Agent skill

Reddit Community Research

by unifapi-agent in unifapi-agent/agents

When the user wants to understand the Reddit communities around a niche — which subreddits matter, what questions and objections keep coming up, and the exact language people use.

MITAuto-check passedMarketing & SEO

Install Reddit Community Research

skills CLI
$ npx skills add unifapi-agent/agents --skill reddit-community-research -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install unifapi-agent/agents reddit-community-research --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/unifapi-agent/agents.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/social-listening-agent/reddit-community-research .claude/skills/reddit-community-research && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
reddit-community-research
GitHub stars
589
Token cost
~2.7k tokens
SKILL.md length
1,299 words
Files
2
Skills in repo
47
Repo updated
First seen
Licence
MIT

At a glance

When the user wants to understand the Reddit communities around a niche — which subreddits matter, what questions and objections keep coming up, and the exact language people use.

  • Works in 6 steps: Frame the niche and gather seeds. Take… → Widen the seed list. Run… → Build the subreddit map. For each… → …
  • Wants to understand the Reddit communities around a niche — which subreddits matter
  • SKILL.md covers Use UnifAPI for live evidence, Workflow, Subreddit scoring rubric and Recurring-question extraction, plus 3 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Reddit Community Research is an agent skill from unifapi-agent/agents. When the user wants to understand the Reddit communities around a niche — which subreddits matter, what questions and objections keep coming up, and the exact language people use. Also use on "Reddit research," "subreddit research," "where does my audience hang out on Reddit," "community research," "what do people ask on Reddit about X," "Reddit objections," "voice of customer from Reddit," "find relevant subreddits," or "outreach-safe threads." Outputs a community research brief from public posts and comments…

Its SKILL.md is about 2.7k tokens, which your agent loads only when the skill is triggered. The skill folder holds 1 other file (for example `README.md`).

It sits in Marketing & SEO, covering Social media marketing, Deep research and Market research. It works with Reddit. The repository describes itself as: Open-source marketing agents for Claude, ChatGPT, Codex, OpenClaw & Hermes. One plugin: SEO audits, GEO / AI-visibility, local SEO, KOL pricing, social listening & competitive… The licence is MIT.

When your agent uses it

  • Wants to understand the Reddit communities around a niche — which subreddits matter
  • What questions and objections keep coming up
  • The exact language people use

Example prompts

  • “Reddit research,”
  • “subreddit research,”
  • “where does my audience hang out on Reddit,”
  • “/reddit-community-research”

Workflow steps

6 steps, taken from the first numbered list in SKILL.md.

  1. Frame the niche and gather seeds. Take the niche, product, or audience and — because there is no keyword search — a list of seed…
  2. Widen the seed list. Run reddit/trending-searches and reddit/feed/popular to surface live, on-topic communities the operator may not have…
  3. Build the subreddit map. For each candidate, pull reddit/subreddits/{name} (subscribers, activity, rules verbatim) and score it with the…
  4. Mine threads and comments. On the top-priority subreddits, pull reddit/posts/{id} and reddit/posts/{id}/comments; use…
  5. Capture the language. Note the words and phrases the community uses for the problem, the desired outcome, and the competing solutions…
  6. Flag outreach-safe threads against the safety rule below, using each subreddit's verbatim rule from step 3.

What it can do on your machine

Read from SKILL.md and the folder at commit fb53247. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Reddit Community Research loads about 2.7k tokens when it runs. Until then it costs about 166 tokens; SKILL.md has 1,299 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~166
When it runs · the whole SKILL.md, loaded when a task matches
~2.7k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from unifapi-agent/agents at commit fb53247, republished under its MIT licence (© unifapi-agent). 1,299 words, ~2,666 tokens.

Download SKILL.mdSave it as .claude/skills/reddit-community-research/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.
name
reddit-community-research
description
When the user wants to understand the Reddit communities around a niche — which subreddits matter, what questions and objections keep coming up, and the exact language people use. Also use on "Reddit research," "subreddit research," "where does my audience hang out on Reddit," "community research," "what do people ask on Reddit about X," "Reddit objections," "voice of customer from Reddit," "find relevant subreddits," or "outreach-safe threads." Outputs a community research brief from public posts and comments. Reads public Reddit only — never posts, comments, or DMs. For multi-platform brand monitoring, see social-listening-brief.
license
MIT
metadata.author
UnifAPI
metadata.version
1.0.0

Reddit Community Research

You are a Reddit community researcher. Map the Reddit communities around a niche: which subreddits the audience actually lives in, the questions and objections that keep coming up, and the exact words people use. The deliverable is a community research brief plus a short list of outreach-safe threads — places where a genuine, non-spammy reply would be welcome — so the operator can decide where (and whether) to show up.

This is an enhanced skill: it reads live public data through UnifAPI.

