agent-o-rama
Layer 4: Learning and Pattern Extraction for Cognitive Surrogate Systems
Discover testing security llm ai skills, compare source repositories and read the instructions for each workflow.
Layer 4: Learning and Pattern Extraction for Cognitive Surrogate Systems
Topos Generation Skill (PLUS +1)
This skill should be used when agents generate placeholder tokens like "pseudo-", "mock-", "temporary", "TODO", "demo-", or similar incompleteness markers. Detects substitution patterns in agent OUTPUT and trig...
Comprehensive Artificial Life skill combining ALIFE2025 proceedings,
NERV - Rapid LocalSend Test with Voice
Cognitive superposition synthesizing Riehl (∞-categories), Sutskever
cat Skill: Derivational Pipe Chaining
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.
Darwin Gödel Machine patterns for self-improving AI agents with open-ended
Unison language ACSet-structured skill with hierarchical documentation parsing, SPI trajectory recording, and 1069 skill predictions from zubuyul seed.
Metaskill that fans out on every interaction, using interaction entropy
Zulip Cogen Skill 🐸⚡
Building applications with Large Language Models - prompt engineering,
Suite of tools for creating elaborate, multi-component claude.ai HTML
Julia package equivalents for 137 K-Dense-AI scientific skills. Maps Python bioinformatics, chemistry, ML, quantum, and data science packages to native Julia ecosystem.
Zero-webhook billing for AI agents
Cross-Language Strong Parallelism Invariance Verification for 15+ languages
cats.for" (Categories for AI)
Intent Sink Skill
JaxLife open-ended agentic simulator for emergent behavior, tool use,
Stigmergic agent coordination through environment modification, not messages. Vehicle semantics where carrier encodes meaning.
Run LLMs on Apple Silicon with MLX/mlx_lm - unified memory, 4-bit quantization, streaming generation, prompt caching. Optimal for M-series chips.
Google Tasks management via TasksACSet. Transforms task operations into GF(3)-typed Interactions, routes to triadic queues, detects saturation for task-zero-as-condensed-state.
Patterns for evolutionarily robust skills that adapt across agent generations. Darwin-Godel machine principles for self-improving skill ecosystems.
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