Agent skills by alinaqi

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

AI-driven testing agent that auto-discovers, generates, executes, evaluates, and fixes tests for any project type

Best practices for sharing engineering work publicly — what to post, what to withhold, and channel-specific guidance

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

UserPromptSubmit hook pattern that classifies prompts into six cost tiers and delegates to external model CLIs

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

9-tier model routing system with cascading classifier fallback and result auto-evaluation

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

Autonomous screenshot verification — captures, compares, and AI-evaluates UI changes for visual regressions