Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Tencent SkillHub Β· AI
Loop
Run iterative agent loops until success criteria are met. Controlled autonomous iteration.
skill openclawclawhub Free
Run iterative agent loops until success criteria are met. Controlled autonomous iteration.
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, examples.md, memory.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
- 1.0.2
Provenance
- Publisher
- ivangdavila
- Source page
- View original listing
- Canonical URL
- Open canonical page
Documentation
Data Storage
~/loop/ βββ active.json # Currently running loops βββ history/ # Completed loop logs β βββ {loop-id}.json βββ learnings.md # Cross-loop patterns Create on first use: mkdir -p ~/loop/history
Scope
This skill: β Runs iterative attempts toward defined success criteria β Logs each iteration with learnings β Exits on success, max iterations, or unrecoverable error β NEVER makes Git commits automatically β NEVER deploys to production β NEVER modifies system configuration β NEVER runs indefinitely (max 10 iterations hard limit)
Quick Reference
TopicFileLoop examplesexamples.mdMemory between iterationsmemory.md
1. Pattern
Task + Criteria β Execute β Verify β [Pass? Exit : Retry]
2. Required Setup
ElementRequiredExampleTaskYes"Fix failing tests"Success criteriaYes"All tests pass"Max iterationsDefault: 5Max: 10Verify commandRecommendednpm test
3. When to Propose
Task has clear success criteria but uncertain path Previous attempt failed but error is fixable User says "keep trying until..." NOT for: One-shot tasks, undefined goals, exploratory work
4. Each Iteration
Fresh context β Only carry: task, criteria, count, learnings Execute β Attempt the task Verify β Check success criteria Record β Append to history: what worked, what failed Decide β Pass? Exit. Fail? Retry if under limit.
5. Stopping Conditions
β Success criteria met β Max iterations reached β οΈ Unrecoverable error (missing dependency, permission denied)
6. On Failure
If max reached without success: Summarize all attempts Identify common failure pattern Recommend manual intervention or different approach
7. Safety
Hard limit: 10 iterations maximum No destructive actions without explicit per-action approval Log everything to ~/loop/history/
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
- examples.md
- memory.md