a11y-guard
claudeFlags accessibility misses as Claude writes UI: images without alt, unlabeled buttons, clickable divs.
/peek shows a CSV or JSONL file's columns, sample rows and inferred types without reading the whole file.
Plugin csv-peek from marketplace claude-mods in Plagemes/claude-mods. Commands read from the repo's manifest — 5 days ago.
No skills, commands, agents, hooks or MCP servers were found in the standard plugin folders.
Flags accessibility misses as Claude writes UI: images without alt, unlabeled buttons, clickable divs.
Unlock achievements as you work: first commit, 100 green test runs, a week-long streak and more.
A heat map of when you use Claude Code, by hour and weekday.
Ready-made subagents for focused jobs: debugger, test writer, doc writer and migrator.
Writes every action Claude takes to an append-only JSONL audit log.
Snapshots your work tree before every editing turn and lets you /rollback to any checkpoint.
Agentic QE (external: maintained in proffesor-for-testing/agentic-qe, pinned to v3.15.17): a quality-engineering fleet with 11 QE agents, 9 skills, 9 commands, the agentic-qe MCP server pinned to the plugin version, and the aqe-mod guard that refuses destructive operations on AQE learning data
9 skills · 9 commands · 11 agents · 1 MCP server
Automates browser interactions for web testing, form filling, screenshots, and data extraction
12 skills
Install the "AAS Data Analytics & Business Intelligence" editorial skill bundle for Claude Code.
16 skills
Databricks skills for the CLI, Apps, Lakebase, Model Serving, Lakeflow Jobs, Spark Declarative Pipelines, Declarative Automation Bundles (DABs), and classic-to-serverless migration.
37 skills · 2 commands · hooks
The official CCXT MCP server plus the ccxt-mcp usage skill — market data, balances and opt-in trading across 100+ crypto exchanges and prediction markets, with keys kept local.
1 MCP server
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
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