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Development

Frameworks, languages, and architectural tools.

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full-stack

31

slim-website-maker

Autonomous website generator skill for creating customized Docusaurus documentation websites. Analyzes project content, generates intelligent website structure, and validates changes with iterative build testing until successful. Creates git branch and commits with clear messages. Auto-detects project type and customizes accordingly. Use when generating project documentation websites, creating content-driven sites, or automating website creation with build validation.

NASA-AMMOS

development

full-stack

31

nextjs

Guide for implementing Next.js - a React framework for production with server-side rendering, static generation, and modern web features. Use when building Next.js applications, implementing App Router, working with server components, data fetching, routing, or optimizing performance.

timelessco

development

frontend

31

tailwindcss

Guide for implementing Tailwind CSS - a utility-first CSS framework for rapid UI development. Use when styling applications with responsive design, dark mode, custom themes, or building design systems with Tailwind's utility classes.

timelessco

development

cms-platformsmarketplace

31

slim-rebranding

Comprehensive workflow for rebranding SLIM-based Docusaurus websites for domain-specific projects. Handles hero customization, registry imports from external SLIM instances, page template generation, and complete website configuration. Creates customized SLIM forks with domain-specific branding, marketplace entries, and documentation. Includes detailed plan templates and step-by-step guides with git workflow and iterative build testing.

NASA-AMMOS

development

full-stack

31

slim-rebranding

Rebranding agent for branding the slim framework for a new project customized for a specific domain. main. Use this skill whenever you'd like to leverage the Slim Marketplace framework for a customized project, but you don't want to keep the slim branding.

NASA-AMMOS

development

framework-internals

31

schemelike-metacircular-eval

Guide for building metacircular evaluators in Scheme-like languages. This skill applies when implementing interpreters that can interpret themselves, handling tasks involving eval/apply loops, environment management, closure implementation, and multi-level interpretation. Use for any metacircular evaluator, Scheme interpreter, or self-interpreting language implementation task.

letta-ai

development

framework-internals

31

largest-eigenval

Guidance for optimizing numerical linear algebra computations, particularly finding eigenvalues of small dense matrices faster than standard library implementations. This skill applies when the task involves performance optimization of matrix operations, beating numpy/scipy performance baselines, or writing high-performance numerical code with Cython/LAPACK.

letta-ai

development

framework-internals

31

build-cython-ext

Guidance for building and fixing Cython extensions, particularly for numpy compatibility issues. This skill should be used when tasks involve compiling Cython code, fixing deprecated numpy type errors, or resolving compatibility issues between Cython extensions and modern numpy versions (2.0+).

letta-ai

development

framework-internals

31

make-doom-for-mips

Guide for cross-compiling complex C programs (like DOOM) for embedded MIPS environments with custom VM runtimes. This skill applies when building software that targets MIPS architecture with limited stdlib support, custom syscall interfaces, or JavaScript-based VM execution environments. Use when cross-compiling games, applications, or any C code for constrained MIPS targets.

letta-ai

development

framework-internals

31

polyglot-c-py

Guidance for creating polyglot files that are valid in both Python and C. This skill applies when tasked with writing code that must be parseable and executable by both the Python interpreter and C compiler. Covers polyglot syntax techniques, testing strategies, and critical cleanup requirements.

letta-ai

development

framework-internals

31

portfolio-optimization

Guidance for implementing high-performance portfolio optimization using Python C extensions. This skill applies when tasks require optimizing financial computations (matrix operations, covariance calculations, portfolio risk metrics) by implementing C extensions for Python. Use when performance speedup requirements exist (e.g., 1.2x or greater) and the task involves numerical computations on large datasets (thousands of assets).

letta-ai

development

framework-internals

31

torch-tensor-parallelism

Guidance for implementing tensor parallelism in PyTorch, including ColumnParallelLinear and RowParallelLinear layers. This skill should be used when implementing distributed tensor parallel operations, sharding linear layers across multiple GPUs, or simulating collective operations like all-gather and all-reduce for parallel computation.

