agent-o-rama
Layer 4: Learning and Pattern Extraction for Cognitive Surrogate Systems
npx skills add majiayu000/claude-skill-registry --skill agent-o-rama --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# agent-o-rama > Layer 4: Learning and Pattern Extraction for Cognitive Surrogate Systems **Version**: 1.0.0 **Trit**: +1 (Generator - produces learned patterns) **Bundle**: learning ## Overview Agent-o-rama trains learning agents on interaction sequences to discover behavioral patterns. It extracts temporal, topic, and network patterns from raw interaction data, producing models compatible with the cognitive-surrogate skill. **NEW (Langevin/Unworld Integration)**: Agent-o-rama now supports both: 1. **Temporal Learning** (traditional): Train interaction predictor via epochs 2. **Derivational Generation** (unworld): Generate equivalent patterns via seed chaining (100x faster, deterministic) ## Capabilities ### 1. train-interaction-predictor Train a model to predict next interactions given history. ```python from agent_o_rama import InteractionPredictor predictor = InteractionPredictor( learning_rate=0.01, epochs=100, batch_size=32, seed=0xf061ebbc2ca74d78 # SPI seed for reproducibility ) # Train on DuckDB interaction sequences predictor.fit( db_path="interactions.duckdb", table="interaction_sequences", validation_split=0.2 ) # Predict next interaction next_pred = predictor.predict(r
- Overview
- Capabilities
- 1. train-interaction-predictor
- 2. extract-temporal-patterns
- 3. extract-topic-patterns
- 4. skill-discovery
- 5. derive-patterns-via-unworld
- 6. verify-equivalence-via-bisimulation
- 7. validate-held-out
- DuckDB Integration
- Training Data Schema
- GF(3) Triad Integration
- Configuration
- Example Workflow
just agent-train interactions.duckdb --epochs 100 just agent-discover-skills --min-freq 5 just agent-validate --test-split 0.2 just agent-export patterns.json
What does the agent-o-rama skill do?
Layer 4: Learning and Pattern Extraction for Cognitive Surrogate Systems
How do I install it?
Run `npx skills add majiayu000/claude-skill-registry --skill agent-o-rama --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.