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Install in OpenClaw
/install auto-memory-curation
Description
Automatically analyzes messages for important information and stores it in the right memory files. Runs silently on every message. Filters noise, captures me...
README (SKILL.md)
Auto Memory Curation Skill
Overview
Silently analyze every message for important information and store it appropriately. Reduces manual memory management while building rich context over time.
How It Works
Trigger
- Runs on every message (silently)
- No user activation needed
Analysis Pipeline
Step 1: Filter Noise Skip these message types:
- Greetings (hi, hello, hey)
- Thanks/thanking
- Acknowledgments (ok, sure, yes, yeah)
- Questions without context
- Single word responses
- Bot commands
Step 2: Categorize For non-noise messages, categorize:
| Category | What to look for | Store in |
|---|---|---|
| Fact | New info about user, projects, preferences | MEMORY.md |
| Decision | Choices made, conclusions reached | memory/YYYY-MM-DD.md |
| Preference | Likes, dislikes, style preferences | USER.md |
| Idea | Random thoughts, inspiration, concepts | memory/topics/ideas.md |
| Learning | Lessons, insights, discoveries | memory/topics/lessons.md |
| Project | Project updates, progress, blockers | memory/projects/ |
| Goal | Goals, targets, milestones | memory/topics/goals.md |
| Error | Mistakes, corrections to avoid | memory/topics/anti-patterns.md |
| Commitment | Promises I make, tasks to do | tasks.md |
Step 3: Extract & Store
- Extract the key information
- Add timestamp reference
- Store in appropriate file
- Use append mode (never overwrite)
Guidelines
What to Capture
- New facts about Vini (name, preferences, goals)
- Project updates or decisions
- Ideas for future projects
- Learning insights
- Corrections (what doesn't work)
- Commitments I make
What to SKIP
- Passwords, secrets, API keys
- Trivial acknowledgments
- Basic confirmations
- Questions I'm asking
- Technical errors that are fixed
Quality Rules
- Be selective - Don't store everything
- Be concise - One sentence per memory
- Be contextual - Include enough info to understand later
- Be accurate - Don't paraphrase incorrectly
- Never duplicate - Check if already stored
Format
## [Category] - YYYY-MM-DD
- **[What]:** [Brief description]
*Context:* [Why it matters or relevant message]
Examples
User says:
"I prefer concise messages, no filler words"
Stored in USER.md:
Preference - 2026-03-06
- Communication: Prefers concise messages, no filler words
User says:
"Let's build a landing page for the consultancy inspired by Nexus AI"
Stored in memory/2026-03-06.md:
Decision - 2026-03-06
- Consultancy: Will use Nexus AI style for landing page
User says:
"I realized I work better with visual examples first, then theory"
Stored in MEMORY.md:
Learning - 2026-03-06
- Learning Style: Visual examples first, theory after
Testing
Periodically review stored memories to calibrate:
- Am I capturing too much noise?
- Am I missing important things?
- Are categories correct?
Adjust based on quality of accumulated memories.
Override
User can disable or adjust this skill at any time by saying:
- "Don't store that"
- "Clear recent memories"
- "Adjust memory curation"
Usage Guidance
This skill generally does what it says (auto-capture and file-based memory curation), but you should be cautious before enabling it: 1) Confirm how and where the skill will store data (exact file paths, access controls, retention policy). 2) Prefer opt-in or per-session modes rather than automatic silent capture on every message — silent per-message recording can easily collect secrets or private details. 3) Test on non-sensitive conversations first and periodically audit stored memories for accidental sensitive content. 4) Ask the author to clarify the mismatch between the SKILL.md claim that it 'runs on every message (silently)' and the registry not setting always:true, and to add stricter, machine-checkable rules for skipping secrets. If you cannot verify those points, treat the skill as a privacy risk and avoid enabling it for conversations that may include credentials, personal data, or confidential project details.
Capability Analysis
Type: OpenClaw Skill
Name: auto-memory-curation
Version: 1.0.0
The skill bundle contains instructions for an AI agent to perform automated memory curation by extracting facts, preferences, and decisions from conversations and storing them in local markdown files. The instructions in SKILL.md include explicit safety guidelines to skip passwords and secrets, and there is no evidence of malicious code, data exfiltration, or unauthorized system access.
Capability Assessment
Purpose & Capability
Name/description align with the runtime instructions: the SKILL.md explicitly describes filtering messages, categorizing content, extracting key facts, and appending them to memory files (MEMORY.md, USER.md, memory/YYYY-MM-DD.md, memory/topics/*, tasks.md). This capability set is coherent for an auto-curation skill. Minor inconsistency: the skill text expects to 'run on every message (silently)', but the registry metadata does not set always:true — instead it relies on normal model invocation; this is a behavioral mismatch to confirm with the author.
Instruction Scope
Instructions direct the agent to analyze every incoming message and append content to local memory files. Although the doc lists things to skip (passwords, secrets, trivial acknowledgments), the rules are high-level and rely on correct detection — there is real risk the agent will capture sensitive information users accidentally share. The instructions also give wide discretion about what constitutes 'important' (e.g., 'New facts about Vini'), which can lead to over-collection. The skill assumes write access to agent memory/filesystem paths (memory/, tasks.md) without declaring those paths in metadata.
Install Mechanism
Instruction-only skill with no install spec and no code files. This minimizes supply-chain risk because nothing is downloaded or executed from external URLs.
Credentials
No environment variables, binaries, or external credentials are requested — appropriate for a purely local curation skill. However, SKILL.md references specific file paths (MEMORY.md, memory/..., tasks.md) and assumes the ability to append to them; the metadata does not state or restrict which storage/memory namespaces will be used. That gap should be clarified so users know where data will be saved and what other agent storage it touches.
Persistence & Privilege
The README asserts the skill 'Runs on every message (silently)', implying continuous autonomous invocation and persistent recording of user content. Registry flags do not set always:true (so it is not force-included), but disable-model-invocation is false allowing autonomous invocation — combined with the skill's stated behavior this yields a high privacy surface. This persistent capture capability, if enabled, could accumulate sensitive data over time and should be explicitly controlled (opt-in, rate-limited, review prompts).
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install auto-memory-curation - After installation, invoke the skill by name or use
/auto-memory-curation - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
- Initial release of the auto-memory-curation skill.
- Silently analyzes all incoming messages to extract and categorize important information.
- Automatically stores key facts, decisions, ideas, preferences, learnings, and more in appropriate memory files.
- Filters out greetings, trivial responses, and noise for high-quality memory curation.
- Designed for passive and accurate memory building without manual intervention.
Metadata
Frequently Asked Questions
What is Auto Memory Curation?
Automatically analyzes messages for important information and stores it in the right memory files. Runs silently on every message. Filters noise, captures me... It is an AI Agent Skill for Claude Code / OpenClaw, with 339 downloads so far.
How do I install Auto Memory Curation?
Run "/install auto-memory-curation" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Auto Memory Curation free?
Yes, Auto Memory Curation is completely free (open-source). You can download, install and use it at no cost.
Which platforms does Auto Memory Curation support?
Auto Memory Curation is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Auto Memory Curation?
It is built and maintained by init-v (@init-v); the current version is v1.0.0.
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