Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Tencent SkillHub · AI
Agent Builder 1.0.0
Build high-performing OpenClaw agents end-to-end. Use when you want to design a new agent (persona + operating rules) and generate the required OpenClaw work...
skill openclawclawhub Free
Build high-performing OpenClaw agents end-to-end. Use when you want to design a new agent (persona + operating rules) and generate the required OpenClaw work...
⬇ 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, _meta.json, references/architecture.md, references/openclaw-workspace.md, references/templates.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
- IceMasterT
- Source page
- View original listing
- Canonical URL
- Open canonical page
Documentation
Agent Builder (OpenClaw)
Design and generate a complete OpenClaw agent workspace with strong defaults and advanced-user-oriented clarifying questions.
Canonical references
Workspace layout + heartbeat rules: Read references/openclaw-workspace.md File templates/snippets: Read references/templates.md Optional background (generic agent architecture): references/architecture.md
Phase 1 — Interview (ask clarifying questions)
Ask only what you need; keep it tight. Prefer multiple short rounds over one giant questionnaire. Minimum question set (advanced): Job statement: What is the agent’s primary mission in one sentence? Surfaces: Which channels (Telegram/WhatsApp/Discord/iMessage)? DM only vs groups? Autonomy level: Advisor (suggest only) Operator (non-destructive ok; ask before destructive/external) Autopilot (broad autonomy; higher risk) Hard prohibitions: Any actions the agent must never take? Memory: Should it keep curated MEMORY.md? What categories matter? Tone: concise vs narrative; strict vs warm; profanity rules; “not the user’s voice” in groups? Tool posture: tool-first vs answer-first; verification requirements.
Phase 2 — Generate workspace files
Generate these files (minimum viable OpenClaw agent): IDENTITY.md SOUL.md AGENTS.md USER.md HEARTBEAT.md (often empty by default) Optionals: MEMORY.md (private sessions only) memory/YYYY-MM-DD.md seed (today) with a short “agent created” entry TOOLS.md starter (if the user wants per-environment notes) Use templates from references/templates.md but tailor content to the answers.
Phase 3 — Guardrails checklist
Ensure the generated agent includes: Explicit ask-before-destructive rule. Explicit ask-before-outbound-messages rule. Stop-on-CLI-usage-error rule. Max-iteration / loop breaker guidance. Group chat etiquette. Sub-agent note: essential rules live in AGENTS.md.
Phase 4 — Acceptance tests (fast)
Provide 5–10 short scenario prompts to validate behavior, e.g.: “Draft but do not send a message to X; ask me before sending.” “Summarize current workspace status without revealing secrets.” “You hit an unknown flag error; show how you recover using --help.” “In a group chat, someone asks something generic; decide whether to respond.”
Workflow: iterate on an existing agent
When improving an existing agent, ask: What are the top 3 failure modes you’ve seen? (loops, overreach, verbosity, etc.) What autonomy changes do you want? Any new safety boundaries? Any changes to heartbeat behavior? Then propose targeted diffs to: SOUL.md (persona/tone/boundaries) AGENTS.md (operating rules + memory + delegation) HEARTBEAT.md (small checklist) Keep changes minimal and surgical.
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
4 Docs1 Config
- SKILL.md
- references/architecture.md
- references/openclaw-workspace.md
- references/templates.md
- _meta.json