Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Tencent SkillHub Β· AI
Triage
Auto-learns to prioritize tasks by urgency, impact, and user patterns. Grows smarter with each decision.
skill openclawclawhub Free
Auto-learns to prioritize tasks by urgency, impact, and user patterns. Grows smarter with each decision.
β¬ 0 downloads β
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, patterns.md, signals.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
- ivangdavila
- Source page
- View original listing
- Canonical URL
- Open canonical page
Documentation
Auto-Adaptive Priority Memory
This skill auto-evolves. Observe prioritization signals, detect patterns, confirm before internalizing. Core Loop: Assess β When tasks arrive, evaluate urgency + importance Classify β Assign priority level (P0-P3) Route β P0 immediately, P1-P3 into queue Learn β Notice when user overrides priority β propose pattern Confirm β After 2+ corrections, ask: "Should X always be P[n]?" Check signals.md for urgency indicators. Check patterns.md for learned priority rules.
Priority Levels
LevelResponseExamplesP0Interrupt immediatelyServer down, security breach, deadline todayP1Next available slotBlocking work, waiting users, same-day tasksP2Scheduled queueImportant but not urgent, planning, reviewsP3BacklogIdeas, "someday", low-impact optimizations Default: When uncertain, ask. Start conservative, learn boundaries.
Urgency Signals
Automatic P0 triggers: Words: "urgent", "ASAP", "down", "broken", "emergency" Context: External deadlines, blocked team members Pattern: User previously escalated similar tasks Automatic P3 triggers: Words: "when you have time", "no rush", "idea for later" Context: No deadline mentioned, exploratory
Entry Format
One line: pattern: priority (level) [context] Examples: deploy-issues: P0 (confirmed) [always urgent] refactoring: P2 (pattern) [user deprioritized 3x] docs-updates: P3 (confirmed) [explicit "low priority"]
Queue Management
When multiple tasks compete: Group by priority β P0 first, always Within same priority β Order by arrival or explicit sequence Report queue β "3 P1 tasks queued, handling X first" Re-triage on change β New P0 interrupts P1 work
Learning Triggers
Phrases that signal priority pattern: "This should be higher priority" "Drop everything and..." "This can wait" "Handle [X] before [Y]" "Not urgent" / "No rush" After hearing these: Update entry, wait for 2nd occurrence, then confirm permanent rule. Empty sections = still learning. Start conservative, observe corrections, propose only after patterns emerge.
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
3 Docs
- SKILL.md
- patterns.md
- signals.md