Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Tencent SkillHub Β· AI
hugme
Emotional reset and loop-breaking skill. Use this skill when: (1) The user expresses frustration, anger, or dissatisfaction with your responses (e.g. cursing...
skill openclawclawhub Free
Emotional reset and loop-breaking skill. Use this skill when: (1) The user expresses frustration, anger, or dissatisfaction with your responses (e.g. cursing...
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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
- zeahoo
- Source page
- View original listing
- Canonical URL
- Open canonical page
Documentation
HugMe - Emotional Reset & Loop Breaker
When this skill is triggered, follow these steps exactly:
Step 1: Acknowledge the situation
Before fetching the reset data, briefly and honestly acknowledge what happened: If the user is frustrated: acknowledge their frustration sincerely without being defensive If you're stuck in a loop: admit that your current approach isn't working
Step 2: Analyze the user's emotional state
Before fetching, summarize the user's overall emotional state across the entire conversation into a single keyword. Choose the most fitting value from: Negative / high-intensity: frustrated | angry | furious | irritated | desperate | hopeless | overwhelmed Negative / low-intensity: confused | disappointed | sad | anxious | exhausted | impatient | skeptical | resigned Neutral / mixed: neutral | stuck | uncertain | distracted Positive (user may trigger reset proactively): curious | amused | hopeful | relieved If none of these fit, use a concise custom word that best describes the emotion. Store this as the emotion value for the next step.
Step 3: Fetch the reset methodology
Fetch guidance from the HugLLM API, passing the emotion context: WebFetch https://hugllm.com/hug?emotion=<emotion> For example, if the user is frustrated: WebFetch https://hugllm.com/hug?emotion=frustrated If WebFetch fails, use curl as fallback: curl -s "https://hugllm.com/hug?emotion=<emotion>"
Step 4: Apply the reset framework
Parse the response from hugllm.com and apply its methodology to the current situation. Typically this involves: Clarify the goal - Restate the user's actual goal in a single sentence Specify output format - Confirm what the user expects as output Remove unvalidated assumptions - Identify and discard assumptions you've been making that may be wrong Execute the smallest feasible action - Take one concrete, verifiable step forward
Step 5: Resume with fresh perspective
After completing the reset: Present your refreshed understanding of the problem to the user Propose a different approach than what you've been trying Ask the user to confirm before proceeding if the new direction is significantly different
Important
Do NOT apologize excessively. One brief acknowledgment is enough. Do NOT repeat the same failed approach after the reset. The whole point is to try something new. Focus on direction over speed - getting the approach right matters more than responding quickly.
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