stock-data-skill
OpenClaw Skill for stock data analysis
Enable and configure Moltbot/Clawdbot memory search for persistent context. Use when setting up memory, fixing "goldfish brain," or helping users configure memorySearch in their config. Covers MEMORY.md, daily logs, and vector search setup.
请根据来源仓库和你的 AI 工具说明安装此技能。先阅读技能文件和依赖要求,再添加到工作流。
SkillHub CLI
skillhub install gwsq/memory-setup-1-0-0打开来源仓库,查看说明和兼容环境后,按来源提供的命令或步骤安装。
将来源链接提供给你的 Agent,让它先读取说明、核对依赖,并向你说明将执行的安装步骤。
Transform your agent from goldfish to elephant. This skill helps configure persistent memory for Moltbot/Clawdbot.
Add to ~/.clawdbot/clawdbot.json (or moltbot.json):
{
"memorySearch": {
"enabled": true,
"provider": "voyage",
"sources": ["memory", "sessions"],
"indexMode": "hot",
"minScore": 0.3,
"maxResults": 20
}
}
In your workspace, create:
workspace/
├── MEMORY.md # Long-term curated memory
└── memory/
├── logs/ # Daily logs (YYYY-MM-DD.md)
├── projects/ # Project-specific context
├── groups/ # Group chat context
└── system/ # Preferences, setup notes
Create MEMORY.md in workspace root:
# MEMORY.md — Long-Term Memory
## About [User Name]
- Key facts, preferences, context
## Active Projects
- Project summaries and status
## Decisions & Lessons
- Important choices made
- Lessons learned
## Preferences
- Communication style
- Tools and workflows
| Setting | Purpose | Recommended |
|---|---|---|
enabled |
Turn on memory search | true |
provider |
Embedding provider | "voyage" |
sources |
What to index | ["memory", "sessions"] |
indexMode |
When to index | "hot" (real-time) |
minScore |
Relevance threshold | 0.3 (lower = more results) |
maxResults |
Max snippets returned | 20 |
voyage — Voyage AI embeddings (recommended)openai — OpenAI embeddingslocal — Local embeddings (no API needed)memory — MEMORY.md + memory/*.md filessessions — Past conversation transcriptsboth — Full context (recommended)Create memory/logs/YYYY-MM-DD.md daily:
# YYYY-MM-DD — Daily Log
## [Time] — [Event/Task]
- Wha...
这些信息来自收录时的来源分析,可能滞后;使用前请核对最新来源文件。
# Memory Setup Skill
Transform your agent from goldfish to elephant. This skill helps configure persistent memory for Moltbot/Clawdbot.
## Quick Setup
### 1. Enable Memory Search in Config
Add to `~/.clawdbot/clawdbot.json` (or `moltbot.json`):
```json
{
"memorySearch": {
"enabled": true,
"provider": "voyage",
"sources": ["memory", "sessions"],
"indexMode": "hot",
"minScore": 0.3,
"maxResults": 20
}
}
```
### 2. Create Memory Structure
In your workspace, create:
```
workspace/
├── MEMORY.md # Long-term curated memory
└── memory/
├── logs/ # Daily logs (YYYY-MM-DD.md)
├── projects/ # Project-specific context
├── groups/ # Group chat context
└── system/ # Preferences, setup notes
```
### 3. Initialize MEMORY.md
Create `MEMORY.md` in workspace root:
```markdown
# MEMORY.md — Long-Term Memory
## About [User Name]
- Key facts, preferences, context
## Active Projects
- Project summaries and status
## Decisions & Lessons
- Important choices made
- Lessons learned
## Preferences
- Communication style
- Tools and workflows
```
## Config Options Explained
| Setting | Purpose | Recommended |
|---------|---------|-------------|
| `enabled` | Turn on memory search | `true` |
| `provider` | Embedding provider | `"voyage"` |
| `sources` | What to index | `["memory", "sessions"]` |
| `indexMode` | When to index | `"hot"` (real-time) |
| `minScore` | Relevance threshold | `0.3` (lower = more results) |
| `maxResults` | Max snippets returned | `20` |
### Provider Options
- `voyage` — Voyage AI embeddings (recommended)
- `openai` — OpenAI embeddings
- `local` — Local embeddings (no API needed)
### Source Options
- `memory` — MEMORY.md + memory/*.md files
- `sessions` — Past conversation transcripts
- `both` — Full context (recommended)
## Daily Log Format
Create `memory/logs/YYYY-MM-DD.md` daily:
```markdown
# YYYY-MM-DD — Daily Log
## [Time] — [Event/Task]
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