cognitive-architectures SKILL.md skillA
cognitive-architectures from andreibesleaga/gabbe is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add andreibesleaga/gabbe/cognitive-architectures@git:20261014.de0823cPins git:20261014.de0823c in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- andreibesleaga/gabbe
- Path
plugins/gabbe-brain/skills/cognitive-architectures/SKILL.md- Versions recorded
- 1
- Latest version
- git:20261014.de0823c, committed Oct 14, 2026
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- 3,481 bytes
- Repository stars
- 23
- License
- a license file GitHub does not identify
Patterns from SOAR, ACT-R, and LIDA for advanced agent cognitive cycles. Use when: cognitive, architecture, soar, act-r, lida, reasoning cycle.
Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.
What the file says
# Cognitive Architectures for Agents
## Goal
Structure agent reasoning, memory, and decision-making with patterns from classic cognitive architectures (SOAR, ACT-R, LIDA) — beyond ad-hoc prompting.
## 1. SOAR — Problem Space + Operators
Break "think" into a proposal-evaluation cycle rather than one step:
**Elaborate** (infer from state) → **Propose** candidate operators → **Evaluate** by heuristics → **Select** best → **Apply** to change state.
```python
def cognitive_cycle(state):
state = enrich_context(state) # 1. elaborate
options = generate_candidates(state) # 2. propose
scored = evaluate_candidates(options, state.goal) # 3. evaluate
return apply_operator(state, select_winner(scored)) # 4-5. select + apply
```
## 2. ACT-R — Declarative vs Procedural memory
Retrieve by **activation** (recency + frequency + relevance), not "load everything":
base-level activation (how often/recently used) + associative activation (relatedness to current focus). Below threshold → retrieval failure (don't fabricate).
```python
def retrieve_memory(query, store):
for c in store:
…Read the whole file at its exact version.
How to install
mdr add andreibesleaga/gabbe/cognitive-architectures@sha256:3ceac72f326b9532The line at the top of this page pins the label git:20261014.de0823c, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.
[](https://markdownregistry.com/a/art_wmk5zoivpsdorh5s)
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Versions
The registry has recorded 1 version of this file, committed on Oct 14, 2026.
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Source
andreibesleaga/gabbe · 23 stars · license a license file GitHub does not identify · pushed 2026-11-02 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_wmk5zoivpsdorh5s GET https://markdownregistry.com/api/v1/resolve?ref=andreibesleaga/gabbe/cognitive-architectures GET https://markdownregistry.com/api/v1/blob/3ceac72f326b953244faf8f7e37b7d6f54f2c576b52c238f541fa458a3ca7834
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