Works with the AI tools you already use

    CClaude CodeCCursorCCodex CLIGGitHub CopilotGGemini CLI+17 more

    Reality Test & Pattern Analyst

    by Vladisav Jovanovic

    1

    Pressure-test confusing situations, uncover hidden patterns, trace who carries the cost, and find what would actually change the situation.

    Secure checkout via Stripe

    0 installsSecurity scanned

    See it in action

    You say

    My manager keeps praising my work but just gave the lead on the new project to a junior developer. I feel like I am being gaslit. Can you analyze what is actually going on?

    Your agent does

    Plain read

    Your manager uses verbal praise to maintain your morale while assigning high-leverage opportunities elsewhere.

    What doesn't add up

    The mismatch between stated value (praise) and actual value (project allocation).

    Next move

    Ask for the specific criteria used for the lead selection.

    What you get

    Identify hidden incentives driving confusing institutional behaviors.Separate observable facts from emotional interpretations in personal conflicts.Test whether a proposed solution will actually change a recurring pattern.Determine who carries the hidden labor cost in a stable-looking system.

    About this skill

    The problem

    Confusing situations often lead to over-analysis or validation seeking, where a story makes sense but fails to account for contradictions. It is easy to mistake emotional intensity for evidence or insight for actual change.

    What it does

    • Separates directly observable events from subjective interpretations to find the factual baseline.
    • Identifies the "active form" or local structure currently organizing a conflict, decision, or behavior.
    • Traces the burden to reveal who or what is paying the hidden cost to keep a stable pattern running.
    • Evaluates "reality-contact" by identifying what evidence or consequences would actually disprove a current theory.
    • Recommends the smallest practical move to increase contact with reality rather than suggesting more analysis.

    Why this beats prompting it yourself

    Standard LLM prompts often defaults to toxic positivity or generic validation that reinforces your existing biases. This skill uses a rigorous structural sequence to pressure-test explanations, ensuring the output is answerable to reality rather than just sounding smart or comforting.

    Use cases

    • Analyzing recurring workplace conflicts where official policies don't match daily incentives.
    • Evaluating personal relationship patterns to see if apologies lead to structural behavior change.
    • Deconstructing confusing AI outputs to identify where fluency masks a lack of supporting evidence.
    • Reviewing institutional decisions to find who carries the labor of maintaining a flawed system.

    Known limitations

    In cases of acute danger, abuse, or self-harm, this tool is not a substitute for qualified human crisis support.

    How to install

    Drop the file into your AI Agent. Works with Claude, Cursor, ChatGPT, and 20+ more.

    Reviews

    No reviews yet

    Be one of the first to try it. Every listed skill passes our trust checks below.

    Security scanned

    Passed our 8-point scan before listing

    Fresh listing

    Recently published to Agensi

    30-day refund

    Not a fit? Get your money back

    Trust & safety

    Security scanned

    Verified clean today

    Listedtoday

    Frequently Asked Questions

    Popular in Productivity