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OpenClaw

memory-curator

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.

77darius770 installations selon la source☆ 0 Étoiles du dépôt

Installation

Suivez les instructions du dépôt pour votre agent. Consultez les fichiers et dépendances avant l’installation.

SkillHub CLI

skillhub install 77darius77/memory-curator

Examinez la source et la compatibilité, puis suivez les étapes d’installation.

Donnez le lien à votre agent et demandez-lui d’examiner instructions et dépendances avant d’expliquer les étapes.

Voir la source ↗Guides

Instructions

Memory Curator

Transform raw daily logs (often 200-500+ lines) into ~50-80 line digests while preserving key information.

Quick Start

# 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

Informations sur la source

Source
github
Repository
openclaw/skills
Path
skills/77darius77/memory-curator
Version
—
Commit
2aa691626a1c1881673383cc2f79ff794e9b3e99
Source de classification
rules
Statut
active
Visibilité
public

Ces informations proviennent de l’analyse indexée et peuvent être anciennes. Vérifiez les fichiers actuels.

README

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)
clawdhub install memory-curator
Manual

Copy the SKILL.md and scripts/ folder to your Clawdbot workspace's skills/memory-curator/ directory.

Usage

# 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 🐕

Contenu extrait

SKILL.md
# 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
README
# 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) 🐕

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