By Richyboy170
End-to-end SLO/SLI/error-budget discipline per Google SRE Workbook. Ships SLO designer (refuses to render without required fields), error-budget calculator with multi-window burn-rate alert thresholds (PromQL-shaped), and SLO reviewer that catches the 7 common bugs (target too high, window too short, no SLI definition, CPU-as-SLI, etc.). 4 references on principles + SLI design + error budget math + composition with feature-flags-architect/chaos-engineering/kubernetes-operator. Asset templates for SLO YAML and error budget policy. /slo-design slash command. NOT a generic observability skill.
Based on adoption, maintenance, documentation, and repository signals. Not a security audit or endorsement.
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 |
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Sign in to claimnpx claudepluginhub richyboy170/agentic-sdlc-internship --plugin slo-architectAutonomous 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).
UI/UX design intelligence. 67 styles, 161 palettes, 57 font pairings, 25 charts, 15 stacks (React, Next.js, Vue, Svelte, Astro, SwiftUI, React Native, Flutter, Tailwind, shadcn/ui, Nuxt, Jetpack Compose). Actions: plan, build, create, design, implement, review, fix, improve, optimize, enhance, refactor, check UI/UX code. Projects: website, landing page, dashboard, admin panel, e-commerce, SaaS, portfolio, blog, mobile app. Elements: button, modal, navbar, sidebar, card, table, form, chart. Styles: glassmorphism, claymorphism, minimalism, brutalism, neumorphism, bento grid, dark mode, responsive, skeuomorphism, flat design. Topics: color palette, accessibility, animation, layout, typography, font pairing, spacing, hover, shadow, gradient.
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.
This skill should be used when users need to generate ideas, explore creative solutions, or systematically brainstorm approaches to problems. Use when users request help with ideation, content planning, product features, marketing campaigns, strategic planning, creative writing, or any task requiring structured idea generation. The skill provides 30+ research-validated prompt patterns across 14 categories with exact templates, success metrics, and domain-specific applications.
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.
Upstash Context7 MCP server for up-to-date documentation lookup. Pull version-specific documentation and code examples directly from source repositories into your LLM context.
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.