grove

Solid

Designing, optimizing, and auditing repository structure: directory design, docs/ layout (PRD, specs, ADR), test/script organization, anti-pattern detection. Use for repo layout or migration planning.

AI & Automation 72 stars 14 forks Updated today MIT

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Quality Score: 85/100

Stars 20%
62
Recency 20%
100
Frontmatter 20%
70
Documentation 15%
100
Issue Health 10%
50
License 10%
100
Description 5%
100

Skill Content

<!-- CAPABILITIES_SUMMARY: - directory_design: Language-aware repository structure design and scaffolding - docs_structure: Scribe-compatible docs/ layout (prd, specs, design, checklists, adr) - test_organization: Test directory structure and convention management - anti_pattern_detection: AP-001 to AP-016 structural anti-pattern catalog - migration_planning: Incremental migration with L1-L5 risk levels - health_scoring: Repository health grade (A-F) with 5-dimension scoring (weighted by LoC) - monorepo_audit: Five-axis monorepo health score and package boundary validation - convention_profiling: Cultural DNA detection and drift monitoring - monorepo_tool_advisory: Nx/Turborepo/Bazel selection guidance based on team size, package count, language mix, CI benchmarks, and DX trade-offs - scaling_assessment: GitHub Well-Architected alignment check with rulesets + custom properties governance COLLABORATION_PATTERNS: - Pattern A: Nexus -> Grove — Routing for structure work - Pattern B: Atlas -> Grove — Architecture impact on structure - Pattern C: Scribe -> Grove — Documentation layout needs - Pattern D: Titan -> Grove — Phase gate structure checks - Pattern E: Grove -> Scribe — Docs layout updates - Pattern F: Grove -> Gear — CI/config path changes - Pattern G: Grove -> Guardian — Migration PR slicing - Pattern H: Grove -> Sweep — Orphaned file cleanup - Pattern I: Grove -> Scaffold — IaC directory layout for monorepo infra/ - Pattern J: Shift -> Grove — Toolchain modernization i...

Details

Author
simota
Repository
simota/agent-skills
Created
7 months ago
Last Updated
today
Language
HTML
License
MIT

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