Fireworks AI Tools Memory — AI skill for Claude Code
Persistent cross-session memory for AI tools, CLI workflows, and reusable scripts across Codex and Claude-style sessions.
How to install Fireworks AI Tools Memory
This entry records only its repository, not the path inside it, so there is no
exact command to give. Open yizhiyanhua-ai/fireworks-ai-tools-memory and copy the folder into
~/.claude/skills/, or the file into ~/.claude/agents/.
What Fireworks AI Tools Memory does
Persistent cross-session memory for AI tools, CLI workflows, and reusable scripts across Codex and Claude-style sessions.
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README
fireworks-ai-tools-memory
**Persistent experience memory for AI tools, CLI workflows, and reusable scripts.**
This project extends the memory idea beyond skills and focuses on the messier operational layer: tools, toolchains, auth quirks, proxy rules, fallback paths, and scripts that already paid their tuition once.
[中文文档](README.zh-CN.md) · [MIT License](LICENSE)

Natural-Language Installation
If you mainly work through Codex, the most natural install flow is to ask for it directly instead of starting from shell commands:
Install fireworks-ai-tools-memoryAdd fireworks-ai-tools-memory to my current Codex environmentMake this a shared skill so all my Codex accounts can use it
The command-line path is just the fallback:
npx skills add yizhiyanhua-ai/fireworks-ai-tools-memory
If you already cloned the repository locally, you can also bootstrap it with:
./install-codex.sh
Common Natural-Language Requests
This skill is most useful when you want to stop relearning the same tool pain:
Inject the yt-dlp+mpv lessons before we startRemember what went wrong with ncm-cli this timeStore this script in the tool memory libraryWarn me about Spotify CLI auth pitfalls next timeFlush the tool lessons from this session
Typical CLI commands underneath:
python3 cli/tools_memory.py inject --tool yt-dlp+mpv
python3 cli/tools_memory.py checkpoint --tool ncm-cli --note "Search may work while playback still fails."
python3 cli/tools_memory.py flush --tool spotify-cli --summary-file ./session-summary.md
python3 cli/tools_memory.py register-script --tool yt-dlp+mpv --source ./scripts/play_mix.sh --name play-mix
python3 cli/tools_memory.py list-scripts --to
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