triadic-skill-loader
Triadic Skill Loader
Découvrez les skills Tests et sécurité, comparez leurs dépôts et consultez leurs instructions.
Triadic Skill Loader
Propagator-based parallel structure for exploiting knowledge differentials across domains using local scoped propagators and SplitMixTernary RNG.
low-discrepancy-sequences skill
Automatically creates user-facing changelogs from git commits by analyzing
Code Query with AI-enhanced deterministic analysis via SplitMix ternary classification
OSM Topology Skill
ies
WEV Tesseract Skill
Clarify requirements before implementing. Use when serious doubts araise.
Wide-gamut color sampling with splittable determinism using Pigeons.jl
Hylang Emacs integration with hy-mode, Hyuga LSP, and DisCoPy sexp coloring
Collaborative terminal session sharing using CRDT-style s-expressions
Hopf bifurcation detection for dynamical system state transitions with GF(3) phase portraits
Terminal emulation = libghostty-vt + tmux + zsh + fzf + ripgrep.
Maps security requirements to implementation. Coordinates compliance against FIPS 140-3, OCF, CommonCriteria, and Tizen specification.
Code coverage analysis for testing quality assessment.
Database schema design, optimization, and migration patterns for PostgreSQL,
Org-mode manual (25K lines info).
Narya interactive proof development with typed holes
Google Workspace MCP integration for Gmail, Drive, Calendar, Docs, Sheets, Slides, Forms, Tasks, and Chat. Use when the user wants to read/send emails, manage files, create/edit documents, schedule events, or i...
Literate programming execution engine via org-babel for polyglot skill execution
Install Codex skills into $CODEX_HOME/skills from a curated list or a GitHub repo path. Use when a user asks to list installable skills, install a curated skill, or install a skill from another repo (including...
Dynamical systems on graphs
Build modern peer-to-peer applications with Iroh. QUIC-based P2P networking, hole punching, content distribution, and decentralized data synchronization.
Le classement utilise les étoiles du dépôt GitHub indexé. Plusieurs skills peuvent partager ce nombre : ce n’est ni un nombre d’installations ni une note de qualité.