omniout

Find out why your AWS bill grew: costs by service, idle EC2, EBS and Elastic IPs, plus failing Kubernetes pods explained from logs. Read-only, uses your aws and kubectl CLI.

1 skill · 3 commands

Find WCAG 2.2 accessibility problems in HTML, React, Vue, Svelte and Astro: missing alt text and labels, keyboard traps, focus issues and color contrast, then fix them.

1 skill · 2 commands

Write OpenAPI 3.1 docs from the real routes in Express, NestJS, Next.js, FastAPI, Flask, Spring and Go code, and check in CI that the docs still match the code.

1 skill · 2 commands

Load test your own API with a safe built-in runner or a generated k6 script: ramp-up, p50/p95/p99 latency, error rates and where it starts to saturate.

1 skill · 2 commands

Speed up and secure GitHub Actions and GitLab CI: find missing caches, wasted runs, missing timeouts, unpinned actions and flaky tests, using your real run times.

1 skill · 2 commands

Measure cyclomatic complexity, long functions, large files and duplicated code in Python, JavaScript, TypeScript, Java, Go and more, and track tech debt over time.

1 skill · 2 commands

AI-powered codebase understanding — analyze, visualize, and explain any project

9 skills · 10 agents · hooks

Open-source AI job search that runs locally in your AI coding CLI: scan job portals, evaluate listings into a structured A-H report with a 1-5 score, tailor your CV, track applications

5 skills · hooks

Rewrite AI-sounding text so it reads like the writer without changing what it says.

1 skill

AI memory system — mine projects and conversations into a searchable palace. 47 MCP tools, auto-save hooks, guided setup.

3 skills · 6 commands · 1 MCP server · hooks

Perform AI code review on Git diffs — supports workspace changes, branch ranges, and single commits with concurrent per-file analysis, codebase search, and deep context-aware review.

2 commands

Eval-gated LLM fine-tuning lifecycle (LoRA/QLoRA, DPO, GRPO/RLVR, vision SFT, quantized export). Use when fine-tuning an open-weights model end-to-end: building the eval harness first, selecting method and model, preparing data, training with Unsloth or TRL, gating checkpoints, and exporting GGUF/FP8.

10 skills · 2 commands · 3 agents