MattWenJunMattWenJunCommunity·9 Agent Skills Included

ClaWiser

Long-term memory, hypothesis testing, and project save-load workflows

Gives your assistant a six-layer memory system with automatic conversation archiving, semantic search tuning, and noise filtering. Adds structured workflows: hypothesis-driven debugging, scenario-first planning, and save/load checkpoints that preserve project context across sessions. Eliminates forgotten decisions, repeated mistakes, and lost progress without manual note-taking.
npx skills add MattWenJun/ClaWiser --all -g -y

All Skills in This Repository (9)

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Frequently Asked Questions

FAQPage Schema
How to install ClaWiser?

Run `npx skills add MattWenJun/ClaWiser --all -g -y` in your terminal to install all modules globally, then ask your assistant to run the ClaWiser initialization.

How to stop my assistant from forgetting past conversations?

ClaWiser's memory-deposit module builds a six-layer memory system with daily transcripts, long-term notes, and vector search so past decisions and details stay retrievable.

What are save-game and load-game in ClaWiser?

Save-game writes a structured handoff document of your project's progress and next steps, and load-game restores that context later so work continues seamlessly across sessions.

Does ClaWiser work with Claude Code and OpenClaw?

Yes. OpenClaw gets all 8 modules including memory and noise reduction, while Claude Code supports the 5 workflow modules like HDD, SDD, save-game, and load-game.

Can I use ClaWiser without coding experience?

Yes. After installation your assistant configures everything itself, and you trigger features with plain phrases like 'save game' or 'verify this idea'.

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