docx-templates
Template-based Word document generation using Jinja2 syntax. Create reports, contracts, and documents with loops, conditionals, tables, and mail merge capabilities.
Browse published AI skills maintained by vamseeachanta. Compare skill descriptions and follow each source repository for setup instructions.
Indexed skills
274Repository stars across indexed skills
914Repository forks
139Average repository stars per indexed skill
3Repository stars may repeat across skills from the same repository.
Template-based Word document generation using Jinja2 syntax. Create reports, contracts, and documents with loops, conditionals, tables, and mail merge capabilities.
Create and manipulate PowerPoint presentations programmatically. Build slide decks with layouts, shapes, charts, tables, and images. Generate data-driven presentations from templates.
Manipulate PDF documents programmatically. Merge, split, rotate, and watermark PDFs. Extract text and metadata. Handle form filling and encryption/decryption.
Universal document converter for transforming Markdown to PDF, DOCX, HTML, LaTeX, and 40+ other formats. Covers templates, filters, citations with BibTeX/CSL, and batch conversion automation scripts.
Create and manipulate Microsoft Word documents programmatically. Build reports, contracts, and documentation with full control over paragraphs, tables, headers, styles, and images.
Extract and process energy data from BSEE (Gulf of Mexico) and SODIR (Norway) regulatory databases
Open-source workflow automation platform with visual node-based editor, 400+ integrations, webhooks, and self-hosted deployment capabilities
Advanced git workflows including rebase, worktrees, bisect, hooks, and monorepo patterns
Developer-first workflow engine that turns scripts into workflows and UIs, supporting Python, TypeScript, Go, and Bash with approval flows, schedule management, and self-hosted deployment
Self-hosted no-code automation platform with visual flow builder, type-safe custom pieces, API integrations, and event-driven triggers
CI/CD automation and workflow orchestration using GitHub Actions for builds, tests, deployments, and repository automation
Automated data quality reports with comprehensive variable analysis, missing value detection, correlations, and HTML report generation - formerly pandas-profiling
Essential CLI tools and shell productivity patterns for efficient terminal workflows
VS Code productivity optimization with essential extensions, settings sync, profiles, keybindings, snippets, and workspace configuration
Publish documentation and books with GitBook including spaces, collections, variants, Git sync, collaboration, and API integration
Create professional Markdown-based slide presentations with Marp. Covers themes, directives, speaker notes, presenter view, and export to PDF, HTML, and PPTX formats. Includes VS Code integration, CLI usage, an...
macOS launcher automation with Raycast extensions (TypeScript/React) and Alfred workflows (AppleScript/Python) for keyboard-driven productivity
Configure Python projects with pyproject.toml for modern packaging, tools, and dependency management
UV for fast Python package management, virtual environments, and project workflows
Comprehensive prompting techniques including chain-of-thought, few-shot, zero-shot, system prompts, persona design, and evaluation patterns
Compile prompts into self-improving pipelines with signatures, modules, optimizers, and programmatic prompt engineering
LLM prompt management and evaluation platform. Version prompts, run A/B tests, evaluate with metrics, and deploy with confidence using Agenta's self-hosted solution.
Conversational data analysis using natural language queries on DataFrames. Chat with your data using LLMs to generate insights, create visualizations, and explain code.
Build production-ready LLM applications with chains, agents, memory, tools, and RAG pipelines using the LangChain framework
The default order uses GitHub repository stars from our indexed data. Stars belong to the source repository and may be shared by multiple skills. They indicate repository interest, not skill installs or an independent quality score.