accessibility-compliance
claudeWCAG accessibility auditing, compliance validation, UI testing for screen readers, keyboard navigation, and inclusive design
ETL pipeline construction, data warehouse design, batch processing workflows, and data-driven feature development
Plugin data-engineering from marketplace claude-code-workflows in ZAY684n/HwajKH1Y. Commands read from the repo's manifest — 2 days ago.
No skills, commands, agents, hooks or MCP servers were found in the standard plugin folders.
Problems found in this repo's manifests
WCAG accessibility auditing, compliance validation, UI testing for screen readers, keyboard navigation, and inclusive design
Multi-agent system optimization, agent improvement workflows, and context management
REST and GraphQL API scaffolding, framework selection, backend architecture, and API generation
API testing automation, request mocking, OpenAPI documentation generation, observability setup, and monitoring
Application profiling, performance optimization, and observability for frontend and backend systems
ARM Cortex-M firmware development for Teensy, STM32, nRF52, and SAMD with peripheral drivers and memory safety patterns
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" workflow plugin from Agentic Awesome Skills.
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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