القائمة
Use when long-running agent loops are hitting context limits, accumulating large tool outputs, or need ReMe message offload and reload patterns to avoid context rot.
التثبيت باستخدام Codex أو Claude انسخ هذا Prompt والصقه في Codex أو Claude أو مساعد آخر ليراجع صفحة Skill ويثبّتها لك.
استنادا إلى تصنيف SOC المهني
Use when an agent needs a file-first ReMe workspace as the source of durable setup facts, stable preferences, or reusable daily decision records.
Use when an agent needs a file-first ReMe workspace as the source of durable setup facts, stable preferences, or reusable daily decision records.
Use when you need vector-backed personal memory in ReMe, including preference extraction, personal-memory retrieval, or PersonalMemoryService and ReMeApp integration.
Use when integrating ReMeLight into an agent loop and you need file-based context checks, compaction, tool-result offload, semantic search, or session memory.
Use when starting ReMe over HTTP or MCP, or when embedding ReMeApp directly into an application without changing memory-type semantics.
Use when you need ReMe to learn from prior task trajectories, extract reusable success or failure patterns, or retrieve procedural memory for similar tasks.
| name | reme-working-memory |
| description | Use when long-running agent loops are hitting context limits, accumulating large tool outputs, or need ReMe message offload and reload patterns to avoid context rot. |
Use this skill for ReMe's working-memory and context-engineering primitives.
Use this skill when you need to:
Do not use this skill for long-term semantic memory policy, personal/task/tool memory classification, or service startup.
This skill centers on two operation families:
Typical reload tools include grep-style search and targeted file reads over offloaded artifacts.
