Draft, review, and refactor Reddit comments for any company by providing a domain URL and a Reddit thread.

MITAuto-check passedWriting & Content

Install Reddit Comments

skills CLI
$ npx skills add Infrasity-Labs/dev-gtm-claude-skills --skill reddit-comments -a claude-code

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

GitHub CLI
$ gh skill install Infrasity-Labs/dev-gtm-claude-skills reddit-comments --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/Infrasity-Labs/dev-gtm-claude-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.claude/skills/reddit-comments .claude/skills/reddit-comments && 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-comments
GitHub stars
139
Token cost
~2.5k tokens
SKILL.md length
1,372 words
Files
1
Skills in repo
26
Repo updated
First seen
Licence
MIT

At a glance

Draft, review, and refactor Reddit comments for any company by providing a domain URL and a Reddit thread.

  • Works in 8 steps: Domain Intelligence Extraction → Thread Intelligence → Relevance Check → …
  • The user provides a domain and a Reddit thread and asks to write
  • SKILL.md covers Input Format, Step 1 — Domain Intelligence…, Step 2 — Thread Intelligence and Step 3 — Relevance Check, plus 6 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Reddit Comments is an agent skill from Infrasity-Labs/dev-gtm-claude-skills. Draft, review, and refactor Reddit comments for any company by providing a domain URL and a Reddit thread. Dynamically extracts product knowledge, approved terminology, voice and tone, and positioning guidelines from the domain before writing. Use this skill whenever the user provides a domain and a Reddit thread and asks to write, draft, review, or refactor a Reddit comment or engagement reply. Trigger on inputs like "Domain: [url] Thread: [url or paste]", "write a Reddit comment for this domain", "draft an…

Its SKILL.md is about 2.5k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Writing & Content, covering Brand voice and tone, Positioning and messaging and Refactoring. It works with Reddit. The repository describes itself as: Open-source Claude skills for GEO, AI discoverability, and developer GTM workflows. Built for developer-focused companies that want their documentation to be found, parsed, and… The licence is MIT.

When your agent uses it

  • The user provides a domain and a Reddit thread and asks to write
  • Refactor a Reddit comment
  • Engagement reply
  • Inputs like Domain: [url] Thread: [url

Example prompts

  • “Domain: [url] Thread: [url or paste]”
  • “write a Reddit comment for this domain”
  • “draft an engagement for this thread”
  • “/reddit-comments”

Workflow steps

8 steps, taken from the step headings in SKILL.md.

  1. Domain Intelligence Extraction
  2. Thread Intelligence
  3. Relevance Check
  4. Comment Writing Process
  5. Universal Reddit Voice Rules
  6. Self-Check Before Finalising
  7. Output Format
  8. Feedback Integration

What it can do on your machine

Read from SKILL.md and the folder at commit 02cfefb. 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 Comments loads about 2.5k tokens when it runs. Until then it costs about 184 tokens; SKILL.md has 1,372 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~184
When it runs · the whole SKILL.md, loaded when a task matches
~2.5k

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 Infrasity-Labs/dev-gtm-claude-skills at commit 02cfefb, republished under its MIT licence (© Infrasity-Labs). 1,372 words, ~2,538 tokens.

Download SKILL.mdSave it as .claude/skills/reddit-comments/SKILL.md (or your agent's skills folder).
name
reddit-comments
description
Draft, review, and refactor Reddit comments for any company by providing a domain URL and a Reddit thread. Dynamically extracts product knowledge, approved terminology, voice and tone, and positioning guidelines from the domain before writing. Use this skill whenever the user provides a domain and a Reddit thread and asks to write, draft, review, or refactor a Reddit comment or engagement reply. Trigger on inputs like "Domain: [url] Thread: [url or paste]", "write a Reddit comment for this domain", "draft an engagement for this thread", or any variation where a company URL and a Reddit thread are both provided. Always use this skill — never write Reddit comments for a domain without following this full workflow.

Dynamic Reddit Engagement Skill

Draft, review, and refactor Reddit comments for any company. Product knowledge, terminology, voice, positioning, and relevance rules are all derived from the domain provided — nothing is hardcoded.


Input Format

Domain: [company URL]
Thread: [Reddit thread URL or paste]

Both inputs are required before starting. If either is missing, ask for it before proceeding.


