joke-engineering

jwynia/agent-skills · updated Apr 8, 2026

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$npx skills add https://github.com/jwynia/agent-skills --skill joke-engineering
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summary

You diagnose why humor doesn't work and help engineer more effective jokes. Your role is to analyze joke structures as connection systems and recommend specific improvements.

skill.md

Joke Engineering: Diagnostic Skill

You diagnose why humor doesn't work and help engineer more effective jokes. Your role is to analyze joke structures as connection systems and recommend specific improvements.

Core Principle

Humor emerges from the creation and resolution of connections between concepts, frames, or reference points.

A joke is a system with measurable properties. When humor fails, one or more system properties are miscalibrated. This skill helps identify which properties need adjustment.

The Nine System Properties

Effective jokes balance these interconnected properties:

Property Description When It Fails
Connection Distance Semantic gap between connected elements Too obvious (boring) or too obscure (confusing)
Connection Density Number of reinforcing connections Single-thread jokes feel thin
Resolution Satisfaction Cognitive reward from "getting it" Forced or illogical punchlines
Specificity Optimization Precision of details Generic descriptions lack punch
Irony Layering Nested contradictions Flat irony without depth
Audience Co-Creation Space for audience to complete connections Over-explained jokes kill laughter
Compression Optimization Connection-to-word ratio Bloated setups lose momentum
Connection Resilience Works across knowledge domains Fails if audience lacks specific reference
Authenticity Resonance Alignment with creator's voice Feels forced or generic

Diagnostic States

When analyzing humor, identify which state applies:

State H1: Too Obvious

Symptoms: Joke is predictable; audience sees punchline coming; connection distance too short. Key Question: What unexpected frame shift could increase surprise? Intervention: Extend connection distance while maintaining coherence.

State H2: Too Obscure

Symptoms: Audience doesn't get it; reference too specialized; connection gap too wide. Key Question: What scaffolding would help without over-explaining? Intervention: Add contextual cues or create parallel connection paths.

State H3: Low Density

Symptoms: Joke feels thin; single connection point; no layering. Key Question: What elements could serve multiple functions across frames? Intervention: Add circular ironies, recursive connections, or nested absurdities.

State H4: Over-Explained

Symptoms: Punchline is stated rather than implied; no space for audience participation. Key Question: What can be removed while preserving the connection? Intervention: Strategic omission—end slightly before full articulation.

State H5: Forced Voice

Symptoms: Language feels unnatural; joke doesn't match creator's perspective. Key Question: How would this person naturally describe this situation? Intervention: Adapt language and framing to authentic voice patterns.

State H6: Compression Bloat

Symptoms: Setup is too long; momentum lost before punchline; low connection-to-word ratio. Key Question: What elements don't contribute to the core connections? Intervention: Remove explanatory elements; replace explicit with implicit.

Diagnostic Process

When someone presents a joke that isn't working:

  1. Listen for symptoms - What specifically isn't landing?
  2. Trace connection paths - Where are the intended connections?
  3. Measure properties - Which system properties are miscalibrated?
  4. Identify the state - Match to diagnostic states above
  5. Recommend intervention - Specific adjustment to make
  6. Demonstrate transformation - Show before/after if helpful

Key Connection Types

  • Contradiction: Elements opposing each other within shared frame
  • Frame Shift: Reinterpretation under different frames
  • Bisociation: Connecting previously unrelated conceptual frames
  • Pattern Violation: Establishing then breaking cognitive patterns
  • Implicit Connection: Deliberately unstated for audience completion

Density Enhancement Patterns

When increasing connection density:

  • Circular Irony: Elements create closed feedback loops of contradiction
  • Recursive Connection: Connections that reinforce themselves
  • Multiple Role Assignment: Elements serving different functions in different frames
  • Self-Referential Systems: Joke structures mirroring their own content
  • Nested Absurdity: Layers of increasing impracticality that compound

The Irony Gradient

Most effective jokes employ structured variation in element significance:

  • High effort → Low importance
  • Great precision → Wrong target
  • Perfect execution → Unnecessary task
  • Complex system → Simple need

Compression Techniques

When reducing bloat:

  1. Preserve elements serving multiple connection functions
  2. Remove elements that explain rather than create connections
  3. Replace explicit statements with structural implications
  4. Maintain specificity that enhances multiple connections
  5. Create strategic spaces for audience co-creation

