backend-rule
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The backend is written in modern C++ and uses CMake, DuckDB and COW HTTP Framework.
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The backend is written in modern C++ and uses CMake, DuckDB and COW HTTP Framework.
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The cli is written in TypeScript and uses Node.js. It is hosted in ./cli directory. This directory also contains the vscode extension to interact with the flapi server.
Instructions file CodexOpenCode
AGENTS.md instructions for DataZooDE/flapi, covering claude.md, project overview, architecture documentation, building and development and build commands.
Instructions file
Claude Code instructions for DataZooDE/flapi, a project described as: API Framework heavily relying on the power of DuckDB and DuckDB extensions. Ready to build performant and cost-efficient APIs on top of BigQuery or Snowflake for AI Agents and Data Apps.
Skill Claude CodeCodex
Backtesting, cross-validation, evaluation metrics, and conformal prediction intervals for the anofoxforecast DuckDB extension. Use when evaluating forecast accuracy, comparing models with time-series-aware CV, computing metrics (MAE / RMSE / MAPE / MASE / coverage), or attaching distribution-free prediction intervals…
Skill Claude CodeCodex
Data preparation for the anofoxforecast DuckDB extension — filling gaps, imputing nulls, dropping bad series, differencing, detrending, hierarchical key operations. Use when preparing raw time series for downstream forecasting or backtesting with tsforecastby / tscvfoldsby.
Skill Claude CodeCodex
Seasonality, changepoint, peak, and decomposition detection for the anofoxforecast DuckDB extension. Use when identifying seasonal periods before configuring seasonal forecasting models, detecting structural breaks, analysing peak timing regularity, or decomposing a series into trend / seasonal / residual components.
Skill Claude CodeCodex
Exploratory data analysis and data quality for the anofoxforecast DuckDB extension — 34 per-series statistics, data-quality scoring, quality-report summaries, and 117 tsfresh-compatible feature extraction. Use before forecasting to understand series characteristics (length, gaps, trend, seasonality strength…
Skill Claude CodeCodex
Forecasting models and the tsforecastby / tsforecastvarby API surface of the anofoxforecast DuckDB extension. Covers 36 models (baseline, exponential smoothing, state-space ARIMA + Kalman, classical GARCH, Theta, multi-seasonal, intermittent-demand, distributional Laplace with three variants, panel/global…
Instructions file CodexOpenCode
AGENTS.md instructions for DataZooDE/anofox-forecast, covering agent instructions, quick reference and landing the plane (session completion).
Instructions file CodexOpenCode
Instructions for DataZooDE/erpl-adt, a project described as: CLI and MCP server for the SAP ADT REST API — search, read/write ABAP source, run tests, manage transports. No Eclipse, no RFC SDK, no JVM.
Instructions file
Instructions for DataZooDE/erpl-adt, covering claude.md, git commits and pull requests, project overview, build commands and architecture.
Skill Claude CodeCodex
Use when developing an application that integrates with the DataZoo Triton agent-ingress gateway — either an upstream agent Triton dispatches into (resolved by tool name from a static TRITONSTATICUPSTREAMS map) or a frontend/client that calls Triton's HTTP trio (REST/MCP/A2A). Provides the upstream-agent wire…
Instructions file
Claude Code instructions for DataZooDE/triton, covering triton — working principles for ai collaboration, 1. red/green tdd — no shortcuts, 2. incremental prs, 3. 12-factor alignment and 4. solid, clean code.
Skill Claude CodeCodex
Use when building an application that consumes the Escurel knowledge-base service as its data store — designing a tenant's skill/instance data model, calling the agent tools…
Instructions file
Claude Code instructions for DataZooDE/escurel, covering how we work on escurel, nine principles, what this looks like in practice, locked decisions (current bootstrap) and keeping the consumer skill in sync.