notslop-write-reddit-reply

name	notslop-write-reddit-reply
description	Use when the user wants to write a reply to an existing Reddit thread. Reads the thread + sub culture, drafts a comment grounded in current context.

Providers required

Capability	Required	Providers (BYOK)	Setup	Cost
Pull social signal (Reddit/HN/blogs)	yes	built-in, no key needed	—	free
Rerank by relevance	yes	ZeroEntropy zerank-2	PROVIDERS.md#zeroentropy-rerank--embed	free tier OK
Embed for cross-source dedup	yes	ZeroEntropy zembed-1	PROVIDERS.md#zeroentropy-rerank--embed	free tier OK
Scrape X posts	no	—	—	—

When to use this skill

• "Reply to "
• "Help me respond to this Reddit thread"
• The user provides a Reddit thread URL (not a topic to post about).

For making a NEW post (title + body), use notslop-write-reddit-post instead.

Setup

notslop init configured.

Steps

1. Read the thread (and its top comments) — fetch the JSON via Bash:

   curl -s -A "notslop/0.3" "<REDDIT_URL>.json" | head -c 50000
   

   The .json suffix is Reddit's public read-only API. Parse the post + top 20 comments.

2. Identify the parent comment the user wants to reply to (ask if ambiguous). Read its tone, position, and what would actually add value vs add noise.

3. Pull current sub-scoped context for adjacent posts in the last 30 days:

   notslop digest "<KEY_TERMS_FROM_THREAD>" --sources reddit --since 30d --top 10 --for-content
   

   This gives evidence to cite from other recent discussions.

4. Write the reply. Constraints:

   • 100-400 chars typical. Match the thread's reply lengths.
   • No "great question!" / "this is interesting because..." filler openings.
   • First-person OK for personal experience.
   • Cite at most one other thread to add evidence (overdoing it reads like content marketing).
   • No self-promotion. No "I built X that solves this".
   • Match sub culture: r/MachineLearning expects rigor; r/LocalLLaMA tolerates casualness; r/programming punishes hype.

5. Show the draft. Note the parent comment URL for context.