remembering-conversations

Use when user asks 'how should I...' or 'what's the best approach...' after exploring code, OR when you've tried to solve something and are stuck, OR for unfamiliar workflows, OR when user references past work. Searches conversation history.

25 stars

Best use case

remembering-conversations is best used when you need a repeatable AI agent workflow instead of a one-off prompt.

Use when user asks 'how should I...' or 'what's the best approach...' after exploring code, OR when you've tried to solve something and are stuck, OR for unfamiliar workflows, OR when user references past work. Searches conversation history.

Teams using remembering-conversations should expect a more consistent output, faster repeated execution, less prompt rewriting.

When to use this skill

  • You want a reusable workflow that can be run more than once with consistent structure.

When not to use this skill

  • You only need a quick one-off answer and do not need a reusable workflow.
  • You cannot install or maintain the underlying files, dependencies, or repository context.

Installation

Claude Code / Cursor / Codex

$curl -o ~/.claude/skills/remembering-conversations/SKILL.md --create-dirs "https://raw.githubusercontent.com/ComeOnOliver/skillshub/main/skills/aiskillstore/marketplace/obra/remembering-conversations/SKILL.md"

Manual Installation

  1. Download SKILL.md from GitHub
  2. Place it in .claude/skills/remembering-conversations/SKILL.md inside your project
  3. Restart your AI agent — it will auto-discover the skill

How remembering-conversations Compares

Feature / Agentremembering-conversationsStandard Approach
Platform SupportNot specifiedLimited / Varies
Context Awareness High Baseline
Installation ComplexityUnknownN/A

Frequently Asked Questions

What does this skill do?

Use when user asks 'how should I...' or 'what's the best approach...' after exploring code, OR when you've tried to solve something and are stuck, OR for unfamiliar workflows, OR when user references past work. Searches conversation history.

Where can I find the source code?

You can find the source code on GitHub using the link provided at the top of the page.

SKILL.md Source

# Remembering Conversations

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

## Mandatory: Use the Search Agent

**YOU MUST dispatch the search-conversations agent for any historical search.**

Announce: "Dispatching search agent to find [topic]."

Then 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"
```

The agent will:
1. Search with the `search` tool
2. Read top 2-5 results with the `show` tool
3. Synthesize findings (200-1000 words)
4. Return actionable insights + sources

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

## When to Use

You often get value out of consulting your episodic memory once you understand what you're being asked. Search memory in these situations:

**After understanding the task:**
- User asks "how should I..." or "what's the best approach..."
- You've explored current codebase and need to make architectural decisions
- User asks for implementation approach after describing what they want

**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..."

**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 Tool Access (Discouraged)

You CAN use MCP tools directly, but DON'T:
- `mcp__plugin_episodic-memory_episodic-memory__search`
- `mcp__plugin_episodic-memory_episodic-memory__show`

Using these directly wastes your context window. Always dispatch the agent instead.

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

Related Skills

fixing-claude-export-conversations

25
from ComeOnOliver/skillshub

Fixes broken line wrapping in Claude Code exported conversation files (.txt), reconstructing tables, paragraphs, paths, and tool calls that were hard-wrapped at fixed column widths. Includes an automated validation suite (generic, file-agnostic checks). Triggers when the user has a Claude Code export file with broken formatting, mentions "fix export", "fix conversation", "exported conversation", "make export readable", references a file matching YYYY-MM-DD-HHMMSS-*.txt, or has a .txt file with broken tables, split paths, or mangled tool output from Claude Code.

difficult-workplace-conversations

25
from ComeOnOliver/skillshub

Structured approach to workplace conflicts, performance discussions, and challenging feedback using preparation-delivery-followup framework. Use when preparing for tough conversations, addressing conflicts, giving critical feedback, or navigating sensitive workplace discussions.

OpenAI Realtime API — Voice-Native AI Conversations

25
from ComeOnOliver/skillshub

## Overview

Daily Logs

25
from ComeOnOliver/skillshub

Record the user's daily activities, progress, decisions, and learnings in a structured, chronological format.

Socratic Method: The Dialectic Engine

25
from ComeOnOliver/skillshub

This skill transforms Claude into a Socratic agent — a cognitive partner who guides

Sokratische Methode: Die Dialektik-Maschine

25
from ComeOnOliver/skillshub

Dieser Skill verwandelt Claude in einen sokratischen Agenten — einen kognitiven Partner, der Nutzende durch systematisches Fragen zur Wissensentdeckung führt, anstatt direkt zu instruieren.

College Football Data (CFB)

25
from ComeOnOliver/skillshub

Before writing queries, consult `references/api-reference.md` for endpoints, conference IDs, team IDs, and data shapes.

College Basketball Data (CBB)

25
from ComeOnOliver/skillshub

Before writing queries, consult `references/api-reference.md` for endpoints, conference IDs, team IDs, and data shapes.

Betting Analysis

25
from ComeOnOliver/skillshub

Before writing queries, consult `references/api-reference.md` for odds formats, command parameters, and key concepts.

Research Proposal Generator

25
from ComeOnOliver/skillshub

Generate high-quality academic research proposals for PhD applications following Nature Reviews-style academic writing conventions.

Paper Slide Deck Generator

25
from ComeOnOliver/skillshub

Transform academic papers and content into professional slide deck images with automatic figure extraction.

Medical Imaging AI Literature Review Skill

25
from ComeOnOliver/skillshub

Write comprehensive literature reviews following a systematic 7-phase workflow.