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Guide for using Reddit MCP to gather community sentiment, pain points, and adoption trends. Load this skill when a DAG contains research tasks about market validation, developer experience, or community opinions.
How this skill is triggered — by the user, by Claude, or both
Slash command
/godag:market-reconThe summary Claude sees in its skill listing — used to decide when to auto-load this skill
This skill is for the **main thread / orchestrator only**. Subagents cannot call MCP tools directly. You fetch the data, write it to disk, and pass the file path to the subagent.
This skill is for the main thread / orchestrator only. Subagents cannot call MCP tools directly. You fetch the data, write it to disk, and pass the file path to the subagent.
DAG contains tasks with type=research AND signals like: community, sentiment, pain points, adoption, market, trends, opinions, practitioners, experience.
Pick 2-3 subreddits matching the topic:
ClaudeAI, ChatGPTCoding, cursorprogramming, webdev, ExperiencedDevsdevops, sysadmin, kubernetesreactjs, nextjs, webdevSearch with short, specific queries (2-4 words). Run 2-3 queries per subreddit to cover angles: the tool name, the pain point, the alternative.
Skim results for signal: recurring complaints, praise patterns, specific user stories. Ignore hype posts with no substance.
Write results to .godag/context/{task_id}-market.md:
# Market Recon: {topic}
## Sources
- r/{sub1}: {N} relevant posts searched
- r/{sub2}: {N} relevant posts searched
## Key Pain Points
1. {pain point} — {1-2 sentence evidence with post reference}
2. ...
## Positive Signals
1. {signal} — {evidence}
## Sentiment: {positive|negative|mixed|shifting}
## Gaps / Unmet Needs
- {gap}
Keep the file under 2000 tokens. The subagent needs a concise briefing, not a data dump.
In the spawn prompt, add:
Read .godag/context/{task_id}-market.md for community research data.
Analyze and synthesize — don't just summarize what's in the file.
npx claudepluginhub blueif16/amazing-claude-code-plugins --plugin godagSearches and analyzes Reddit discussions for market research, product feedback, and community insights using Xpoz. Useful for understanding public sentiment on products, brands, or topics.
Guides Reddit market research for SaaS: collects public posts/comments, scores leads 1-10, classifies hot/warm/cold, filters false positives, categorizes pain points, outputs CSV and reports.
Researches product or business ideas across Web, Reddit, and X with structured reports on problem, market size, competition, customer profile, and distribution channels.