By NickCrew
Optimizes context usage and improves Claude integration performance. Targets React development workflows.
Design AWS/Azure/GCP infrastructure, implement Terraform IaC, and optimize cloud costs. Handles auto-scaling, multi-region deployments, and serverless architectures. Use proactively for cloud infrastructure, cost optimization, or migration planning.
Expert code review specialist. Proactively reviews code for quality, security, and maintainability with heightened attention on configuration drift that could impact production reliability. Invoke immediately after code or config changes to prevent regressions.
Expert in building design systems with focus on component APIs, reusability patterns, and scalable component architectures. Creates flexible, composable, accessible-by-default components.
Manages context across multiple agents and long-running tasks. Use when coordinating complex multi-agent workflows or when context needs to be preserved across multiple sessions. Must be used for projects exceeding 10k tokens.
Manage database operations, backups, replication, and monitoring. Handles user permissions, maintenance tasks, and disaster recovery. Use proactively for database setup, operational issues, or recovery procedures.
Fast, high-signal accessibility triage for pages, components, or PRs targeting WCAG 2.2 AA compliance.
Complete operational workflow for implementer agents (Codex, Gemini, etc.) making code changes and writing tests. Drives all work through atomic commits — each loop operates on the smallest complete, reviewable change. Defines the Code Change Loop, Test Writing Loop, Lint Gate, and Issue Filing process with circuit breakers, severity levels, and escalation rules. Requires `cortex git commit` for all commits. Includes bundled provider-aware review scripts that keep same-model shell-outs as the last resort, plus a fresh-context Codex fallback for code review and test audit. Use this skill when starting any implementation task.
Use when public prose still sounds machine-written after ai-tells-scan. Complements ai-tells-scan's mechanical pass with structural judgment: rhythm, hedging, rhetorical reflexes, and performative emphasis. Trigger on 'review for AI tells,' 'does this read AI,' 'strip the AI smell,' or 'make this less AI.'
Use when writing tasks produce prose artifacts (READMEs, docs, PR text, tutorials, guides, posts, release notes) and need a fast surface scan for AI tells. Auto-engages on prose writing tasks; checks banned punctuation, stock vocabulary, and mechanical patterns. For the structural judgment pass on rhythm and rhetorical reflexes, use ai-tells-review. Not a replacement for voice skills like nick-voice; this removes machine fingerprints, it does not add a target voice.
Comprehensive REST and GraphQL API design patterns with versioning, pagination, error handling, and HATEOAS principles. Use when designing APIs, defining endpoints, or architecting service contracts requiring production-grade patterns.
Uses power tools
Uses Bash, Write, or Edit tools
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Multi-model development orchestration for Claude Code, Codex, and Gemini.
Documentation · Install · Quick Start
Cortex is a development orchestration framework that coordinates AI agents across model providers. It enforces quality gates — independent code review, test coverage audits, and lint checks — so that no agent grades its own homework. The result is a structured, auditable development workflow where Claude, Codex, and Gemini collaborate with built-in verification at every step.
Cortex's core principle: the agent that writes the code never reviews it. When Codex implements a feature, the review is routed to Claude first, then to a different model family, with same-model review as a last resort. Every review produces a structured artifact with severity levels and a pass/fail verdict.
Codex implements → Claude reviews → Codex remediates → Claude re-reviews
↓ (unavailable)
Gemini reviews (fallback)
↓ (unavailable)
Fresh-context Codex reviews (last resort)
Every code change flows through three sequential loops, each with circuit breakers and escalation rules:
Code Change Loop → Implement → Independent review → Remediate P0/P1 → Re-review (max 3 cycles)
Test Writing Loop → Audit gaps → Write tests → Verify → Re-audit (max 3 cycles)
Lint Gate → Discover linter → Auto-fix → Check → Remediate (max 2 cycles)
P0/P1 findings must be resolved before the loop exits. P2/P3 findings are filed as issues automatically. If circuit breakers trigger, the agent stops and escalates to a human — no infinite remediation loops.
Skills are suggested automatically as you work via a two-layer pipeline: fast keyword matching on every prompt (~50ms), with optional semantic matching for deeper recommendations. The TUI runs a background watch daemon for continuous suggestions.
| Path | Purpose |
|---|---|
agents/ | Agent definitions (specialized reviewers, implementers) |
skills/ | Reusable skill modules — workflow guidance, review prompts, quality standards |
rules/ | Behavioral guardrails and coding conventions |
hooks/ | Automation hooks (skill suggestions, validation gates) |
claude_ctx_py/ | Python CLI and TUI implementation |
agent-loops — The core workflow: structured implementation with independent review, test audit, and lint gates. Includes provider-aware review scripts with fallback chains.test-review — Test quality and coverage auditing across modules.doc-claim-validator — Validates documentation claims against actual code.doc-maintenance — Systematic documentation audit and lifecycle management.brew tap NickCrew/cortex
brew install cortex
post_install symlinks bundled agents, skills, rules, and schemas into
~/.claude/ automatically. Opt out with CORTEX_SKIP_LINK=1 brew install cortex.
# Recommended
pipx install claude-cortex
# Alternative
pip install claude-cortex
The Python package also installs cortex-minimal, a smaller command surface for
agent runtime environments:
uvx --from claude-cortex cortex-minimal --help
uvx --from claude-cortex cortex-minimal git --help
It exposes only git, tmux, statusline, hooks, and completions while
sharing the same tested implementations as the full cortex CLI.
If you install via Homebrew and pip, whichever binary comes first in your
$PATH wins. Uninstall one to avoid ambiguity.
git clone https://github.com/NickCrew/claude-cortex.git
cd claude-cortex
pip install -e ".[dev]"
npx claudepluginhub nickcrew/claude-cortexHarness for Claude Code — skills, /harness:* slash commands, persona subagents, lifecycle hooks, and MCP tools without per-repo `harness setup`. Sibling plugins exist for Cursor, Gemini CLI, and Codex.
Complete collection of battle-tested Claude Code configs from an Anthropic hackathon winner - agents, skills, hooks, and rules evolved over 10+ months of intensive daily use
One plugin to bridge and delegate across Claude Code, Codex CLI, and Gemini CLI — single-source AGENTS.md, shared skills, mirrored hooks and MCP servers, and full Claude↔Codex bidirectional delegation.
Production-grade engineering skills for AI coding agents — covering the full software development lifecycle from spec to ship.
Claude Code workflow patterns: prompting, CLAUDE.md maintenance, multi-agent orchestration
Prompt engineering techniques for accurate, grounded Claude responses — anti-hallucination workflow with citation-backed analysis