Claude Skills by alinaqi

Claude Code Agent Teams - default team-based development with strict TDD pipeline enforcement

An AI-driven testing agent that auto-discovers, generates, executes, evaluates, and fixes tests for any project type. Inspired by the edubites autonomous test runner pattern, generalized for Claude Bootstrap + Maggy.

Build in public isn't marketing. It's letting people watch you work. The best posts feel like you're narrating your thought process to a friend who's also a senior engineer. No hype sludge. No "I'm excited to announce." Just: here's what I built, here's why it matters, here's what I learned.

AST-based code graph for fast symbol lookup, dependency analysis, and blast radius via codebase-memory-mcp MCP server

Deep code property graph analysis with Joern CPG (AST+CFG+PDG) and CodeQL for control flow, data flow, taint analysis, and security auditing

Cross-agent task routing — Codex auto-review, Kimi delegation by complexity score (iCPG + Claude reasoning), iCPG + Mnemos mandatory for all agents

A `UserPromptSubmit` hook classifies every user prompt into one of six cost/performance tiers. The hook injects `additionalContext` instructing Claude to run a specific delegation script and return the output.

Intent-Augmented Code Property Graph — tracks WHY code exists via ReasonNodes with formal contracts, 6-dimension drift detection, and 3 canonical pre-task queries for autonomous development

Maggy is a local AI engineering command center. AI-prioritized inbox across issue trackers (GitHub Issues/Asana), one-click TDD execute with iCPG context enrichment, daily competitor intelligence briefing.

Task-scoped memory lifecycle — typed MnemoGraph prevents lossy context compaction by treating facts/decisions/code-refs/handoffs as distinct node types with per-type eviction policies

Every user prompt goes through a 9-tier classification pipeline before any AI model processes it. The system answers three questions:

Multi-agent orchestration with container-isolated workspaces — each agent session runs in its own Docker container with independent git branches

Create Jira/Asana/Linear tickets optimized for Claude Code execution - AI-native ticket writing

Every UI change should be visually verified before it ships. Peekaboo captures pixel-accurate screenshots. The system compares before/after and flags visual regressions. No manual "looks good to me" — the machine verifies what the machine built.

AI Engine Optimization - semantic triples, page templates, content clusters for AI citations

Build AI agents with Pydantic AI (Python) and Claude SDK (Node.js)

Latest AI models reference - Claude, OpenAI, Gemini, Eleven Labs, Replicate

Android Java development with MVVM, ViewBinding, and Espresso testing

Android Kotlin development with Coroutines, Jetpack Compose, Hilt, and MockK testing

AWS Aurora Serverless v2, RDS Proxy, Data API, connection pooling

AWS DynamoDB single-table design, GSI patterns, SDK v3 TypeScript/Python

Azure Cosmos DB partition keys, consistency levels, change feed, SDK patterns

Universal coding patterns, constraints, TDD workflow, atomic todos

Cloudflare D1 SQLite database with Workers, Drizzle ORM, migrations

Prevent semantic code duplication with capability index and check-before-write

Mandatory code reviews via /code-review before commits and deploys

OpenAI Codex CLI code review with GPT-5.2-Codex, CI/CD integration

Atomic commits, PR size limits, commit thresholds, stacked PRs

Centralized API key management from Access.txt

Schema awareness - read before coding, type generation, prevent column errors

Analyze existing repositories, maintain structure, setup guardrails and best practices

Firebase Firestore, Auth, Storage, real-time listeners, security rules

Flutter development with Riverpod state management, Freezed, go_router, and mocktail testing

Google Gemini CLI code review with Gemini 2.5 Pro, 1M token context, CI/CD integration

Ralph Wiggum loops - self-referential TDD iteration until tests pass

Klaviyo email/SMS marketing - profiles, events, flows, segmentation

AI-first application patterns, LLM testing, prompt management

Medusa headless commerce - modules, workflows, API routes, admin UI

Microsoft Teams bots and AI agents - Claude/OpenAI, Adaptive Cards, Graph API

Node.js backend patterns with Express/Fastify, repositories

E2E testing with Playwright - Page Objects, cross-browser, CI/CD

PostHog analytics, event tracking, feature flags, dashboards

gh, vercel, supabase, render CLI and deployment platform setup

Progressive Web Apps - service workers, caching strategies, offline, Workbox

Python development with ruff, mypy, pytest - TDD and type safety

React Native mobile patterns, platform-specific code

React web development with hooks, React Query, Zustand

Reddit Ads API - campaigns, targeting, conversions, agentic optimization

Reddit API with PRAW (Python) and Snoowrap (Node.js)

OWASP security patterns, secrets management, security testing