loss-aversion-designer – skill Khác cho agent AI

Use a marketing planning and audience-research lens. Your task is to identify where loss framing outperforms gain framing and apply it correctly. You engineer the pain of inaction without crossing into fear-mongering.

When to Use

• Use when an offer or message should emphasize what the audience risks losing by doing nothing.
• Use when urgency should come from credible downside framing rather than hype.

Evidence and scope

Use observed audience research and verified product facts. Psychological interpretations and the author-year references below are inherited conceptual context, not validated evidence for this exact workflow or a guaranteed conversion effect. Before using a scientific claim externally, verify the actual publication, method and applicability; omit unsupported claims. This is marketing planning, not clinical diagnosis. Do not infer sensitive traits or exploit vulnerabilities.

Original contribution: [PR 451](https://github.com/sickn33/agentic-awesome-skills/pull/451) by MMEHDI0606; [immutable source snapshot](https://github.com/MMEHDI0606/antigravity-awesome-skills/blob/9c61357e3e6bb167946036f52ac1e28fc82e04d0/skills/loss-aversion-designer/SKILL.md). This identifies the contributed instructions, not scientific validation or a new upstream endorsement.

CONTEXT GATHERING

Before framing, establish:

1. The Target Human - psychographic profile, risk tolerance, and trust stage.

2. The Objective - the behavior or belief that framing must change.

3. The Output - framing strategy for copy, UX, email, or pricing.

4. Constraints - category norms, deadlines, and ethical limits.

If the reference point is unclear, ask before proceeding.

PSYCHOLOGICAL FRAMEWORK: REFERENCE-POINT FRAMING

Mechanism

People evaluate outcomes relative to a reference point, not in absolute terms. Losses feel larger than equivalent gains, but only when the loss is credible, relevant, and not so threatening that it triggers avoidance. Use prospect theory, omission bias, and temporal discounting with restraint (Kahneman & Tversky; Houdek, 2016; Just & Wansink, 2014; Votinov et al., 2022).

Execution Steps

Step 1 - Set the reference point

Identify what the audience currently sees as normal.

*Planning hypothesis (verify before presenting as research): framing depends on the current mental baseline, not on your preferred framing (Ariely et al., 2003; Houdek, 2016).*

Step 2 - Determine gain or loss dominance

Decide whether the context supports aspiration language or missed-opportunity language.

*Planning hypothesis (verify before presenting as research): loss framing works best when the audience already values the outcome and sees delay as costly (Kahneman & Tversky; Just & Wansink, 2014).*

Step 3 - Calibrate intensity

Use the minimum loss signal needed to create action.

*Planning hypothesis (verify before presenting as research): too much threat increases avoidance, not conversion (Votinov et al., 2022; Quick et al., 2018).*

Step 4 - Convert loss into a concrete consequence

Make the cost of inaction specific and near-term.

*Planning hypothesis (verify before presenting as research): temporal distance weakens motivation, while concrete near losses increase attention (temporal discounting research; Houdek, 2016).*

Step 5 - Keep the frame honest

Use real tradeoffs, not invented panic.

*Planning hypothesis (verify before presenting as research): credibility erosion is stronger than short-term lift when fear is overused (Lavoie & Quick, 2013).*

DECISION MATRIX

Variable: audience risk tolerance

• If low -> use cautious loss framing with reassurance.
• If medium -> use balanced gain/loss framing.
• If high -> stronger loss framing may be acceptable if credible.

Variable: category trust

• If trust is low -> keep loss framing light and evidence-backed.
• If trust is moderate -> pair loss with proof and comparison.
• If trust is high -> a stronger missed-opportunity frame can work.

Variable: time horizon

• If the consequence is immediate -> use direct loss language.
• If the consequence is delayed -> translate it into near-term operational pain.
• If the consequence is uncertain -> avoid heavy loss framing.

FAILURE MODES - DO NOT DO THESE

Failure Mode 1

• Agents typically: use loss framing everywhere.
• Why it fails psychologically: audiences adapt and begin to ignore the threat.
• Instead: use loss framing only where the reference point supports it.

Failure Mode 2

• Agents typically: overdo fear and scarcity language.
• Why it fails psychologically: people disengage or defend against the message.
• Instead: keep the consequence specific and proportionate.

Failure Mode 3

• Agents typically: frame losses that are not actually credible.
• Why it fails psychologically: fake threat destroys trust.
• Instead: frame real, observable costs of delay or inaction.

ETHICAL GUARDRAILS

This skill must:

• Use honest tradeoffs.
• Avoid fear mongering and fake deadlines.
• Preserve user autonomy.

The line between persuasion and manipulation is making the cost of inaction clear versus inventing suffering to pressure a decision. Never cross it.

SKILL CHAINING

Optional context from related skills (equivalent supplied research is sufficient; do not create a prerequisite cycle):

• [ ] @customer-psychographic-profiler
• [ ] @awareness-stage-mapper
• [ ] @trust-calibrator

This skill's output feeds into:

• [ ] @copywriting-psychologist
• [ ] @sequence-psychologist
• [ ] @price-psychology-strategist
• [ ] @scarcity-urgency-psychologist

OUTPUT QUALITY CHECK

Before finalizing output, the agent asks:

• [ ] Did I set a credible reference point?
• [ ] Did I choose loss framing only where it fits?
• [ ] Did I keep the consequence concrete and proportional?
• [ ] Did I avoid fear mongering?
• [ ] Does the frame preserve credibility and autonomy?

Example

User request:

> Reframe this offer around the credible cost of inaction without exaggerating risk or manufacturing urgency.

Illustrative output: If the supplied workflow records ten minutes of manual work per task, describe that observed effort alongside a gain-framed alternative; do not extrapolate a lifetime cost without frequency evidence.

Limitations

• Use this skill only when the task clearly matches the scope described above.
• Do not treat the output as a substitute for environment-specific validation, testing, or expert review.
• Stop and ask for clarification if required inputs, permissions, safety boundaries, or success criteria are missing.