lum1104/uni-code/cross-agent-recall
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Recall the user's past coding-agent sessions across Claude Code AND Codex via uni-code. Use when the user references earlier work, a past fix, a decision, a command they ran before, or a session in another agent ("how did we fix X", "what did I try in Codex yesterday", "the approach from last week").
Install
npx vskill@latest install lum1104/uni-code/cross-agent-recallSKILL.md
Cross-agent recall
This machine has uni-code installed: a local, read-only index of every Claude Code and Codex session, exposed through the uni-code MCP server.
When to reach for it
- The user references past work you don't have in context: "that bug we fixed", "the command from last time", "why did we choose X".
- The user mentions another agent: "I started this in Codex", "Claude tried something yesterday".
- You are about to re-derive something (a config, a fix, an investigation) the user has plausibly done before — one cheap search first can save the whole rework.
How to use it
resume_sessionwhen the user wants to CONTINUE earlier work in earnest ("resume the Codex session", "continue exactly where I left off") — it reconstructs the session's effective context: the source agent's own compaction summary plus everything after it. Passproject: "."; if the result turns out to be this very conversation, pass the other agent's name or an explicit id.get_handofffor a quick one-page orientation instead (goal, where it ended, files touched, commands, errors) when the user just wants you up to speed, not a full continuation.search_historywith distinctive terms — code identifiers and error strings beat prose; Chinese/Japanese/Korean queries work. Addproject: "."to scope to the current project.read_sessionon the best hit's id. Default returns the END of the session (outcomes, conclusions); passfrom_start: trueto see the original goal.list_sessionswhen there is no search term — e.g. "what was I doing yesterday?".
Notes
- Results may come from a different agent than the current one; treat them as the user's own history, and say which agent/session an answer came from.
- Everything is local and read-only; the index refreshes automatically on each query. If the very first query on a machine is slow, that is the one-time initial indexing.
- If a search returns nothing, retry once with fewer or different terms before concluding the history doesn't exist.
Security
- Security scanPassed, 90 of 100Pattern checks on the skill's files.
- Model reviewPassed
Quality evaluation
- Task evaluationNot runNo evaluation yet. Run one in Skill Studio.
Source
- SKILL.md in the repositoryCheckingskills/cross-agent-recall/SKILL.md
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Works with
Any agent vskill installs to: 56 targets in all. These 39 have a page on this site.
- Claude Code
- Cursor
- GitHub Copilot
- Windsurf
- Codex
- Gemini CLI
- Cline
- Amp
- Roo Code
- Goose
- Continue
- Kilo Code
- Junie
- Trae
- OpenHands
- Qwen Code
- AI Agent
- Tabnine Chat
- Sourcegraph Cody
- Amazon Q
- Firebase Genkit
- Sweep
- Devin
- Phind
- Mentat
- Claude Desktop
- Aider
- GPT Pilot
- Plandex
- bolt.new
- v0
- Replit Agent
- Anse
- TypingMind
- BetterChatGPT
- LibreChat
- Warp AI
- Pieces
- Fig AI
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