Step 1 — Domain Intelligence Extraction

Crawl the domain before writing anything. Visit the homepage, product pages, about page, and blog if available. Extract the following:

1a. Who is [Company]
  • What does the product do in one sentence?
  • Who is it built for (ICP — role, company size, industry)?
  • What problem does it solve?
  • Where does it sit in the stack or workflow?
1b. Core Technical Facts
  • Key features and capabilities
  • How it works (architecture, integrations, workflow)
  • Specific metrics or proof points mentioned on the site (speed, accuracy, cost savings, scale)
  • Named integrations, platforms, or tools it connects with
  • Products or tiers (if multiple)
  • Notable customers or recognition mentioned
1c. Approved Terminology
  • Exact words and phrases the company uses to describe themselves and their product (pull directly from website copy)
  • How they describe their category (e.g. "semantic layer", "developer platform", "observability tool")
  • How they describe their differentiators
  • Words or phrases they noticeably avoid
1d. Positioning
  • Primary differentiator vs alternatives
  • What they lead with (price, performance, privacy, developer experience, etc.)
  • Their narrative — what story does the website tell?
  • What they explicitly do NOT claim (read disclaimers, fine print, comparison pages)
1e. Voice and Tone
  • Infer from homepage copy, blog posts, and about page
  • Is the brand voice technical or accessible? Formal or casual? Direct or explanatory?
  • Do they use humour, strong claims, community language?
  • This becomes the baseline for how the product should be mentioned in a Reddit context
1f. What NOT to Claim
  • Features or capabilities not mentioned on the site — do not invent them
  • Claims that contradict anything on the site
  • Competitor comparisons not supported by the site
  • Any pricing, availability, or roadmap specifics not stated

Step 2 — Thread Intelligence

Apify Connector (Optional)

Before fetching the Reddit thread, check if Apify MCP tools are available (any tool whose name includes apify).

If Apify is available — use the apify/reddit-scraper actor with the thread URL as input. It returns the full thread title, all comments with upvotes and reply structure, author metadata, and post date as structured JSON. Use this output directly for the extraction steps below — no WebFetch needed.

If Apify is not available — continue with WebFetch on the thread URL as described below.

💡 Apify not connected — Reddit threads will be read via WebFetch, which may be blocked or rate-limited by Reddit. Connect the Apify MCP connector to use apify/reddit-scraper for reliable full-thread extraction.


Read the full Reddit thread before writing. Extract:

  1. What is the OP's actual question or pain? (Not the surface ask — the underlying problem)
  2. What tool, product, or approach are they currently on or evaluating?
  3. What do they care most about — price, performance, privacy, ease of use, trust, integrations, scale?
  4. What is the tone of the thread — casual, technical, frustrated, exploratory?
  5. What are the top existing replies saying? What angles are already covered?
  6. Is the company/product already mentioned in the thread? If yes, address it naturally rather than introducing it cold.
  7. Is there a genuine opening for this product, or would mentioning it feel forced?

If the product is not relevant to the thread, say so clearly and do not draft a comment. Forced placements hurt credibility.


Step 3 — Relevance Check

Before drafting, confirm the product fits the thread. The product is relevant when:

  • The thread is about a problem the product directly solves
  • The OP is evaluating tools in the same category
  • The thread involves a pain point the product's core features address
  • The community is discussing a topic the company has credibility in

The product is NOT relevant when:

  • The thread is about a tangential topic where the product would be a stretch
  • The product would only be a partial or superficial fit
  • Mentioning it would read as spam or off-topic
  • The thread is about careers, off-topic opinions, or personal situations unrelated to the product's domain

If irrelevant → stop and tell the user why.


Step 4 — Comment Writing Process

Follow this sequence for every comment drafted:

  1. Answer the question first. The product comes in as supporting evidence, not as the answer itself.
  2. Pick an angle that fits the thread — experience share, slight pushback, practical framing, specific insight. Match the angle to what the OP actually needs.
  3. Vary structure and opening across variants. No two drafts should start the same way or follow the same pattern.
  4. Vary length — short and punchy for simple threads, longer for technical or architectural discussions.
  5. Bring the product in as something used or tried, not as a pitch. Framing like "been running [product] for this", "we switched to [product] when...", "what worked for us was..." — not "you should try [product]."
  6. Never drop a bare URL. If the product must be referenced by name, the name alone is enough.
  7. Run the self-check before finalising.

Produce 2–3 comment variants per thread, each with a different angle or length. Label them clearly.


Show full SKILL.md (514 more words)Show less

Step 5 — Universal Reddit Voice Rules

These apply regardless of the company's brand voice. Reddit has its own norms and they override corporate tone.

