architecture-review
Skill11 starsChanged 12 days agoMITView on GitHub
Review architectural boundaries, dependency direction, ports and adapters, Clean/Onion/Hexagonal/DDD hybrids, and modular monolith structure. Use for architecture-focused audits of existing systems or changes; do not use for ordinary implementation or architecture design without a review request.
78 other projects use a version of this.
Adopted by
Most recently taken up by
- kinhluan/skillstheir own version, first seen Nov 8, 2026
- Smaui94/ClaudeSkillCollectiontheir own version, first seen Nov 8, 2026
- AndersonAndrad/skillstheir own version, first seen Nov 8, 2026
- frnkgns/Overgeared-Skillstheir own version, first seen Nov 8, 2026
- striderZA/OpenCodeGameStudiostheir own version, first seen Nov 4, 2026
- m16khb-org/issueopstheir own version, first seen Nov 1, 2026
Used with
Projects with it also use create-stories, story-done and 10 more.
Other files people use alongside this one.
Files found in the same public projects as a version of this one, more often than they turn up anywhere else. Each project counts once, large collections count for less, and this file's own repository is left out.
lilangMaxSkillcreate-stories
Break a single epic into implementable story files. Reads the epic, its GDD, governing ADRs, and control manifest. Each story embeds its GDD requirement TR-ID, ADR guidance, acceptance criteria, story type, and test evidence path. Run after /create-epics for each epic.
Also in 11 projects that use this
lilangMaxSkillstory-done
End-of-story completion review. Reads the story file, verifies each acceptance criterion against the implementation, checks for GDD/ADR deviations, prompts code review, updates story status to Complete, and surfaces the next ready story from the sprint.
Also in 11 projects that use this
- +10 more from lilangMax
Other versions78 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 78
- Donchitos/Claude-Code-Game-Studios★ 27ksame name
- langwatch/langwatch★ 5ksame name
- ghuntley/loom★ 1.7ksame name
- microsoft/hve-core★ 1.6ksame name
- DataDog/dd-trace-js★ 840same name
- decebals/claude-code-java★ 763same name
- borgbase/vykar★ 722same name
- appdevforall/CodeOnTheGo★ 586same name
- getsentry/warden★ 423same name
- owainlewis/blueprint★ 423same name
68 more not listed
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
In this repository70 other files it gives its agents.
- AGENTS.mdAGENTS.md
- adversarial-reviewSkill
- api-designSkill
- behavior-driven-developmentSkill
- brainstormingSkill
- ci-release-engineeringSkill
- clean-architectureSkill
- code-reviewSkill
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- create-agent-skillSkill
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- css-scss-stylingSkill
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- dependency-supply-chain-reviewSkill
- digital-asset-managementSkill
- documentation-engineeringSkill
- domain-driven-designSkill
- domain-modelingSkill
- donsetch-web-researchSkill
- gherkinSkill
- git-commitSkill
- git-workflowsSkill
- hexagonal-architectureSkill
- impeccableSkill
- internationalization-localizationSkill
- javascript-typescript-engineeringSkill
- justfilesSkill
- mcp-server-engineeringSkill
- mysql-mariadb-sql-engineeringSkill
- observability-engineeringSkill
- onion-architectureSkill
- parallelism-engineeringSkill
- performance-reviewSkill
- playwright-e2eSkill
- postgresql-sql-engineeringSkill
- prompt-engineering-reviewSkill
- python-antipatternsSkill
- python-design-patternsSkill
- python-engineeringSkill
- random-data-identifiersSkill
- release-readinessSkill
- review-verification-protocolSkill
- root-cause-analysisSkill
- ruby-engineeringSkill
- rust-antipatternsSkill
- rust-async-webSkill
- rust-code-reviewSkill
- rust-design-patternsSkill
- rust-desktop-guiSkill
- rust-engineeringSkill
- rust-persistence-sqlSkill
- rust-testing-qualitySkill
- script-engineeringSkill
- security-review-evidenceSkill
- security-reviewSkill
- semantic-versioningSkill
- sql-engineeringSkill
- sqlite-sql-engineeringSkill
- suggest-lucide-iconsSkill
- svelte-sveltekit-engineeringSkill
- The first 60 shown.
The file
We split this skill into the rules it gives an agent
4 rules. 0 are common, 3 are distinctive, and 1 is very specific to this project.
0
Common
Most of the 70 edited versions we read keep these.
3
Distinctive
This author's own choices. Worth a look.
1
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Very specific: line 8
Use this skill as an architecture-specific review lens for an existing system, proposal, or diff.
- Distinctive: line 14
Do not use it for simple code changes with no boundary impact.
- Distinctive: line 20
Read project-local guidance, architecture docs, module structure, and the relevant diff before inferring the intended architecture.
- Distinctive: line 27
Verify findings against imports, call paths, tests, or build rules.
“Common” is measured: kept by at least 6 in 10 of the 70 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
Architecture Review Skill
Use this skill as an architecture-specific review lens for an existing system,
proposal, or diff. Always load
review-verification-protocol
before reporting findings. For repository change reviews, also load
code-review.
Do not use it for simple code changes with no boundary impact. Use the matching Clean, Hexagonal, Onion, or DDD skill when the primary task is designing or implementing an architecture rather than reviewing one.
Workflow
- Read project-local guidance, architecture docs, module structure, and the relevant diff before inferring the intended architecture.
- Map dependency direction, module and bounded-context boundaries, ports, adapters, and framework or persistence edges.
- Identify concrete leakage, cycles, misplaced policy, and boundary bypasses.
- Distinguish intentional hybrid choices from accidental drift; prefer coherent, testable structure over pattern purity.
- Verify findings against imports, call paths, tests, or build rules. Record skipped checks and residual architectural risk.
Output
Return findings ordered by severity with file-level evidence, impact, the smallest practical correction, skipped validation, and residual risk.
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
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People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
- Partly
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Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