Use UnifAPI for live evidence

Reading the actual upvoted comments — and each subreddit's actual posted rules — beats guessing where an audience lives or whether a vendor reply would be welcome. Use the unifapi skill to connect (OAuth MCP), then work the Reddit surface in this order:

  • Discover what's hot — reddit/trending-searches (what's spiking right now) and reddit/feed/popular (the broadly-active threads) to spot live conversations and surface candidate communities.
  • Profile each community (the outreach-safety signal) — reddit/subreddits/{name} for subscriber count, posting activity, and the subreddit's rules verbatim. The self-promotion rule read off this endpoint is what gates whether a thread is outreach-safe — there is no substitute for reading it.
  • Mine the threads — reddit/posts/{id} (a thread's title, body, score, comment count, age) and reddit/posts/{id}/comments (the upvoted comments — recurring questions, objections, recommendations, and the verbatim phrasing of the problem and the alternatives named).
  • Spot power-users — reddit/users/{username}/comments to see whether a recurring voice is a credible regular (a person worth listening to) or a one-off, and to find the heavily-engaged members who shape a community's opinion.

Reddit has no keyword search. You cannot query "self-hosted password manager" and get matching threads. So you cannot discover communities by typing the niche — you seed from subreddits the operator already knows (ask for them), widen with whatever reddit/trending-searches and reddit/feed/popular surface, then drill into each with reddit/subreddits/{name} and reddit/posts/{id}/comments. Be honest in the brief that coverage is seed-driven and only as complete as the seed list — it is not an exhaustive sweep of Reddit.

Reddit's signal skews toward power users and strong opinions; weight a point by how often it recurs across threads and subreddits, not by a single highly-upvoted post. UnifAPI reads public data only — it never posts, comments, votes, or DMs. Keep any billing metadata UnifAPI returns so the brief can state actual record cost.

Workflow

  1. Frame the niche and gather seeds. Take the niche, product, or audience and — because there is no keyword search — a list of seed subreddits the operator already knows their audience uses (ask for them if missing). If .agents/product-marketing.md (or .claude/product-marketing.md) exists, read it first and only ask for what's missing.
  2. Widen the seed list. Run reddit/trending-searches and reddit/feed/popular to surface live, on-topic communities the operator may not have named, and add the relevant ones to the candidate set.
  3. Build the subreddit map. For each candidate, pull reddit/subreddits/{name} (subscribers, activity, rules verbatim) and score it with the rubric below.
  4. Mine threads and comments. On the top-priority subreddits, pull reddit/posts/{id} and reddit/posts/{id}/comments; use reddit/users/{username}/comments to gauge whether a recurring voice is a credible regular. Collect recurring questions and objections across threads — capture verbatim phrasing and a source URL for each, and cluster near-duplicates (method below).
  5. Capture the language. Note the words and phrases the community uses for the problem, the desired outcome, and the competing solutions — the vocabulary that should show up in copy and content.
  6. Flag outreach-safe threads against the safety rule below, using each subreddit's verbatim rule from step 3.

Subreddit scoring rubric

Score each candidate subreddit 1–5 on three axes:

AxisWhat it measures135
Relevancehow on-topic for the nichetangential overlappartly relevantcore audience lives here
Activitylive enough to mine and reachdormant / few postssteady weekly postsdaily active, fast comments
Outreach safetyroom for a disclosed, helpful replyrule 1 = no self-promo, hostile to vendorspromo tolerated in context"what do you use for X" culture, vendors welcome if helpful

Priority = Relevance × Activity for where to mine (you want on-topic and alive). Keep Outreach safety as a separate flag — it never raises mining priority, it only gates whether a thread can appear in the outreach list. A perfectly relevant subreddit with outreach-safety 1 is great for listening and off-limits for posting. Always record each subreddit's self-promotion rule verbatim.

Recurring-question extraction

  1. Pull titles + top comments from the highest-scoring subreddits.
  2. Normalize each question to its intent ("which tool for X," "is X worth it," "how do I do X," "why does X keep happening").
  3. Cluster near-duplicate phrasings into one question; keep every source URL on the cluster.
  4. Rank questions by recurrence across distinct threads/subreddits (not by single-post upvotes), and tag each as a question, objection/blocker, or recommendation request.
  5. Preserve the verbatim wording of the clearest example per cluster — that phrasing is the reusable copy asset.
Show full SKILL.md (494 more words)Show less

Output

A community research brief:

  • Subreddit map:
SubredditSubscribersActivityRelevanceOutreach safetySelf-promo rule (verbatim)Tone toward category
r/…84kdaily52"No promotion of your own product"skeptical of vendors
  • Recurring questions — clustered, ranked by recurrence, each with verbatim examples and URLs, tagged question / objection / recommendation-request.
  • Common objections & blockers — what makes people hesitate or churn, in their own words, with sources.
  • Community language — the verbatim vocabulary for the problem, the outcome, and the alternatives mentioned.
  • Outreach-safe threads — a short list, each with the URL, the relevant subreddit rule, why it fits, and a note that any reply must be genuinely helpful and disclosed.

State the seed subreddits, the communities actually covered, the time window, and the record cost (UnifAPI billing metadata or best estimate) so the brief is reproducible — and note that, with no keyword search, coverage is bounded by the seed list rather than an exhaustive sweep.

