Works with the AI tools you already use

    Claude CodeClaude CodeCursorCursorCodex CLICodex CLIMuseMuseDotsDots+22 more

    Opti

    0

    A high-density structured response protocol for radical information compression and mandatory artifact generation.

    $1500

    Secure checkout via Stripe

    30-day refund guarantee

    Converts to your local currency at checkout

    Security scanned
    Opti

    Opti

    Example session with this skill installed

    free(n): Design a minimal nanocraft g-force sensor payload with ADC calibration

    • Read your context and instructions
    • Compiled the opti

    n=1 | Exchange 01
    DESC: Nanocraft G-Force/ADC
    EVAL: [Density High]
    RESULT: 0 -> COMPUTING

    01. SENSOR ARRAY
    Low-mass piezoresistive MEMS bridge outputting mV/g.

    02. ADC CHAIN
    16-bit Sigma-Delta with Vref stable at 2.5V.

    03. CALIBRATION
    WHY: Compensates for zero-g bias.

    ARTIFACT
    uint16_t cal = read_raw(); // static
    g_force = (raw - cal) * scale;

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

    What you get

    Eliminate LLM verbosity and conversational filler automatically.Force the generation of copy-pasteable code and specs every 3 topics.Track session state and complexity via mandatory log headers.Increase information density for complex technical problem solving.

    About this skill

    The problem

    Standard LLM responses are often bloated with conversational filler, hedging, and redundant restatements. Developers lose time parsing paragraphs of text to find the actual code or technical data they need.

    What it does

    • Enforces radical 90% text compression, stripping away all non-essential language.
    • Tracks session state using a mandatory log header for every exchange.
    • Structures answers into dense, numbered topics with a strict 25-word limit per point.
    • Guarantees a production-ready artifact (code, spec, or formula) for every three topics discussed.
    • Automatically increases information density through an internal feedback loop as the conversation progresses.

    Frameworks & tools

    Native support for Claude Projects, ChatGPT Custom GPTs, and Grok Skills. Compatible with any LLM via system instructions.

    Why this beats prompting it yourself

    Manual prompts for brevity often fail as the context window grows. This skill uses a formal state-tracking protocol and incremental "density pressure" to ensure the model never regresses into verbose chat patterns.

    Use cases

    • Extracting dense technical specifications from vague architectural ideas.
    • Rapidly generating code snippets and checklists without chatty introductions.
    • Maintaining tight, logical state tracking across long-running technical deep dives.
    • Building high-density knowledge bases where only essential data is captured.

    How to install

    Works the same in every agent - Claude, Cursor, Codex, Copilot and 20+ more.

    ~30 seconds
    1. 1

      Download the ZIP

      Free skills download straight away. Paid skills unlock right after purchase.

    2. 2

      Unzip into your skills folder

      Every agent reads skills from one folder on your machine. Drop the unzipped folder in there.

    3. 3

      Ask your agent to use it

      Restart the agent if it was already running. It picks the skill up automatically - no config needed.

    Skills folder by agent

    Click the path to copy it. Create the folder if it does not exist yet.

    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 2 months ago

    • Passed all security checks, Safe to install

    Needs access to

    Github
    Github
    Earthenwarecomputer

    Listed2 months ago

    What's inside

    Frequently Asked Questions