skill-from-memory

Convert memory, conversation history, or completed tasks into publishable OpenClaw skills. Use when (1) A task or workflow should be reusable, (2) Extracting lessons from memory to create tools, (3) Packaging solved problems as skills for future use, (4) Publishing skills to GitHub and ClawHub registry.

Safety Notice

This listing is from the official public ClawHub registry. Review SKILL.md and referenced scripts before running.

Copy this and send it to your AI assistant to learn

Install skill "skill-from-memory" with this command: npx skills add skill-from-memory

Skill from Memory

Transform your work into reusable skills. Extract workflows, solutions, and patterns from conversation history or memory files, package them as skills, and publish to GitHub and ClawHub.

Overview

This skill automates the complete workflow:

  1. Extract - Parse conversation history or memory for reusable patterns
  2. Design - Structure as a proper skill with SKILL.md and resources
  3. Create - Generate skill files and scripts
  4. Publish - Push to GitHub and publish to ClawHub

Quick Start

Create Skill from Recent Conversation

# Analyze last conversation and create skill draft
./scripts/extract-from-history.sh /path/to/session.jsonl ./my-new-skill

# Or specify a time range
./scripts/extract-from-history.sh /path/to/session.jsonl ./my-new-skill --since "2026-02-03" --pattern "backup"

Create Skill from Memory File

# Extract from memory markdown
./scripts/extract-from-memory.sh /path/to/memory/2026-02-04.md ./my-new-skill

Full Auto-Create and Publish

# One command: extract, create, and publish
./scripts/create-and-publish.sh \
  --source /path/to/session.jsonl \
  --skill-name "my-automation" \
  --github-repo "user/my-skills" \
  --clawhub-slug "my-automation"

Workflow Steps

Step 1: Extract Requirements

Identify from conversation/memory:

  • Task Pattern: What workflow was solved?
  • Inputs/Outputs: What goes in, what comes out?
  • Scripts/Tools: What code was written?
  • Key Decisions: What choices were made?

Step 2: Design Skill Structure

Decide resource types:

  • scripts/ - For reusable code
  • references/ - For documentation
  • assets/ - For templates/files

Step 3: Create Skill Files

Generate:

  • SKILL.md with frontmatter and instructions
  • Scripts in scripts/
  • Any reference files

Step 4: Publish

Push to GitHub and publish to ClawHub:

./scripts/publish.sh ./my-skill \
  --github "user/repo" \
  --clawhub-slug "my-skill" \
  --version "1.0.0"

Scripts Reference

extract-from-history.sh

Parse conversation JSONL for skill content.

./scripts/extract-from-history.sh <session.jsonl> <output-dir> [options]

Options:
  --since DATE     Only extract from DATE onwards
  --pattern REGEX  Filter messages matching pattern
  --tools-only     Only extract tool usage patterns

extract-from-memory.sh

Parse memory markdown files.

./scripts/extract-from-memory.sh <memory.md> <output-dir>

create-skill.sh

Generate skill structure from extracted content.

./scripts/create-skill.sh <extracted-content-dir> <skill-name>

Options:
  --description "..."  Skill description
  --type workflow    Skill type (workflow|tool|reference)

publish.sh

Complete publish workflow.

./scripts/publish.sh <skill-path> [options]

Options:
  --github REPO      GitHub repo (owner/repo)
  --clawhub-slug     ClawHub slug
  --version VER      Version tag
  --skip-github      Skip GitHub push
  --skip-clawhub     Skip ClawHub publish

Example: Converting a Task to Skill

Original Task (from conversation)

User: "帮我设置每天自动备份OpenClaw配置" → Agent creates backup scripts + cron setup

Skill Creation Process

  1. Extract:

    ./scripts/extract-from-history.sh \
      ~/.openclaw/agents/main/sessions/latest.jsonl \
      ./extracted-backup
    
  2. Design:

    • Type: Workflow skill
    • Scripts: backup.sh, setup-cron.sh, cleanup.sh
    • No assets needed
  3. Create:

    ./scripts/create-skill.sh ./extracted-backup cron-backup \
      --description "Automated backup scheduling with cron" \
      --type workflow
    
  4. Publish:

    ./scripts/publish.sh ./cron-backup \
      --github "zfanmy/openclaw-skills" \
      --clawhub-slug "cron-backup" \
      --version "1.0.0"
    

Best Practices

What Makes a Good Skill

Do:

  • Single, well-defined purpose
  • Reusable across contexts
  • Includes working scripts
  • Clear usage examples
  • Progressive disclosure design

Don't:

  • Too broad or vague
  • Hardcoded personal paths
  • Missing error handling
  • Undocumented assumptions

Extracting from Memory

Look for these patterns:

  • "帮我写一个脚本..."
  • "设置定时任务..."
  • "以后每次都要..."
  • "这个流程可以复用..."

GitHub Integration

Required setup:

# Configure git
git config --global user.name "Your Name"
git config --global user.email "your@email.com"

# Setup SSH key for GitHub
ssh-keygen -t ed25519 -C "your@email.com"
# Add ~/.ssh/id_ed25519.pub to GitHub Settings → SSH Keys

# Login to ClawHub
clawhub login

Versioning

Follow semantic versioning:

  • 1.0.0 - Initial release
  • 1.0.1 - Bug fix
  • 1.1.0 - New feature
  • 2.0.0 - Breaking change

Troubleshooting

Extraction finds nothing

  • Check session file path
  • Verify date range with --since
  • Try broader pattern matching

GitHub push fails

  • Verify SSH key is added to GitHub
  • Check repo exists and you have access
  • Ensure git config user.name/email set

ClawHub publish fails

  • Run clawhub login first
  • Check skill validation passes
  • Verify slug is unique

Skill doesn't work when used

  • Test scripts manually first
  • Check for hardcoded paths
  • Verify all dependencies listed
  • Run with --examples flag when creating

Related Skills

  • skill-creator - Low-level skill creation utilities
  • cron-backup - Example output skill (backup automation)
  • clawhub - ClawHub CLI operations

Source Transparency

This detail page is rendered from real SKILL.md content. Trust labels are metadata-based hints, not a safety guarantee.

Related Skills

Related by shared tags or category signals.

Automation

Video Call Agent

Start a video call with a real-time AI avatar using the Runway Characters API. The agent sends the user a call invite link — for standups, urgent alerts, che...

Registry SourceRecently Updated
Automation

Clawshake

B2B deal discovery for AI agents. Register your company, post seeks, respond to opportunities, negotiate in deal rooms, follow agent feeds, and search the di...

Registry SourceRecently Updated
Automation

Weixin Task Workbench

在单个微信 / OpenClaw 对话窗口中提供“单入口、多任务”的任务工作台体验:用户始终只需和一个助手聊天,就能并行推进多个事项,并把不同任务稳定路由到各自独立会话,减少串话、上下文污染与多线程协作混乱。适用于微信中的长期协作、任务切换、任务总结、任务归档与任务生命周期管理;当用户发送“任务列表 / 新建任务...

Registry SourceRecently Updated
Automation

自动记忆进化

Automatically summarize daily discussions and update memory files. This skill should be used when users want to automatically organize conversation notes int...

Registry SourceRecently Updated