Use when the user asks to describe, profile, summarize, explore, or query tabular data without producing modified output files — e.g., "what's in this CSV", "show distributions", "what columns correlate", or ad-hoc SQL questions. Prefer data-wrangler when the user wants to clean, reshape, dedupe, join, or convert data.
Use when the user asks to clean, transform, reshape, dedupe, join, concatenate, sort, replace, or convert tabular data and produce new output files — e.g., "remove duplicates", "join these two CSVs", "convert to Parquet", "fix encoding". Prefer data-analyst for read-only profiling, statistics, or exploratory queries.
Use when the user asks to analyze policy questions that combine local tabular data with US government sources — jurisdiction comparisons, fiscal-impact analysis, demographic/employment/crime context, or "is policy X working?" questions referencing Census, BLS, FBI Crime Data, or Wikidata. Prefer data-analyst for plain…
The single top-level entry point for ALL tasks in openwebui-extensions. Covers the complete project lifecycle: new plugin scaffolding, feature development, testing, documentation, release, issue triage & reply, community announcements, and self-learning. Routes to the right agents and skills in parallel or…
End-to-end plugin testing agent for OpenWebUI. Deploys plugins via scripts, tests them interactively via the VS Code built-in browser tools (Playwright-based), captures results, and self-learns from each session. Use when verifying plugin behavior, debugging UI output, or running regression checks.
Finalizes version bumps, creates standalone version docs, and drafts bilingual commit messages. Only triggered by Orchestrator or Coordinator when user says "发布" / "release" / "commit". Never commits or pushes without explicit approval.
These are ExStruct-specific coding conventions for achieving a codebase that AI (Codex) and humans can maintain together over the long term. The conventions below also apply when having Codex generate code. They are intended to stabilize the quality of AI-generated code, improve maintainability, and align with Ruff /…
ExStruct is a Python library that extracts semantic structure from Excel workbooks. It combines openpyxl, Excel COM (xlwings), and a LibreOffice backend to generate structured data that LLMs can work with easily.
Platform-specific instructions for installing and running a Claude Code skill that reconciles financial data from files. The reconciliation script uses Python libraries and does not use the network while running.
Platform-specific instructions for installing and running a financial-data reconciliation skill in WorkBuddy. Reconciliation means checking that two sets of records agree.