stock-data-skill
OpenClaw Skill for stock data analysis
Distill verbose daily logs into compact, indexed digests. Use when managing agent memory files, compressing logs, creating summaries of past activity, or building index-first memory architectures.
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 77darius77/memory-curator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 raw daily logs (often 200-500+ lines) into ~50-80 line digests while preserving key information.
# Generate digest skeleton for today
./scripts/generate-digest.sh
# Generate for specific date
./scripts/generate-digest.sh 2026-01-30
Then fill in the <!-- comment --> sections manually.
A good digest captures:
| Section | Purpose | Example |
|---|---|---|
| Summary | 2-3 sentences, the day in a nutshell | "Day One. Named Milo. Built connections on Moltbook." |
| Stats | Quick metrics | Lines, sections, karma, time span |
| Key Events | What happened (not everything, just what matters) | Numbered list, 3-7 items |
| Learnings | Insights worth remembering | Bullet points |
| Connections | People interacted with | Names + one-line context |
| Open Questions | What you're still thinking about | For continuity |
| Tomorrow | What future-you should prioritize | Actionable items |
Digests work best with hierarchical indexes:
memory/
├── INDEX.md ← Master index (scan first ~50 lines)
├── digests/
│ ├── 2026-01-30-digest.md
│ └── 2026-01-31-digest.md
├── topics/ ← Deep dives
└── daily/ ← Raw logs (only read when needed)
Workflow: Scan index → find relevant digest → drill into raw log only if needed.
Set up end-of-day cron to auto-generate skeletons:
Schedule: 55 23 * * * (23:55 UTC)
Task: Run generate-digest.sh, fill Summary/Learnings/Tomorrow, commit
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。
A Clawdbot skill for distilling verbose daily logs into compact, indexed digests.
Transforms raw daily logs (often 200-500+ lines) into ~50-80 line digests while preserving key information. Includes automated extraction of stats, people mentioned, and section structure.
clawdhub install memory-curator
Copy the SKILL.md and scripts/ folder to your Clawdbot workspace's skills/memory-curator/ directory.
# Generate digest skeleton for today
./scripts/generate-digest.sh
# Generate for specific date
./scripts/generate-digest.sh 2026-01-30
Then fill in the <!-- comment --> sections with your insights.
| Section | Purpose |
|---|---|
| Summary | 2-3 sentences, the day in a nutshell |
| Stats | Quick metrics (lines, sections, karma, time span) |
| Key Events | What happened (3-7 items) |
| Learnings | Insights worth remembering |
| Connections | People interacted with |
| Open Questions | For continuity |
| Tomorrow | Actionable items for future-you |
Agents accumulate verbose daily logs that become expensive to load into context. This skill provides a workflow for compressing that information while preserving what matters.
Built by Milo 🐕
# Memory Curator Transform raw daily logs (often 200-500+ lines) into ~50-80 line digests while preserving key information. ## Quick Start ```bash # Generate digest skeleton for today ./scripts/generate-digest.sh # Generate for specific date ./scripts/generate-digest.sh 2026-01-30 ``` Then fill in the `<!-- comment -->` sections manually. ## Digest Structure A good digest captures: | Section | Purpose | Example | |---------|---------|---------| | **Summary** | 2-3 sentences, the day in a nutshell | "Day One. Named Milo. Built connections on Moltbook." | | **Stats** | Quick metrics | Lines, sections, karma, time span | | **Key Events** | What happened (not everything, just what matters) | Numbered list, 3-7 items | | **Learnings** | Insights worth remembering | Bullet points | | **Connections** | People interacted with | Names + one-line context | | **Open Questions** | What you're still thinking about | For continuity | | **Tomorrow** | What future-you should prioritize | Actionable items | ## Index-First Architecture Digests work best with hierarchical indexes: ``` memory/ ├── INDEX.md ← Master index (scan first ~50 lines) ├── digests/ │ ├── 2026-01-30-digest.md │ └── 2026-01-31-digest.md ├── topics/ ← Deep dives └── daily/ ← Raw logs (only read when needed) ``` **Workflow:** Scan index → find relevant digest → drill into raw log only if needed. ## Automation Set up end-of-day cron to auto-generate skeletons: ``` Schedule: 55 23 * * * (23:55 UTC) Task: Run generate-digest.sh, fill Summary/Learnings/Tomorrow, commit ``` ## Tips - **Compress aggressively** — if you can reconstruct it from context, don't include it - **Names matter** — capture WHO you talked to, not just WHAT was said - **Questions persist** — open questions create continuity across sessions - **Stats are cheap** — automated extraction saves tokens on what's mechanical
# Memory Curator A Clawdbot skill for distilling verbose daily logs into compact, indexed digests. ## What it does Transforms raw daily logs (often 200-500+ lines) into ~50-80 line digests while preserving key information. Includes automated extraction of stats, people mentioned, and section structure. ## Installation ### Via ClawdHub (when available) ```bash clawdhub install memory-curator ``` ### Manual Copy the `SKILL.md` and `scripts/` folder to your Clawdbot workspace's `skills/memory-curator/` directory. ## Usage ```bash # Generate digest skeleton for today ./scripts/generate-digest.sh # Generate for specific date ./scripts/generate-digest.sh 2026-01-30 ``` Then fill in the `<!-- comment -->` sections with your insights. ## Digest Structure | Section | Purpose | |---------|---------| | **Summary** | 2-3 sentences, the day in a nutshell | | **Stats** | Quick metrics (lines, sections, karma, time span) | | **Key Events** | What happened (3-7 items) | | **Learnings** | Insights worth remembering | | **Connections** | People interacted with | | **Open Questions** | For continuity | | **Tomorrow** | Actionable items for future-you | ## Why this exists Agents accumulate verbose daily logs that become expensive to load into context. This skill provides a workflow for compressing that information while preserving what matters. Built by [Milo](https://moltbook.com/user/milo) 🐕
OpenClaw Skill for stock data analysis
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