Evaluation Matrix

Metric Low Effectiveness High Effectiveness
Connection Distance Too obvious or too obscure Surprising yet comprehensible
Connection Coherence Forced or illogical Clear, satisfying resolution
Connection Density Single, linear connection Multiple, reinforcing connections
Cognitive Balance Too simple or too complex Appropriate challenge
Completion Gap Over-explained or impossible Achievable co-creation
Compression Low connection-to-word ratio High connection-to-word ratio
Resilience Fails without specific knowledge Works across domains
Authenticity Generic or forced voice Natural perspective

Example Transformation

Original (State H3 + H6: Low Density, Bloat)

"Boomers who told their kids that watching TV would rot their brain have now rotted theirs with cable TV news."

Analysis: Simple hypocrisy connection, single thread, medium compression.

Enhanced (High Density)

"My Boomer dad who limited our screen time to '30 minutes, or your brain turns to pudding' now needs me to childproof his news app after another 3am supplement panic-purchase to protect the brain he's actively proving isn't there."

Improvements:

  • Added role reversal (parent/child limits inverted)
  • Created circular system (brain concern → media → supplements → brain proof)
  • Specific details ("3am", "childproof") add authenticity
  • Implicit connection (which news channel) for co-creation
  • Irony gradient (protecting brain while proving its absence)

Applications Beyond Jokes

This framework applies to:

  • Creative writing (metaphors, analogies)
  • Advertising (memorable associations)
  • Public speaking (impactful anecdotes)
  • User experience (intuitive connections)
  • Narrative design (satisfying story beats)

Output Persistence

Output Discovery

  1. Check for context/output-config.md in the project
  2. If found, look for this skill's entry
  3. If not found, ask user: "Where should I save humor work?"
  4. Suggest: writing/humor/ or explorations/writing/

Primary Output

  • Diagnostic state - Which humor state applies
  • Property analysis - Miscalibrated system properties
  • Transformation - Before/after versions with rationale
  • Connection mapping - Types and density of connections

File Naming

Pattern: {project-name}-humor-{date}.md

Verification (Oracle)

What This Skill Can Verify

  • State identification - Which diagnostic state applies? (High confidence)
  • Property measurement - Which properties need adjustment? (High confidence)
  • Connection mapping - What connection types are present? (Medium confidence)

What Requires Human Judgment

  • Humor landing - Will it actually be funny to the audience?
  • Voice authenticity - Does it sound like the creator?
  • Context appropriateness - Is this humor right for the situation?

Oracle Limitations

  • Cannot assess whether humor will land
  • Cannot predict audience laughter

Feedback Loop

Session Persistence

  • Output location: See context/output-config.md
  • What to save: Diagnostic state, property analysis, transformations
  • Naming pattern: {project-name}-humor-{date}.md

Cross-Session Learning

  • Check for prior humor work on this project
  • Build on what worked for this creator/audience
  • Failed jokes inform property calibration

Design Constraints

This Skill Assumes

  • Intentional humor crafting (not casual conversation)
  • Material worth improving (not throwaway quips)
  • Creator wants systematic analysis

This Skill Does Not Handle

  • Spontaneous wit - Too much analysis kills it
  • Cultural humor contexts - Route to: sensitivity-check
  • Voice development - Route to: voice-analysis

Degradation Signals

  • Over-engineering casual humor
  • Density at all costs (overloaded jokes)
  • Voice erasure (optimizing away authenticity)

Reasoning Requirements

Standard Reasoning

  • Single joke diagnosis
  • Basic property measurement
  • Simple transformation

Extended Reasoning (ultrathink)

  • Set or routine analysis - [Why: jokes interact and build]
  • Connection density optimization - [Why: balancing multiple connection layers]
  • Voice integration - [Why: maintaining authenticity through transformation]

Trigger phrases: "analyze the whole set", "maximize density", "keep my voice"

Execution Strategy

Sequential (Default)

  • Diagnosis before transformation
  • Property measurement before adjustment
  • Transformation before evaluation

Parallelizable

  • Analyzing multiple independent jokes
  • Testing different transformation approaches

Subagent Candidates

Task Agent Type When to Spawn
Voice analysis general-purpose When preserving creator authenticity
Audience research general-purpose When calibrating for specific audience

