Guided CBT and DBT practice exercises for AI assistants: a 7-step thought record with silent distortion classification and DBT Opposite Action. Configurable pushback levels 0–3. Optional HRV context from a health MCP.
Not in a marketplace yet, so it loads for one session with --plugin-dir.
Plugin cognitive-toolkit in glebis/claude-cognitive-toolkit. Commands read from the repo's manifest — today.
cognitive-toolkitGuided CBT and DBT practice exercises — a 7-step thought record and DBT opposite action — with configurable Socratic pushback and optional health context. Triggers on "/cbt", "/dbt", "/thought-record", "/record", "/opposite", "/opposite-action", "I need to work through something", "help me with a th
This plugin provides a specialized suite of skills for data engineers and database practitioners working on Google Cloud. It acts as an expert assistant, allowing you to use natural language prompts in your preferred coding agent to architect complex data pipelines, transform data with dbt, write Spark and BigQuery SQL notebooks, and orchestrate end-to-end workflows across GCP's data ecosystem.
37 skills
Snowflake SQL, data pipelines (Dynamic Tables, Streams+Tasks), Cortex AI functions, Snowpark Python, and dbt integration. Includes query helper script, reference guides, and troubleshooting.
1 skill
This plugin provides a specialized suite of skills for data engineers and database practitioners working on Google Cloud. It acts as an expert assistant, allowing you to use natural language prompts in your preferred coding agent to architect complex data pipelines, transform data with dbt, write Spark and BigQuery SQL notebooks, and orchestrate end-to-end workflows across GCP's data ecosystem.
37 skills
Analytics engineering skills for warehouse exploration, dbt and semantic modeling, and schema-drift maintenance. Three skills (explore, transform, maintain) drive a local engine: warehouse reads are read-only and cost-gated, and project edits come back as reviewable diffs. Requires a local shell and uv; first use downloads the pinned engine from PyPI. No hooks, no MCP servers.
3 skills
Full data-product lifecycle on dbt for Entropy Data: scaffold, audit, and integrate projects with ODCS, ODPS, OpenLineage, and GitHub Actions.
8 skills · hooks
Analytics-engineering skills: dbt Model Spec, Data Contract, Metric Semantic Layer, Experiment Readout (with a stdlib significance calculator), SQL Optimizer, and Data Quality Checks.
6 skills
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