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SKILL verified MIT Self-run

Android Architecture

skill-adrigm06-android-engineering-skill-android-architecture · by adrigm06

Architecture strategy for Android apps at real production scale. Use this whenever the user asks about app structure, modularization, MVVM/MVI/UDF choices, migration from legacy code, dependency boundaries, or architecture review decisions.

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Install

$ agentstack add skill-adrigm06-android-engineering-skill-android-architecture

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Security review

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No issues found. Passed automated security review. · v0.1.0 How review works →

  • Prompt-injection patterns
  • Secret / credential exfiltration
  • Dangerous shell & filesystem operations
  • Untrusted network calls
  • Known-malicious package signatures

What it can access

  • Network access No
  • Filesystem access No
  • Shell / process execution No
  • Environment & secrets No
  • Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

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Reliability & compatibility

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About

Purpose

Design and evolve Android architecture with enforceable boundaries, explicit ownership, and migration-safe sequencing under real delivery constraints.

Scope and authority

This skill is the lead authority for:

  • module boundaries and dependency direction
  • layering and ownership topology
  • architecture style selection (MVVM/MVI/UDF/Clean depth)
  • migration design from legacy structures

This skill is not the final authority for:

  • critical security exposure (android-security override)
  • release go/no-go (android-release-engineering override)
  • runtime SLA constraints (android-performance runtime override)

When to use

Use this skill when the user is:

  • starting architecture for a new Android app or major feature set
  • refactoring package/module structure
  • deciding architecture style fit for current team and product complexity
  • resolving dependency boundary violations
  • requesting migration paths from legacy codebases
  • asking for ADR-ready architecture decisions

Required inputs

Collect the minimum set that changes the decision:

  • team topology and ownership model
  • app/domain complexity and release cadence
  • current architecture pain points and dependency graph symptoms
  • build/CI constraints and delivery deadlines
  • regulatory/security constraints
  • migration risk tolerance and rollback requirements

If key inputs are missing, proceed with explicit assumptions and lower confidence.

Decision engine workflow

  1. Frame constraints and decision domain.
  2. Classify architecture maturity (seed, scaling, multi-team, legacy-heavy).
  3. Select architecture style branch and module topology branch.
  4. Validate against global dependency constraints.
  5. Run cross-skill checks (security/performance/build/testing/release).
  6. Resolve conflicts using authority model from ../../AGENTS.md.
  7. Return target-state design + phased migration plan + rollback points.

Branching decision tree

Branch A: architecture maturity

  • Seed team (1-4 engineers, fast iteration):
  • Prefer modular monolith + package-by-feature.
  • Delay deep multi-module split unless ownership/build pain is concrete.
  • Scaling team (5-12 engineers, multiple ownership zones):
  • Introduce selective feature/core modules by ownership and change rate.
  • Add API boundaries where coordination overhead is rising.
  • Multi-team (12+ engineers, parallel delivery):
  • Use explicit feature modules + strong domain/core contracts.
  • Enforce strict dependency visibility and review gates.
  • Legacy-heavy (high coupling, fragile releases):
  • Use strangler migration slices.
  • Prioritize boundary stabilization before style purity.

Branch B: state/architecture style fit

  • MVVM: default for mostly CRUD/form/list flows with moderate complexity.
  • MVI/UDF: choose for event-heavy flows and high state-transition complexity.
  • Deeper Clean boundaries: choose only when cross-feature domain policy and long-term ownership justify added indirection.

Branch C: migration strategy

  • Low tolerance for risk: incremental adapters + compatibility seams.
  • Moderate tolerance: parallel module extraction with feature-by-feature cutover.
  • High tolerance with strong tests: accelerated boundary rewrite with staged guardrails.

Conflict handling and composition

When activated with other skills:

  • With android-performance:
  • Keep architectural boundaries unless measured runtime/regression evidence requires exception.
  • If exception is needed, time-box it and define path back to target architecture.
  • With android-compose:
  • Compose state patterns must fit architecture ownership boundaries.
  • Reject UI-local shortcuts that leak domain/data responsibilities.
  • With android-gradle-build:
  • Module proposals must be build-graph-feasible; avoid theoretical splits that harm CI throughput.
  • With android-security:
  • Security-critical controls override structural preference.
  • With android-testing:
  • If migration confidence is weak, increase verification scope before high-risk structural changes.

Real-world tradeoff guidance

Allow context-justified non-ideal decisions when clearly labeled:

  • "Temporary shared module" may be acceptable under deadline if ownership exit criteria is defined.
  • "Hybrid architecture" may be acceptable during migration if dependency direction remains enforceable.
  • "Deferred module split" may be acceptable when build pain is low and team size is stable.

Do not present temporary compromises as final architecture.

Anti-pattern detection

Flag and explain:

  • god modules with mixed UI/domain/data responsibilities
  • fake clean layers with pass-through use cases
  • feature-to-feature dependency shortcuts
  • domain contaminated by framework or transport concerns
  • over-modularization with no ownership or build ROI

Uncertainty protocol

Always report confidence for non-trivial decisions:

  • High (>= 0.80): constraints and evidence are strong.
  • Medium (0.60-0.79): assumptions or tradeoff ambiguity exists.
  • Low (< 0.60): key data missing or conflicts unresolved.

If confidence is medium/low:

  • list assumptions that could flip the decision
  • provide at least one viable alternative path
  • identify minimum missing data needed to finalize
  • escalate to supporting skills where uncertainty is cross-domain

Cross-skill handoff payload

Use the standard payload defined in ../../AGENTS.md (section: Cross-skill handoff contract). Set requesting_skill to android-architecture.

Output contract

Use the global section order from ../../AGENTS.md and adapt content for architecture tasks:

  1. Context and constraints
  2. Decision and rationale
  3. Alternatives considered
  4. Tradeoffs
  5. Risks and mitigations
  6. Confidence and unknowns
  7. Cross-skill impacts
  8. Next implementation steps

Also include:

  • Proposed module tree
  • Dependency rules (allowed/forbidden)
  • Migration path with rollback-safe phases
  • ADR draft

Related resources

  • references/architecture-selection.md
  • references/module-boundaries.md
  • templates/architecture-proposal.md
  • templates/adr.md
  • examples/anti-patterns.md

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

Install and usage instructions live in the source repository linked above.

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Versions

  • v0.1.0 Imported from the upstream source.