doc-ears-fixer
Automated fix skill that reads review reports and applies fixes to EARS documents - handles broken links, element IDs, missing files, and iterative improvement
Browse published AI skills maintained by vladm3105. Compare skill descriptions and follow each source repository for setup instructions.
Indexed skills
42Repository stars across indexed skills
242Repository forks
58Average repository stars per indexed skill
6Repository stars may repeat across skills from the same repository.
Automated fix skill that reads review reports and applies fixes to EARS documents - handles broken links, element IDs, missing files, and iterative improvement
Automated fix skill that reads review reports and applies fixes to PRD documents - handles broken links, element IDs, missing files, and iterative improvement
Automated fix skill that reads review reports and applies fixes to BRD documents - handles broken links, element IDs, missing files, and iterative improvement
Automated fix skill that reads review reports and applies fixes to CTR (Contract) documents - handles broken links, element IDs, missing files, dual-file synchronization, and iterative improvement
Automated fix skill that reads audit/review reports and applies fixes to BDD documents - handles broken links, element IDs, missing files, and iterative improvement
Automated fix skill that reads audit/review reports and applies fixes to ADR documents - handles broken links, element IDs, missing files, and iterative improvement
Create Architecture Decision Records (ADR) - Layer 5 artifact documenting architectural decisions with Context-Decision-Consequences format
Automated ADR generation pipeline from BRD Architecture Decision Requirements - analyzes topics, generates Context-Decision-Consequences records
Cross-document validation, traceability gaps, and project-wide consistency checks for SDD framework
Create Reference Documents (REF) - supplementary documentation that doesn't participate in formal traceability chain
Product Owner / Project Manager skill for MVP/MMP/MMR implementation planning
Intelligent skill suggestion engine that analyzes user intent and project context to recommend appropriate documentation skills
Improve code quality, reduce technical debt, restructure for maintainability
Validate and update bidirectional traceability across SDD artifacts
Create Atomic Requirements (REQ) - Layer 7 artifact using REQ v3.0 format with 12 sections, SPEC-readiness scoring, and IMPL-readiness scoring
Test and validate API contracts against specifications
Create Product Requirements Documents (PRD) following SDD methodology - Layer 2 artifact defining product features and user needs
Create System Requirements (SYS) - Layer 6 artifact defining functional requirements and quality attributes
AI-Driven Specification-Driven Development (SDD) workflow orchestrator - guides skill selection and general SDD methodology
Proactive quality guidance system that monitors artifact creation and provides real-time feedback on documentation quality
Review a single file or all files in a folder for data inconsistencies, reference errors, typos, and unclear terminology using parallel sub-agents
Layer 4 artifact for Behavior-Driven Development test scenarios using Gherkin Given-When-Then format
Security analysis, vulnerability assessment, and security code reviews
Create Technical Specifications (SPEC) - Layer 10 artifact using YAML format for implementation-ready specifications
The default order uses GitHub repository stars from our indexed data. Stars belong to the source repository and may be shared by multiple skills. They indicate repository interest, not skill installs or an independent quality score.