DevOps & CI/CD plugins

User-facing surface for Ruflo's self-learning system: 6 neural_* + 10 hooks_intelligence_* + 6 routing/meta hooks + 3 hooks_model-* + 4 SONA/MicroLoRA tools (29 total). Implements the 4-step pipeline (RETRIEVE → JUDGE → DISTILL → CONSOLIDATE) and IPFS-based cross-project pattern transfer.

Editorial "DevOps & Cloud" bundle for Claude Code from Agentic Awesome Skills.

Editorial "Azure AI & Cloud" bundle for Claude Code from Agentic Awesome Skills.

Editorial "AAS DevOps & Cloud" bundle for Claude Code from Agentic Awesome Skills.

Complete DevOps automation for deployment, monitoring, and incident response

Guides developers from brand discovery through iterative design to deployment-ready HTML via Stitch.

Cloud architecture design for AWS/Azure/GCP/OCI, Kubernetes cluster configuration, Terraform infrastructure-as-code, hybrid cloud networking, and multi-cloud cost optimization

ETL pipeline construction, data warehouse design, batch processing workflows, and data-driven feature development

Deployment patterns, rollback automation, and infrastructure templates

Schema validation, data quality monitoring, streaming validation pipelines, and input validation for backend APIs

Kubernetes manifest generation, networking configuration, security policies, observability setup, GitOps workflows, and auto-scaling

CI/CD pipeline configuration, GitHub Actions/GitLab CI workflow setup, and automated deployment pipeline orchestration

Pre-deployment checks, configuration validation, and deployment readiness assessment

Portable operating method: session lifecycle agents (session-start/end), pre-ship code review, deploy with live verification, and production log health check. All agents use {{placeholders}} that adapt to your project.

ML model training pipelines, hyperparameter tuning, model deployment automation, experiment tracking, and MLOps workflows

Customer support workflow automation, sales pipeline management, email campaigns, and CRM integration

Production-grade academic research pipeline for Claude Code: research → write → review → revise → finalize. 4 skills, 27 modes, 39-agent ensemble, v3.7.3 + v3.8 L3 claim-faithfulness gate, v3.9.0 cross-index triangulation, v3.10 triangulation policy layer, v3.11 deterministic citation verification gate (#182).

GitLab DevOps platform integration. Manage repositories, merge requests, CI/CD pipelines, issues, and wikis. Full access to GitLab's comprehensive DevOps lifecycle tools.

Generate and publish a project status artifact — an opinionated, tabbed status page (overview & success criteria, the workstream sequence, next steps, plus background / plan / risks & open questions / decisions-FAQ when they earn a tab) published via the built-in Artifact tool to a default-private claude.ai page the user can share with teammates. Each artifact is backed by a per-project config, so 'refresh the artifact' re-gathers live state, redeploys the same URL, and reports only the delta. Domain-neutral, with a software specialization for projects whose workstreams are pull requests. Needs the built-in Artifact tool (claude.ai login).

Connect Claude to a private MCP server through an Anthropic MCP tunnel. Drives the Docker Compose quickstart end to end: certificates, proxy config, cloudflared, and a verifiable sample server.

The Terraform MCP Server provides seamless integration with Terraform ecosystem, enabling advanced automation and interaction capabilities for Infrastructure as Code (IaC) development.

33 C-level advisory skills + c-level-agents plugin layer (13 cs-* persona agents + 21 /cs:* slash commands). Complete virtual board of directors with CEO, CTO, COO, CPO, CMO, CFO, CRO, CISO, CHRO advisors plus General Counsel, Chief Data Officer, Chief AI Officer, Chief Customer Officer, and VP of Engineering (delivery throughput DORA analyzer, eng hiring funnel calculator, eng team structure designer), executive mentor, founder coach, Chief of Staff router, board meetings, decision logger, board deck builder, scenario war room, competitive intel, org health diagnostic, M&A playbook, international expansion, culture architect, change management, strategic alignment, and the founder-mode plugin (office-hours, boardroom, brief/decide/execute/post-mortem pipeline, cross-model consensus, decision freeze).

