By Richyboy170
37 advanced engineering skills: agent designer, agent workflow designer, RAG architect, database designer + schema designer + SQL assistant, migration architect, observability designer, dependency auditor, changelog generator (with semantic version bumper and hotfix/rollback procedures), API design reviewer, API test suite builder, CI/CD pipeline builder, MCP server builder, skill security auditor, skill tester, performance profiler, focused-fix, browser-automation, full-page-screenshot, git-worktree-manager, monorepo-navigator, codebase-onboarding, interview-system-designer, runbook-generator, spec-driven-workflow, secrets-vault-manager, env-secrets-manager, pr-review-expert, self-eval, tc-tracker (task context tracker with lifecycle and handoff format), feature-flags-architect, kubernetes-operator, chaos-engineering, ship-gate (pre-production 8-category audit with deploy-intent intercept), slo-architect (SLO designer, error-budget calculator with multi-window burn-rate alerts, SLO reviewer per Google SRE Workbook), and tech-debt-tracker. Agent skill and plugin for Claude Code, Codex, Gemini CLI, Cursor, OpenClaw.
Based on adoption, maintenance, documentation, and repository signals. Not a security audit or endorsement.
Use when the user asks to create ERD diagrams, normalize database schemas, design table relationships, or plan schema migrations.
Use when the user asks to design a multi-agent system, pick an orchestration pattern (supervisor/swarm/pipeline), generate tool schemas for agents, or evaluate agent execution logs for cost, latency, and failure bottlenecks. Examples: 'design an agent architecture for research automation', 'generate Anthropic tool schemas from these tool descriptions', 'analyze these agent run logs for bottlenecks'. NOT for Claude Code workflow files (use workflow-builder) or single-agent prompt design (use agent-workflow-designer).
Design production-grade multi-agent workflows with clear pattern choice (sequential, parallel, hierarchical), handoff contracts, failure handling, and cost/context controls. Use when architecting a multi-step agent pipeline, choosing between single-agent vs multi-agent approaches, or refactoring an LLM workflow that suffers from context bloat or unreliable handoffs.
Comprehensive REST API design review with automated linting, breaking-change detection, and design scorecards. Catches inconsistent conventions, missing versioning, and design smells before APIs ship. Use when reviewing a PR that adds or changes API endpoints, auditing an existing API for v2 migration, or establishing API standards for a team.
Use when the user asks to generate API tests, create integration test suites, test REST endpoints, or build contract tests.
Spec-driven, artifact-first software delivery for deep agents.
BMAD-Method Agentic SDLC is a layered software development lifecycle for agentic delivery. It uses Claude Code agents, specialist personas, BMAD skills, commands, and optional deterministic workflows to take software work from idea discovery through PRD, architecture, evaluation, story implementation, QA review, and delivery.
This repository is not primarily a website or app. Generated apps, app/, and sandbox/ are working surfaces and experiments. The core product is the agentic SDLC system.
| Layer | Role | Examples |
|---|---|---|
| Agent teams | Own lifecycle phases and specialist perspectives | cs-engineering-lead, cs-planning-lead, code-reviewer |
| Skills | Execute repeatable methods and quality gates | bmad-prd, bmad-dev-story, bmad-testarch-nfr |
| Commands | Provide user-facing entry points | /cs:workflow-build |
| Artifacts | Carry context across phase boundaries | prd.md, .decision-log.md, sprint-status.yaml |
| Workflow automation | Makes repeatable multi-agent runs deterministic | .claude/workflows/*.js |
flowchart TD
U[User goal, raw idea, or artifact paths] --> L[cs-engineering-lead]
L --> R[Phase 1: Research and discovery]
R --> P[Phase 2: PRD and requirements planning]
P --> A[Phase 3: Architecture, stories, readiness]
A --> E[Phase 4: Story implementation]
E --> Q[Phase 5: Independent QA review]
Q --> D[Final delivery digest]
R -. owns .-> RL[cs-brainstorm-research-lead]
P -. owns .-> PL[cs-planning-lead]
A -. owns .-> PL
E -. routed by .-> L
Q -. dispatched by .-> L
D --> NX[Next handoff or release decision]
The lifecycle is intentionally gated. Agents do not just chat toward code; they create artifacts, hand them off, verify them, and keep implementation tied to specs and acceptance criteria.
