architecture-decision-records
Skill1 starsChanged 34 days agoNo licenceView on GitHub
Capture architectural decisions as numbered ADR markdown files in docs/adr/ with context, alternatives considered, consequences, and an index README. Use when the user says 'record this decision' or 'ADR this', chooses between frameworks or databases, discusses trade-offs, or asks why the codebase is shaped this way.
66 other projects use a version of this, 24 of them edited.
Adopted by
Most recently taken up by
- Rojios/everything-claude-codeedited, first seen Nov 8, 2026
- kinhluan/skillstheir own version, first seen Nov 8, 2026
- GSA-TTS/devCrew_s1their own version, first seen Nov 8, 2026
- lhbsaa/apex-unifiededited, first seen Nov 8, 2026
- Lukk17/agent-standardstheir own version, first seen Nov 7, 2026
- pankaj-mahaur/Agent-Daemonedited, first seen Nov 6, 2026
Used with
Projects with it also use nuxt4-patterns, pytorch-patterns and 5 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.
loulanyueSkillnuxt4-patterns
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PyTorch deep learning patterns and best practices for building robust, efficient, and reproducible training pipelines, model architectures, and data loading. Always activate when the user is writing PyTorch models or training scripts, reviewing deep learning code, debugging training loops or data pipelines, optimizing GPU memory or training speed, setting up reproducible experiments, implementing transfer learning or fine-tuning, or asks anything about nn.Module, DataLoader, autograd, AMP, or torch.compile.
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Codified expertise for managing carrier portfolios, negotiating freight rates, tracking carrier performance, allocating freight, and maintaining strategic carrier relationships. Informed by transportation managers with 15+ years experience. Includes scorecarding frameworks, RFP processes, market intelligence, and compliance vetting. Use when managing carriers, negotiating rates, evaluating carrier performance, or building freight strategies.
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loulanyueSkillsanta-method
Multi-agent adversarial verification with convergence loop. Two independent review agents must both pass before output ships.
Also in 5 projects that use this
RojiosSkilldart-flutter-patterns
Production-ready Dart and Flutter patterns covering null safety, immutable state, async composition, widget architecture, popular state management frameworks (BLoC, Riverpod, Provider), GoRouter navigation, Dio networking, Freezed code generation, and clean architecture.
Also in 4 projects that use this
Other versions66 projects use a version of this.
Word for word · 0
None found.
Edited · 24
- loulanyue/awesome-claude-notes★ 27296% same
- Fmarzochi/EGC★ 6196% same
- listener-He/java-harness-agent★ 1670% same
- gongyijie85/dsh-ecc★ 896% same
- zero-click/zero-ratchet★ 896% same
- hahuyhungdev/ai-coding-config★ 351% same
- ronmkr/PromptBook★ 296% same
- get-proofpilot/claude-skills-catalog★ 196% same
- iCesofT/awesome-ai★ 187% same
- NISTALTALSON/essential-claude-skills★ 196% same
14 more not listed
Wrote their own version · 42
- tranhieutt/software_development_department★ 71same name
- GSA-TTS/devCrew_s1★ 51same name
- kumaran-is/claude-code-onboarding★ 35same name
- ricoberger/dotfiles★ 19same name
- woxiangyangzhimao/skills★ 14same name
- xfstudio/skills★ 9same name
- 4gentic/obelus★ 8same name
- robertoatila/jarvis-skill-registry★ 8same name
- kinhluan/skills★ 6same name
- sirius-cc-wu/sirius-skills★ 6same name
32 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 repository196 other files it gives its agents.
- AGENTS.mdAGENTS.md
- skills/tech-leads-club/react-best-practices/AGENTS.mdAGENTS.md
- skills/tech-leads-club/react-composition-patterns/AGENTS.mdAGENTS.md
- CLAUDE.mdCLAUDE.md
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- pdfSkill
- skill-creatorSkill
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- xlsxSkill
- apk-reverseSkill
- author-claude-hookSkill
- auto-improveSkill
- codebase-linguistic-analysis-to-csv-exportSkill
- codebase-rules-extractorSkill
- code-reviewSkill
- compress-skillSkill
- consolidate-markdownSkill
- context7-documentation-lookupSkill
- context-mapSkill
- copilot-sdkSkill
- coverage-gap-auditSkill
- create-task-specSkill
- create-validation-scriptsSkill
- deep-research-webSkill
- design-image-diffSkill
- document-summarizerSkill
- dynamic-programming-analysisSkill
- event-stormingSkill
- agent-architecture-auditSkill
- agent-harness-constructionSkill
- agent-introspection-debuggingSkill
- agent-self-evaluationSkill
- ai-regression-testingSkill
- api-designSkill
- autonomous-agent-harnessSkill
- autonomous-loopsSkill
- backend-patternsSkill
- blueprintSkill
- browser-qaSkill
- codebase-onboardingSkill
- coding-standardsSkill
- content-hash-cache-patternSkill
- cpp-coding-standardsSkill
- cpp-testingSkill
- database-migrationsSkill
- data-scraper-agentSkill
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- dmux-workflowsSkill
- docker-patternsSkill
- e2e-testingSkill
- error-handlingSkill
- exa-searchSkill
- The first 60 shown.
The file
We split this skill into the rules it gives an agent
9 rules. 0 are common, 7 are distinctive, and 2 are very specific to this project.
0
Common
Most of the 62 edited versions we read keep these.
7
Distinctive
This author's own choices. Worth a look.
2
Very specific
Tied to their project's names, files or tools. Probably skip.
No licence file, so all rights are reserved — read it at the source. We count its rules but don't quote them. Read them on GitHub.
“Common” is measured: kept by at least 6 in 10 of the 62 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.
Does it work?
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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.

