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Claude Skills by tools-only
github.com/tools-only19,166 skills18 installs6,168 views
- 054 Tectonic Bfd6c48bTectonic is a modern, self-contained LaTeX compiler based on the XeTeX engine. At 57,402,608 bytes (57.4 MB), this binary provides complete LaTeX compilation capabilities without requiring a full TeX Live installation. It automatically downloads required packages on first use. ---Votes: 0GitHub stars: 9
- 054 Tectonic Cda3acd6Tectonic is a modern, self-contained LaTeX compiler based on the XeTeX engine. At 57,402,608 bytes, this binary provides complete LaTeX compilation capabilities without requiring a full TeX Live installation. It automatically downloads required packages on first use. ---Votes: 0GitHub stars: 9
- 055 Mshtools Ipython 8e0c9de2Interactive Python execution environment providing Jupyter Notebook-style computation, data analysis, and visualization capabilities. Supports matplotlib charts, Pillow/OpenCV image processing, and persistent variable state across executions.Votes: 0GitHub stars: 9
- 055 Run 07788c69Run the skill-generator skill to create a new skill called `microsim-type-matcher`. It will take as input a single learning objective document that is created by the chapter-content-generator. These descriptions are currently stored in the `details` XML element withing chapter content. Given this input document, this skill will create a ranked-list of the microsims generators in the the intelligent-textbook microsim generator skill list. It will also give the pros and cons of each microsim ...Votes: 0GitHub stars: 9
- 056 Chapter 2cb725e9**Chapter:** 06 - Learning Graph Quality Validation **Generator:** vis-network **Match Score:** 98/100 **Difficulty:** MediumVotes: 0GitHub stars: 9
- 056 Mshtools Read File Ef6ecb03Universal file reader supporting text, images, video, and complex binary files (converting Office/PDF to markdown). Provides direct filesystem access for content ingestion and analysis.Votes: 0GitHub stars: 9
- 057 Pdf Skill Analysis 34e0f909The pdf skill handles PDF creation and processing through a multi-route architecture. Unlike other skills that use a single toolchain, PDF generation requires different approaches depending on the document type: HTML+Paged.js for business documents, LaTeX+Tectonic for academic papers, and pikepdf for existing PDF manipulation. ---Votes: 0GitHub stars: 9
- 057 Salesforce A6973fa2``` Salesforce Lightning dashboard card/tile mockup:Votes: 0GitHub stars: 9
- 058 Pivot Table 48991988/app/.kimi/skills/xlsx/scripts/KimiXlsx recheck data.xlsx /app/.kimi/skills/xlsx/scripts/KimiXlsx reference-check data.xlsx /app/.kimi/skills/xlsx/scripts/KimiXlsx inspect data.xlsx --pretty /app/.kimi/skills/xlsx/scripts/KimiXlsx pivot \ data.xlsx output.xlsx \ --source "SalesData!A1:F500" \ --rows "Product,Region" \ --values "Revenue:sum,Quantity:count" \ --location "Summary!A3" \ --name "SalesSummary" \ --style "finance" /app/.kimi/skills/xlsx/scripts/KimiXlsx validate output.xlsx ``` </Co...Votes: 0GitHub stars: 9
- 058 Standard 921fece6**IMPORTANT: Standard workflows are in SKILL.md. Only consult this file for edge cases.** This reference covers scenarios NOT handled by Primary/Secondary workflows in SKILL.md: - Multi-file datasets requiring joins - Performance optimization for very large datasets (>100K rows) - Complex validation scenarios - Advanced error recovery patterns - Custom aggregation before visualization **For standard data upload → chart creation, use SKILL.md workflows directly.**Votes: 0GitHub stars: 9
- 059 Process 7ca32cc7Process existing PDFs using Python CLI tools (pikepdf + pdfplumber). ---Votes: 0GitHub stars: 9
- 059 Survival 4c886511Survival data in scikit-survival is represented using structured arrays with two fields: - **event**: Boolean indicating whether the event occurred (True) or was censored (False) - **time**: Time to event or censoringVotes: 0GitHub stars: 9
- 060 Text 6d598e561. [Text and CSV Files](#text-and-csv-files) 2. [Spreadsheets](#spreadsheets) 3. [MAT Files](#mat-files) 4. [Images](#images) 5. [Tables and Data Types](#tables-and-data-types) 6. [Low-Level File I/O](#low-level-file-io)Votes: 0GitHub stars: 9
- 061 Architecture 28c1af50M4 is infrastructure for AI-assisted clinical research. This document explains the design philosophy, architecture, and why M4 exists.Votes: 0GitHub stars: 9
- 061 Architecture 2b2844ecThis guide shows how to use *NextGen UI Agent* in your AI application, how it plays with other building blocks of it.Votes: 0GitHub stars: 9
- 061 Architecture 3f28b07bThe PDF-to-EPUB converter uses a layered architecture that clearly separates code by modification policy.Votes: 0GitHub stars: 9
- 061 Architecture B0310637The Skill Scanner is built with a modular, extensible architecture for Agent Skills security analysis. It supports the Agent Skills specification format used by OpenAI Codex Skills and Cursor Agent Skills. This document describes the system design, data flow, and key components.Votes: 0GitHub stars: 9
- 061 Architecture Da2f6f3eTailwind v4 requires a specific architecture for CSS variable-based theming. This pattern is **mandatory** - skipping or modifying steps will break your theme.Votes: 0GitHub stars: 9
- 061 Architecture F62cb9deThis guide shows how to use *NextGen UI Agent* in your AI application, how it plays with other building blocks of it.Votes: 0GitHub stars: 9
- 061 Use 8bfd8fc7Use `geopandas.read_file()` to import vector spatial data:Votes: 0GitHub stars: 9
- 062 Document 8d9561fbThis document covers querying, searching, filtering, and streaming data in LaminDB, as well as best practices for organizing and accessing datasets.Votes: 0GitHub stars: 9
- 063 Geoseries 9cd95017A GeoSeries is a vector where each entry is a set of shapes corresponding to one observation (similar to a pandas Series but with geometric data).Votes: 0GitHub stars: 9
- 064 General 3a14d46d**General guidelines:** - Clear, concise title describing table contents - Column headers with units - Row labels aligned left, data aligned appropriately (numbers right, text left) - Footnotes for abbreviations, statistical notation, special cases - Consistent decimal places (typically 1-2 for percentages, 1-3 for continuous variables) - Consistent formatting throughout documentVotes: 0GitHub stars: 9
- 065 Reference 0bfb4645This reference covers filtering, selections, virtual columns, expressions, aggregations, groupby operations, and data transformations in Vaex.Votes: 0GitHub stars: 9
- 066 Platform 7c605113```Votes: 0GitHub stars: 9
- 067 Effective C79d5d95Effective data visualization in presentations differs fundamentally from journal figures. While publications prioritize comprehensive detail, presentation slides must emphasize clarity, impact, and immediate comprehension. This guide covers adapting figures for slides, choosing appropriate chart types, and avoiding common visualization mistakes.Votes: 0GitHub stars: 9
- 068 Type 6439a361| Type | Examples | Best For | |------|----------|----------| | **Relational** | PostgreSQL, MySQL | Transactions, complex queries, relationships | | **Document** | MongoDB, Firestore | Flexible schemas, rapid iteration | | **Key-Value** | Redis, DynamoDB | Caching, sessions, high throughput | | **Time-Series** | TimescaleDB, InfluxDB | Metrics, IoT, analytics | | **Graph** | Neo4j, Neptune | Relationships, social networks | | **Search** | Elasticsearch, Meilisearch | Full-text search, logs |Votes: 0GitHub stars: 9
- 069 Find 06384d12> Find the Leak Before It Finds You ---Votes: 0GitHub stars: 9
- 070 Descriptors E15a9865The descriptors module provides tools for computing molecular properties and descriptors.Votes: 0GitHub stars: 9
- 071 Configurable System Prompts Dfb3b45aplan 6cf6cd45This feature allows users to override the initial (common) parts of system prompts for both one-step and two-step component selection strategies through the agent configuration file. This enables domain-specific customization of LLM behavior while keeping the dynamically generated portions (component descriptions, chart instructions, examples) unchanged.Votes: 0GitHub stars: 9
- 071 Report 1cdc616bThis report analyzes all `<details>` tags (both old and new `markdown="1"` format) in the textbook chapters to categorize visualization types and prioritize skill development.Votes: 0GitHub stars: 9
- 072 Configuration 6c751820The Next Gen UI Agent can be configured in two ways: `programmatically` using Python dictionaries or `declaratively` using YAML configuration files. [Agent configuration JSON Schema and how to use it to validate YAML files in IDE is described here](../spec/config.md).Votes: 0GitHub stars: 9
- 072 Configuration 7d299378```jsonc { "$schema": "./node_modules/wrangler/config-schema.json", "placement": { "mode": "smart" } } ```Votes: 0GitHub stars: 9
- 072 Configuration 8a50500d```jsonc { "$schema": "./node_modules/wrangler/config-schema.json", "placement": { "mode": "smart", }, } ```Votes: 0GitHub stars: 9
- 072 Configuration Cda8812aThe Next Gen UI Agent can be configured in two ways: `programmatically` using Python dictionaries or `declaratively` using YAML configuration files. [Agent configuration JSON Schema and how to use it to validate YAML files in IDE is described here](../spec/config.md).Votes: 0GitHub stars: 9
- 072 Configuration F1e8f086Complete configuration reference for Grafana Tempo. Most installations only require 10-20 of these options.Votes: 0GitHub stars: 9
- 072 Consistency 7d3fe82bConsistency guidelines for all sf-diagram generated diagrams.Votes: 0GitHub stars: 9
- 073 Total 9940b3b3**Total Visual Elements:** 76 **Diagrams:** 0 **MicroSims:** 76Votes: 0GitHub stars: 9
- 074 Hide D75eb113**Total Visual Elements:** 76 **Diagrams:** 0 **MicroSims:** 76Votes: 0GitHub stars: 9
- 075 Agents 49136386This repository contains **Lofn**, an AI art generator built with Streamlit. The project orchestrates language models and image generation services to produce polished prompts and final artwork. Key directories and files include: ``` /lofn ├─ config.py # Reads API keys from environment variables ├─ config.yaml # Example configuration with all API fields ├─ helpers.py # Utility functions for charts and Discord integration ├─ parsing.py # Conser...Votes: 0GitHub stars: 9
- 075 Agents 87b923e8> **BEFORE answering ANY user request, you MUST FIRST execute 'Phase 0: Session Initialization'.** > 1. Check if `./temp/skillful-session/` exists. > 2. If it's a new request, run the initialization commands immediately. > 3. ONLY THEN proceed to answering or invoking Sam. > **DO NOT** skip this step. The Orchestrator MUST be the entry point. Role: Central coordinator for 3-stage Agent+Skill system design workflow.Votes: 0GitHub stars: 9
- 075 Agents Be525726**Version 1.0.0** Vercel Engineering January 2026 > **Note:** > This document is mainly for agents and LLMs to follow when maintaining, > generating, or refactoring React and Next.js codebases. Humans > may also find it useful, but guidance here is optimized for automation > and consistency by AI-assisted workflows. ---Votes: 0GitHub stars: 9
- 075 Document 9f30d064This document provides detailed information about differential expression (DE) analysis using scvi-tools' probabilistic framework.Votes: 0GitHub stars: 9
- 076 Api C439af5fThis document lists the primary API endpoints and examples. All JSON responses include `status` and primary payload fields for LLM-friendliness. Authentication - All endpoints except `/health` require authentication via one of: - `Authorization: Bearer <AUTOMEM_API_TOKEN>` header (recommended) - `X-API-Key: <AUTOMEM_API_TOKEN>` header - `?api_key=<AUTOMEM_API_TOKEN>` query parameter - Admin endpoints additionally require `X-Admin-Token: <ADMIN_API_TOKEN>` header. Health - GET `/health` - Retu...Votes: 0GitHub stars: 9
- 076 Arboreto 9ce12f1cArboreto leverages Dask for parallelized computation, enabling efficient GRN inference from single-machine multi-core processing to multi-node cluster environments.Votes: 0GitHub stars: 9
- 077 These E0c8786aThese fully AI/LLM selected and configured dynamic *Data UI Blocks* are supported by *UI Agent*. UI Agent selects UI component which matches best the current user prompt and [input data structure](../input_data/structure.md). *UI Agent* selects from all the supported components by default, but you can narrow choice to the components suitable for your application [in the configuration](../configuration.md#selectable_components-setstr-optional). Optionally, this components can be [mapped per `I...Votes: 0GitHub stars: 9
- 078 Process 6cc314baProcess electrocardiogram (ECG) and photoplethysmography (PPG) signals for cardiovascular analysis. This module provides comprehensive tools for R-peak detection, waveform delineation, quality assessment, and heart rate analysis.Votes: 0GitHub stars: 9
- 079 Electrodermal 301a3b0eElectrodermal Activity (EDA), also known as Galvanic Skin Response (GSR) or Skin Conductance (SC), measures the electrical conductance of the skin, reflecting sympathetic nervous system arousal and sweat gland activity. EDA is widely used in psychophysiology, affective computing, and lie detection.Votes: 0GitHub stars: 9
- 079 Output Patterns 530e14f2Use these patterns when skills need to produce consistent, high-quality output. **NOTE:** These patterns are examples. Skills support string substitutions (`$ARGUMENTS`, `$N`, `${CLAUDE_SESSION_ID}`) and dynamic context injection (\`\!\`command\`\`) for even more powerful output customization. See main SKILL.md for details. **SOURCE:** Based on Anthropic skill-creator examples (commit 69c0b1a) and skill design best practices.Votes: 0GitHub stars: 9
- 079 Output Patterns 6fa1f3ddUse these patterns when skills need to produce consistent, high-quality output.Votes: 0GitHub stars: 9