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multi-chat-context-manager

CLI tool to store and retrieve conversation contexts per channel/user.

derick0010 installations selon la source☆ 0 Étoiles du dépôtv1.0.2

Installation

Suivez les instructions du dépôt pour votre agent. Consultez les fichiers et dépendances avant l’installation.

SkillHub CLI

skillhub install derick001/multi-chat-context-manager

Examinez la source et la compatibilité, puis suivez les étapes d’installation.

Donnez le lien à votre agent et demandez-lui d’examiner instructions et dépendances avant d’expliquer les étapes.

Voir la source ↗Guides

Instructions

Multi-Chat Context Manager

What This Does

A simple CLI tool to store, retrieve, and clear conversation contexts. Contexts are saved as JSON, keyed by channel/user/thread IDs. This is a utility library, not an auto-integration plugin.

When To Use

  • You need to manually store conversation history per channel or user
  • You want a simple key-value context store for your scripts
  • You're building custom integrations and need context persistence

Usage

Store a conversation: python3 scripts/context_manager.py store --channel "telegram-123" --user "user-456" --message "Hello" --response "Hi there"

Retrieve context: python3 scripts/context_manager.py retrieve --channel "telegram-123" --user "user-456"

Clear context: python3 scripts/context_manager.py clear --channel "telegram-123"

List all contexts: python3 scripts/context_manager.py list

Examples

Example 1: Store and retrieve

Store: python3 scripts/context_manager.py store --channel "discord-general" --user "john" --message "What is AI?" --response "AI is artificial intelligence."

Retrieve: python3 scripts/context_manager.py retrieve --channel "discord-general" --user "john"

Output: { "channel_id": "discord-general", "user_id": "john", "history": [{"message": "What is AI?", "response": "AI is artificial intelligence."}] }

Requirements

  • Python 3.x
  • No external dependencies

Limitations

  • This is a CLI tool, not an auto-integration plugin
  • Does not automatically intercept messages from platforms
  • Stores data in plaintext JSON (not encrypted)
  • No file-locking for concurrent access
  • You must call it manually from your scripts or workflows

Informations sur la source

Source
github
Repository
openclaw/skills
Path
skills/derick001/multi-chat-context-manager
Version
1.0.2
Commit
dc62ecf1cc16905c92130d786f85baae117c8ded
Source de classification
rules
Statut
active
Visibilité
public

Ces informations proviennent de l’analyse indexée et peuvent être anciennes. Vérifiez les fichiers actuels.

Contenu extrait

SKILL.md
# Multi-Chat Context Manager

## What This Does

A simple CLI tool to store, retrieve, and clear conversation contexts. Contexts are saved as JSON, keyed by channel/user/thread IDs. This is a utility library, not an auto-integration plugin.

## When To Use

- You need to manually store conversation history per channel or user
- You want a simple key-value context store for your scripts
- You're building custom integrations and need context persistence

## Usage

Store a conversation:
python3 scripts/context_manager.py store --channel "telegram-123" --user "user-456" --message "Hello" --response "Hi there"

Retrieve context:
python3 scripts/context_manager.py retrieve --channel "telegram-123" --user "user-456"

Clear context:
python3 scripts/context_manager.py clear --channel "telegram-123"

List all contexts:
python3 scripts/context_manager.py list

## Examples

### Example 1: Store and retrieve

Store:
python3 scripts/context_manager.py store --channel "discord-general" --user "john" --message "What is AI?" --response "AI is artificial intelligence."

Retrieve:
python3 scripts/context_manager.py retrieve --channel "discord-general" --user "john"

Output:
{
  "channel_id": "discord-general",
  "user_id": "john",
  "history": [{"message": "What is AI?", "response": "AI is artificial intelligence."}]
}

## Requirements

- Python 3.x
- No external dependencies

## Limitations

- This is a CLI tool, not an auto-integration plugin
- Does not automatically intercept messages from platforms
- Stores data in plaintext JSON (not encrypted)
- No file-locking for concurrent access
- You must call it manually from your scripts or workflows

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