engineering-advanced-skills

$npx mdskill add alirezarezvani/claude-skills/engineering-advanced-skills

37 advanced engineering skills for complex architecture, automation, reliability, and platform operations.

SKILL.md

.github/skills/engineering-advanced-skillsView on GitHub ↗
---
name: "engineering-advanced-skills"
description: "Index of 37 advanced engineering agent skills for Claude Code, Codex, Gemini CLI, Cursor, OpenClaw. Use when browsing or choosing among the POWERFUL-tier engineering skills: agent design, RAG, MCP servers, CI/CD, database design, observability, security auditing, changelog/release automation, reliability (SLO/chaos/flags/operators), platform ops."
license: MIT
metadata:
  version: 2.9.0
  author: Alireza Rezvani
  tags:
    - engineering
    - architecture
    - agents
    - rag
    - mcp
    - ci-cd
    - observability
  agents:
    - claude-code
    - codex-cli
    - openclaw
---

# Engineering Advanced Skills (POWERFUL Tier)

37 advanced engineering skills for complex architecture, automation, reliability, and platform operations.

## Quick Start

### Claude Code
```
/read engineering/skills/agent-designer/SKILL.md
```

### Codex CLI
```bash
npx agent-skills-cli add alirezarezvani/claude-skills/engineering
```

## Skills Overview

| Skill | Folder | Focus |
|-------|--------|-------|
| Agent Designer | `agent-designer/` | Multi-agent architecture: plan, schema-generate, evaluate |
| Agent Workflow Designer | `agent-workflow-designer/` | Workflow orchestration scaffolds |
| API Design Reviewer | `api-design-reviewer/` | REST/GraphQL linting, breaking changes |
| API Test Suite Builder | `api-test-suite-builder/` | API test generation |
| Browser Automation | `browser-automation/` | Playwright/Selenium automation patterns |
| Changelog Generator | `changelog-generator/` | Changelogs, semantic version bumps, hotfix/rollback discipline |
| Chaos Engineering | `chaos-engineering/` | Experiment design, blast-radius, postmortems |
| CI/CD Pipeline Builder | `ci-cd-pipeline-builder/` | Pipeline generation |
| Codebase Onboarding | `codebase-onboarding/` | New dev onboarding guides |
| Database Designer | `database-designer/` | Schema analysis, index optimization, migrations |
| Database Schema Designer | `database-schema-designer/` | ERD, normalization |
| Dependency Auditor | `dependency-auditor/` | Dependency security scanning |
| Env Secrets Manager | `env-secrets-manager/` | Secrets rotation, vault |
| Feature Flags Architect | `feature-flags-architect/` | Flag debt, rollout plans, kill switches |
| Focused Fix | `focused-fix/` | Systematic feature/module repair |
| Full Page Screenshot | `full-page-screenshot/` | Full-page capture tooling |
| Git Worktree Manager | `git-worktree-manager/` | Parallel branch workflows |
| Interview System Designer | `interview-system-designer/` | Hiring pipeline design |
| Kubernetes Operator | `kubernetes-operator/` | CRD validation, reconcile linting |
| MCP Server Builder | `mcp-server-builder/` | MCP tool creation |
| Migration Architect | `migration-architect/` | System migration planning |
| Monorepo Navigator | `monorepo-navigator/` | Monorepo tooling |
| Observability Designer | `observability-designer/` | Dashboards, alert noise (SLOs → slo-architect) |
| Performance Profiler | `performance-profiler/` | CPU, memory, load profiling |
| PR Review Expert | `pr-review-expert/` | Pull request analysis |
| RAG Architect | `rag-architect/` | RAG design, chunking, retrieval evaluation |
| Runbook Generator | `runbook-generator/` | Operational runbooks |
| Secrets Vault Manager | `secrets-vault-manager/` | Vault patterns, HCL |
| Self-Eval | `self-eval/` | Honest work-quality scoring |
| Ship Gate | `ship-gate/` | Pre-production audit (89 checks) |
| Skill Security Auditor | `skill-security-auditor/` | Skill vulnerability scanning |
| Skill Tester | `skill-tester/` | Skill quality evaluation |
| SLO Architect | `slo-architect/` | SLO/SLI design, error budgets, burn-rate alerts |
| Spec-Driven Workflow | `spec-driven-workflow/` | Spec-first development gates |
| SQL Database Assistant | `sql-database-assistant/` | Query optimization, 4 dialects |
| TC Tracker | `tc-tracker/` | Task context lifecycle + handoffs |
| Tech Debt Tracker | `tech-debt-tracker/` | Debt scan → prioritize → dashboard |

Note: release management merged into `changelog-generator/` (version bumper + hotfix/rollback procedures live there now).