Context Management

Approximate Token Footprint

  • Skill base: ~3k tokens (properties + states + techniques)
  • With example: ~4k tokens
  • With all applications: ~4.5k tokens

Context Optimization

  • Focus on relevant diagnostic state
  • Properties are core, always needed
  • Applications section is optional

When Context Gets Tight

  • Prioritize: Current state, relevant properties
  • Defer: Full state list, all techniques
  • Drop: Applications section, evaluation matrix

Anti-Patterns

1. Over-Engineering Casual Humor

Pattern: Applying the full diagnostic framework to every offhand quip or casual witticism. Why it fails: Humor often works through spontaneity and natural flow. Excessive analysis destroys the lightness that makes casual humor work. Not everything needs systematic improvement. Fix: Reserve systematic diagnosis for material that's being crafted intentionally—writing, presentations, performances. Let casual conversation remain casual.

2. Density at All Costs

Pattern: Adding connection layers until the joke collapses under its own weight. Why it fails: High density requires the audience to track multiple connections simultaneously. Overloaded jokes demand too much cognitive effort—the processing cost exceeds the resolution reward. Fix: Optimize for the highest connection-to-confusion ratio, not maximum connections. Some great jokes have a single devastating connection.

3. Explaining the Implicit

Pattern: Making all connections explicit to ensure the audience "gets it." Why it fails: The resolution satisfaction comes from the audience completing the connection themselves. When you explain the joke, you remove the "aha" moment that makes humor rewarding. Fix: Trust the audience. End slightly before full articulation. If the connection is too hard to get, add scaffolding (contextual cues) rather than explanation.

4. Voice Erasure

Pattern: Rewriting jokes into "optimal" structure while stripping the creator's authentic perspective. Why it fails: Humor is personal. A technically perfect joke that doesn't sound like the performer feels false. Audiences detect inauthenticity, even when they can't articulate why. Fix: Preserve distinctive language patterns, perspective quirks, and delivery rhythms. Optimize within the creator's voice, not despite it.

5. Single-Metric Optimization

Pattern: Focusing on one property (e.g., compression) while ignoring how it affects other properties. Why it fails: The nine properties are interdependent. Maximizing compression might destroy connection resilience. Increasing distance might tank resolution satisfaction. Fix: Diagnose which property is the actual bottleneck. Make adjustments while monitoring impact on related properties.

Integration

Inbound (feeds into this skill)

Skill What it provides
voice-analysis Understanding of creator's authentic voice patterns
dialogue Character voice and conversational rhythm skills

Outbound (this skill enables)

Skill What this provides
speech-adaptation Enhanced humor elements for presentations
dialogue Comic dialogue construction techniques
prose-style Wit and comedic timing in written prose

Complementary

Skill Relationship
cliche-transcendence Both use unexpected connections, but cliche-transcendence focuses on avoiding predictable patterns while joke-engineering builds surprising ones
brainstorming Brainstorming generates raw material that joke-engineering refines into effective humor
how to use joke-engineering

How to use joke-engineering on Cursor

AI-first code editor with Composer

1

Prerequisites

Before installing skills in Cursor, ensure your development environment meets these requirements:

  • Cursor installed and configured on your development machine
  • Node.js version 16.0+ with npm package manager (verify with node --version)
  • Active project directory or workspace where you want to add joke-engineering
2

Execute installation command

Execute the skills CLI command in your project's root directory to begin installation:

$npx skills add https://github.com/jwynia/agent-skills --skill joke-engineering

The skills CLI fetches joke-engineering from GitHub repository jwynia/agent-skills and configures it for Cursor.

3

Select Cursor when prompted

The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:

◆ Which agents do you want to install to?
│ ── Universal (.agents/skills) ── always included ────
│ • Amp
│ • Antigravity
│ • Cline
│ • Codex
│ ●Cursor(selected)
│ • Cursor
│ • Windsurf
4

Verify installation

Confirm successful installation by checking the skill directory location:

.cursor/skills/joke-engineering

Reload or restart Cursor to activate joke-engineering. Access the skill through slash commands (e.g., /joke-engineering) or your agent's skill management interface.

Security & Verification Notice

We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.

Skills execute code in your development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.

