pre-agent-ontology
Pre-Agent Ontology Skill
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Pre-Agent Ontology Skill
Use when interpreting Culture Index surveys, CI profiles, behavioral assessments, or personality data. Supports individual interpretation, team composition (gas/brake/glue), burnout detection, profile compariso...
Google Docs/Sheets management via ACSet condensation. Transforms documents into GF(3)-typed Interactions, tracks comments/cells, detects saturation when all comments resolved. Use for document workflows, spread...
GF(3) Triadic Task Routing for Subagent Orchestration
ANIMA as limit construction over condensed skill applications. Formalizes prediction markets as belief ANIMAs, structure dishes as condensation media, and impact as equivalence class change. Use for understandi...
LiveKit omni-modal continuous coaching with stick-breaking color selection,
Navigate skill graphs via deterministic random walks. Fuses derivational chains, algebraic structure, color determinism, and bidirectional flow for skill recombination.
Agent Skills formal specification for cross-platform compatibility. Ensures skills are evolutionarily robust across Claude, Codex, Cursor, Amp, and future agents.
Use macOS text-to-speech for agent narration and announcements. Sub-agents announce themselves using different language voices speaking English. Use for multi-agent workflows where each agent has a distinct voi...
Gmail inbox management via ANIMA condensation. Transforms messages into GF(3)-typed Interactions, routes to triadic queues, detects saturation for inbox-zero-as-condensed-state. Use for email triage, workflow a...
Analyzes meeting transcripts and recordings to uncover behavioral patterns,
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,
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