fireworks-skill-memory — Claude Skill by yizhiyanhua-ai

by yizhiyanhua-ai · Claude Skill · ★ 90

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About fireworks-skill-memory

fireworks-skill-memory Persistent experience memory for Claude Code skills. Claude remembers what it learned — session after session, skill by skill. 中文文档 · Report Bug · Request Feature The Problem Every Claude Code session starts from zero. The same mistakes repeat — wrong API parameters, broken sequences, proxy pitfalls — because Claude has no memory between sessions. Session 1: "Don't forget — use index=0 for Feishu blocks" ✓ works Session 2: same mistake again ✗ forgot Session 3: same mistake again ✗ for

Quick Facts

Stars90
Forks7
LanguagePython
CategoryClaude Skill
LicenseMIT
Quality Score57.394/100
Last Updated2026-05-02
Created2026-03-27
Platformsclaude-code, python
Est. Tokens~12k

fireworks-skill-memory alternative? Top 4 similar tools

Looking for a fireworks-skill-memory alternative? If you're comparing fireworks-skill-memory with other claude skill tools, these 4 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.

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Frequently Asked Questions

What is fireworks-skill-memory?

fireworks-skill-memory is Persistent, per-skill experience memory for Claude Code. It is categorized as a Claude Skill with 90 GitHub stars.

What programming language is fireworks-skill-memory written in?

fireworks-skill-memory is primarily written in Python.

How do I install or use fireworks-skill-memory?

You can find installation instructions and usage details in the fireworks-skill-memory GitHub repository at github.com/yizhiyanhua-ai/fireworks-skill-memory. The project has 90 stars and 7 forks, indicating an active community.

What license does fireworks-skill-memory use?

fireworks-skill-memory is released under the MIT license, making it free to use and modify according to the license terms.

What are the best alternatives to fireworks-skill-memory?

The top alternatives to fireworks-skill-memory on Agent Skills Hub include life-sciences, claude-ai-mcp, skyll. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.

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