
Skill · AI & Development
Socratic Code Reviewer
Get senior-level code reviews that use Socratic questioning to identify architectural flaws and teach better patterns. Install in 30 seconds.
- Category
- AI & Development
- Deliverable
- 1 .skill bundle
- Outputs
- —
- Last updated
- 13 Jun 2026
- Works in Claude Pro, Team, and Enterprise
- Lifetime access to updates
- Refundable for 30 days via the marketplace
StrategistKit Affiliate. Purchase happens on the marketplace, which handles payment, delivery and refunds.
Overview
What Socratic Code Reviewer does.
Socratic Code Reviewer analyzes code or diffs by first reconstructing the intent of the change, then working through correctness, design, and readability in strict priority order. Each finding opens with the probing question a senior engineer would ask — exposing the underlying flaw rather than just labeling it — followed by a precise explanation and a concrete corrected example. Style notes never surface before correctness or architectural issues.
To use it, paste your code or diff and describe what the change is meant to accomplish. Optionally tell it your stack, team size, and whether you want a quick critique or a formal audit report. From there it runs through intent, correctness, failure paths, concurrency and state ownership, API boundaries, naming, and test adequacy — calibrating depth to your context.
Example output excerpt for a concurrent cache implementation: [CRITICAL] 'What happens to callers that read from this cache between the moment you evict the old entry and the moment the new value is written?' — The current approach creates a read window where stale-or-empty data escapes. Fix: hold the write lock across both the delete and the insert, or use a swap-on-write pattern. See attached corrected snippet. [DESIGN] 'Who owns the eviction policy decision — the cache or its caller?' …
Who it's for
Solo developers and small engineering teams who want rigorous pull-request feedback without a dedicated senior reviewer on call — particularly developers building on unfamiliar patterns (async pipelines, distributed state, layered APIs) who need to understand the reasoning behind changes, not just a list of fixes.
How it works
Three steps. About two minutes.
Install
Add the .skill file to your Claude app. ~10 seconds.
Run it on your work
Invoke the skill and paste in your material.
Apply the output
Review, keep what works, and use it.
In depth
Why a Claude skill beats a prompt template.
A copy-paste prompt runs one static pass and stops. A skill is a bundled program — instructions, examples, and a workflow Claude runs as a unit: it asks for the right input, applies the same pattern every time, and returns the structured outputs above.
FAQ
Common questions.
What does it actually need as input?
Paste the code, diff, or implementation sketch you want reviewed, plus a one-sentence description of what the change is supposed to do. The more you describe your stack and constraints, the more precisely the review is calibrated to your situation.
Will it give me corrected code, or only ask questions?
Both. Each finding leads with a Socratic question to surface the flaw, then provides a direct explanation and a concrete code example showing the fix. The questions are a teaching device, not a substitute for actionable guidance.
Can it review any programming language?
Yes — the skill reads intent and structure rather than relying on language-specific linting rules, so it works across languages and frameworks. Tell it your stack during the context step and it will tailor examples accordingly.
What output format does it produce?
By default it returns a severity-ranked structured report with sections for correctness, design, failure paths, and test adequacy. If you need a quick bullet summary or a formal audit document, specify that at the start and it adapts.
Is this useful if I already use an automated linter or static analysis tool?
Yes — those tools catch syntax and style violations. This skill targets the layer they miss: state ownership, boundary design, concurrency hazards, and test gaps that require understanding what the code is intended to do and how it will evolve.
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