# Send Memory Tiering to your agent
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
## Fast path
- Download the package from Yavira.
- Extract it into a folder your agent can access.
- Paste one of the prompts below and point your agent at the extracted folder.
## Suggested prompts
### New install

```text
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete.
```
### Upgrade existing

```text
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run.
```
## Machine-readable fields
```json
{
  "schemaVersion": "1.0",
  "item": {
    "slug": "memory-tiering",
    "name": "Memory Tiering",
    "source": "tencent",
    "type": "skill",
    "category": "AI 智能",
    "sourceUrl": "https://clawhub.ai/SarielWang93/memory-tiering",
    "canonicalUrl": "https://clawhub.ai/SarielWang93/memory-tiering",
    "targetPlatform": "OpenClaw"
  },
  "install": {
    "downloadUrl": "/downloads/memory-tiering",
    "sourceDownloadUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=memory-tiering",
    "sourcePlatform": "tencent",
    "targetPlatform": "OpenClaw",
    "packageFormat": "ZIP package",
    "primaryDoc": "SKILL.md",
    "includedAssets": [
      "SKILL.md"
    ],
    "downloadMode": "redirect",
    "sourceHealth": {
      "source": "tencent",
      "status": "healthy",
      "reason": "direct_download_ok",
      "recommendedAction": "download",
      "checkedAt": "2026-04-30T16:55:25.780Z",
      "expiresAt": "2026-05-07T16:55:25.780Z",
      "httpStatus": 200,
      "finalUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=network",
      "contentType": "application/zip",
      "probeMethod": "head",
      "details": {
        "probeUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=network",
        "contentDisposition": "attachment; filename=\"network-1.0.0.zip\"",
        "redirectLocation": null,
        "bodySnippet": null
      },
      "scope": "source",
      "summary": "Source download looks usable.",
      "detail": "Yavira can redirect you to the upstream package for this source.",
      "primaryActionLabel": "Download for OpenClaw",
      "primaryActionHref": "/downloads/memory-tiering"
    },
    "validation": {
      "installChecklist": [
        "Use the Yavira download entry.",
        "Review SKILL.md after the package is downloaded.",
        "Confirm the extracted package contains the expected setup assets."
      ],
      "postInstallChecks": [
        "Confirm the extracted package includes the expected docs or setup files.",
        "Validate the skill or prompts are available in your target agent workspace.",
        "Capture any manual follow-up steps the agent could not complete."
      ]
    }
  },
  "links": {
    "detailUrl": "https://openagent3.xyz/skills/memory-tiering",
    "downloadUrl": "https://openagent3.xyz/downloads/memory-tiering",
    "agentUrl": "https://openagent3.xyz/skills/memory-tiering/agent",
    "manifestUrl": "https://openagent3.xyz/skills/memory-tiering/agent.json",
    "briefUrl": "https://openagent3.xyz/skills/memory-tiering/agent.md"
  }
}
```
## Documentation

### Memory Tiering Skill 🧠⚖️

This skill implements a dynamic, three-tiered memory architecture to optimize context usage and retrieval efficiency.

### The Three Tiers

🔥 HOT (memory/hot/HOT_MEMORY.md):

Focus: Current session context, active tasks, temporary credentials, immediate goals.
Management: Updated frequently. Pruned aggressively once tasks are completed.


🌡️ WARM (memory/warm/WARM_MEMORY.md):

Focus: User preferences (Hui's style, timezone), core system inventory, stable configurations, recurring interests.
Management: Updated when preferences change or new stable tools are added.


❄️ COLD (MEMORY.md):

Focus: Long-term archive, historical decisions, project milestones, distilled lessons.
Management: Updated during archival phases. Detail is replaced by summaries.

### Workflow: Organize-Memory

Whenever a memory reorganization is triggered (manual or post-compaction), follow these steps:

### Step 1: Ingest & Audit

Read all three tiers and recent daily logs (memory/YYYY-MM-DD.md).
Identify "Dead Context" (completed tasks, resolved bugs).

### Step 2: Tier Redistribution

Move to HOT: Anything requiring immediate attention in the next 2-3 turns.
Move to WARM: New facts about the user or system that are permanent.
Move to COLD: Completed high-level project summaries.

### Step 3: Pruning & Summarization

Remove granular details from COLD.
Ensure credentials in HOT point to their root files rather than storing raw secrets (if possible).

### Step 4: Verification

Ensure no critical information was lost during the move.
Verify that HOT is now small enough for efficient context use.

### Usage Trigger

Trigger manually with: "Run memory tiering" or "整理记忆层级".
Trigger automatically after any /compact command.
## Trust
- Source: tencent
- Verification: Indexed source record
- Publisher: SarielWang93
- Version: 1.0.0
## Source health
- Status: healthy
- Source download looks usable.
- Yavira can redirect you to the upstream package for this source.
- Health scope: source
- Reason: direct_download_ok
- Checked at: 2026-04-30T16:55:25.780Z
- Expires at: 2026-05-07T16:55:25.780Z
- Recommended action: Download for OpenClaw
## Links
- [Detail page](https://openagent3.xyz/skills/memory-tiering)
- [Send to Agent page](https://openagent3.xyz/skills/memory-tiering/agent)
- [JSON manifest](https://openagent3.xyz/skills/memory-tiering/agent.json)
- [Markdown brief](https://openagent3.xyz/skills/memory-tiering/agent.md)
- [Download page](https://openagent3.xyz/downloads/memory-tiering)