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conversation-recovery对话恢复

Agent Skill

conversation-recovery 用于查找、检索和筛选相关信息,适合在 OpenClaw 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

6,030

周安装

259

GitHub Stars

公开资料未说明

下载量

2,113
OpenClaw

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

MIT-0

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:conversation-recovery(对话恢复)
来源仓库:https://github.com/harrylabsj/conversation-recovery
安装命令:
openclaw skills install conversation-recovery
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install conversation-recovery

简介

conversation-recovery 恢复中断的 OpenClaw 会话上下文。

  • 适用于跨会话任务延续或断线重连场景。
  • 捕获对话状态并在恢复时重建上下文。
  • 使用前需确保会话数据可访问。conversation-recovery 属于研究检索类 Skill,可作为该场景下的辅助能力补充。
  • 建议定期备份重要会话以防丢失。

SKILL.md

name
conversation-recovery
description
Capture and recover conversation state across OpenClaw sessions. Use when conversations get interrupted, span multiple sessions, or need context restoration. Helps save progress, restore context, and manage long-running tasks.

conversation-recovery

Capture and recover conversation state across OpenClaw sessions.

Description

This skill provides conversation state management and recovery capabilities for OpenClaw. When conversations get interrupted or span multiple sessions, it captures the essential context (intents, facts, tasks) and allows seamless recovery.

Use Cases

  • Long-running tasks: Save progress when a conversation spans multiple days
  • Context restoration: Recover where you left off after interruptions
  • Session handoff: Transfer context between different channels/platforms
  • Memory management: Archive old sessions while preserving key information

Installation

# Dependencies are managed via package.json
npm install

# Build TypeScript
npm run build

Core Concepts

Session

A conversation container with metadata (status, channel, timestamps).

Snapshot

A point-in-time capture of conversation state containing:

  • Intents: What the user wants to accomplish
  • Facts: Established information and preferences
  • Tasks: Action items and their status

Recovery

Restoring context from a snapshot to continue a conversation seamlessly.

API Usage

Starting a Session

import { startSession } from 'conversation-recovery';

const session = await startSession(
  'Project Planning Discussion',
  'discord'
);

Capturing a Snapshot

import { captureSnapshot } from 'conversation-recovery';

const snapshot = await captureSnapshot(session.id, {
  description: 'User wants to plan Q3 roadmap',
  intents: [{
    id: 'intent_1',
    description: 'Create Q3 product roadmap',
    confidence: 0.95,
    fulfilled: false,
    createdAt: new Date().toISOString()
  }],
  facts: [{
    id: 'fact_1',
    statement: 'Team has 5 engineers available',
    category: 'constraint',
    confidence: 1.0,
    active: true,
    createdAt: new Date().toISOString()
  }],
  tasks: [{
    id: 'task_1',
    description: 'Gather requirements from stakeholders',
    status: 'pending',
    priority: 'high',
    relatedIntentIds: ['intent_1'],
    dependencies: [],
    createdAt: new Date().toISOString(),
    updatedAt: new Date().toISOString()
  }]
});

Recovering a Session

import { recoverSession } from 'conversation-recovery';

const recovery = await recoverSession(session.id);
// Returns RecoverySummary with key intents, facts, tasks, and suggestions

Managing Sessions

import { 
  pauseSession, 
  resumeSession, 
  archiveSession,
  getActiveSessions,
  deleteSession 
} from 'conversation-recovery';

await pauseSession(session.id);      // Mark as paused
await resumeSession(session.id);     // Mark as active
await archiveSession(session.id);    // Mark as archived
await deleteSession(session.id);     // Permanently delete

const active = await getActiveSessions();

Storage Operations

import { 
  getSession,
  getSnapshot,
  getSessionSnapshots,
  getLatestSnapshot,
  deleteSnapshot,
  listSessions,
  getStorageStats,
  cleanupSnapshots
} from 'conversation-recovery';

const session = await getSession(sessionId);
const snapshot = await getSnapshot(snapshotId);
const snapshots = await getSessionSnapshots(sessionId);
const latest = await getLatestSnapshot(sessionId);

const allSessions = await listSessions();
const stats = await getStorageStats();

// Keep only last 10 snapshots
await cleanupSnapshots(sessionId, 10);

Data Models

Session

interface Session {
  id: string;
  createdAt: string;
  updatedAt: string;
  title?: string;
  channel?: string;
  status: 'active' | 'paused' | 'recovered' | 'archived';
  snapshots: string[];
}

Snapshot

interface Snapshot {
  id: string;
  sessionId: string;
  createdAt: string;
  description?: string;
  intents: Intent[];
  facts: Fact[];
  tasks: Task[];
  context?: string;
  tokenCount?: number;
}

Intent

interface Intent {
  id: string;
  description: string;
  confidence: number;
  sourceMessageId?: string;
  fulfilled: boolean;
  createdAt: string;
}

Fact

interface Fact {
  id: string;
  statement: string;
  category: 'preference' | 'constraint' | 'context' | 'decision' | 'requirement';
  sourceMessageId?: string;
  confidence: number;
  active: boolean;
  createdAt: string;
}

Task

interface Task {
  id: string;
  description: string;
  status: 'pending' | 'in_progress' | 'blocked' | 'completed' | 'cancelled';
  priority: 'low' | 'medium' | 'high' | 'critical';
  relatedIntentIds: string[];
  dependencies: string[];
  dueDate?: string;
  createdAt: string;
  updatedAt: string;
}

Storage

Data is stored in JSON files at:

  • Sessions: ~/.openclaw/conversation-recovery/sessions/
  • Snapshots: ~/.openclaw/conversation-recovery/snapshots/

Override with environment variable:

export CONVERSATION_RECOVERY_STORAGE=/custom/path

Roadmap

Phase 1 (Current)

  • ✅ Core data models (Session, Snapshot, Intent, Fact, Task)
  • ✅ File storage layer (CRUD operations)
  • ✅ Basic session lifecycle management
  • ✅ Recovery summary generation

Phase 2 (Planned)

  • Intent extraction from conversation text
  • Automatic snapshot triggers (token limits, time intervals)
  • Compression and summarization of old snapshots

Phase 3 (Planned)

  • Vector search for similar past sessions
  • Cross-session knowledge graph
  • Integration with OpenClaw memory system

License

MIT

适合场景

01

OpenClaw 用户查找和安装 Skill 时

02

用户想查找某类 Agent Skill 时

03

需要根据任务场景推荐可安装能力包时

04

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

能力 5

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

OpenClaw

96.38%
按下载量换算2,037

安全审计

VirusTotal

可疑

ClawScan

通过

Static analysis

通过

权限和风险

敏感数据

该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。来源安全扫描存在 warning/failed 结果,不能写成本站确认安全。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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