teamday-ai/agents/reddit

Claude Code and agent skill by teamday-ai/agents

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Search Reddit for relevant discussions, monitor subreddits for engagement opportunities, read threads with comments, and draft helpful community responses. No API key required.

Install

npx vskill@latest install teamday-ai/agents/reddit

SKILL.md

Reddit Engagement Skill

Search Reddit for relevant discussions, read threads with full comment trees, and draft authentic community responses.

When to Use

  • Find Reddit discussions about your product, industry, or competitors
  • Monitor subreddits for engagement opportunities
  • Read a specific thread and its comments before responding
  • Draft helpful, non-promotional responses to community questions
  • Social listening for brand mentions or relevant topics

Scripts

Search Reddit
bash
bun .claude/skills/reddit/scripts/reddit-search.ts "<query>" [options]
OptionDefaultDescription
--subreddit=NAMEallRestrict to a specific subreddit
--sort=VALUErelevancehot, new, relevance, comments, top
--time=VALUEweekhour, day, week, month, year, all
--limit=N25Number of results (max 100)

Examples:

bash
# Broad search
bun .claude/skills/reddit/scripts/reddit-search.ts "ai agents for business" --sort=new --time=week
# Targeted subreddit search
bun .claude/skills/reddit/scripts/reddit-search.ts "workflow automation" --subreddit=smallbusiness --time=month
# Find recent hot discussions
bun .claude/skills/reddit/scripts/reddit-search.ts "best ai tools 2026" --sort=hot --limit=10
Read Thread + Comments
bash
bun .claude/skills/reddit/scripts/reddit-thread.ts "<url_or_permalink>" [--depth=N]

Fetches the full post body and nested comment tree. Use before drafting a response.

Examples:

bash
# Read a thread with 3 levels of comment nesting
bun .claude/skills/reddit/scripts/reddit-thread.ts "https://reddit.com/r/SaaS/comments/abc123/post_title/"
# Shallow read (top-level comments only)
bun .claude/skills/reddit/scripts/reddit-thread.ts "/r/artificial/comments/xyz789/some_post/" --depth=1

Workflow

Phase 1: Discovery

Run searches across relevant subreddits:

bash
# Broad search across all of Reddit
bun .claude/skills/reddit/scripts/reddit-search.ts "your topic" --sort=new --time=week
# Targeted subreddit searches
bun .claude/skills/reddit/scripts/reddit-search.ts "your topic" --subreddit=relevant_sub --time=month
Phase 2: Qualify Opportunities

Evaluate each result for engagement potential:

Prioritize:

  • Questions asking for tool/product recommendations
  • Pain points your product solves
  • Active discussions (5+ comments, growing)
  • Comparison threads

Skip:

  • Threads older than 2 weeks (stale)
  • Posts with 0 comments and low score (no audience)
  • Rant/complaint threads
  • Already-resolved questions
Phase 3: Deep-Read Promising Threads
bash
bun .claude/skills/reddit/scripts/reddit-thread.ts "<permalink>"

Understand: What is OP asking? What answers exist? Is there a gap you can fill? What's the tone?

Phase 4: Draft Response

Guidelines:

  • Be genuinely helpful first, promotional second (or not at all)
  • Write like a knowledgeable community member, not a marketer
  • Share specific, actionable advice
  • Only mention your product if directly relevant
  • Use "I've been using..." or "We built..." framing
  • Match the subreddit's culture and tone

Structure:

  1. Acknowledge the problem
  2. Share useful insight (valuable regardless of your product)
  3. Mention your product only if directly relevant
  4. Offer to help further
Phase 5: Report

Present findings as a structured engagement report with search queries, top opportunities, draft responses, and recommended follow-up searches.

How It Works

Uses Reddit's public JSON API — no authentication or API keys needed. Simply appends .json to Reddit URLs to get structured data.

Rate limits: ~10 requests/minute unauthenticated. Scripts include a custom User-Agent header. If you hit 429 errors, wait 60 seconds.

Output

  • Search: Returns JSON array of posts with title, subreddit, score, comment count, age, and text preview. Also prints a human-readable summary.
  • Thread: Prints formatted post body + nested comment tree. Outputs structured JSON to stderr for programmatic use.

Security

  • Security scanPassed, 90 of 100Pattern checks on the skill's files.
  • Model reviewPassed

Quality evaluation

  • Task evaluationNot runNo evaluation yet. Run one in Skill Studio.

Source

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