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Search previous Claude Code conversations for facts, patterns, decisions, and context using semantic or text search
Codex または Claude でインストール この Prompt をコピーして Codex、Claude、または他のアシスタントに貼り付けると、Skill ページを確認してインストールできます。
SOC 職業分類に基づく
Designed to assist users with ADHD (Attention Deficit Hyperactivity Disorder) by mitigating task paralysis, managing distractions, providing dopamine-driven progress tracking, and using executive-friendly visual formatting. Triggered by keywords or topics: - Focus/Distraction: "adhd", "fokus", "distracted", "gampang bosan", "pecah fokus", "distraksi", "sulit konsentrasi". - Task Initiation/Paralysis: "bingung mulai", "task paralysis", "mager", "banyak tugas", "tumpuk", "stuck", "overwhelmed". - Motivation/Rewards: "dopamine", "reward", "game", "poin", "xp", "checkpoint". - Formats: "bionic reading", "visual salience", "micro-step", "body double".
Execute detailed plans in batches with review checkpoints
Prevent task duplication, file conflicts, and coordination failures when multiple subagents work in parallel on the same Superagent project. Covers both Superagent→Subagent coordination and Master Agent→Superagent worktree coordination. Uses manage_plan and manage_tasks as the coordination hub.
Execute implementation plan by dispatching fresh subagent for each task, with code review between tasks
Create isolated git worktrees with smart directory selection and safety verification
Triggered when the agent needs to audit, discover, and resolve missing features, architectural or functional gaps, performance/process bottlenecks, and structural complexity liabilities across a codebase, delivering lean and pragmatic improvement blueprints.
| name | Remembering Conversations |
| description | Search previous Claude Code conversations for facts, patterns, decisions, and context using semantic or text search |
| when_to_use | when partner mentions past discussions, debugging familiar issues, or seeking historical context about decisions and patterns |
| version | 1.1.0 |
Search archived conversations using semantic similarity or exact text matching.
Core principle: Search before reinventing.
Announce: "I'm searching previous conversations for [topic]."
Setup: See INDEXING.md
Search when:
Don't search when:
Use these native tools directly:
rmemory_search: Search through long-term structured memories (L1).rmemory_conversation_search: Search past raw conversation exchanges (L0).rmemory_save: Save a structured memory (L1) to project or global scope.Use these slash commands in the CLI:
/memory search <query>: Semantic search through long-term memories./memory status: Check RMemory status and current session key./memory add <key> <value>: Save/overwrite a long-term memory./memory delete <key>: Delete a memory./setting-rmemory <on|off>: Toggle RMemory./setting-rmemory provider <local|openai>: Set embedding provider.