Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Tencent SkillHub Β· AI
Agent Lifecycle
Manage the lifecycle of autonomous agents and their skills. Version configurations, plan upgrades, track retirement, and maintain change history across agent...
skill openclawclawhub Free
Manage the lifecycle of autonomous agents and their skills. Version configurations, plan upgrades, track retirement, and maintain change history across agent...
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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, scripts/lifecycle.py
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
- Trypto1019
- Source page
- View original listing
- Canonical URL
- Open canonical page
Documentation
Agent Lifecycle Manager
Track your agent's evolution from deployment to retirement. Version configurations, plan skill upgrades, and maintain a complete change history.
Why This Exists
Agents evolve constantly β new skills installed, old ones retired, configurations changed, models swapped. Without lifecycle tracking, you cannot answer: "What was my agent running last Tuesday?" or "What changed when things broke?"
Snapshot current agent state
python3 {baseDir}/scripts/lifecycle.py snapshot --name "pre-upgrade"
Compare two snapshots
python3 {baseDir}/scripts/lifecycle.py diff --from "pre-upgrade" --to "post-upgrade"
List all snapshots
python3 {baseDir}/scripts/lifecycle.py list
Rollback to a snapshot
python3 {baseDir}/scripts/lifecycle.py rollback --to "pre-upgrade" --dry-run
Track a skill retirement
python3 {baseDir}/scripts/lifecycle.py retire --skill old-skill --reason "Replaced by new-skill v2"
View change history
python3 {baseDir}/scripts/lifecycle.py history --limit 20
What It Tracks
Installed skills: Name, version, install date, last used Configuration state: Environment vars, model assignments, feature flags Change events: Installs, updates, removals, config changes Retirement log: Why skills were removed, what replaced them Snapshots: Point-in-time captures of full agent state
Data Storage
Lifecycle data is stored in ~/.openclaw/lifecycle/ as JSON files.
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 Docs1 Scripts
- SKILL.md
- scripts/lifecycle.py