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    EmberDiff — Deterministic Code Diff & PR Risk Analyzer

    1

    Conservative code diff and PR risk analyzer using deterministic, evidence-backed P0-P3 tiering.

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    EmberDiff — Deterministic Code Diff & PR Risk Analyzer

    EmberDiff — Deterministic Code Diff & PR Risk Analyzer

    Example session with this skill installed

    Audit this TikTok script for a 19-year-old UK audience. It's for a finance app. Script: "Yo fam! Stop capping about your savings. This app is literally fire. No cap, it's a total vibe."

    • Read your context and instructions
    • Compiled the emberdiff

    The audit identifies a high "Cringe Trigger" score due to excessive, dated slang density that feels performative rather than authentic to the target demographic.

    Culture Signal Decoder Audit

    1. Verdict

    The creative relies on "slang-loading" which reads as a brand pretending to be a peer. This creates a trust barrier for a finance product where competence is valued over forced relatability.

    2. Context & Assumptions

    • Target audience: 19-year-old, UK-based.
    • Platform: TikTok.
    • Objective: App downloads/savings awareness.

    Assumptions: Audience values clarity and utility in fintech; slang used here is largely transatlantic/outdated for 2024 UK usage.

    3. Scorecard

    DimensionScore (1–5)Evidence-based rationaleConfidence
    Cultural Fit1"Yo fam" and "No cap" in one block is a caricature of youth speech.High
    Authenticity1Tone is performative; does not sound like a finance tool.High
    Originality2Relies on generic "internet speak" formulas.High
    AI-Slop Risk2Low risk of AI patterns, but high risk of "template" slang.Medium
    Cringe Triggers5Dense concentration of slang likely to be mocked.High

    4. Strongest Signals

    • Signal: "Yo fam!" / "Stop capping" / "literally fire" / "No cap" / "total vibe".
    • Interpretation: The brand is trying too hard to fit in, resulting in a "fellow kids" effect.
    • Context Dependency: Might work as irony, but for a finance app, it risks looking unprofessional.

    5. Highest-Impact Fix

    • Change this first: Remove 80% of the slang and replace it with a direct value proposition.

    Why it matters: Authentic youth communication on TikTok is often direct or fast-paced, not a checklist of keywords.

    • Suggested edit: "Be honest about your savings. This app actually helps you track where the money goes."
    • Expected improvement: Increased credibility and lower skip rates.

    6. Revised Creative

    "Let's be real about savings. If you're tired of checking your balance and seeing £0.04, this app is for you. We built it to actually track your spending without the headache. Link in bio to see how it works."

    Next steps

    1. Test the revised script against the original with a small focus group of UK students.
    2. Ensure the visual delivery is lo-fi and native to TikTok.
    3. Review the landing page to ensure the "real" tone carries through the sign-up flow.

    Connects securely to your tools. The creator never sees your data.

    About this skill

    Youth-facing content often fails because it tries too hard, uses dated references, or relies on generic, AI-sounding formulas. This skill provides an evidence-led audit of your creative work to identify exactly where it misses the mark and how to fix it without sounding forced.

    What it does

    • Cultural Audit evaluates scripts, copy, and concepts against specific age, platform, and subculture contexts.
    • Cringe Detection identifies forced slang, patronizing tones, and trend-chasing that undermines brand trust.
    • AI-Slop Analysis flags formulaic phrasing, repetitive structures, and empty hype that signal low-effort content.
    • Originality Scoring measures if a concept is distinctive or merely an interchangeable campaign template.
    • Prioritized Revision selects the single highest-impact change to improve audience reception.

    How it works

    1. Context Mapping where the user provides the creative and specific audience details like platform, region, and niche.
    2. Signal Identification where the agent extracts specific phrases or visual choices that create friction.
    3. Diagnostic Scoring across five dimensions: Cultural Fit, Authenticity, Originality, AI-Slop Risk, and Cringe Triggers.
    4. Restrained Rewriting that fixes the core issues while preserving the original campaign objectives and brand constraints.

    Frameworks & tools

    This skill uses a structured editorial framework built for creative strategists and copy editors. It works across Markdown and JSON formats for integration into content pipelines.

    Why this beats prompting it yourself

    Standard prompts often produce "fellow kids" style output or generic praise. This skill uses a calibrated scoring system and evidence-based logic to prevent the agent from inventing trends or providing vague, unhelpful feedback.

    Use cases

    • Auditing TikTok or Instagram ad scripts for Gen Z authenticity.
    • Reviewing educational content to ensure it is not patronizing to younger learners.
    • Screening AI-assisted copy for generic patterns and "slop" signals.
    • Refactoring brand voice guidelines for a specific subcultural community.

    Known limitations

    Does not provide real-time trend data or definitive predictions of viral success. Judgments are hypotheses based on provided context rather than live audience testing.

    Requires specific audience context for high confidence. Does not prove AI authorship. Not a substitute for primary audience research or legal/safety reviews.

    How to use

    1. 1

      Connect your agent to the Agensi MCP

      Copy the prompt and paste it into Claude, ChatGPT, Cursor or any agent that supports MCP. It sets up the connection for you. Manual setup

    2. 2

      Sign in to Agensi

      Your agent shows a sign-in link. Sign in and click Allow.

    3. 3

      Ask for what you need

      Your agent loads this skill and uses it on your task. It always asks before any payment.

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    What's inside

    Frequently Asked Questions

    This skill provides a structured editorial audit to identify 'cringe' triggers, dated references, and 'AI-slop' in youth-facing content, ensuring your brand voice remains authentic and avoids looking like it's trying too hard.

    The skill is optimized for high-end LLMs and works seamlessly across Markdown and JSON formats, making it easy to integrate into existing creative workflows or automated content pipelines.

    No, this skill is designed for 'Restrained Rewriting,' meaning it identifies specific friction points and provides high-impact fixes while strictly preserving your original campaign objectives and brand constraints.

    You will receive the full Culture Signal Decoder framework, including the calibrated diagnostic scoring system and the evidence-led audit logic required to run the skill in your preferred environment.

    Unlike generic prompts that often produce forced 'fellow kids' slang, this skill uses a calibrated scoring system and evidence-based logic to prevent the agent from hallucinating trends or providing vague, unhelpful feedback.

    While the logic is updated to reflect modern communication patterns, this skill does not provide real-time trend data or viral predictions; it focuses on long-term linguistic authenticity and structural quality.

    New in Marketing & SEO