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From godag
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.
npx claudepluginhub blueif16/amazing-claude-code-plugins --plugin godagHow 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.
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.
Maps Reddit communities around a niche: finds subreddits, recurring questions/objections, and outreach-safe threads. Outputs a research brief from public Reddit data.
Share bugs, ideas, or general feedback.
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.