asi-integrated
Unified ASI skill combining ACSets, Gay-MCP colors, bisimulation games, world-hopping, glass-bead synthesis, and triad interleaving for autonomous skill dispersal.
Découvrez les skills Vie quotidienne, comparez leurs dépôts et consultez leurs instructions.
Unified ASI skill combining ACSets, Gay-MCP colors, bisimulation games, world-hopping, glass-bead synthesis, and triad interleaving for autonomous skill dispersal.
"qri-valence skill"
Free Monad Generation Skill (PLUS +1)
Firecracker microVM + Morph Infinibranch WorldRuntime for parallel verse execution. Entities branch/snapshot in
Layer 4: IES Interactome Analytics with GF(3) Momentum Tracking
SDR (GNU Radio) as self-learning REPL with Borges infinite library exploration, reafference random walks, spectral gap 1/4, and maximally mixed state for agency-enabling signal processing.
Bisimulation game for resilient skill dispersal across AI agents with GF(3) conservation and observational bridge types.
Intelligently organizes your files and folders across your computer by
Improves the quality of images, especially screenshots, by enhancing
Naturality Factor Skill
Cat# Skill (ERGODIC 0)
Little Schemer Skill
Playwright-Unworld Skill: Deterministic Web Automation
Darwin Gödel Machine patterns for self-improving AI agents with open-ended
Topoi Hatchery
WEV Orderless — World Extractable Value
CIDER integration for Clojure development with nREPL
Wrapper around Tizen Studio static analyzer. Detects memory leaks, buffer overflows, and coding vulnerabilities in C/C++/JavaScript.
Searches and explores Burp Suite project files (.burp) from the command line. Use when searching response headers or bodies with regex patterns, extracting security audit findings, dumping proxy history or site...
zig skill
macOS MDM with auth manifolds as cobordisms for credential derivation
LocalSend-based P2P transfer with MCP server design for NATS/Tailscale discovery and throughput tuning.
Geodesic Manifold Skill
Rust fuzzing with Ruzzy for automated vulnerability discovery.
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.