Agent Skills by vladm3105
Showing 43 vetted skills indexed across 1 GitHub repositories.
doc-flow
Select artifact-specific skills across the 16-layer SDD workflow.
doc-tasks
Break down a completed SPEC into AI-structured TODO tasks with dependencies.
doc-iplan
Converts TASKS into session-based bash command sequences for IPLAN workflows.
doc-iplan-validator
Validate IPLAN documents against Layer 12 schema standards.
doc-tasks-validator
Validate TASKS documents against Layer 11 schema standards.
n8n
Design n8n workflows, custom nodes, and integrations across services.
doc-prd
Create 21-section Layer-2 PRDs from BRD inputs with validation rules and KPIs.
doc-req
Decompose BRD, PRD, and EARS inputs into atomic REQ v3.0 documents.
doc-sys
Generate Layer-6 System Requirements documents with traceability to upstream artifacts.
doc-brd
Create Layer 1 BRD artifacts defining business needs and strategic objectives.
doc-bdd
Generate Layer-4 BDD test scenarios in Gherkin Given-When-Then format.
doc-ref
Create BRD-REF and ADR-REF reference documents under docs/{TYPE}.
doc-adr
Create Architecture Decision Records with rationale, alternatives, and consequences.
doc-ctr
Create Layer 9 Data Contracts with Markdown and YAML files.
doc-spec
Convert completed SDD artifacts into machine-readable SPEC YAML documents.
doc-impl
Generate Layer 8 IMPL documents with WHO-WHEN-WHAT structure and traceability.
doc-ears
Create formal EARS Layer 3 requirements documents using WHEN-THE-SHALL-WITHIN syntax.
google-adk
Design, orchestrate, and deploy multi-agent systems in Python using Google ADK.
project-mngt
Analyzes BRD/PRD documents to create MVP/MMP/MMR implementation plans with progress tracking and release strategy.
security-audit
Identify security vulnerabilities across code, dependencies, infrastructure, and configurations.
quality-advisor
Validate documentation artifacts against SDD templates and tagging standards.
test-automation
Generate executable test suites from SDD artifacts across multiple frameworks.
context-analyzer
Scan project structure and parse artifact metadata to produce a structured context model.
skill-recommender
Parse user requests and rank documentation skills by confidence scores.