Claude Code skills for working with the MnemeBrain belief memory system.
Helps developers integrate with MnemeBrain Lite using the official Python and TypeScript SDKs. Covers the four core operations (believe, revise, retract, explain), WorkingMemoryFrame for multi-step reasoning, conflict policies, embedding providers, and the Brain high-level API.
- Triggers on: MnemeBrain SDK usage, belief memory integration, truth states, evidence polarity, WorkingMemoryFrame, confidence ranking
- Eval results: 100% pass rate with and without skill. Skill provides 47.6% token savings and 64.8% time savings by eliminating codebase exploration. See evaluation report.
Proves that mnemebrain-lite's belief memory is better than flat key-value agent memory through runnable side-by-side comparisons. Runs a bundled proof script (proof_demo.py) that computes real numbers across 6 scenarios, then frames the output for the target audience (developer or investor).
- Triggers on: "why mnemebrain", "prove it", "show me the difference", "what's wrong with a dict", value proposition questions, demo prep
- Eval results: 100% pass rate with skill vs 79% without. The skill's primary differentiator is running the proof script for verified computed values (0/3 without-skill runs executed it). 48.4% token savings. See evaluation report.
mnemebrain-skills/
README.md (this file)
mnemebrain-lite-integration/
SKILL.md SDK integration skill
references/ API reference docs
mnemebrain-lite-integration-workspace/
REPORT.md Evaluation report
grade.py Grading script
iteration-1/ Eval results
mnemebrain-lite-proof/
SKILL.md Proof/demo skill (v3)
scripts/proof_demo.py Bundled proof script (6 scenarios)
evals/evals.json Test case definitions
mnemebrain-lite-proof-workspace/
REPORT.md Evaluation report
README.md Workspace overview
iteration-1/ Failed (rate limit)
iteration-2/ First successful eval
iteration-3/ Final eval (all weaknesses fixed)
| Skill | With Skill Pass Rate | Without Skill Pass Rate | Token Savings |
|---|---|---|---|
| mnemebrain-lite-integration | 100% (15/15) | 100% (15/15) | 47.6% |
| mnemebrain-lite-proof | 100% (19/19) | 79% (15/19) | 48.4% |
Both skills provide ~48% token savings. The proof skill additionally provides a correctness advantage by forcing execution of the proof script, ensuring responses contain verified computed values rather than hand-estimated numbers.