OpenAPI Toolkit (googleai_dart)

openapi-toolkit-googleai-dart

Automates updating googleai_dart when Google AI OpenAPI spec changes. Fetches latest spec, compares against current, generates changelogs and prioritized implementation plans. Use for: (1) Checking for API updates, (2) Generating implementation plans for spec changes, (3) Creating new models/endp...

mattnigh/skills_collection·0installs24stars

SKILL.md

Full skill instructions

OpenAPI Toolkit (googleai_dart)

Uses shared scripts from openapi-toolkit with googleai_dart-specific configuration.

Prerequisites

GEMINI_API_KEY or GOOGLE_AI_API_KEY environment variable set
Working directory: Repository root
Python 3

Spec Registry

Spec	Description	Auth Required
`main`	Core Gemini API (generation, embeddings, files, models, etc.)	Yes
`interactions`	Experimental Interactions API (server-side state, agents)	No

Workflow

1. Fetch Latest Specs

# Fetch all specs + auto-discover new ones
python3 .claude/shared/openapi-toolkit/scripts/fetch_spec.py \
  --config-dir .claude/skills/openapi-toolkit-googleai-dart/config

# Fetch specific spec only
python3 .claude/shared/openapi-toolkit/scripts/fetch_spec.py \
  --config-dir .claude/skills/openapi-toolkit-googleai-dart/config --spec main

Output: /tmp/openapi-toolkit-googleai-dart/latest-main.json, /tmp/openapi-toolkit-googleai-dart/latest-interactions.json

2. Analyze Changes

python3 .claude/shared/openapi-toolkit/scripts/analyze_changes.py \
  --config-dir .claude/skills/openapi-toolkit-googleai-dart/config \
  packages/googleai_dart/specs/openapi.json /tmp/openapi-toolkit-googleai-dart/latest-main.json \
  --format all \
  --changelog-out /tmp/openapi-toolkit-googleai-dart/changelog-main.md \
  --plan-out /tmp/openapi-toolkit-googleai-dart/plan-main.md

Generates:

changelog-main.md - Human-readable change summary
plan-main.md - Prioritized implementation plan (P0-P4)

3. Implement Changes

Before implementing, read references/implementation-patterns.md for:

Model class structure and conventions
Enum naming patterns
JSON serialization patterns
Test patterns and PR templates

Use templates from ../../shared/openapi-toolkit/assets/:

model_template.dart - Model class structure
enum_template.dart - Enum type structure
test_template.dart - Unit test structure
example_template.dart - Example file structure

3.5 Update Documentation (MANDATORY)

Before running the review checklist, update all documentation:

README.md - Add/update:
- New resources to Features section
- New resources to API Coverage section
- New example references in Examples section
example/ - Create/update:
- {feature}_example.dart for each new resource
CHANGELOG.md - Add entry for new features/changes

4. Review & Validate (MANDATORY)

Perform the four-pass review documented in references/REVIEW_CHECKLIST.md:

# Pass 2: Barrel file verification
python3 .claude/shared/openapi-toolkit/scripts/verify_exports.py \
  --config-dir .claude/skills/openapi-toolkit-googleai-dart/config

# Pass 3: Documentation completeness
python3 .claude/shared/openapi-toolkit/scripts/verify_readme.py \
  --config-dir .claude/skills/openapi-toolkit-googleai-dart/config
python3 .claude/shared/openapi-toolkit/scripts/verify_examples.py \
  --config-dir .claude/skills/openapi-toolkit-googleai-dart/config
python3 .claude/shared/openapi-toolkit/scripts/verify_readme_code.py \
  --config-dir .claude/skills/openapi-toolkit-googleai-dart/config

# Pass 4: Property-level verification
python3 .claude/shared/openapi-toolkit/scripts/verify_model_properties.py \
  --config-dir .claude/skills/openapi-toolkit-googleai-dart/config

# Dart quality checks (run from packages/googleai_dart)
cd packages/googleai_dart && dart analyze --fatal-infos && dart format --set-exit-if-changed . && dart test test/unit/

Pass 4 is critical - catches missing properties in parent models (e.g., Tool, Candidate).

5. Finalize

# Copy fetched specs to persisted locations
cp /tmp/openapi-toolkit-googleai-dart/latest-main.json packages/googleai_dart/specs/openapi.json
cp /tmp/openapi-toolkit-googleai-dart/latest-interactions.json packages/googleai_dart/specs/openapi-interactions.json

# Run quality checks (from packages/googleai_dart)
cd packages/googleai_dart && dart test && dart analyze && dart format --set-exit-if-changed .

