Browse reusable Agent Skills, each with a clear purpose and practical guidance.
Run the Solutions Analyzer scripts: mapper, documentation generator, ASIM browser. Use when: running solution analyzer, generating CSVs, generating docs, refreshing caches, force-refresh, invalidating caches, generating ASIM browser, running mapper, running collect_table_info, running collect_asim_fields.
MANDATORY guidelines for ANY edit to ANY file under Tools/Solutions Analyzer/ — including the mapper (map_solutions_connectors_tables.py), doc generator (generate_connector_docs.py), interactive docs (generate_interactive_docs.py), ASIM browser, collect_table_info, collect_asim_fields, upload_to_kusto, compare_runs, solution_analyzer_overrides.csv, filter_field_resolution.yaml, or any other script/config in that folder. Use when: editing/modifying/refactoring/fixing/renaming/tweaking ANY logic in those files, even one-line fixes such as renaming a classification, escaping a character, adjusting a regex, adding an override row, suppressing a false positive, or changing a constant. Covers: keeping script-docs in sync, README Version History changelog rules (required for feature/behavior changes; optional for small bug fixes), CSV output sync with upload_to_kusto.py, static/interactive index synchronization, and markdown/HTML entity page synchronization.
Add a first-run guided tour, product walkthrough, coachmarks, or empty-state mock/example data to a Lightdash frontend feature. Use when the user wants to onboard users to a page, add a "Take the tour" flow, explain an unfamiliar UI, or show sample data on an empty page.
Guide for AI agents running in the isolated agent-harness environment. Use when you need to discover your agent ID, find your ports, manage your stack with agent-cli.sh, run verification, or understand the multi-agent development setup.
Break up a large PR into vertical feature slices delivered incrementally via Graphite stacked PRs. All verticals share a single feature flag so the entire feature ships atomically. Use when: splitting a large PR, breaking up a diff, vertical slicing, incremental delivery, phased rollout, or when a PR is too large to review.
Guides the agent to orchestrate and implement a standalone LiteRT-LM Android demo app with backend selection and multi-modality support using Bazel 9. Use when asked to create a demo app for LiteRT-LM on Android. Don't use for general Android app development without LiteRT-LM, or for building the core library alone without an app.
Debug the Lightdash app using PM2 logs, Spotlight traces, and browser automation. Use when investigating issues, tracking down bugs, understanding request flow, or correlating frontend actions with backend behavior.
Use when deprecating, sunsetting, or removing a backend HTTP API endpoint in Lightdash — wiring deprecation logging, deadline/sunset dates, response headers, and Sentry alerting onto a TSOA controller route. Also covers making the deprecation visible on docs.lightdash.com and llms.txt (description lead line, x-mint migration banner). Covers the first-party-caller precondition and the shared deprecation middleware.
Use when editing a downloaded Lightdash data app on your machine — how local editing, building, and re-uploading work, and what is read-only.
Use when working with Lightdash YAML files, dbt models with Lightdash metadata, the lightdash CLI (deploy, upload, download, preview, lint, warehouse-catalog, sql, set-warehouse), or managing charts, dashboards, spaces and access, AI agents, scheduled content, users, groups, custom roles, metrics, and dimensions as code