VP of Engineering advisory: delivery throughput analyzer (DORA 4 metrics + cycle-time bottleneck identification), eng hiring funnel calculator (7-stage conversion + pipeline gap + weakest-stage fixes), eng team structure designer (squad/tribe model + manager-trigger + director-trigger + span-of-control). 4 in-depth references: DORA framework, eng hiring funnel, eng team structure (Conway's Law), production discipline (on-call, incidents, deployment, SLOs). Stdlib-only. Standalone-installable; also bundled in c-level-skills. NOT a CTO skill — VPE owns how the team ships, CTO owns what to build.

Docker and container development agent skill and plugin for Dockerfile optimization, docker-compose orchestration, multi-stage builds, and container security hardening. Covers build performance, layer caching, and production-ready container patterns.

EU AI Act (Regulation (EU) 2024/1689) operational compliance specialist for compliance teams. Three deterministic tools: AI system risk classifier (Article 5 prohibited / Article 6 + Annex III high-risk / Article 50 limited-risk / minimal-risk per the binding regulation), conformity assessment planner (Article 43 Module A vs Module H + notified-body routing + Annex IV technical documentation checklist), obligation tracker (provider/deployer/importer/distributor obligations matrix per Title III Chapter 3 + GPAI obligations per Articles 51-55). 4 in-depth references: Titles I-XII Article-by-Article walkthrough, Annex III 8 high-risk categories with Article 6(2) carve-outs, GPAI obligations including systemic-risk threshold, cross-framework mapping to ISO 42001 + NIST AI RMF + GDPR. Stdlib-only. Built for compliance officers executing Article-level conformity work — not for executive AI strategy (see chief-ai-officer-advisor for that).

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).

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.

Use when planning video content strategy, writing video scripts, optimizing YouTube channels, building short-form video pipelines (Reels, TikTok, Shorts), or repurposing long-form content into video.

A disciplined coding pipeline that grounds code in verified structure before a line is written: Discuss -> Map -> Decompose -> Execute -> Verify, with a lazy-senior-dev YAGNI ladder that deletes unnecessary code first. No invented APIs, no assumed imports, no placeholder code. Opt-in for high-stakes, complex, or multi-file work; not for trivial edits. Synthesizes four MIT/open-source projects (Ralph, GSD Core, Graphify, Ponytail).

Helm chart development agent skill and plugin for Claude Code, Codex, Gemini CLI, Cursor, OpenClaw — chart scaffolding, values design, template patterns, dependency management, security hardening, and chart testing.

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.

Founder-mode executive team plugin: 13 cs-* C-suite agents (CFO, CMO, CRO, CPO, COO, CHRO, CISO, Chief of Staff, General Counsel, Chief Data Officer, Chief AI Officer, Chief Customer Officer, VP of Engineering) plus 21 /cs:* slash commands for forcing-question office hours (incl. /cs:vpe-review), multi-role boardroom deliberation, strategic sprint pipeline, and meta routing. Wraps the 33 c-level skills (including vpe-advisor with delivery throughput DORA analyzer + eng hiring funnel calculator + eng team structure designer) with cognitive gearing and artifact handoffs.

4 business & growth skills plus a router: customer success manager (health scoring, churn), sales engineer (RFP analysis, PoC planning), revenue operations (pipeline, forecast accuracy, GTM), and contract & proposal writer. Agent skill and plugin for Claude Code, Codex, Gemini CLI, Cursor, OpenClaw.

Snowflake SQL, data pipelines (Dynamic Tables, Streams+Tasks), Cortex AI functions, Snowpark Python, and dbt integration. Includes query helper script, 3 reference guides, and troubleshooting.

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.

Terraform infrastructure-as-code agent skill and plugin for module design patterns, state management strategies, provider configuration, security hardening, and CI/CD plan/apply workflows. Covers mono-repo vs multi-repo, workspaces, policy-as-code, and drift detection.

Developer experience essentials: GitHub Actions debugging, conversation half-cloning, context handoffs, research (Reddit and Hacker News), private GitHub search, and Claude Code version checks