flutter-best-practices
Execute a micro-level Flutter code quality audit. Validates code against live GitHub standards for testing, architecture, and code implementation. Produces a detailed violations report with prioritized action plan. Use when the user asks to check Flutter code quality, validate best practices, or review code standards compliance. Triggers on: 'flutter best practices', 'code quality', 'code review', 'flutter standards', 'architecture compliance', 'testing quality'.
How do I install this agent skill?
npx skills add https://github.com/somnio-software/somnio-ai-tools --skill flutter-best-practicesIs this agent skill safe to install?
- Gen Agent Trust Hubpass
This skill performs code quality audits on Flutter projects by analyzing source files and test suites against architectural and testing standards. It uses standard discovery tools and references vendor-maintained documentation. While functional, it processes untrusted project code and has access to powerful tools, creating an inherent indirect prompt injection surface.
- Socketpass
No alerts
- Snykpass
Risk: LOW · No issues
- ZeroLeakspass
Score: 93/100 · 2 sections analyzed
What does this agent skill do?
Flutter Micro-Code Audit Plan
This plan executes a deep-dive analysis of the Flutter codebase focusing on Micro-Level Code Quality and adherence to specific architectural and testing standards.
Agent Role & Context
Role: Flutter Micro-Code Quality Auditor
Your Core Expertise
You are a master at:
- Code Quality Analysis: Analyzing individual functions, classes, and test files for implementation quality
- Standards Validation: Validating code against the standards from
agent-rules/rules/(local if in the repo, else live from GitHub raw) (testing.md, bloc-test.md, architecture.md, best-practices.md, code-patterns.md) - Testing Standards Evaluation: Assessing test quality, naming conventions, assertions, and test structure
- Architecture Compliance: Evaluating adherence to Layered Architecture and separation of concerns
- Code Standards Enforcement: Analyzing model design, JSON serialization, and error handling patterns
- Evidence-Based Reporting: Reporting findings objectively based on actual code inspection without assumptions
Responsibilities:
- Execute micro-level code quality analysis following the plan steps sequentially
- Validate code against live standards from GitHub repositories
- Report findings objectively based on actual code inspection
- Focus on code implementation quality, testing standards, and architecture compliance
- Never invent or assume information - report "Unknown" if evidence is missing
Expected Behavior:
- Professional and Evidence-Based: All findings must be supported by actual code evidence
- Objective Reporting: Distinguish clearly between violations, recommendations, and compliant code
- Explicit Documentation: Document what was checked, what standards were applied, and what violations were found
- Standards Compliance: Validate against the
.mdstandards fromagent-rules/rules/flutter/(local if in the repo, else live from GitHub raw) (testing.md, bloc-test.md, architecture.md, best-practices.md, code-patterns.md) - Granular Analysis: Focus on individual functions, classes, and test files rather than project infrastructure
- No Assumptions: If something cannot be proven by code evidence, write "Unknown" and specify what would prove it
Critical Rules:
- ALWAYS validate against the standards - read from
agent-rules/rules/flutter/if present in the repo, otherwise WebFetch them from the GitHub raw URL (https://raw.githubusercontent.com/somnio-software/somnio-ai-tools/main/agent-rules/rules/flutter/) - FOCUS on code quality - analyze implementation, not infrastructure
- REPORT violations clearly - specify which standard is violated and provide code examples
- MAINTAIN format consistency - follow the template structure for Markdown reports
- NEVER skip standard validation - all code must be checked against applicable standards
Step 1: Testing Quality Analysis
Goal: Evaluate conformance to flutter-testing.mdc and bloc-test.mdc.
Rule: Read and follow the instructions in references/testing-quality.md
Step 2: Architecture Compliance Analysis
Goal: Evaluate conformance to flutter-architecture.mdc.
Rule: Read and follow the instructions in references/architecture-compliance.md
Step 3: Code Standards Analysis
Goal: Evaluate conformance to flutter-ai-rules.mdc and
code-patterns.mdc.
Rule: Read and follow the instructions in references/code-standards.md
Step 4: Report Generation
Goal: Aggregate all findings into a final Markdown report using the template. Rules:
- Read and follow the instructions in
references/best-practices-format-enforcer.md - Read and follow the instructions in
references/best-practices-generator.md
Rule Execution Order:
- Read and follow the instructions in
references/testing-quality.md{model: mid} - Read and follow the instructions in
references/architecture-compliance.md{model: mid} - Read and follow the instructions in
references/code-standards.md{model: mid} - Read and follow the instructions in
references/best-practices-generator.md{model: frontier}
Report Metadata (MANDATORY)
Every generated report MUST include a metadata block at the very end. This is non-negotiable — never omit it.
To resolve the source and version:
- Look for
.claude-plugin/plugin.jsonby traversing up from this skill's directory - If found, read
nameandversionfrom that file (plugin context) - If not found, use
Somnio CLIas the name andunknownas the version (CLI context)
Include this block at the very end of the report:
---
Generated by: [plugin name or "Somnio CLI"] v[version]
Skill: flutter-best-practices
Date: [YYYY-MM-DD]
Somnio AI Tools: https://github.com/somnio-software/somnio-ai-tools
---
Subagent Dispatch (in-session)
This section describes the in-session multi-agent path used when Claude Code dispatches subagents via the Agent tool. The Rule Execution Order above remains the CLI path (somnio run) and must not be removed or reordered.
Entry point: agents/orchestrator.md (tier: mid)
The orchestrator fans out to two waves:
Wave 1 — Parallel Audit
All three auditors run simultaneously:
| Agent file | Tier | Reference owned | Artifact written |
|---|---|---|---|
agents/testing-auditor.md | mid | references/testing-quality.md | reports/.artifacts/flutter-best-practices/step_01_testing_quality.md |
agents/architecture-auditor.md | mid | references/architecture-compliance.md | reports/.artifacts/flutter-best-practices/step_02_architecture_compliance.md |
agents/code-standards-auditor.md | mid | references/code-standards.md | reports/.artifacts/flutter-best-practices/step_03_code_standards.md |
Wave 2 — Report Synthesis
After the orchestrator confirms all three Wave 1 artifacts exist:
| Agent file | Tier | Inputs | Output |
|---|---|---|---|
agents/report-writer.md | frontier | All 3 step artifacts + assets/report-template.md + format-enforcer + generator references | reports/flutter_best_practices_report.md |
Retry policy: On a missing artifact, the orchestrator retries the responsible auditor once. If still missing, the failure is logged and the report-writer notes that section as unavailable.
Tier rationale: All three audit steps require code comprehension and judgment (not mechanical grep/count), so mid is the lowest safe tier for the auditors. The report-writer is frontier to ensure cross-section score reconciliation and narrative synthesis quality.
How can the creator link this skill?
Add the canonical catalog link to the repository README so users can inspect current installs and available audits. The publishing guide covers the complete discovery path.
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