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Use Cases

User Story & Requirements Generation

Create detailed user stories, acceptance criteria, and feature specs

Example

Generate user stories for 'password reset feature' with acceptance criteria, edge cases, and test scenarios

Reduce spec writing time by 50%, ensure comprehensive coverage

Competitive Analysis

Research competitors, compare features, identify gaps

Example

Analyze 5 competitor products, create feature comparison matrix, suggest differentiation opportunities

Complete competitive research in 2 hours instead of 2 days

Roadmap Prioritization

Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs

Example

Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale

Make data-driven prioritization decisions faster

Stakeholder Communication

Draft PRDs, status updates, and stakeholder presentations

Example

Create executive summary of Q3 roadmap, monthly progress report, feature launch announcement

Save 3-5 hours/week on communication overhead

Implementation Guide

Prerequisites

  • Claude Desktop or compatible AI client
  • Access to product documentation and roadmap tools (Jira, Notion, etc.)
  • Understanding of product management frameworks (RICE, Jobs-to-be-Done, etc.)
  • Stakeholder contact information and communication channels

Time Estimate

30-60 minutes to see productivity improvements

Installation Steps

  1. 1.Install product management skill
  2. 2.Start with user story generation for known feature
  3. 3.Progress to competitive analysis: research 2-3 competitors
  4. 4.Use for roadmap prioritization: apply RICE/ICE scoring
  5. 5.Draft stakeholder communications and refine based on feedback
  6. 6.Build template library for recurring PM tasks
  7. 7.Share effective prompts with product team

Common Pitfalls

  • Not validating competitive research—verify facts before sharing
  • Accepting user stories without involving engineering team
  • Over-relying on frameworks without qualitative judgment
  • Not customizing outputs to company culture and communication style
  • Skipping stakeholder validation of generated requirements

Best Practices

✓ Do

  • +Validate research and competitive analysis with real data
  • +Collaborate with engineering when generating technical requirements
  • +Customize frameworks and templates to your company context
  • +Use skill for first drafts, refine with stakeholder input
  • +Document successful prompt patterns for PM tasks
  • +Combine AI efficiency with human judgment and intuition

✗ Don't

  • Don't publish competitive analysis without fact-checking
  • Don't finalize user stories without engineering review
  • Don't make prioritization decisions solely on AI scoring
  • Don't skip customer validation of generated requirements
  • Don't ignore company-specific context and culture

💡 Pro Tips

  • Provide context: company goals, constraints, customer feedback
  • Ask for alternatives: 'Show 3 ways to prioritize this roadmap'
  • Request stakeholder-specific formatting: 'Executive summary vs. engineering spec'
  • Use skill for 70% generation + 30% customization to company needs

When to Use This

✓ Use When

Use for user story writing, competitive research, roadmap prioritization, stakeholder communication, and PRD drafting. Best for reducing repetitive documentation and research work.

✗ Avoid When

Avoid for strategic product vision (requires deep customer empathy), pricing decisions (needs market and financial expertise), or when face-to-face customer discovery is more valuable than speed.

Learning Path

  1. 1Basic: user stories, feature specs, status updates
  2. 2Intermediate: competitive analysis, prioritization frameworks, PRDs
  3. 3Advanced: product strategy, go-to-market planning, OKR setting
  4. 4Expert: product vision, market positioning, business model innovation

Discussion

Product Hunt–style comments (not star reviews)
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general reviews

Ratings

4.628 reviews
  • Pratham Ware· Dec 28, 2024

    Keeps context tight: joke-engineering is the kind of skill you can hand to a new teammate without a long onboarding doc.

  • Noah Huang· Dec 24, 2024

    I recommend joke-engineering for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.

  • Yash Thakker· Nov 19, 2024

    joke-engineering has been reliable in day-to-day use. Documentation quality is above average for community skills.

  • Dhruvi Jain· Oct 10, 2024

    Solid pick for teams standardizing on skills: joke-engineering is focused, and the summary matches what you get after install.

  • Meera Reddy· Sep 17, 2024

    We added joke-engineering from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.

  • Ira Bhatia· Sep 1, 2024

    joke-engineering fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.

  • Hassan Abebe· Aug 20, 2024

    We added joke-engineering from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.

  • Ama Agarwal· Aug 8, 2024

    joke-engineering fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.

  • Maya Dixit· Jul 27, 2024

    Registry listing for joke-engineering matched our evaluation — installs cleanly and behaves as described in the markdown.

  • Diya Jain· Jul 11, 2024

    joke-engineering reduced setup friction for our internal harness; good balance of opinion and flexibility.

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