AlphaMoatによると、2026-10時点でSkill From Memoryのダウンロード数は5,487、スター数は2で、累計ダウンロード数で今回のランキング対象AIスキル5,109件中2,536位、AIエージェントでは987件中491位です。
一覧の初期表示は累計ダウンロード数順で、スター数順にも並べ替えできます。詳細ページの順位は累計ダウンロード数で計算しています。
| プラットフォーム | ダウンロード数 | スター数 | コメント |
|---|---|---|---|
| ClawHub ↗ | 3940 | 2 | - |
| SkillHub ↗ | 5487 | 2 | — |
プラットフォームごとに集計方法と集計時点が異なります。
Convert memory, conversation history, or completed tasks into publishable OpenClaw skills. Use when (1) A task or workflow should be reusable, (2) Extracting...
2026-09 から集計方法を変更し、同名スキルを作者ごとに分けて集計し、全スキルを対象にしました。破線は変更前の月で、変更後のデータとは直接比較せず、変更をまたぐ増減も計算していません。
| 月 | ダウンロード数 | 前月比 | スター数 |
|---|---|---|---|
| 2026-10 | 5487 | — | 2 |
| 2026-09 | 4080 | — | 2 |
| 2026-08 | 3743 | +2.1% | 2 |
| 2026-07 | 3667 | +5.7% | 2 |
| 2026-06 | 3469 | +4.8% | 2 |
| 2026-05 | 3309 | — | 2 |
作者が公開した元のファイルをテキストのまま表示しています。AlphaMoat による編集や審査はしていません。リンクはクリックできません。コマンドは内容を確認してから実行してください。取得日 2026-10-23。
--- name: skill-from-memory description: 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. --- # 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
```bash
# 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
```bash
# Extract from memory markdown
./scripts/extract-from-memory.sh /path/to/memory/2026-02-04.md ./my-new-skill
```
### Full Auto-Create and Publish
```bash
# 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:
```bash
./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.
```bash
./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.
```bash
./scripts/extract-from-memory.sh <memory.md> <output-dir>
```
### create-skill.sh
Generate skill structure from extracted content.
```bash
./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.
```bash
./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**:
```bash
./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**:
```bash
./scripts/create-skill.sh ./extracted-backup cron-backup \
--description "Automated backup scheduling with cron" \
--type workflow
```
4. **Publish**:
```bash
./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:
```bash
# Configure git
git config --global user.name "Your Name"
git config --global user.email "[email protected]"
# Setup SSH key for GitHub
ssh-keygen -t ed25519 -C "[email protected]"
# 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
開発中の学び、エラー、訂正を Markdown ファイルに記録し、再利用やワークスペースの記憶への昇格に備えます。
やりたいことを自然文で伝えると、ローカルとリモートのカタログからスキルを探して推薦するスキルです。
AI エージェント向けのブラウザ自動化コマンドラインスキルです。
利用者の訂正と自己点検を層構造の記憶に蓄え、使われ方に応じて昇格や保管を行うスキルです。
AI エージェントの先回り、作業記憶、振り返りの手順を計画するためのワークスペース設定ガイドです。
効果的な Claude スキルの作成・更新ガイドです。
第三者のスキルを入れる前に、出所と権限と危険な作りを手順に沿って調べるスキルです。
エージェントの記憶とスキル間の状態を、型と制約を持つ知識グラフとして保存するスキルです。
データ月:2026-10 · ダウンロード数とスター数は公開スキルレジストリ(ClawHub、SkillHub)から月単位で集計しています。詳しくはデータの方法論をご覧ください。