letta-ai

development

framework-internals

31

circuit-fibsqrt

Guide for implementing combinational/sequential logic circuits using gate-level descriptions in text-based simulators. This skill applies when building circuits for mathematical functions like integer square root, Fibonacci sequences, or similar computations that require both combinational logic (arithmetic operations) and sequential logic (feedback loops, state machines). Use this skill when the task involves generating gate netlists, implementing multi-bit arithmetic circuits, or debugging event-driven circuit simulators.

letta-ai

development

framework-internals

31

make-doom-for-mips

Guidance for cross-compiling complex C programs (like Doom) to run on custom MIPS virtual machines or emulators. This skill should be used when tasked with building software for non-standard MIPS targets that use custom syscall interfaces, require freestanding compilation (-nostdlib), or involve running binaries in JavaScript/custom VM environments.

letta-ai

development

framework-internals

31

compile-compcert

Guide for building CompCert, the formally verified C compiler, from source. This skill should be used when compiling, building, or installing CompCert, or when working with Coq-based software that has strict dependency version requirements. Covers OCaml/opam setup, Coq version compatibility, memory management, and common build pitfalls.

letta-ai

development

framework-internals

31

circuit-fibsqrt

Guidance for building digital logic circuits that compute composite functions like Fibonacci of integer square root. This skill applies when implementing combinational and sequential logic in gate-level simulators, particularly when combining algorithms (like isqrt and Fibonacci) under resource constraints (gate counts, simulation steps). Use for circuit synthesis, HDL-style logic design, or gate-level algorithm implementation tasks.

letta-ai

development

framework-internals

31

write-compressor

This skill provides guidance for implementing custom compression encoders that must be compatible with existing decoders (especially arithmetic coding). It should be used when the task requires writing a compressor/encoder that produces output compatible with a given decompressor/decoder, or when implementing arithmetic coding or similar bit-level compression schemes.

letta-ai

development

framework-internals

31

nix-best-practices

Nix patterns for flakes, overlays, unfree handling, and binary overlays. Use when working with flake.nix or shell.nix.

0xBigBoss

development

framework-internals

31

make-mips-interpreter

Guidance for building MIPS interpreters or emulators that execute MIPS binaries. This skill applies when implementing CPU emulation, ELF loaders, instruction decoders, or syscall handlers for MIPS architecture. Use when tasks involve creating virtual machines for MIPS executables, interpreting MIPS assembly instructions, or emulating MIPS system calls.

letta-ai

development

framework-internals

31

portfolio-optimization

Guide for optimizing Python numerical computations with C extensions. This skill should be used when tasks involve creating C extensions for Python, implementing mathematical algorithms (matrix operations, linear algebra) in C, or optimizing computational bottlenecks to achieve significant speedup. Particularly relevant for portfolio risk/return calculations, scientific computing, and performance-critical code requiring validation against baseline implementations.

letta-ai

development

framework-internals

31

torch-tensor-parallelism

This skill provides guidance for implementing tensor parallelism in PyTorch, specifically column-parallel and row-parallel linear layers. Use when implementing distributed neural network layers that split weights/activations across multiple ranks, working with torch.distributed for model parallelism, or implementing ColumnParallelLinear and RowParallelLinear classes.

letta-ai

development

framework-internals

31

build-pov-ray

Guidance for compiling POV-Ray 2.2 (a 1990s-era ray tracing software) from source on modern Linux systems. This skill should be used when the task involves downloading, extracting, and building POV-Ray 2.2 or similar legacy/historical software that requires special handling for modern compiler compatibility.

letta-ai

development

framework-internals

31

make-mips-interpreter

Guide for implementing MIPS CPU interpreters/emulators, particularly for running compiled MIPS ELF binaries. This skill applies when building virtual machines to execute MIPS32 code, creating emulators for retro game ports (like Doom), or implementing CPU simulators. Use for tasks involving ELF parsing, instruction decoding, syscall emulation, and memory management for MIPS architecture.

letta-ai

development

framework-internals

31

write-compressor

Guidance for implementing encoders/compressors that must produce output compatible with an existing decoder/decompressor. This skill applies when tasked with writing compression algorithms, arithmetic coders, entropy encoders, or any encoder that must be the inverse of a given decoder implementation.

letta-ai

development

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