| Phase | Coordinator | Specialists | Primary Skills | Output Artifacts |
|---|---|---|---|---|
| 1. Research and discovery | cs-brainstorm-research-lead | cs-market-researcher, cs-tech-researcher, cs-problem-solver, cs-innovation-strategist, cs-visual-researcher, cs-concept-synthesizer, plus cs-design-thinker / cs-ideation-strategist when interactive facilitation is needed | bmad-brainstorming, bmad-market-research, bmad-domain-research, bmad-technical-research, bmad-prfaq, bmad-product-brief | Locked problem and ICP, alternatives, evidence, wedge, risks, assumptions, validation test, visual manifest when applicable |
| 2. PRD and requirements planning | cs-planning-lead | cs-concept-to-prd-planner, cs-requirements-architect, cs-prd-work-planner, cs-evaluation-architect, cs-prd-quality-reviewer, cs-epic-story-planner | bmad-prd, bmad-ux, bmad-testarch-test-design, bmad-testarch-nfr, bmad-review-edge-case-hunter | prd.md, addendum.md, .decision-log.md, FR/NFR/UJ IDs, evaluation spine, open questions |
| 3. Architecture, stories, readiness | cs-planning-lead | Planning specialists plus architecture and story workflows | bmad-create-architecture, bmad-agent-architect, bmad-create-epics-and-stories, bmad-create-story, bmad-story-automator-review, bmad-check-implementation-readiness, bmad-sprint-planning, bmad-sprint-status | Architecture artifacts, ADR/design decisions, epics, ready-for-dev stories, sprint-status.yaml, readiness verdict |
| 4. Story implementation | cs-engineering-lead | cs-frontend-engineer, cs-backend-engineer, cs-fullstack-engineer, cs-senior-engineer, cs-karpathy-reviewer | bmad-dev-story, bmad-code-review, bmad-quick-dev, bmad-testarch-atdd, bmad-testarch-trace, bmad-testarch-test-review, bmad-checkpoint-preview | Changed files, tests/checks run, implementation notes, file list, story status moved to review |
| 5. Independent QA review | cs-engineering-lead | code-reviewer, security-auditor, test-engineer, web-performance-auditor | code-review-and-quality, security-and-hardening, test-driven-development, performance-optimization, browser-testing-with-devtools | Findings by severity, coverage gaps, security risks, performance risks, approve/request-changes verdict |
Own this plugin?
Verify ownership to unlock analytics, metadata editing, and a verified badge. GitHub access is read-only (username + org membership).
Sign in to claimOwn this plugin?
Verify ownership to unlock analytics, metadata editing, and a verified badge. GitHub access is read-only (username + org membership).
Sign in to claimnpx claudepluginhub richyboy170/agentic-sdlc-internship --plugin engineering-advanced-skillsAutonomous experiment loop that optimizes any file by a measurable metric. 5 slash commands, 8 evaluators, configurable loop intervals (10min to monthly).
Workflow-builder skill: design and write deterministic multi-agent workflow scripts (.js files in .claude/workflows/) for Claude Code's Workflow tool (CLAUDE_CODE_WORKFLOWS=1, /workflows). Every session opens with an intake question set; when the user is vague, a stdlib recommendation engine infers and proposes a topology with rationale instead of stalling. Ships 3 stdlib Python tools (intake recommendation engine, .js validator enforcing the pure-literal-meta / no-non-determinism / guarded-loop / parallel-thunk rules, topology scaffolder), 3 references citing 7-8 authoritative sources each (full API surface, orchestration patterns, decision + intake guide), templates + a runnable example, cs-workflow-architect persona agent + /cs:workflow-build slash command. Use when building, scaffolding, or running a custom Claude Code workflow or orchestrating sub-agents (fan-out, pipeline, loop, judge-panel).
End-to-end Kubernetes Operator discipline: CRD design, reconcile-loop patterns, and OperatorHub Capability Levels. Ships CRD validator, reconcile-loop linter, and capability auditor (3 stdlib Python tools), 4 references on the operator pattern + CRD design + reconcile patterns + framework comparison (controller-runtime/kubebuilder/operator-sdk/metacontroller/KOPF), CRD + Go controller skeletons, and /operator-audit slash command. NOT a generic k8s skill — specifically the Operator pattern.
Hypothesis testing, A/B experiment analysis, sample size calculation, and confidence intervals. 3 stdlib-only Python tools with Z-test, t-test, chi-square, effect sizes, power analysis, and Wilson score intervals.
End-to-end chaos engineering discipline: design experiments with hypothesis + steady-state metric + blast radius + abort criteria, calculate risk score against error budget, and generate blameless postmortems. 3 stdlib Python tools (experiment_designer, blast_radius_calculator, experiment_postmortem), 4 references on chaos principles + experiment design + 7-attack taxonomy + tooling landscape (Chaos Toolkit/Mesh/Litmus/Gremlin/AWS FIS/DIY), templates for plans + postmortems, and a /chaos-experiment slash command. Composes with feature-flags-architect (kill switches as abort triggers) and kubernetes-operator (chaos targets).
Comprehensive skill pack with 66 specialized skills for full-stack developers: 12 language experts (Python, TypeScript, Go, Rust, C++, Swift, Kotlin, C#, PHP, Java, SQL, JavaScript), 10 backend frameworks, 6 frontend/mobile, plus infrastructure, DevOps, security, and testing. Features progressive disclosure architecture for 50% faster loading.
A growing collection of Claude-compatible academic workflow bundles. Covers scientific figures, manuscript writing and polishing, reviewer assessment, citation retrieval, data availability, paper reading, literature search, response letters, paper-to-PPTX conversion, and evidence-grounded Chinese invention patent drafting. Rules are organized as reusable skill folders with explicit workflows and quality checks.
Harness-native ECC plugin for engineering teams - 67 agents, 271 skills, 92 legacy command shims, reusable hooks, rules, MCP conventions, and operator workflows for Claude Code plus adjacent agent harnesses
Tools to maintain and improve CLAUDE.md files - audit quality, capture session learnings, and keep project memory current.
Develop, test, build, and deploy Godot 4.x games with Claude Code. Includes GdUnit4 testing, web/desktop exports, CI/CD pipelines, and deployment to Vercel/GitHub Pages/itch.io.
Browser automation and end-to-end testing MCP server by Microsoft. Enables Claude to interact with web pages, take screenshots, fill forms, click elements, and perform automated browser testing workflows.