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    Community Post: Rule-Checked Launch Posts

    1

    Drafts a value-first post for Reddit, Indie Hackers, HN or Discord, checked against that community's self-promotion rules.

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    Community Post: Rule-Checked Launch Posts

    Community Post: Rule-Checked Launch Posts

    Example session with this skill installed

    I want to post my SQLite explorer to r/selfhosted. I'm a lurker there. Rules say: 'Self-promo only on Saturdays, must be open source.' Story: I optimized the reader to handle 2GB files in the browser.

    • Read your context and instructions
    • Compiled the community post

    I have reviewed the r/selfhosted rules. Since you are a lurker and it is not currently Saturday, I have prepared a draft for the upcoming 'Self-Promotion Saturday' thread. I have also included a participation plan to build your reputation before posting.

    Community Post Draft

    Rule Check Summary: Allowed only on Saturdays. Since you are a lurker, I recommend commenting on 3-5 existing threads this week before posting your own.

    Title: How I got SQLite to read 2GB files in a browser tab without crashing

    Body:
    I’ve spent the last three months building a local-first SQLite explorer. The biggest hurdle wasn't the UI, but the memory limit in the browser. Most tools chug once you hit 500MB, but I managed to get it stable at 2GB by using a chunked file streaming approach with Web Workers.

    Here is the logic I used for the chunked loading (no product needed to implement this):

    1. Use the File API to slice the blob into 64KB pages.
    2. Maintain a LRU cache of recently accessed pages in a SharedArrayBuffer.
    3. Only hydrate the rows currently visible in the virtualized viewport.

    I built this because I got tired of downloading remote DBs just to run a quick count query. The tool is fully open source (MIT).

    I would love your feedback on the memory management. Does this approach hold up for your larger datasets, or should I be looking at OPFS instead?

    Link: https://github.com/example/sqlite-view

    Reply Plan:

    1. Comment: "Why not just use [Existing Tool]?"
      Response: "[Existing Tool] is great for small sets, but I struggled with it on files over 1GB. I built this specifically to handle larger local files without the browser hanging."
    2. Comment: "Is this just a wrapper for sql.js?"
      Response: "It uses sql.js for the engine, but the custom layer is the chunked file reader that avoids loading the whole DB into WASM memory at once."
    3. Comment: "Works poorly on mobile Safari."
      Response: "Good catch. Safari's memory limits are tighter. I'll look into reducing the chunk size for mobile browsers."

    Next steps

    • Save this draft for Saturday.
    • Comment on three 'Help' or 'Showcase' posts in r/selfhosted this week.
    • Ensure your README clearly states the MIT license as per community rules.

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

    About this skill

    Communities reward useful posts and punish ads. Write a post that is worth reading even for someone who never clicks the link.

    When to use it: Use it when you want to share your product in a community or ask "where should I post this".

    What you get:

    1. Rule-check summary (allowed / allowed in thread X / not yet).
    2. Title + body.
    3. Reply plan: the 3 most likely critical comments and a short, non-defensive answer to each.

    Works with Claude Code, Claude Cowork, Claude.ai Projects, Cursor, Codex CLI and any agent that reads SKILL.md. Markdown only: no scripts, no network access, no API keys.

    Install: unzip into ~/.claude/skills/ and restart Claude Code, then describe your situation and the skill loads by itself.

    Part of the Indie Launch Skills set by KritikosgnsStudio.

    How to use

    Skills on Agensi run inside your AI agent. Copy the prompt, paste it into your agent, and it connects to Agensi and installs this skill for you. If a payment is needed, your agent shows it to you first.

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