claudecodex

daana

Model your business, generate the warehouse, and let your agent walk it: skills for declaring, building and verifying a Daana data platform.

0 on GitHubby Daanav0.1.1MITupdated 7 days agoDeveloper Tools
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Plugin daana from marketplace daana in daana-code/daana-plugin. Commands read from the repo's manifest — 5 days ago.

What it installs

Skills (21)

  • authoring-dab-mappings

    Use when binding reviewed DAB meaning or a labelled source-led candidate to source evidence, authoring mapping YAML, or changing source strategy and effective-time expressions.

  • authoring-dab-models

    Use when authoring DAB business entities, attributes, relationships, identity or time definitions, or drafting a first candidate from typed sources or legacy dbt/Dataform code without a business owner present.

  • investigating-dab-lineage

    Use when tracing DAB physical rows, hidden duplicates, effective/version history or unexpected processing windows to the producing pipeline and workflow using metadata.

  • running-dab-operations

    Use when preparing, executing, refreshing, or recovering a Daana DAB workflow or deployment, including scoped operations and lineage investigation.

  • verifying-dab-output

    Use when checking DAB source-to-base-to-serving results, timelines, flow totals, relationship cardinality, duplicates, or post-operation reconciliation.

  • authoring-dar-specs

    Use when translating an approved analytical design into a Daana DAR specification or changing an existing declaration without changing its reviewed business meaning.

  • eliciting-dar-requirements

    Use when a reviewed business question needs a DAR fact grain, dimensions, temporal interpretation, reuse decision or runtime metric design, before choosing compiler output kinds.

  • running-dar-operations

    Use when preparing, executing, retrying or reconciling a Daana DAR warehouse operation after analytical meaning is approved. Local-only check, lint and compile use structural validation instead.

  • validating-dar-structure

    Use when checking DAR declarations, local generated SQL or dependency/schema readiness, including cases where a successful compile may conceal missing deployed columns or invalid published object shape.

  • verifying-dar-output

    Use when independently reconciling a DAR result, grain, measures, temporal joins or dimension coverage against approved requirements and source evidence, including synthetic and deployed comparisons.

  • authoring-das-contracts

    Use when adding or changing a DAS data contract, field description, source path, type, key, model, or materialization declaration.

  • modifying-das-generator

    Use when changing DAS generator behavior, source-shape mechanics, contract validation rules, or generated-output regression tests.

  • running-dataform-actions

    Use when preparing, executing, retrying, or verifying an explicitly scoped Dataform materialization or rebuild.

  • validating-das-data

    Use when investigating DAS mapped values, source-present NULL loss, keys, latest winners, parity, or deployed table and partition behavior.

  • validating-das-structure

    Use when checking DAS contracts, generated drift, Dataform compilation, or BigQuery SQL analysis before a PR or operation.

  • developing-landing-adapters

    Use when implementing or changing a dlt landing adapter, provider acquisition boundary, observation envelope, or landing regression tests.

  • running-landing-loads

    Use when preparing, running, or recovering a dlt landing load, historical backfill, or persisted pending load package.

  • answering-analytics-questions

    Use when answering a business analytics question from approved reporting outputs, including totals, slices, distinct counts, or effective-time and knowledge-time comparisons, without changing the model.

  • diagnosing-data-pipelines

    Use when an analytics pipeline fails or layers disagree and the task is to locate the owning boundary, explain the evidence, and prepare a safe next step rather than perform recovery.

  • facilitating-agile-analytics

    Use when interviewing a business owner, clarifying an analytics decision or question, reviewing business definitions conversationally, or facilitating a question-led Agile Analytics loop. Technical model/mapping implementation uses the layer skills after meaning is reviewed.

  • querying-warehouse

    Use when preparing or performing warehouse inspection, SQL analysis, profiling, or source-to-output reconciliation across data-platform layers.

Subagents (6)

  • agile-analytics-facilitator

    Agile Analytics facilitator for business interviews, reviewed definitions, and one question-led analytics loop.

  • dab-specialist

    DAB specialist for reviewed business models, source mappings, generated behavior, and scoped operation preparation.

  • dar-specialist

    DAR specialist for analytical elicitation, supported declarations, result verification and scoped operation preparation.

  • das-specialist

    DAS specialist for contracts, source-shape projection, generator behavior, SQLX, Dataform graph correctness, and mapping proof.

  • data-platform-reviewer

    Independent read-only reviewer for Ingestion, DAS, DAB and DAR changes; explains findings and next steps in plain language.

  • ingestion-specialist

    Ingestion specialist for provider acquisition, dlt landing schemas, historical coverage, pending-package recovery, and reconciliation.

View source on GitHub

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