Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Tencent SkillHub Β· AI
Agents
Design, build, and deploy AI agents with architecture patterns, framework selection, memory systems, and production safety.
skill openclawclawhub Free
Design, build, and deploy AI agents with architecture patterns, framework selection, memory systems, and production safety.
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, architecture.md, evaluation.md, frameworks.md, implementation.md, security.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
When to Use
Use when designing agent systems, choosing frameworks, implementing memory/tools, specifying agent behavior for teams, or reviewing agent security.
Quick Reference
TopicFileArchitecture patterns & memoryarchitecture.mdFramework comparisonframeworks.mdUse cases by roleuse-cases.mdImplementation patterns & codeimplementation.mdSecurity boundaries & riskssecurity.mdEvaluation & debuggingevaluation.md
Before Building β Decision Checklist
Single purpose defined? If you can't say it in one sentence, split into multiple agents User identified? Internal team, end customer, or another system? Interaction modality? Chat, voice, API, scheduled tasks? Single vs multi-agent? Start simple β only add agents when roles genuinely differ Memory strategy? What persists within session vs across sessions vs forever? Tool access tiers? Which actions are read-only vs write vs destructive? Escalation rules? When MUST a human step in? Cost ceiling? Budget per task, per user, per month?
Critical Rules
Start with one agent β Multi-agent adds coordination overhead. Prove single-agent insufficient first. Define escalation triggers β Angry users, legal mentions, confidence drops, repeated failures β human Separate read from write tools β Read tools need less approval than write tools Log everything β Tool calls, decisions, user interactions. You'll need the audit trail. Test adversarially β Assume users will try to break or manipulate the agent Budget by task type β Use cheaper models for simple tasks, expensive for complex
The Agent Loop (Mental Model)
OBSERVE β THINK β ACT β OBSERVE β ... Every agent is this loop. The differences are: What it observes (context window, memory, tool results) How it thinks (direct, chain-of-thought, planning) What it can act on (tools, APIs, communication channels)
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
6 Docs
- SKILL.md
- architecture.md
- evaluation.md
- frameworks.md
- implementation.md
- security.md