Sub-skill of core-context-management: Size Limits (MANDATORY) (+3).
Skills in this repository
vamseeachanta/workspace-hub - Page 63
SkillsMP has collected 3,441 skills from vamseeachanta/workspace-hub. Open a skill to review its source and details.
vamseeachanta/workspace-hubShowing 40 of 3,441 collected skills.
Manage agent context files, enforce size limits, and optimize token budget allocation
Sub-skill of core-context-management: validate_context.sh (+4).
Sub-skill of core-context-management: Windows Task Scheduler (+2).
Programmatically fill IRS tax form PDFs (Form 1120, etc.) using pymupdf/fitz. Covers field discovery, mapping, filling, cross-checking, and PDF generation.
Design one-off HTML artifacts (landing, deck, prototype).
Generate images, video, and audio with ComfyUI — install, launch, manage nodes/models, run workflows with parameter injection. Uses the official comfy-cli for lifecycle and direct REST/WebSocket API for execution.
Author/validate/export Google's DESIGN.md token spec files.
54 production-quality design systems extracted from real websites. Load a template to generate HTML/CSS that matches the visual identity of sites like Stripe, Linear, Vercel, Notion, Airbnb, and more. Each template includes colors, typography, components,…
Use when building creative browser demos with @chenglou/pretext — DOM-free text layout for ASCII art, typographic flow around obstacles, text-as-geometry games, kinetic typography, and text-powered generative art. Produces single-file HTML demos by default.
Throwaway HTML mockups: 2-3 design variants to compare.
Automatic exploratory data analysis and visualization with a single line of code - generates comprehensive charts, detects patterns, and exports to HTML/notebooks
Extract and process energy data from BSEE (Gulf of Mexico) and SODIR (Norway) regulatory databases
Build production-grade interactive dashboards with Plotly Dash - enterprise features, callbacks, and scalable deployment
Data processing, visualization, exploratory data analysis, and dashboard patterns using Polars, Pandas, and Plotly.
Comprehensive DataFrame loading, filtering, transformation, and data pipeline management from Excel, CSV, and multiple sources with YAML-driven configuration.
Publication-quality tables in Python with rich styling, formatting, conditional formatting, and export to HTML/images - inspired by R's gt package
High-performance DataFrame library for fast data processing with lazy evaluation, parallel execution, and memory efficiency
Build interactive data applications and dashboards with pure Python - no frontend experience required
Automated EDA comparison reports with target analysis, feature comparison, and HTML report generation for pandas DataFrames
Automated data quality reports with comprehensive variable analysis, missing value detection, correlations, and HTML report generation - formerly pandas-profiling
Generate or improve a company-specific data analysis skill by extracting tribal knowledge from analysts
Profile and explore datasets to understand their shape, quality, and patterns before analysis
QA an analysis before sharing with stakeholders -- methodology checks, accuracy verification, and bias detection
Create effective data visualizations with Python using matplotlib, seaborn, and plotly libraries
Create self-contained HTML/JavaScript dashboards with Chart.js, filters, and professional styling
Write correct, performant, readable SQL across all major data warehouse dialects
Apply statistical methods including descriptive stats, trend analysis, outlier detection, and hypothesis testing
Generate professional engineering calculation reports from YAML — renders LaTeX formulas, interactive charts, and pass/fail outputs as HTML using the warm-parchment design system
Extract calculation methodology from legacy Excel/files into clean, client-free dark intelligence archive — the canonical path for porting legacy calculations to public repos while avoiding legal/IP issues.
Post-processing pipeline for document extraction — tables to CSV, calc reports from extracted data, charts to calibration metadata. Includes table→YAML→code→calc-report workflow.
Repeatable workflow for domain documentation research WRKs: search for freely-available references, download PDFs via shared bash lib, catalogue into knowledge/seeds/<domain>-resources.yaml. Use when starting any WRK that collects and indexes domain reference…
Orchestrate the 7-phase document indexing pipeline (A→G) for the 1M+ document corpus. Use when running batch extraction, classification, or gap analysis on og_standards, ace_standards, or workspace_spec sources.
Scan and catalog document collections with metadata extraction, categorization, and statistics. Use for auditing document libraries, preparing for knowledge base creation, or understanding large file collections.
Build complete document knowledge bases with PDF text extraction, OCR for scanned documents, vector embeddings, and semantic search. Use this for creating searchable document libraries from folders of PDFs, technical standards, or any document collection.
Comprehensive Word document toolkit for reading, creating, and editing .docx files. Supports text extraction, document creation with python-docx, and tracked changes via redlining workflow. Use for legal, academic, or professional document manipulation.
Build searchable knowledge bases from document collections (PDFs, Word, text files). Use for creating technical libraries, standards repositories, research databases, or any large document collection requiring full-text search.
Convert Markdown documents with YAML frontmatter into styled, print-ready PDFs using Chrome headless.
Memory-efficient PDF processing library for large files exceeding 100MB and 1000 pages
Sub-skill of pdf: pdftotext (Poppler) (+2).