architecture-review
Skill7 starsChanged 7 months agoMITView on GitHub
Reviews the system architecture for structural issues, dependency cycles, layer violations, scalability concerns, and single points of failure. Use for periodic health checks or before major new features.
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
- nledford/engineering-review-boardtheir own version, first seen Nov 3, 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 repository45 other files it gives its agents.
- .claude/CLAUDE.mdCLAUDE.md
- CLAUDE.mdCLAUDE.md
- a11y-auditSkill
- api-designSkill
- business-blueprintSkill
- business-logic-auditSkill
- changelogSkill
- ci-pipelineSkill
- code-coverageSkill
- competitive-analysisSkill
- convert-codeSkill
- create-componentSkill
- db-migrationSkill
- debugSkill
- dependency-auditSkill
- deploy-checklistSkill
- design-flowSkill
- docker-setupSkill
- env-setupSkill
- error-monitorSkill
- estimateSkill
- explain-codeSkill
- fix-issueSkill
- generate-docsSkill
- git-cleanupSkill
- grill-meSkill
- handoffSkill
- legal-pagesSkill
- memory-importSkill
- memorySkill
- microcopySkill
- migrate-frameworkSkill
- onboardSkill
- optimizeSkill
- pr-summarySkill
- refactorSkill
- reference-appSkill
- review-prSkill
- security-scanSkill
- seo-scaffoldSkill
- tddSkill
- web-launch-checkSkill
- wireframeSkill
- write-skillSkill
- write-testsSkill
The file
We split this skill into the rules it gives an agent
2 rules. 0 are common, 2 are distinctive, and 0 are very specific to this project.
0
Common
Most of the 70 edited versions we read keep these.
2
Distinctive
This author's own choices. Worth a look.
0
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 32
Check for layer violations — e.g., presentation layer importing directly from data layer
- Distinctive: line 33
Look for god modules — modules that everything depends on
“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
Project Structure
!find . -type f -not -path "*/node_modules/*" -not -path "*/.git/*" -not -path "*/vendor/*" -not -path "*/__pycache__/*" -not -path "*/target/*" -not -path "*/bin/*" -not -path "*/obj/*" -not -path "*/.next/*" -not -path "*/dist/*" -not -path "*/build/*" 2>/dev/null | head -80
Directory Layout
!tree -L 3 -I "node_modules|.git|vendor|__pycache__|target|bin|obj|.next|dist|build" 2>/dev/null || find . -type d -not -path "*/node_modules/*" -not -path "*/.git/*" -not -path "*/vendor/*" -maxdepth 3 2>/dev/null
Package/Module Config
!cat package.json go.mod Cargo.toml pyproject.toml requirements.txt *.csproj pom.xml 2>/dev/null | head -60
Review Areas
1. Project Structure & Organization
- Is the directory layout clear and consistent?
- Does it follow established conventions for the stack? (e.g., src/, app/, lib/, pkg/)
- Are related files co-located or scattered?
- Is there a clear entry point?
2. Dependency Architecture
- Map the dependency graph between major modules/packages
- Identify circular dependencies — modules that import each other
- Check for layer violations — e.g., presentation layer importing directly from data layer
- Look for god modules — modules that everything depends on
- Assess coupling: can modules be changed independently?
3. Separation of Concerns
- Is business logic separated from framework/transport code?
- Are side effects (I/O, network, database) isolated at boundaries?
- Is configuration separated from code?
- Are there clear interfaces between layers?
4. Scalability Considerations
- Stateless vs stateful components — which components hold state?
- Are there bottlenecks that would fail under load?
- Database query patterns — are they efficient at scale?
- Caching strategy — what is cached, where, and when invalidated?
- Background job handling — how are long-running tasks managed?
5. Reliability & Resilience
- Single points of failure: What happens if any component goes down?
- Error boundaries: Where do errors propagate, and are they caught?
- Retry logic: For external service calls, is there retry with backoff?
- Graceful degradation: Does the system handle partial failures?
- Health checks: Are there endpoints or mechanisms to monitor health?
6. Security Architecture
- Authentication and authorization boundaries
- Where is input validation enforced?
- How are secrets managed?
- API rate limiting and abuse prevention
Output Format
Architecture Diagram (ASCII)
┌─────────┐ ┌─────────┐ ┌──────────┐
│ Frontend │────▶│ API │────▶│ Database │
└─────────┘ └─────────┘ └──────────┘
│
▼
┌───────────┐
│ External │
│ Services │
└───────────┘Findings Table
| # | Area | Finding | Severity | Recommendation |
Top Recommendations
Prioritized list of the most impactful architectural improvements.
Overall Health
Rate: Healthy / Needs Attention / At Risk — with reasoning.
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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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.
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