AI студия Владимира Ломтева
УСЛУГИПРОЕКТЫСТАТЬИБАЗА ЗНАНИЙМаркетплейсПолезные сервисы

Оставьте заявку,
чтобы обсудить проект

Напишите ваш вопрос, не забудьте указать телефон. Мы перезвоним и все расскажем.

Контакты

Москва

Работаем по всей России
и миру (онлайн)

+7 (999) 760-24-41

Ежедневно с 9:00 до 21:00

lamooof@gmail.com

По вопросам сотрудничества

TelegramWhatsApp

Есть предложение?

Напишите нам в мессенджеры

© 2025 AI студия Владимира Ломтева

Политика конфиденциальностиСогласие на обработку ПДн|ИНН 623412173261

    Remembering Conversations

    You MUST invoke this skill before saying "I don't know," guessing, or treating any topic as new, no matter how trivial the question seems. It supplements other memory systems, which only hold partial records. Searching past conversations is the only way to recover what was actually said.

    Скиллы для операций#GitHub#obra/episodic-memory#skills.sh
    Скачивания
    0
    В избранном
    0
    Комментарии
    0
    Просмотры
    2

    Установить скилл

    Добавьте инструмент одной командой или скачайте проверенный архив версии.

    npx skills add obra/episodic-memory --skill remembering-conversations
    Скачать ZIP
    Версия
    1.0.0+107576902105
    Автор
    Владимир Ломтев
    Репозиторий
    obra/episodic-memory
    GitHub: obra/episodic-memory

    Как установить

    1. 1Скопируйте команду из блока установки.
    2. 2Запустите её в терминале из каталога проекта.

    Документация

    Remembering Conversations

    Core principle: Search before reinventing. Searching costs nothing; reinventing or repeating mistakes costs everything.

    Mandatory: Search Historical Memory

    YOU MUST search historical memory for any historical search.

    Announce: "Searching past conversations for [topic]."

    Claude Code

    Use the Task tool with subagent_type: "search-conversations":

    Task tool:
      description: "Search past conversations for [topic]"
      prompt: "Search for [specific query or topic]. Focus on [what you're looking for - e.g., decisions, patterns, gotchas, code examples]."
      subagent_type: "search-conversations"
    

    Codex

    If a search-conversations agent is available, dispatch it with the same prompt. If not, use the MCP tools directly:

    1. Search with the episodic-memory search tool
    2. Read the top 2-5 results with the episodic-memory read tool
    3. Synthesize findings in your response
    4. Include source pointers so the user can inspect the original conversations

    The search workflow will:

    1. Search with the search tool
    2. Read top 2-5 results with the read tool
    3. Synthesize findings (200-1000 words)
    4. Return actionable insights + sources

    Saves 50-100x context vs. loading raw conversations.

    When to Use

    Use this whenever the current task would benefit from information you may have learned before, even if the user did not explicitly ask you to search.

    When past experience may help:

    • You need to recall decisions, rationale, patterns, solutions, pitfalls, or project context from earlier work
    • A task resembles something you've solved, debugged, reviewed, released, or planned before
    • You need to repeat a workflow or process that may have prior gotchas or established steps

    When you're stuck:

    • You've investigated a problem and can't find the solution
    • Facing a complex problem without obvious solution in current code
    • Need to follow an unfamiliar workflow or process

    When historical signals are present:

    • User says "last time", "before", "we discussed", "you implemented"
    • User asks "why did we...", "what was the reason..."
    • User says "do you remember...", "what do we know about..."

    Before answering from uncertainty:

    • Before guessing from memory or saying "I don't know" about something that may have been learned in a past conversation, search memory unless the current conversation already answers it

    Don't search first:

    • For current codebase structure (use Grep/Read to explore first)
    • For info in current conversation
    • Before understanding what you're being asked to do

    Direct MCP Tool Access

    Use these directly when a search agent is unavailable or the current harness does not support agent dispatch:

    • mcp__plugin_episodic-memory_episodic-memory__search
    • mcp__plugin_episodic-memory_episodic-memory__read

    When using MCP tools directly, keep context small: search first, then read only the top 2-5 relevant conversations or line ranges.

    See MCP-TOOLS.md for complete API reference if needed for advanced usage.

    Требования и возможности

    Источник пакета
    https://github.com/obra/episodic-memory/tree/10757690210574421f1df5f35835af8d0c74d984/skills/remembering-conversations

    Файлы версии

    ПутьРазмерSHA256
    MCP-TOOLS.md3507cec2ea12734433b6...
    SKILL.md33861bbb41afa737c276...

    Частые вопросы

    Как установить Remembering Conversations?
    Используйте команду npx skills add obra/episodic-memory --skill remembering-conversations или скачайте ZIP-архив.
    Можно ли скачать Remembering Conversations бесплатно?
    Да, опубликованную версию можно скачать из маркетплейса бесплатно.

    Похожие инструменты

    Смотреть все
    Story Long Write长篇网文写作。从大纲到正文,辅助长篇网络小说的创作,包括世界观、人物、情节线管理。触发方式:/story-long-write、/写长篇、「帮我开书」「写大纲」「日更」「续写」「继续写」「修改第X章」「回炉」「重写第X章」。Parallel Deep ResearchONLY use when user explicitly says 'deep research', 'exhaustive', 'comprehensive report', or 'thorough investigation'. Slower and more expensive than parallel-web-search. For normal research/lookup requests, use parallel-web-search instead. Supports multi-turn: pass --previous-interaction-id from a prior research or enrichment to continue with context.LangfuseInteract with Langfuse and access its documentation: tracing, monitoring, creating datasets, running experiments, and evaluating AI applications. Use when needing to (1) query or modify Langfuse data, (2) look up Langfuse documentation, concepts, integration guides, a feature or SDK usage, or (3) do any AI engineering task (AI observability, prompt engineering/management, evaluation and evaluator management, experimentation, dataset management, evaluation-driven CI/CD, feedback collection). Invoke it for tasks in this scope even when Langfuse is not configured or explicitly mentioned.
    Комментарии

    Войдите, чтобы оставить комментарий.

    Комментариев пока нет.

    Установить скилл

    Добавьте инструмент одной командой или скачайте проверенный архив версии.

    npx skills add obra/episodic-memory --skill remembering-conversations
    Скачать ZIP
    Версия
    1.0.0+107576902105
    Автор
    Владимир Ломтев
    Репозиторий
    obra/episodic-memory
    GitHub: obra/episodic-memory
    Remembering Conversations — Скилл для ИИ-агентов | AI Рассвет
    Excel Automation>