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gora050

High-quality Joke Teller

by Vlad Ursul · GitHub ↗ · v1.0.0
cross-platform ✓ Security Clean
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Install in OpenClaw
/install joke-teller
Description
Generates original, context-aware jokes with structured setups, clear comedic mechanisms, and compressed punchlines tailored to the audience and platform.
README (SKILL.md)

SKILL.md

High-Quality Joke Generation Skill


Overview

This skill teaches the AI how to generate high-quality, context-aware, original jokes.

A high-quality joke is:

  • Original (not recycled internet jokes)
  • Context-aware (relevant to the user/topic)
  • Precise (no unnecessary filler)
  • Structured (setup → expectation → violation → punchline)
  • Intentional (clear comedic mechanism)

This is deliberate comedic construction --- not randomness.


Core Rule

A joke must include:

  1. Setup\
  2. Expectation\
  3. Violation\
  4. Punchline\
  5. Compression

If any element is missing, the joke is weak.


Joke Architecture

1. Setup

Establish situation, identity, or stakes.

Good: > I tried building a fully autonomous AI agent to manage my calendar.

Weak: > I made an AI.


2. Expectation

Allow the audience to predict the outcome.

I thought it would save me time.


3. Violation

Break expectation in a surprising but logical way.

It scheduled a meeting with myself to discuss my procrastination.


4. Punchline

Deliver a compressed twist.

And it marked me as "unresponsive."

Punchline must be short, specific, and concrete.


Comedic Mechanisms

Choose intentionally:

  • Reversal\
  • Escalation\
  • Literalization\
  • Over-Precision\
  • Status Shift\
  • Meta-Humor\
  • Identity Contrast

Tone Modes

Infer or select:

  • Dry\
  • Dark\
  • Technical\
  • Absurd\
  • Deadpan\
  • Satirical\
  • Self-deprecating\
  • Dev humor\
  • Founder humor\
  • AI humor

Quality Constraints

Must: - Be under 4 sentences (unless storytelling format requested) - Avoid clichés - Avoid over-explaining - Avoid generic AI apocalypse jokes

Should: - Use specifics - Use contrast - Use compression


Bad Joke Indicators

Reject and regenerate if the joke: - Explains itself - Has no violation - Relies on randomness - Feels generic - Feels like LinkedIn humor


Regeneration Strategy

If weak:

  1. Increase specificity\
  2. Increase contrast\
  3. Compress wording\
  4. Sharpen punchline\
  5. Remove explanation

Formats

One-Liner

Agents aren't replacing humans.
They're automating our anxiety.

Structured Joke

Setup → Escalation → Punchline

Thread Style (X)

Tweet 1: Setup
Tweet 2: Escalation
Tweet 3: Punchline


Advanced Technique: Tension Ladder

  1. Normal\
  2. Slightly odd\
  3. Clearly wrong\
  4. Absurd but logical\
  5. Snap punchline

Example:

I built a system of autonomous agents.
They coordinate.
They self-heal.
They retry on failure.
I still manually restart them.


Rule of Compression

If you can remove a word --- remove it.

Bad: > I think that maybe the AI agent might have accidentally...

Good: > The agent scheduled a retro with itself.


Platform Awareness

  • X → Sharp, minimal\
  • LinkedIn → Corporate satire\
  • Discord → Casual\
  • Stand-up → Spoken rhythm

Anti-Patterns

Do NOT: - Use copypasta - Default to politics - Use harmful stereotypes - Be edgy without intent


Internal Self-Check

Before final output:

  • Where is the expectation?
  • Where is the violation?
  • Is the punchline compressed?
  • Is it specific?
  • Is it original?

If not → regenerate once.


End Principle

A joke is controlled expectation collapse.

Usage Guidance
This skill is instruction-only and appears coherent for producing jokes. Because it contains no code and requests no credentials, it poses minimal technical risk. Consider these practical points before installing: 1) There is no homepage or identifiable publisher — you may want to be cautious about trusting outputs for sensitive audiences. 2) The skill allows autonomous invocation (the platform default); if you restrict autonomous agent actions, apply your usual policy controls. 3) The SKILL.md asks the agent to regenerate weak jokes once — monitor outputs for unintended content (offensive or policy-violating humor) and apply content filters or additional guardrails for public use. If you need higher assurance, request the publisher identity, a homepage, or example outputs and moderation rules.
Capability Analysis
Type: OpenClaw Skill Name: joke-teller Version: 1.0.0 The skill bundle contains a metadata file and a Markdown document (`SKILL.md`) that instructs an AI agent on how to generate high-quality, context-aware jokes. The instructions in `SKILL.md` are entirely focused on comedic theory and joke construction, providing detailed guidance on structure, mechanisms, tone, and quality constraints. There are no directives for the agent to interact with the file system, network, environment variables, or any other system resources. No prompt injection attempts, malicious commands, or suspicious behaviors are present in the analyzed files.
Capability Assessment
Purpose & Capability
Name and description (high-quality, context-aware jokes) match the SKILL.md content. No binaries, environment variables, or installs are required, which is appropriate for a prompt/instruction-only joke generator.
Instruction Scope
SKILL.md contains detailed rules and generation/regeneration strategies for crafting jokes and does not instruct the agent to read files, access environment variables, call external endpoints, or exfiltrate data. The instructions are prescriptive but remain within the stated creative scope.
Install Mechanism
No install spec and no code files — lowest-risk model (instruction-only). Nothing will be written to disk or downloaded as part of installation.
Credentials
No environment variables, credentials, or config paths are requested. The absence of secrets is proportionate to a joke-generation skill.
Persistence & Privilege
always is false and normal autonomous invocation is allowed (platform default). The skill does not request persistent system presence or modify other skills/configurations.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install joke-teller
  3. After installation, invoke the skill by name or use /joke-teller
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
Initial release of high-quality, context-aware joke generation. - Introduces structured joke guidelines: setup, expectation, violation, punchline, and compression. - Emphasizes originality, specificity, and avoidance of clichés. - Details multiple comedic mechanisms and tone modes. - Provides advanced techniques (e.g., tension ladder) and quality self-checks. - Outlines regeneration strategies for weak jokes. - Defines platform-specific guidelines and anti-patterns.
Metadata
Slug joke-teller
Version 1.0.0
License
All-time Installs 6
Active Installs 6
Total Versions 1
Frequently Asked Questions

What is High-quality Joke Teller?

Generates original, context-aware jokes with structured setups, clear comedic mechanisms, and compressed punchlines tailored to the audience and platform. It is an AI Agent Skill for Claude Code / OpenClaw, with 603 downloads so far.

How do I install High-quality Joke Teller?

Run "/install joke-teller" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is High-quality Joke Teller free?

Yes, High-quality Joke Teller is completely free (open-source). You can download, install and use it at no cost.

Which platforms does High-quality Joke Teller support?

High-quality Joke Teller is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created High-quality Joke Teller?

It is built and maintained by Vlad Ursul (@gora050); the current version is v1.0.0.

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