v2.1.0

AGENTS.md

@@ -511,7 +511,7 @@ LIGHTDASH_TRINO_HOST=host.docker.internal  # Trino host override for Docker
 
 ## AI Agent Integration
 
-When `dj.codingAgent` is `true`, the extension generates a project-tailored `AGENTS.md` at `.agents/dj/AGENTS.md` and copies agent-agnostic skill directories from [`templates/`](templates/) to `.agents/skills/` at workspace activation, following the [Agent Skills](https://agentskills.io) open standard (each skill is a folder with a `SKILL.md`). The agent code lives in [`src/services/agent/`](src/services/agent/); skill files are written by the Dbt service.
+When `dj.codingAgent` is `true`, the extension copies the DJ agent context to `.agents/dj/` — a hub `AGENTS.md` plus on-demand `reference/` files — and copies the agent-agnostic skill directories from [`templates/`](templates/) to `.agents/skills/` at workspace activation, following the [Agent Skills](https://agentskills.io) open standard (each skill is a folder with a `SKILL.md`). The templates live under [`templates/_agents-dj/`](templates/_agents-dj/) and [`templates/skills/`](templates/skills/); both are deployed by the Dbt service ([`src/services/dbt.ts`](src/services/dbt.ts)), which strips the leading `_` from `_AGENTS.md` / `_SKILL.md` on copy.
 
 ## Additional Resources
 

CHANGELOG.md

@@ -1,5 +1,25 @@
 # Change Log
 
+## 2.1.0
+
+### Agent skills
+
+- **New `dj-govern-model` skill.** Runs a read-only governance audit across a model, folder, dependency tree, or the whole workspace — ownership, PII / classification / compliance tagging, registered-group conformance, and prod-write posture — and points you to the skill that fixes each gap. Try _"Which models in the finance group have no owner?"_
+- **New `dj-create-source` skill.** Registers a raw Trino table as a DJ source by reading its exact column types from the warehouse, so a model that reads a not-yet-defined `catalog.schema.table` builds instead of failing. Authoring skills detect the missing source and offer to create it, or run the `DJ: Create Source` command yourself.
+- **New `dj-run-dbt`, `dj-run-trino`, and `dj-git-workflow` skills.** Compile and test models, run read-only Trino queries, and commit your `.model.json` sources together with their generated SQL/YAML — activating the right Python environment and keeping warehouse writes behind explicit confirmation.
+- **Skills confirm the target and stay read-only by default.** Creating or converting a model asks which dbt project to use, requires the `group` to be registered in `models/groups.yml`, and offers optional `owner` / `pii` / `classification` / `compliance` tags (skip them and nothing is written). Anything that writes to the warehouse or production always needs your explicit confirmation.
+- **Model creation builds missing upstreams and defaults BI work to marts.** A dashboard or metrics request scaffolds a mart and offers to build any missing staging / intermediate / source layers upstream-first, then reminds you to re-sync so the new columns resolve.
+- **Leaner agent context.** The generated `.agents/dj/AGENTS.md` is now a slim hub, with deep reference material split into on-demand files under `.agents/dj/reference/` that skills open only when needed.
+
+### UX improvements
+
+- **Data Modeling dropdowns scale with zoom.** Single- and multi-select menus in the visual editor now size their text to the zoom level so it matches the node, and truncated labels show the full value on hover.
+- **Monochrome sidebar icon.** Switched the Activity Bar icon to a monochrome SVG so it remains visible across light, dark, and high-contrast themes in remote workspaces.
+
+### Documentation
+
+- **New [Agent Skills](docs/AGENT_SKILLS.md) guide** — catalogs every DJ agent skill and when to reach for it.
+
 ## 2.0.2
 
 - **Python model run tracking in Airflow.** DJ-generated `etl_helper.py` records each python model run (success, error, skipped, upstream_failed) to a Trino meta table configured via `run_tracking` (`catalog`, `schema`, and `table` are required in the `dj_python_source_config` Airflow Variable). Mapped tasks reconcile failures that occur before model code runs, and expose helpers your DAG can call for end-of-run reconciliation and `[Python Models]` failure email summaries.

README.md

@@ -31,6 +31,7 @@ DJ is a VS Code extension that revolutionizes dbt development through a structur
 - **Data Catalog Integration**: Browse Trino catalogs and execute queries directly in VS Code.
 - **BI Integration**: Built-in Lightdash support for creating dashboards from dbt models.
 - **11 Model Types**: Complete coverage from staging to marts with pre-built templates.
+- **AI Agent Skills**: Agent-agnostic skills that guide AI coding assistants through common DJ tasks.
 
 ## Supported Stack
 
@@ -297,6 +298,7 @@ DJ supports the following model types:
 - **[Lineage Visualization](docs/LINEAGE.md)** - Model and column-level lineage
 - **[Integrations Guide](docs/integrations/README.md)** - dbt, Trino, and Lightdash integration
 - **[Model Types Reference](docs/models/README.md)** - All 11 model types with examples
+- **[Agent Skills](docs/AGENT_SKILLS.md)** - AI agent skills for common DJ tasks
 
 ## Support & Community