my-codex
Reduces setup friction and decision paralysis by pre-configuring 17 specialized agents and 123 skills for common development tasks, enabling teams to deploy …
All-in-one agent harness for OpenAI Codex CLI — Boss meta-orchestrator, 17 curated agents (+17 opt-in AI specialists), 123 curated skills, 3 MCP servers. Install once, curated specialists ready.
- Ask Claude to generate boilerplate code for a new microservice configuration automatically.
- Automate setup of development environment infrastructure using predefined specialist agents.
- Generate documentation for existing codebase configuration by invoking curated skill modules.
Reduces setup friction and decision paralysis by pre-configuring 17 specialized agents and 123 skills for common development tasks, enabling teams to deploy AI-assisted workflows without engineering orchestration overhead.
Engineering teams adopting Codex CLI automation who need immediate, curated agent templates across multiple domains.
https://github.com/sehoon787/my-codex
By sehoon787
How to Get It
claude plugins install sehoon787/my-codex
Tip: Paste this into a Claude Code conversation. Verify command matches your Claude Code version.
Auto-generated from the tool's public listing — not hands-on verified. Cross-check against the source repo's README before running.
After installing, paste this into Claude:
Generate boilerplate code for a new microservice configuration automatically
Trust Signals Auto-scanned
Community Pulse Growing
Discussed on Hacker News
- Tell HN: Codex macOS app switches to Fast speed after update without asking — Hacker News · 22 pts
- I read all 22 GB of my Codex conversations byte by byte. 71% was screenshots — Hacker News · 3 pts
- Show HN: Pocodex – Remote Control for Codex — Hacker News · 2 pts
3 mentions across 1 sources
Reviewer notes
Auto-scanned review. These are observations, not a security certification.
Scored from trust signals (evidence-eval-v1): 26 GitHub stars; contributors unknown; last commit 0d ago; license MIT.
Things to check
- Scanned, not hands-on tested — this entry was auto-scanned from public metadata (GitHub metrics, license, security flags). No reviewer has run it, and no tool-specific limitations have been documented yet.
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Evaluation
Scored from trust signals (evidence-eval-v1): 26 GitHub stars; contributors unknown; last commit 0d ago; license MIT.