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    Reddit Post Drafter

    2

    Draft and lint Reddit posts calibrated for developer subreddits to avoid removals and maximize engagement.

    Free

    7 usesSecurity scanned
    reddit-post-drafter

    reddit-post-drafter

    Example session with this skill installed

    I want to share my new app on r/programming. Draft a post titled 'Show HN: My App' and lint it for community fit.

    • Read your context and instructions
    • Compiled the reddit-post-drafter

    [LINT RESULT] Subreddit: r/programming
    Risk: HIGH | Reason: Launch-style copy detected.
    Advice: Reframe as a technical walkthrough.
    Title: "Show HN: My App" -> "How we optimized Postgres locks for 10k concurrent users"
    Draft Score: 42/100 (Safe Rewrite Provided)

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

    About this skill

    Native Reddit Engagement for Developers

    Stop sounding like a marketing bot when sharing your work. This skill helps developers draft, lint, and calibrate posts specifically for high-signal subreddits like r/programming, r/webdev, and r/LocalLLaMA. It solves the "instant removal" problem by analyzing subreddit-specific norms, flair requirements, and self-promotion thresholds before you hit post.

    What it does

    • Live Subreddit Calibration: Fetches recent posts to analyze current tone, successful title patterns, and active flair usage.
    • Subreddit-Specific Profiles: Uses pre-baked knowledge for 6 major dev hubs (r/programming, r/webdev, r/ClaudeAI, r/LocalLLaMA, r/SideProject, r/opensource).
    • Risk Assessment Linter: Runs your draft through a deterministic linter that flags "AI tells," marketing hype, and potential rule violations.
    • Automated Rewriting: If a draft is flagged as high-risk, it generates a "safer" version that reframes your content to fit the community's technical expectations.

    Why use this skill?

    Unlike standard LLM prompts which often produce "Hey fellow Redditors!" cringe, this skill uses a structured Python-based linter and live search data. It forces your agent to look at what's actually working on the front page right now, ensuring your project launch or technical question gets engagement instead of a ban.

    • Limited to 6 specific developer subreddits.
    • Cannot bypass platform-level rate limits or shadowbans.
    • Requires Python 3 to execute deterministic linting scripts.

    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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    7 uses

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    Trust & safety

    Security scan

    Security scan passed 6 months ago

    • Free with an Agensi account

    Requires

    Reddit

    Permissions

    Allowed Hosts

    old.reddit.com
    www.reddit.com
    Listed6 months ago

    What's inside

    Frequently Asked Questions

    This skill uses live subreddit calibration and a deterministic linter to identify 'marketing speak' and high-risk phrasing that leads to removals, ensuring your post aligns with strict community norms for developer-centric subreddits.

    While it includes deep optimization for six major subreddits like r/programming and r/LocalLLaMA, the 'Live Calibration' feature allows it to analyze and adapt to the current tone and rules of almost any technical subreddit.

    No, this skill is a drafting and linting tool designed to help you craft high-quality content; it does not have the capability to log into your account or bypass Reddit's manual or automated moderation systems.

    You receive the full skill package including the risk assessment linter, the subreddit calibration logic, and access to the specialized rewriting engine for use within your agentic workflow.

    This skill is designed for modularity and is compatible with most major agent frameworks that support Python-based tool execution or structured LLM prompting.

    The linter and subreddit profiles are updated periodically to reflect changing community rules, and the live search feature ensures the agent is always aware of the most recent trending patterns.

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