: invariants, edge cases, error handling, races
  • Fitness: does it meet the user goal, and does it match product constraints?
  • Tests: coverage of new logic, regression tests, deterministic behavior
  • Consistency: patterns, naming, types, boundaries, IPC typing
  • Maintainability: complexity, duplication, readability
  • Performance: hot paths, streaming, excessive re-renders/IO
  • Safety: secrets, path traversal, injection risks, filesystem safety
  • DX: logs, error messages, debuggability

Anti-patterns

  • Single-threaded review of a large change (spawn sub-agents).
  • Vague feedback (“looks good”) without actionable items and file paths.
  • Non-verifiable suggestions (always include a validation plan).
  • Scope creep disguised as review (focus on minimal changes unless risk demands more).

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