Discover Agent Skills for developer tools. Browse 177skills for Claude, ChatGPT & Codex.
Facilitates the transition from legacy AngularJS applications to modern Angular frameworks using hybrid modes and incremental component rewrites.
Replaces temporal succession with deterministic seed-chaining to ensure consistent, mathematically verifiable state transitions.
Standardizes the creation and validation of evolutionarily robust agent skills across multiple AI platforms.
Implements Lisp-machine-inspired self-modification patterns using MCP Tasks and structure-aware version control for autonomous agent evolution.
Standardizes the development of custom Claude Code skills through structured templates, context optimization, and best practices.
Provides seamless CIDER integration for interactive Clojure development and nREPL-driven programming.
Facilitates the implementation and verification of synthetic higher categories using the Segal condition for coherent composition.
Automates the generation of universal constructions and adjoint functors within directed type theory frameworks.
Ensures structural integrity and mathematical consistency for skills within the plurigrid/asi ecosystem through GF(3) triad verification.
Streamlines Common Lisp development by integrating SLIME workflows for interactive code evaluation and compilation.
Implements frame-invariant self-inverse logic patterns and best-response dynamics for complex system modeling.
Implements Darwin-Gödel principles to create self-improving, evolutionarily robust skill ecosystems for AI agents.
Implements Church's lambda calculus to provide a formal mathematical foundation for functional programming and logic within Claude.
Generates production-ready JavaScript client-side scripts for Frappe and ERPNext DocType forms.
Validates navigation paths using static type inference to prevent structural errors before code execution.
Implements idiomatic patterns and best practices for building robust command-line interfaces using the Rust Clap v4+ crate.
Architects scalable, high-performance Rust UI applications using industry-proven GPUI patterns and modular code organization.
Implements robust configuration management systems for Rust command-line applications following industry standards and best practices.
Standardizes the development of modular, high-performance Claude Code skills using topological and scientific frameworks.
Manages code evolution through mathematically sound categorical patch theory for conflict-free version control.
Analyzes software project structures, technology stacks, and architectural patterns to ensure coding consistency and rapid onboarding.
Automates the extraction of hardcoded strings and converts them into structured translation keys for internationalization.
Solves 3-SAT problems and optimizes execution paths using colored subgraph isomorphism and Möbius-filtered geodesics.
Integrates higher-dimensional type theory and formal proof assistants into development workflows using observational bridge types.
Facilitates intent-centric cross-chain messaging and obstruction routing using categorical semantics and Juvix compilation.
Integrates Hylang into Emacs with LSP support, advanced REPL capabilities, and category-theoretic S-expression coloring.
Synchronizes and disperses resilient skills across AI agent ecosystems using ternary conservation and observational equivalence.
Enforces persistent, composable state patterns for topological systems by replacing ephemeral demonstrations with formal world builders.
Deploys a specialized development environment for Clojure, Julia, Python, and multimedia processing with deterministic coloring.
Indexes and maps the Plurigrid ecosystem of over 1,000 repositories using Gamut-Aware Yielding (GAY.md) color identities.
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