Skills for data engineers using a deployed DataSpoke: connect, manage ingestion (UC1), manage validation and author validation routines (UC2), with ontogen/metagen/governance stubs.
Plugin dataspoke from marketplace dataspoke in selhorys/dataspoke-baseline. Commands read from the repo's manifest — 1 month ago.
dataspoke-accessConnect this plugin to a deployed DataSpoke and verify access. Use to point Claude at a DataSpoke deployment (API base URL + dsk_ API token), mint a token from email/password, or check who you are and what role you hold. Prerequisite for every other dataspoke-* skill — run this first, or when calls
dataspoke-governanceGuide DataSpoke Governance metric configuration and operation (UC5) on a deployed instance. Use for "how do I set up a governance metric", "track validation coverage for my team", "is this data documented", creating/updating/deleting/enabling/running metrics, and interpreting results, dataset scope/
dataspoke-ingestionManage DataSpoke ingestion sources (UC1) on a deployed instance — list and inspect sources, create or edit ACTIVE_CUSTOM_MANAGED and PASSIVE sources, trigger dry-run and real extractor runs, and review run history, emitted datasets, and the unmanaged bucket. Triggers on "register/check ingestion", "
dataspoke-metagenOperate DataSpoke Metadata Generation (UC4) on a deployed instance: manage named generation configurations and per-dataset boundaries, dry-run and run generation, inspect coverage and candidates, and review documentation proposals. Triggers on AI documentation proposals, metadata generation, descrip
dataspoke-ontogenOperate DataSpoke Ontology Generation (UC3) on a deployed instance: configure the singleton, curate Markdown seeds, dry-run and run inference, inspect events and ontology results, and review nodes, edges, then eligible triples. Triggers on ontology inference, business concepts, relationships, ontolo
dataspoke-validationWrite data-quality validation into a data pipeline, backed by DataSpoke as the result store (UC2). Use whenever the user is authoring or editing pipeline code that builds a partition and writes it to a destination table — PySpark, awswrangler/pandas, dbt, SQL, Airflow tasks — and wants checks on wha
Comprehensive toolkit for developing Claude Code plugins. Includes 7 expert skills covering hooks, MCP integration, commands, agents, and best practices. AI-assisted plugin creation and validation.
7 skills · 1 command · 3 agents
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
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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