Individual skill
manage-tmcra-memory
Manage and troubleshoot TMCRA long-term memory through the bundled MCP tools and Codex device authorization. Use when a user explicitly asks to remember, recall, inspect, verify, or wait for memory; configure local Writer or organizer providers; asks why a memory was used; asks to persist an important project decision; or needs to connect or reauthorize the installed Codex plugin.
plugins/reshuibuduo/tmcra-plugin-codex/skills/manage-tmcra-memory/SKILL.md
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- Last checked
- Nov 4, 2026
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- Repository last updated
- Nov 6, 2026
- License
- Apache-2.0
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- ai-coding Repository topic
- awesome Repository topic
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SKILL.mdcore · 6,350 bytesSKILL.mdcore · 6,350 bytesSKILL.mdcore · 6,350 bytesagents/openai.yamlasset · 259 bytes
Read excerpt
# Manage TMCRA Memory
Automatic recall and capture are handled by lifecycle hooks. Use this skill for explicit memory operations and verification.
## Inspect the latest automatic recall
- Call `tmcra_last_recall` when the user asks which memories were injected for the latest answer, why TMCRA recalled something, or to show the evidence used before an answer.
- Use the default `view=latest_answer` after an answer has finished. This survives the new inspection prompt and returns the receipt promoted by that answer's `Stop` Hook.
- Use `view=current_prompt` only when the user explicitly asks about the prompt Codex is processing right now.
- Do not run a fresh search for either request. The tool reads the exact lifecycle-Hook receipt for the current project.
- Present global and project evidence separately, including their counts. Say clearly when the latest recall returned no evidence.
- The tool output is intentionally user-facing. Never supplement it with local receipt paths, scope names, tenant identifiers, database paths, query diagnostics, or raw lifecycle logs.
- Automatic recall remains silent during ordinary turns. Do not turn successful recall into a warning or interrupt every answer with a receipt.