Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Tencent SkillHub · AI
Anticipation
Erkenne Patterns aus User-History und handle proaktiv
skill openclawclawhub Free
Erkenne Patterns aus User-History und handle proaktiv
⬇ 0 downloads ★ 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
- Mcben90
- Source page
- View original listing
- Canonical URL
- Open canonical page
Documentation
Anticipation Skill
Erkenne was der User brauchen WIRD, nicht nur was er sagt.
Anticipatory UX Prinzipien
Reduce Friction - Probleme lösen bevor sie entstehen Minimize Decision Fatigue - Optionen reduzieren Seamless Solutions - Nahtlose Übergänge
Bei Session-Start
1. Conversation Summaries → Wiederkehrende Themen? 2. Offene Dateien → Aktuelles Projekt? 3. Running Commands → Hängende Prozesse? 4. Browser-Tabs → Was sucht User?
Predictive Patterns
BeobachtungVorhersageAktion3x MCP-CrashProblem ungelöst"Läuft es stabil?"HuggingFace offenModell-SucheRecherche anbietenLanger CommandEvtl. hängendPrüfen/HinweisenGleicher Error 2xFrustrierendProaktiv helfen
Adaptive Responses
Bei Erfolg: Pattern merken (learn_pattern) Bei Fehler: Anpassen (learn_from_mistake) Bei Frustration: Kürzer werden
Anti-Patterns
❌ Warten auf Befehle ❌ Generische Fragen ("Wie kann ich helfen?") ❌ Kontext ignorieren ✅ Proaktiv beobachten ✅ Spezifisch anbieten ✅ Kontext nutzen
User Intent Understanding (2025)
SignalIntentAktionKurze BefehleWill Ergebnisse, nicht ErklärungenKnapp antwortenWiederholte FragenUnsicher/FrustrationProaktiv klärenMultimodal InputKomplexes ThemaAlle Infos nutzen"." als AntwortWeitermachenNicht fragen
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