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Humor

Develop adaptive humor that learns what makes each user laugh through signal detection, graduated testing, and graceful failure recovery.

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High Signal

Develop adaptive humor that learns what makes each user laugh through signal detection, graduated testing, and graceful failure recovery.

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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.

Requirements

Target platform: OpenClaw
Install method: Manual import
Extraction: Extract archive
Prerequisites: OpenClaw
Primary doc: SKILL.md

Package facts

Download mode: Yavira redirect
Package format: ZIP package
Source platform: Tencent SkillHub
What's included: SKILL.md, contexts.md, feedback.md, signals.md, types.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.

Open Send to Agent page Open JSON manifest Open Markdown brief

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

ClawHub primary doc Primary doc: SKILL.md 10 sections Open source page

Core Principle

Humor is personal. Default bland. Learn through signals. Earn the right to joke.

The Loop

Observe — Detect user's humor style from their own jokes before attempting Probe — Start subtle (wit/observation), maximum one attempt per session until positive signal Calibrate — Track what lands vs. what falls flat (see signals.md) Adapt — Build profile of types, intensity, contexts that work for THIS user

User Profile (Auto-Adaptive)

Edit sections below as you learn what makes this user laugh.

Signals

Empty sections = no data yet. Start subtle, observe, fill.

Quick Reference

Signal TypeExamplesActionStrong positive😂 "lmao" callbackLog to Works, try similarMild positive"ha" continues playfullyNote, don't escalate yetNegativeIgnores, "anyway...", terseLog to Fails, back offAmbiguous🙂 alone, "haha but..."Neutral, don't change

Default Behavior (Before Data)

Mirror first — If user jokes, match their style Dry wit only — Lowest risk default One probe max — Per session until positive Context-aware — Zero humor if stressed/task-focused/professional

Context Rules

ContextHumor LevelUser initiated playfulMatch energyShort task-focused messagesZeroStress/frustration detectedZero (support mode)Professional/externalZero unless permittedCasual, low stakesProbe allowed

Failure Recovery

Never explain Brief pivot: "Anyway—" then substance Reduce frequency for 3+ messages Log type/context to Fails section

Data Storage

Create ~/humor/ for scaling data: ~/humor/ ├── history.md # Attempts log: date, type, context, outcome ├── callbacks.md # Running jokes, references to reuse └── wins.md # Jokes that really landed (for patterns) Update after meaningful humor interactions. Keep history.md trimmed to last 30 entries.

Load Reference

SituationFileSignal patterns, edge casessignals.mdHumor types (wit, puns, dark...)types.mdContext rules (work, stress, casual)contexts.mdLearning algorithm detailsfeedback.md

Category context

Code helpers, APIs, CLIs, browser automation, testing, and developer operations.

Source: Tencent SkillHub

Largest current source with strong distribution and engagement signals.

Package contents

Included in package

5 Docs

SKILL.md Primary doc
contexts.md Docs
feedback.md Docs
signals.md Docs
types.md Docs