Generate a ShadowTraffic configuration to populate a Kafka topic with realistic synthetic data. Discovers the target topic, its key and value schemas, and the correct serializers from the live cluster via any attached Kafka MCP server, then writes a ready-to-run shadowtraffic-config.json and Docker command. Use when…
Author a new medallion node (gold mart, silver dim, or additive column) when the live gold layer AND the content pack both cannot serve a business need. Takes the user's business logic, inspects the Fusion PVO SOURCE schema (not bronze) for available raw fields, and authors the lowest-cost, additive, non-destructive…
CSS and UI animation patterns for responsive, polished interfaces. Use when implementing hover effects, tooltips, button feedback, transitions, or fixing animation issues like flicker and shakiness.
Guides agents through schema-registry-backed event contracts. Use when managing Avro, Protobuf, or JSON Schema for event streams, compatibility policies, producer and consumer evolution, or contract enforcement in messaging systems.
Guides agents through data-contract testing using schema registries and compatibility checks. Use when validating event contracts, stream schema evolution, consumer compatibility, or release gates for schema-managed systems.
Guides agents through DuckDB-based local analytics and development workflows. Use when prototyping models locally, validating transformations, reproducing data issues quickly, or building lightweight analytical tooling without a full warehouse.
Inspect Parquet file metadata with the iParq CLI, including compression, encodings, physical and logical types, row groups, sort order, statistics, dictionary pages, page indexes, page locations, Bloom filters, and storage sizes. Use when an agent needs to explain how one or more .parquet files were written, compare…
Skill "data-analysis" from clawdata/clawdata, covering data analysis, rules, chart code block format, chart spec reference and chart type selection guide.
Build, modify, materialize, run, and verify DataCoolie projects. Use for workspace bootstrap, metadata authoring, environment overlays, capability checks, runners, notebooks, custom functions, narrow unsupported adapters, local tests, immutable builds, and project-owned build/CI automation. This is the sole…
Inspect data sources and produce verified source evidence for DataCoolie design or build work. Use for every new DataCoolie project before design, for every declared source type, and when an existing source is new, changed, missing evidence, or contradictory. Discovery is read-only evidence and never creates runtime…
Plan, preflight, deploy, promote, roll back, or author consume-only release automation for an exact verified DataCoolie build. Use for explicit deployment-lifecycle work; read-only planning may precede authorization, while target mutation requires exact authorization. This skill consumes immutable build artifacts and…
Use when a finished thing — a source, a result, code, or the record — is about to be trusted or consumed; the gate fires before the work leans on it. Fire FIRST - before a number is BUILT on inherited sources or PRESENTED from them - when the silent assumptions baked into procs, queries, exports, or workbooks have not…
Use when work is leaving the desk — findings, a status, or a number that must hold up in the room. The analysis is finished and the findings need communicating to a stakeholder or decision-maker. Composes the brief from the evidence on hand and makes every claim carry its provenance and status, so open questions stay…
Use when a finished thing — a source, a result, code, or the record — is about to be trusted or consumed; the gate fires before the work leans on it. The code behind a number - a SQL query, view, or stored procedure, a dbt or semantic model, a measure, calc group, or RLS rule - needs reviewing for correctness before…
Create a look-alike audience from a seed audience and a candidate population dataset. Classifies Rosetta Stone attributes, generates the same materialized-view scoring pipeline Lookalike Studio emits (Naive-Bayes categorical weights + Gaussian continuous similarity), gates on approval, submits via…
Write, validate, and (optionally) execute an NQL query against a Narrative dataset. Drafts the query from the user's question, runs narrativenqlvalidate until it compiles, explains the query in plain English, and only runs it on explicit approval (or when invoked with --run). Use when: "write an NQL query for X"…
Compare your data to a partner's data in the marketplace. Given a dataset you already own with person/edge data, this skill walks you through picking a partner data source to match against, choosing which identifier types to match on, optionally selecting which enrichment attributes to attach, and then submits the…
Use when the user wants to create, add, extend, or modify an agent, skill, or workflow in this kit (e.g. "create a skill for our dbt naming standard", "add an agent for X", "new workflow"). Decides whether to build an agent, a skill, or nothing, enforces lean quality standards, and keeps every installed AI-tool folder…
7 1mo agoA110 tokens
originalMIT
At most 3 mods per repository are shown here, and a mod shipped inside a plugin is left to that plugin's page — the rest are on their repository pages: