mindWrite MIND source for deterministic agentic systems, with canonical MIC@3 artifacts, supported native ELF compilation, and feature-aware guidance for MIND v0.10.2.
Install via ClawdBot CLI:
clawdbot install star-ga/mindGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Generated Mar 21, 2026
Develop custom neural network layers or full models in MIND for high-performance training and inference, leveraging its autodiff support and tensor operations. This is ideal for researchers or engineers building ML pipelines that require fine-grained control and optimization, such as in computer vision or natural language processing.
Port numerical algorithms from Python or C to MIND for simulations in physics, engineering, or finance, benefiting from static typing and compile-time shape checking. This ensures accuracy and efficiency in tasks like fluid dynamics modeling or financial risk analysis, where deterministic memory management is crucial.
Create optimized libraries for tensor operations, such as custom activation functions or solvers, using MIND's traits and generics for reusability. This supports industries needing fast, reliable numerical tools, like robotics or signal processing, with seamless integration into larger systems via LLVM IR.
Use MIND to teach concepts in statically typed languages, autodiff, and tensor programming, with examples for students to implement algorithms. This aids in academic settings or training programs focused on computational mathematics or AI, providing hands-on experience with modern language features.
Migrate numerical code from older languages like Fortran or Rust to MIND for improved maintainability and performance, utilizing its Rust-like syntax and MLIR compilation. This is valuable in industries with legacy systems, such as aerospace or manufacturing, seeking to modernize without sacrificing speed.
Offer services to businesses for developing MIND-based solutions, such as optimizing ML models or porting code, with project-based pricing. Revenue comes from hourly rates or fixed contracts, targeting clients in AI, research, or engineering sectors needing specialized expertise.
Provide a cloud-based platform with IDE integration, debugging tools, and pre-built MIND libraries for developers, using a subscription model. This generates recurring revenue from individual users or enterprise licenses, appealing to teams working on numerical computing or ML projects.
Develop online courses, workshops, and certification exams for learning MIND programming, targeting students and professionals. Revenue is earned through course fees, certification costs, and corporate training packages, capitalizing on the growing demand for skills in tensor-oriented languages.
💬 Integration Tip
Integrate MIND into existing workflows by using its LLVM IR output to link with C/C++ libraries, and leverage the standard library for common tensor operations to reduce development time.
Scored Apr 19, 2026
Harvest integration. Manage Projects, Tasks, Persons, Expenses, Clients. Use when the user wants to interact with Harvest data.
A cat clone with syntax highlighting, line numbers, and Git integration - a modern replacement for cat.
Zoho Books API integration with managed OAuth. Manage invoices, contacts, bills, expenses, and other accounting data. Use this skill when users want to read, create, update, or delete invoices, contacts, bills, expenses, or other financial records in Zoho Books. For other third party apps, use the api-gateway skill (https://clawhub.ai/byungkyu/api-gateway). Requires network access and valid Maton API key. Calls run through the `maton` CLI with OAuth login, or over raw HTTP with a Maton API key where the CLI cannot be installed. Every call is authenticated as the user's connection and reaches only what that connection's authorization allows, which the provider enforces on every request; the endpoints documented here are the ones this skill uses, and any other endpoint of this app needs the user to ask for it by name. Default to read and list calls, and confirm every write or new connection with the user. This file also documents the three constructs that turn a Zoho Books connection into automation, in the order they are used: the connection (the first step), a hosted function that runs a Zoho Books action through the Maton SDK, and a trigger that calls that function on a schedule or on an event. Those sections are the platform's own reference text, shared with the api-gateway skill, with Zoho Books examples; they add no Zoho Books capability - Zoho Books is not an event source, a trigger cannot read Zoho Books data, and the files under `references/<source>/triggers.md` are the platform's event catalogues for the sources Maton offers (time, Calendly, GitHub, Gmail, HubSpot, Linear, Notion, Slack, Stripe).
Calculate Kenya payroll deductions - PAYE, SHIF, NSSF, Housing Levy with accurate 2024/2025 rates
Faturamento NFS-e SP (Emissão e Cancelamento de Notas Fiscais em São Paulo)
Operate Holded ERP through holdedcli to read and update data safely. Use when the user asks to read, search, create, update, or delete Holded entities (conta...