## Rules

- Load only the specific skill SKILL.md you need
- These are advanced skills — combine with engineering-team/ core skills as needed

More from alirezarezvani/claude-skills

SkillDescription
a11y-auditAccessibility audit skill for scanning, fixing, and verifying WCAG 2.2 Level A and AA compliance across React, Next.js, Vue, Angular, Svelte, and plain HTML codebases. Use when auditing accessibility, fixing a11y violations, checking color contrast, generating compliance reports, or integrating accessibility checks into CI/CD pipelines.
ab-test-setupWhen the user wants to plan, design, or implement an A/B test or experiment. Also use when the user mentions "A/B test," "split test," "experiment," "test this change," "variant copy," "multivariate test," "hypothesis," "conversion experiment," "statistical significance," or "test this." For tracking implementation, see analytics-tracking.
ad-creativeWhen the user needs to generate, iterate, or scale ad creative for paid advertising. Use when they say 'write ad copy,' 'generate headlines,' 'create ad variations,' 'bulk creative,' 'iterate on ads,' 'ad copy validation,' 'RSA headlines,' 'Meta ad copy,' 'LinkedIn ad,' or 'creative testing.' This is pure creative production — distinct from paid-ads (campaign strategy). Use ad-creative when you need the copy, not the campaign plan.
adversarial-reviewerAdversarial code review that breaks the self-review monoculture. Use when you want a genuinely critical review of recent changes, before merging a PR, or when you suspect Claude is being too agreeable about code quality. Forces perspective shifts through hostile reviewer personas that catch blind spots the author's mental model shares with the reviewer.
aeoAnswer Engine Optimization (AEO) skill — optimize content to be cited by AI language models (ChatGPT, Perplexity, Claude, Gemini, Mistral) as authoritative sources. Distinct from SEO — AEO optimizes for citation in LLM-generated responses, not search rankings. Use when planning content for AI-first search audiences, auditing existing content for E-E-A-T signals, tracking which pages get cited by which LLMs, or building a citation-friendly content strategy. Triggers — 'AEO audit', 'optimize for ChatGPT', 'get cited by Perplexity', 'LLM citation strategy', 'answer engine optimization', 'content for AI search', 'E-E-A-T audit'. Output is a markdown audit report (default) or JSON for pipeline integration. Stdlib-only Python tools.
agent-decision-receiptsMint a tamper-evident, post-quantum-signed receipt for a consequential agent action (deploy, delete, pay, grant-access, model decision) so it can be verified later from the certificate alone. Use when an autonomous agent takes a side-effecting action that may need to be proven later, or when satisfying EU AI Act Article 12 record-keeping. Three decisions: whether an action needs a receipt, minting it, verifying it. Signing is delegated to the open-source OpenAgentOntology package. Not after-the-fact log analysis; not a hosted notary; not a legal opinion.
agent-designerUse 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).
agent-harnessTurn any domain folder of skills into a bounded agentic loop: compile a goal into a verifiable task plan, execute tasks with the domain's own tools, verify every task with machine-run checks, retry with caps, escalate to a human when budgets exhaust, and refuse to close until everything is verified or explicitly waived. Use when you want an agent or subagent to pick up a goal and drive it to a verified close across one of this repo's 18 domains ('run this goal through the engineering harness', 'set up an agentic loop for marketing work', 'make the finance domain self-verifying'). NOT for authoring Claude Code Workflow-tool .js scripts (workflow-builder), N-agent tournaments on one task (agenthub), single-file metric optimization (autoresearch-agent), or discovering published loop recipes (loop-library).
agent-launcher-orchestratorUse when a user wants to build, launch, grade, or schedule a Claude Managed Agent (CMA) in their own Anthropic account — "build me an agent", "launch this as a managed agent", "run this on a schedule", "grade my agent against a rubric", "set up a nightly worker". Reads the per-session goal (./my-agent/goal.json), routes deterministically to one of five phase sub-skills (interview → stage-launch → grade-iterate → run-without-you → wrap-up) via goal_router.py, and compiles the goal+phase into an execution shape (single-pass workflow / bounded grade→iterate loop / recurring cron deployment loop) via loop_compiler.py. Forks context so heavy intake (build sheets, payloads, eval cases) stays out of the parent thread. All launches are emitted as BYOK curl the user runs with their own key; no tool makes API calls. Inspired by anthropics/launch-your-agent (Apache-2.0). Distinct from engineering/agent-harness (generic domain loop) and engineering/write-a-skill (authors Claude Code skills, not CMAs).
agent-memoryUse when a project's CLAUDE.md has grown past what anyone reads and you want the agent to learn durable facts from its own sessions instead — or when asking why the agent keeps re-learning the same correction, why a remembered rule is wrong, or where a memory line came from. Implements a four-tier store (L0 transcripts / L1 candidates / L2 project context / L3 stable persona) where promotion is earned by recurrence across sessions and days, never by one confident statement, and nothing reaches a committed file without a human adopting it.