Package-Specific References

Package Guide - Package structure, naming conventions
Implementation Patterns - Model conventions, serialization patterns
Review Checklist - Four-pass validation process

Troubleshooting

API key error: Export GEMINI_API_KEY or GOOGLE_AI_API_KEY
Network errors: Check connectivity; retry after a few seconds
No changes detected: Summary shows all zeros; no action needed
New specs discovered: Add them to config/specs.json and re-run

Install skill

Copy and run in your terminal

npx -y skills add https://github.com/mattnigh/skills_collection --skill davidmigloz__ai_clients_dart__claude__skills__openapi-toolkit-googleai-dart__SKILL.md

View on GitHub

collection/davidmigloz__ai_clients_dart__claude__skills__openapi-toolkit-googleai-dart__SKILL.md

frontend-design
Create distinctive, production-grade frontend interfaces with high design quality. Use this skill when the user asks to build web components, pages, or applications, OR when they provide screenshots/images/designs to replicate or draw inspiration from. For screenshot inputs, extracts design guide...
1 installs
animation-motion
CSS animations, transitions, and scroll-driven effects with accessibility (prefers-reduced-motion). Use when adding motion, hover effects, loading states, or scroll-based animations.
1 installs
laravel
Laravel v12 - The PHP Framework For Web Artisans
1 installs
gemini-document-processing
Guide for implementing Google Gemini API document processing - analyze PDFs with native vision to extract text, images, diagrams, charts, and tables. Use when processing documents, extracting structured data, summarizing PDFs, answering questions about document content, or converting documents to...
0 installs

More skills from mattnigh

mattnigh/skills_collection

spring-framework-patterns

Comprehensive Spring Framework and Spring Boot best practices including dependency injection patterns, bean lifecycle and scopes, REST API development, Spring Data JPA, service layer design, Spring Security, testing strategies, caching, AOP, async processing, error handling, and common anti-patte...

24 0

View

mattnigh/skills_collection

When Stuck - Problem-Solving Dispatch

Dispatch to the right problem-solving technique based on how you're stuck

24 0

View

mattnigh/skills_collection

.claude/skills/type-safety-patterns/SKILL.md

TypeScript厳格モードによる型安全性設計を専門とするスキル。 📖 参照書籍: - 『Effective TypeScript』（Dan Vanderkam）: 型設計 📚 リソース参照: - `resources/Level1_basics.md`: レベル1の基礎ガイド - `resources/Level2_intermediate.md`: レベル2の実務ガイド - `resources/Level3_advanced.md`: レベル3の応用ガイド - `resources/Level4_expert.md`: レベル4の専門ガイド - `resources/di...

24 0

View

mattnigh/skills_collection

deploying-cloud-k8s

Deploys applications to cloud Kubernetes (AKS/GKE/DOKS) with CI/CD pipelines. Use when deploying to production, setting up GitHub Actions, troubleshooting deployments. Covers build-time vs runtime vars, architecture matching, and battle-tested debugging.

24 0

View

mattnigh/skills_collection

moai-alfred-agent-guide

19-agent team structure, decision trees for agent selection, Haiku vs Sonnet model selection, and agent collaboration principles. Use when deciding which sub-agent to invoke, understanding team responsibilities, or learning multi-agent orchestration.

24 0

View

mattnigh/skills_collection

mermaid-diagram-generator

Converts architecture descriptions, module specs, or workflow docs into Mermaid diagrams. Use when visualizing brick module relationships, workflows (DDD, investigation), or system architecture. Supports: flowcharts, sequence diagrams, class diagrams, state machines, entity relationship diagrams,...

24 0

View

mattnigh/skills_collection

pre-flight-check

INVOKE FIRST before any code work. Validates git workflow (branch, issue, worklog) and checks approach. Use at START of every task and END before completing. Prevents skipped steps.

24 0

View

mattnigh/skills_collection

browser-dev-tools

This skill should be used when working with browser-rendered artifacts (i.e. Bun, React/React Native) to proactively validate that development work on localhost is being built appropriately and to support debugging browser-rendered content. Use this skill after making frontend changes to verify t...

24 0

View

mattnigh/skills_collection

lead-dev

Lead Développeur - Coordination technique opérationnelle, code review, mentoring et livraison. Pair de web-dev-process au niveau OPÉRATIONS.

24 0

View

mattnigh/skills_collection

worker-monitor

Monitor Docker workers, RQ queue health, and auto-scale workers (max 4). Use when: checking job progress, monitoring queue depth, scaling workers up/down, diagnosing slow processing, or waiting for jobs to complete. Referenced by data-quality skill during reprocessing.

24 0

View

mattnigh/skills_collection

quality-advisor

Proactive quality guidance system that monitors artifact creation and provides real-time feedback on documentation quality

24 0

View

mattnigh/skills_collection

bump-version

This skill should be used when the user wants to bump the version number in the workspace. It updates versions across all pyproject.toml files (root, tde, and tda packages) and the CHANGELOG.md to keep them synchronized.

24 0

View