packages/skills-catalog/skills/(architecture)/modular-decomposition/SKILL.md
Runs a sequenced monolith-to-modular pipeline that sizes and inventories components, finds shared domain duplication, addresses flattening and hierarchy issues, analyzes coupling, then groups components into candidate domain-aligned units, with optional embedded DDD strategic analysis for bounded contexts. Use when asking how to split a monolith, size components before extraction, find duplicated domain logic, clean up module hierarchy, measure coupling between modules, or group components into services. Do NOT use for phased extraction roadmaps or prioritization without the prior analysis steps (use decomposition-planning-roadmap after this pipeline), end-to-end legacy migration strategy writeups (use legacy-migration-planner), pure infrastructure capacity sizing, or when you only need DDD without the structural pipeline (install domain-analysis standalone).
npx skillsauth add tech-leads-club/agent-skills modular-decompositionInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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This skill runs the Patterns 1–5 analysis pipeline before service extraction. Each pattern is plain markdown under references/; load the file for that step and execute it against the user’s codebase.
If the user only wants extraction order, phases, or migration roadmap after analysis exists, use decomposition-planning-roadmap instead. If they need a full legacy migration plan (strangler fig, research, multi-stack), use legacy-migration-planner as well or instead of this skill when that is the primary ask.
references/pattern-NN-*.md file and follow its instructions. Use the optional *-quick-reference.md for the same number when a short checklist is enough.references/domain-analysis.md before or alongside Pattern 5. Optionally open references/domain-analysis-quick-reference.md or references/domain-analysis-examples.md for condensed rules or illustrations.Example 1 — Full pipeline
User: "We're going to split this monolith—run the full decomposition analysis (Patterns 1–5)."
Agent: Execute patterns 1→5 in order, loading each references/pattern-NN-*.md, preserving outputs between steps, then summarize cross-cutting recommendations.
Example 2 — Coupling after inventory
User: "We already have a rough module list—focus on coupling (Pattern 4) and then domain grouping (Pattern 5)."
Agent: If no prior inventory exists in the thread, either run Pattern 1 briefly or derive an explicit module list from the repo before 4 and 5. State any assumptions.
Example 3 — DDD before grouping
User: "Map bounded contexts and language, then group components into domains."
Agent: Read references/domain-analysis.md (and optional quick reference/examples) in parallel with or immediately before Pattern 5; align Pattern 5 groupings with linguistic boundaries where evidence supports it.
references/domain-analysis.md before or alongside Pattern 5 (see Bounded contexts below).| Step | Pattern | Primary reference |
| ---- | ---------------------------------- | ---------------------------------------------------------------------------------------------------------- |
| 1 | Identify and size components | references/pattern-01-identify-and-size.md (optional: pattern-01-identify-and-size-quick-reference.md) |
| 2 | Common domain detection | references/pattern-02-common-domain.md (optional: pattern-02-common-domain-quick-reference.md) |
| 3 | Flattening / hierarchy | references/pattern-03-flattening.md (optional: pattern-03-flattening-quick-reference.md) |
| 4 | Coupling analysis | references/pattern-04-coupling.md |
| 5 | Domain identification and grouping | references/pattern-05-domain-grouping.md (optional: pattern-05-domain-grouping-quick-reference.md) |
Pattern 6 (create domain services / extraction) is not duplicated here. After Pattern 5, switch to decomposition-planning-roadmap for phased extraction order, milestones, and migration-style planning. For full legacy migration strategy (strangler-fig, cross-stack rewrites, research-heavy plans), optionally use legacy-migration-planner in addition.
references/domain-analysis.md, with optional domain-analysis-quick-reference.md and domain-analysis-examples.md. Use it when you need to validate or refine boundaries against business language, not only folder structure.tools
Reviews a GitHub pull request and posts inline comments plus one consolidated summary, adapting to any codebase by discovering the project's own test runner, requirement specs, and architecture conventions before running six specialized review agents in parallel. Stack-agnostic across language and framework; targets GitHub PRs via the gh CLI. Use when the user says "review PR 128", "review this PR", "code review this PR", or "check this pull request". Do NOT use for creating PRs or responding to review comments (use gh-address-comments), or debugging failing CI checks (use gh-fix-ci).
development
Opinionated Rails conventions: rich models, concerns, CRUD-everything, state-as-records, minimal dependencies, Minitest with fixtures. Load this skill BEFORE any code-level thinking, not only before editing a file. It is required the moment a task touches Rails code in ANY way: designing or even just discussing a data model, schema, migration, entity, association, field, validation, class, or method name; writing, planning, reviewing, analyzing, testing, debugging, or refactoring; or proposing any model, table, column, route, or code snippet inline in chat. If you are about to name a model or sketch a column you are already in scope, even in an exploratory back-and-forth where no file is written yet. Do not let a "we're just discussing" framing defer it. Do NOT use for non-Rails backends, NestJS, or general architecture (use nestjs-modular-monolith or coding-guidelines).
testing
Feature planning and implementation with 4 adaptive phases — Specify, Design, Tasks, Execute. Auto-sizes depth by complexity. Creates atomic tasks with verification criteria, atomic git commits, and requirement traceability. Features an independent Verifier (author != verifier, evidence-or-zero), persistent decision log (STATE.md), and test-coverage-matrix-driven tests, plus a self-improving lessons layer that turns verification failures into reusable project-local guidance. Stack-agnostic. Use when (1) Planning features (requirements, design, task breakdown), (2) Implementing with verification and atomic commits, (3) Validating or verifying an implementation against a spec. Triggers on "specify feature", "discuss feature", "design", "tasks", "implement", "validate", "verify work", "UAT", "record decision", "pause work", "resume work". Do NOT use for architecture decomposition analysis (use architecture skills) or technical design docs (use create-technical-design-doc).
development
Generative Engine Optimization (GEO) specialist — the technical, on-page publishing work that makes a given page or site discoverable, understandable, trustworthy, quotable, and fresh for AI answer engines (Google AI Overviews, ChatGPT Search, Bing Copilot, Perplexity). Use when asked to 'optimize this page/site for GEO', 'optimize for AI search / answer engines', 'get my page cited by ChatGPT/Perplexity', 'improve AI visibility/citability', 'write an llms.txt', 'add citation-ready structure or schema for AI answers', 'otimizar para busca com IA', or to audit/create/improve a codebase for generative search. Do NOT use for AI-driven SEO content strategy or programmatic pages at scale (use ai-seo), classic keyword/SERP ranking (use seo), accessibility (use web-accessibility), or multi-area site audits (use web-quality-audit).