markdown-helper
Token-efficient markdown parsing, editing, and diagram generation using native CLI tools (Windows/Mac/Linux compatible)
Essential command-line tools and system utilities.
Token-efficient markdown parsing, editing, and diagram generation using native CLI tools (Windows/Mac/Linux compatible)
Format and validate markdown documents with auto-generated TOC, frontmatter, structure validation, and cross-reference linking. Export to GitHub/CommonMark/Jekyll/Hugo.
Comprehensive spreadsheet creation, editing, and analysis with support for formulas, formatting, data analysis, and visualization. Use when the assistant needs to work with spreadsheets (.xlsx, .xlsm, .csv, .tsv, etc) for: (1) Creating new spreadsheets with formulas and formatting, (2) Reading or analyzing data, (3) Modify existing spreadsheets while preserving formulas, (4) Data analysis and visualization in spreadsheets, or (5) Recalculating formulas
Fill PDF forms programmatically with data from JSON, CSV, or dictionaries. Support for text fields, checkboxes, and dropdowns. Batch filling available.
Build Frappe DocTypes with fields, permissions, and naming configurations. Use this skill when creating or modifying DocType structures.
Generate professional PDF/HTML reports with charts, tables, and narrative from data. Supports templates, branding, and automated report generation.
Executes tdx CLI commands for Treasure Data. Covers `tdx databases`, `tdx tables`, `tdx query`, `tdx auth setup`, context management with profiles/sessions, and output formats (JSON/TSV/table). Use when users need tdx command syntax, authentication setup, database/table exploration, or query execution.
Generate pivot tables from CSV/Excel with aggregations, filters, and automatic chart creation.
Core documentation generation patterns and framework for Treasure Data pipeline layers. Provides shared templates, quality validation, testing framework, and Confluence integration used by all layer-specific documentation skills.
Use when processing 50+ items, analyzing CSV/log files, executing code in sandbox, or searching for tools. Load for data processing tasks. Achieves 98%+ token savings via in-sandbox execution, progressive disclosure, and pagination. Supports heredocs for multi-line bash.
ALWAYS use when: creating/editing marimo notebooks, working with any .py file containing @app.cell decorators, building reactive Python notebooks, doing exploratory data analysis in notebook form, converting Jupyter (.ipynb) to marimo, or when user mentions "marimo", "reactive notebook", or asks for an interactive Python notebook. Covers marimo CLI (edit, run, convert, export), UI components (mo.ui.*), layout functions, SQL integration, caching, state management, and wigglystuff widgets. If a task involves notebooks and Python, invoke this skill first.
Use when optimizing database queries, indexes, N+1 problems, slow queries, or analyzing query performance. Triggers on keywords like "slow query", "N+1", "index", "query optimization", "database performance", "eager loading".
Expert assistance for using pytd (Python SDK) to query and import data with Treasure Data. Use this skill when users need help with Python-based data analysis, querying Presto/Hive, importing pandas DataFrames, bulk data uploads, or integrating TD with Python analytical workflows.
Generate images from tables for better readability in messaging apps like Telegram. Use when displaying tabular data.
Generate organizational hierarchy charts from CSV, JSON, or nested data. Supports multiple layouts, department coloring, and PNG/SVG/PDF export.
Create and manage Databricks Agent Bricks: Knowledge Assistants (KA) for document Q&A, Genie Spaces for SQL exploration, and Multi-Agent Supervisors (MAS) for multi-agent orchestration. Use when building conversational AI applications on Databricks.
Expert documentation generation for ingestion layers. Automatically detects connector types (REST API, Database, File, Streaming), documents authentication patterns, rate limiting strategies, and incremental load patterns. Use when documenting data source ingestion workflows.
Use this skill when creating automated multi-phase workflows for development tasks using claude-flow orchestration. Implements patterns for implementation kickoff, verification, retry loops, and failure recovery.
SQL workflow guidelines. Activate when working with SQL files (.sql), database queries, migrations, or SQLFluff.
Advanced context engineering management system that provides comprehensive context architecture design, memory management, knowledge engineering, and workflow orchestration through expert collaboration and intelligent tool integration.
Python FastAPI patterns, Alembic migrations, Pydantic v2, and AI Engineering (raw patterns, LangChain, Google ADK). This skill should be used when working with Python APIs, database migrations, or AI/LLM applications.