ai_sdlc_platform

Generate Sprint Stories from Master Story + sprint scope — ADO-ready PRD lift, UI/Figma, non-redundant sections

Generate Master Stories (feature-level) from PRD — for Sprint Stories use sprint-story-generator; for tech tasks use tech-task-generator

Understands natural English language queries and converts them to SDLC commands. Supports hybrid pattern matching + AI understanding. Asks for ADO work item if missing, shows non-closed items for quick selection. Works with any stage, any role.

One-command setup for AI-SDLC IDE Plugin. Installs dependencies, creates env, bootstraps .sdlc/, wires Claude Code commands, Cursor MCP, and validates everything.

Security validation for Java/TEJ/Spring backend code

Backend developer skill for Java 17, TEJ, RestExpress, Kafka, Gradle, PostgreSQL

Executive reporting - delegates to orchestrator/reporting/ for dashboards

Validate bundle size budgets, analyze package dependencies, detect redundancy, flag security vulnerabilities

Enforce module boundaries, detect circular dependencies, validate layer separation and import rules

Comprehensive profiling across CPU, memory, render, network, battery, and startup performance dimensions

Generate optimization recommendations and validate performance improvements against budgets and targets

Generate security remediation steps, fix strategies, and implementation guidance for vulnerabilities and issues

Full security pass (deps, AppSec, stability) — for secrets-only use shared/secrets-detector first

Frontend atomic skills - delegates to orchestrator/frontend/ for coordination

Performance testing skill - JMeter, Argo, load profiles, NFR validation

Product management — PRD, Master/Sprint stories (ADO-ready), analytics, gap analysis

QA atomic skills - delegates to orchestrator/qa/ for test coordination

Release management skill - release notes, compliance, SDLC reports

Enforce coding standards, guidelines compliance, and language style consistency

Detect state conflicts between local memory and Azure DevOps by comparing attributes and identifying divergences

Resolve state conflicts using 4 deterministic strategies (accept ADO, push local, manual merge, retry)

Generate OpenAPI, DB schema, and message schema contracts from design specifications

Auto-tag cross-team dependencies and track blocker relationships

Convert non-Markdown documents (docx, xlsx, pptx, html, pdf) to Markdown before AI processing

Atomic unit-test generation or validation against repo harness and coverage rule

Detect resource conflicts, skill gaps, and schedule blockers

Validate PR structure, naming, metadata, and file location conventions

PRD validation — completeness, clarity, testability, feasibility, and ADO-ready copy tables

Pre-grooming brief — team context, risks, aligned to story templates and AUTHORING_STANDARDS

Atomic skill — detect secrets, credentials, and sensitive strings in code and config (invoke before broader security-scan)

Merge state from local memory and ADO across branches, managing tags, comments, and metadata

Validate Master and Sprint Stories — template sections, ADO-ready PRD lift, UI/Figma, non-redundancy, AC quality

Atomic Azure Boards sync — compose with ask-first CRUD; use observer for inbound events

Generate Tech Stories grounded in system design, Master Story, and Sprint Story — implementation SSoT, impact, non-regression

Expand Sprint Story (+ Tech Story when present) into task files — traceability, regression, no invented scope

Atomic doc update — align README, wiki paths, ADRs, and User_Manual when behavior or contracts change

TPM skill - cross-pod coordination, dependency management, pre-grooming

UI/UX Designer skill - Figma fidelity, design system, component specifications