Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Tencent SkillHub ยท AI
Memory Tiering
Automated multi-tiered memory management (HOT, WARM, COLD). Use this skill to organize, prune, and archive context during memory operations or compactions.
skill openclawclawhub Free
Automated multi-tiered memory management (HOT, WARM, COLD). Use this skill to organize, prune, and archive context during memory operations or compactions.
โฌ 0 downloads โ
0 stars Unverified but indexed
Install for OpenClaw
Quick setup
- Download the package from Yavira.
- Extract the archive and review SKILL.md first.
- Import or place the package into your OpenClaw setup.
Package facts
- Download mode
- Yavira redirect
- Package format
- ZIP package
- Source platform
- Tencent SkillHub
- What's included
- SKILL.md
Validation
- Use the Yavira download entry.
- Review SKILL.md after the package is downloaded.
- Confirm the extracted package contains the expected setup assets.
Install with your agent
Agent handoff
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
- 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.
New install
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
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.
Trust & source
Release facts
- Source
- Tencent SkillHub
- Verification
- Indexed source record
- Version
- 1.0.0
Provenance
- Publisher
- SarielWang93
- Source page
- View original listing
- Canonical URL
- Open canonical page
Documentation
Memory Tiering Skill ๐ง โ๏ธ
This skill implements a dynamic, three-tiered memory architecture to optimize context usage and retrieval efficiency.
The Three Tiers
๐ฅ 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. ๐ก๏ธ 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. โ๏ธ 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 "ๆด็่ฎฐๅฟๅฑ็บง". Trigger automatically after any /compact command.
Category context
Agent frameworks, memory systems, reasoning layers, and model-native orchestration.
Source: Tencent SkillHub
Largest current source with strong distribution and engagement signals.
Package contents
Included in package
1 Docs
- SKILL.md