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AVRA-CADAVRA AI Skills

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浏览 AVRA-CADAVRA 维护的已发布 AI 技能,比较用途与说明,并通过来源仓库了解安装方式。

作者统计

已收录技能

60

收录技能的仓库 Stars 合计

0

仓库 Forks

0

平均每个技能的仓库 Stars

0

同一仓库中的多个技能可能共享 Stars,合计包含重复仓库数据。

60 个技能

全部技能

GitHub

test-quality-enforcement

AVRA-CADAVRA

Enforces test quality standards: behavior-focused tests, no property-only tests, round-trip JSON, comprehensive test blocks. Use when writing tests, reviewing test code, or ensuring test quality.

GitHub

experiment-testing-standards

AVRA-CADAVRA

Enforces experiment testing standards: real implementation testing, no simplified approximations, exact formula matching. Use when creating experiments, testing algorithms, or validating mathematical implementa...

GitHub

integration-test-patterns

AVRA-CADAVRA

Guides integration test patterns: end-to-end workflows, cross-layer testing, real dependencies, no mocks unless approved. Use when writing integration tests, testing complete features, or validating system inte...

GitHub

widget-test-patterns

AVRA-CADAVRA

Guides widget test patterns: BLoC testing, user interactions, state changes, material app setup. Use when writing widget tests, testing UI components, or validating widget behavior.

GitHub

test-implementation-requirements

AVRA-CADAVRA

Enforces test implementation requirements: real dependencies, no mocks/stubs unless approved. Use when writing tests, reviewing test implementations, or ensuring tests use real functionality.

GitHub

test-coverage-requirements

AVRA-CADAVRA

Enforces test coverage requirements: models (100%), repositories (95%), BLoCs (100%), use cases (100%), services (90%). Use when writing tests, reviewing test coverage, or ensuring adequate test coverage.

GitHub

test-template-generation

AVRA-CADAVRA

Generates test templates: unit, widget, integration, service tests following project patterns. Use when creating new tests or ensuring tests follow project standards.

GitHub

logging-standards-enforcement

AVRA-CADAVRA

Enforces mandatory logging standards using developer.log() instead of print(). Use when writing production code, reviewing code, or fixing logging violations.

GitHub

file-organization-standards

AVRA-CADAVRA

Enforces file naming conventions, directory structure, one class per file, Clean Architecture layer placement. Use when creating new files, organizing code, or refactoring file structure.

GitHub

linter-error-prevention

AVRA-CADAVRA

Enforces zero linter errors, common issue prevention, code cleanup. Use when writing code, reviewing code, or ensuring code quality standards.

GitHub

code-documentation-standards

AVRA-CADAVRA

Enforces Dart doc comments for public APIs, parameter descriptions, usage examples. Use when writing public APIs, reviewing code, or ensuring documentation completeness.

GitHub

spots-philosophy-integration

AVRA-CADAVRA

Ensures all code aligns with SPOTS core philosophy: "Doors, not badges", meaningful connections, real-world enhancement. Use when implementing features, reviewing code, or making architectural decisions to vali...

GitHub

import-organization

AVRA-CADAVRA

Enforces import grouping (Dart SDK → Flutter → packages → relative), alphabetical order, unused import removal. Use when writing or reviewing code to ensure consistent import organization.

GitHub

security-validation-checklist

AVRA-CADAVRA

Guides security validation checklist: Signal protocol security, encryption standards, authentication patterns, data protection. Use when validating security, reviewing security implementations, or ensuring secu...

GitHub

privacy-protection-patterns

AVRA-CADAVRA

Enforces privacy protection patterns: anonymization, no PII in logs, secure data handling, GDPR compliance. Use when handling user data, implementing AI2AI, or ensuring privacy compliance.

GitHub

status-query-handling

AVRA-CADAVRA

Guides status query handling protocol: find all related documents (plan, progress, status, complete), synthesize comprehensive answer. Use when user asks about status, progress, or completion.

GitHub

expertise-system-implementation

AVRA-CADAVRA

Guides expertise system implementation: multi-path recognition, hierarchy (local → city → state → national), golden experts, visit quality. Use when implementing expertise calculations, expert recognition, or e...

GitHub

plan-discovery-workflow

AVRA-CADAVRA

Guides plan discovery workflow: glob search, recency filtering, relevance assessment, priority reading. Use when starting new tasks, finding related plans, or gathering context.

GitHub

hybrid-search-implementation

AVRA-CADAVRA

Guides hybrid search implementation: vector embeddings, keyword search, fusion algorithms, caching strategies. Use when implementing search, recommendation systems, or discovery features.

GitHub

dependency-injection-getit

AVRA-CADAVRA

Guides GetIt dependency injection patterns for service registration. Use when creating new services, registering dependencies, or refactoring service architecture.

GitHub

design-tokens-enforcement

AVRA-CADAVRA

Enforces design token usage (AppColors/AppTheme) instead of direct Colors.*. Use when writing UI code, reviewing widgets, or ensuring design consistency.

GitHub

quantum-matching-algorithms

AVRA-CADAVRA

Guides quantum matching implementation: state calculations, compatibility formulas, quantum entanglement matching patterns. Use when implementing matching algorithms, compatibility calculations, or quantum stat...

GitHub

ai2ai-learning-service

AVRA-CADAVRA

Guides AI2AI learning service implementation: personality spectrum, compatibility calculations, learning methods, anonymous data exchange. Use when implementing AI2AI learning, personality evolution, or peer le...

GitHub

business-partnership-patterns

AVRA-CADAVRA

Guides business partnership implementation: multi-party events, revenue sharing, vibe matching, pre-event agreements. Use when implementing partnerships, event collaborations, or revenue sharing features.

默认按已收录数据中的 GitHub 仓库 Stars 排序。Stars 属于来源仓库,同一仓库的多个技能可能共享相同数值;它反映仓库关注度,不代表单个技能的安装量或质量评分。