review-collector
Comprehensive validation of collector bot packages using 8 parallel specialized agents. Use to validate existing collector packages for compliance.
浏览 zerobias-org 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。
已收录技能
58收录技能的仓库 Stars 合计
0仓库 Forks
112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。
Comprehensive validation of collector bot packages using 8 parallel specialized agents. Use to validate existing collector packages for compliance.
Create a new collector bot package with automatic implementation and validation. Use when user wants to create a new collector from scratch.
Core testing principles applying to all unit and integration tests
Unit test patterns using nock for HTTP mocking without credentials
Gate 4a validation: Unit test creation and nock-only enforcement
HTTP mocking with nock - the only allowed mocking library
Test fixture organization, sanitization, and realistic response patterns
Gate 5 validation: Test execution and 100% pass rate requirement
Environment file (.env) patterns, test data, and credential loading
Integration test patterns using real API calls with credentials from .env
Gate 4b validation: Integration test creation and no-hardcoded-values enforcement
Spectral API linting configuration, rules, and validation for OpenAPI specs
Build quality standards, validation checkpoints, and compilation requirements
Code comment style guidelines - when to comment and when not to
TypeScript configuration standards and tsconfig.json patterns
Runtime mapper validation using debug logs to detect missing fields
The 12 critical OpenAPI rules that cause immediate task failure if violated
Security standards for credential handling and authentication
Mapper field validation process ensuring zero missing fields
Gate 1 validation: API specification quality checks
Documentation requirements including USERGUIDE.md and README.md
Phase output file naming conventions and format standards
Development tool commands and usage patterns
Data mapping patterns for transforming API responses to internal types
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。