Worked example (abbreviated)

Niche: self-hosted password managers. r/selfhosted (340k, daily, relevance 5, outreach safety 3) scored Priority 15 → top mining target; its rule allows "Saturday self-promo only," recorded verbatim. r/privacy (relevance 4, outreach safety 1, "no vendor participation") scored well for listening but was excluded from the outreach list entirely. Top recurring question across both: "how do I sync between devices without a cloud" (clustered from 6 threads) → tagged objection, and the verbatim "I don't want my vault on someone else's server" went into the language bank.

Guardrails

  • Runs on-demand, not as a standing stream. Each brief is a snapshot of the communities at the time of the run.
  • No keyword search — coverage is seed-bounded. Reddit here cannot be queried by topic, so the map is only as complete as the seed subreddits plus what reddit/trending-searches/reddit/feed/popular surface. Never present it as an exhaustive scan of Reddit; name the seeds so a reader knows the boundary.
  • Reads public Reddit only — public posts and comments. No private messages, no modmail, no owned-account or analytics data.
  • Eyes, not hands. It maps and briefs; it never posts, comments, votes, or DMs. "Outreach-safe threads" are suggestions for a human to act on, with the relevant subreddit rules noted — the operator decides whether and how to reply, and any reply must be genuine and disclosed, never automated or spammy.
  • Respect each subreddit's self-promotion rules; never recommend posting where it's against the rules, and never frame astroturfing or coordinated inauthentic posting as an option. Outreach safety gates the outreach list only — it never inflates mining priority.
  • Reddit skews toward strong opinions and power users; treat findings as directional voice-of-customer signal, weighted by recurrence across threads and subreddits rather than any single post.
  • social-listening-brief (Social Listening Agent): widen the lens — monitor a brand or launch across X, Reddit, YouTube, TikTok, Threads, and news, not just Reddit communities.
  • customer-research (Content Strategy Agent): synthesize the questions, objections, and language here into reusable personas and voice-of-customer research.
  • unifapi: the shared data skill — connect MCP and discover the reddit/* operations this brief reads.

© unifapi-agent, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 1 other file in skills/social-listening-agent/reddit-community-research of unifapi-agent/agents.

  • SKILL.md
  • README.md

Open the folder on GitHubat commit fb53247

Compare with similar skills

Reddit Community Research next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Reddit Community Research compared with similar skills
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Reddit Competitor Analysis API Skillbrowser-act/skills6.1k1 repos~1.7kAutomated safety check: PassMIT
Reddit Insightslignertys/reddit-research-skills14—~2.2kAutomated safety check: WarnMIT
Community Moderation Policymohitagw15856/pm-claude-skills1.4k—~1.1kAutomated safety check: PassMIT
Customer ResearchNexus-JPF/note-companion8706 repos~3.2kAutomated safety check: PassMIT

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Works with

Categories

Questions about Reddit Community Research

What does Reddit Community Research do?

When the user wants to understand the Reddit communities around a niche — which subreddits matter, what questions and objections keep coming up, and the exact language people use. Reddit Community Research is an agent skill from unifapi-agent/agents. When the user wants to understand the Reddit communities around a niche — which subreddits matter, what questions and objections keep coming up, and the exact language people use.

When should I use Reddit Community Research?

Reddit Community Research fits situations like: wants to understand the Reddit communities around a niche — which subreddits matter; what questions and objections keep coming up; the exact language people use.

How do I install Reddit Community Research in Claude Code?

Run `npx skills add unifapi-agent/agents --skill reddit-community-research -a claude-code`. Or copy the skill folder (skills/social-listening-agent/reddit-community-research in unifapi-agent/agents) into .claude/skills/reddit-community-research in your project. Claude Code loads it when a task matches its description.

How do I install Reddit Community Research in Codex?

Run `npx skills add unifapi-agent/agents --skill reddit-community-research -a codex`. Or copy the skill folder (skills/social-listening-agent/reddit-community-research in unifapi-agent/agents) into .agents/skills/reddit-community-research in your project. Codex loads it when a task matches its description.

Can I use Reddit Community Research in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add unifapi-agent/agents --skill reddit-community-research -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/reddit-community-research, .gemini/skills/reddit-community-research, .github/skills/reddit-community-research and .opencode/skills/reddit-community-research in your project.

What does Reddit Community Research need to run?

SKILL.md names no scripts, command-line tools or credentials: Reddit Community Research is instructions for the agent only.

Does Reddit Community Research access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Reddit Community Research safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Reddit Community Research use?

Reddit Community Research is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Reddit Community Research use?

About 2.7k tokens (SKILL.md is roughly 11k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Reddit Community Research?

Skills that share tags, products or a category with Reddit Community Research: Blog Discourse (AgriciDaniel/claude-blog, 2.3k stars), Reddit Competitor Analysis API Skill (browser-act/skills, 6.1k stars), Reddit Insights (lignertys/reddit-research-skills, 14 stars) and Community Moderation Policy (mohitagw15856/pm-claude-skills, 1.4k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Reddit Community Research?

unifapi-agent (a GitHub organization) maintains it in unifapi-agent/agents, which has 589 GitHub stars. The repository holds 47 skills in this directory. The repository was last updated on September 5, 2026.

Source: unifapi-agent/agents on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.