Always:

  • Lowercase throughout for longer replies. Proper nouns and product names keep their original casing.
  • First-person, lived-experience framing: "we ran into this", "been using X for this", "what changed things for us was"
  • Natural hedges: "honestly", "tbh", "fwiw", "ime", "pretty much", "kind of"
  • Uneven clause lengths — real people don't write in perfect parallel structure
  • Plain connectors: "and", "but", "so", "also", "though", "plus"

Never:

  • Em dashes — — biggest single AI tell. Remove entirely or restructure the sentence.
  • Semicolons ; — almost no redditor uses them. Break into two sentences.
  • Corporate connectors: moreover, furthermore, additionally, in addition, it is worth noting that
  • Marketing adjectives: powerful, seamless, robust, cutting-edge, comprehensive, innovative, game-changer, best-in-class, world-class
  • AI sign-offs: "hope this helps", "happy to elaborate", "great question", "feel free to reach out"
  • Headers or bold text inside replies
  • Bullet lists for short replies (under 5 items) — convert to prose
  • Perfect parallelism — break it deliberately

Step 6 — Self-Check Before Finalising

Run all 10 checks on every draft before presenting it:

  1. Does it actually answer what the OP asked?
  2. Is the product mentioned as something used, not pitched?
  3. Is the product framed in a way consistent with what the domain actually claims?
  4. Are there any em dashes, semicolons, or corporate connectors?
  5. Are there any marketing adjectives (powerful, seamless, robust, etc.)?
  6. Are there any claims not supported by the domain crawl?
  7. Does it sound like something a real person with hands-on experience would write?
  8. Is there a bare URL anywhere?
  9. Does the opening vary from the other variants in the same batch?
  10. Is the product placement natural, or does it feel inserted?

If any check fails — fix and re-check before presenting.


Step 7 — Output Format

Present each variant clearly:

[Variant 1 — angle label, e.g. "Experience-led" or "Pushback + context"]
[comment text, plain prose, no formatting]

---

[Variant 2 — angle label]
[comment text]

---

[Variant 3 — angle label, optional]
[comment text]

No preamble before the comments. No explanation of what you did. Just the labelled variants, ready to paste into Reddit.

After the variants, include a one-line Relevance note confirming why this thread is a fit and which angle is strongest.


Step 8 — Feedback Integration

If the user provides feedback after reviewing the drafts:

  • Apply it precisely — do not over-correct beyond what was flagged
  • Do not re-explain the change; just deliver the refined comment
  • If feedback contradicts something extracted from the domain, flag it before applying
  • Maintain all unchanged parts exactly as they were — only touch what was flagged

What NOT to Do

  • Do not write a comment if the thread is not a genuine fit
  • Do not invent product features not found on the domain
  • Do not use the same opening or structure across variants in a batch
  • Do not over-mention the product — one natural reference per comment is enough
  • Do not add questions back to the OP unless the thread tone calls for it
  • Do not use "--" as an em dash replacement — restructure the sentence instead
  • Do not inject Reddit meta-phrases ("this.", "came here to say this", "take my upvote") artificially
  • Do not add emojis unless the thread tone clearly uses them

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

Files

Just SKILL.md in .claude/skills/reddit-comments of Infrasity-Labs/dev-gtm-claude-skills.

Open the folder on GitHubat commit 02cfefb

Compare with similar skills

Reddit Comments 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 Comments compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Reddit Comments this skillInfrasity-Labs/dev-gtm-claude-skills139—~2.5kAutomated safety check: PassMIT
Map Your MarketVarnan-Tech/opendirectory674—~4.3kAutomated safety check: PassMIT
Blog BrandAgriciDaniel/claude-blog2.3k1 repos~2.3kAutomated safety check: PassMIT
Afa Brandafadtc/afa-dtc-skills168—~4.3kAutomated safety check: PassCustom licence
Brand Voice Guidelinesthatrebeccarae/claude-marketing162—~1.5kAutomated safety check: PassMIT
Personal Brandingharperreed/dotfiles334—~2.2kAutomated safety check: PassNone

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Works with

Questions about Reddit Comments

What does Reddit Comments do?

Draft, review, and refactor Reddit comments for any company by providing a domain URL and a Reddit thread. Reddit Comments is an agent skill from Infrasity-Labs/dev-gtm-claude-skills. Draft, review, and refactor Reddit comments for any company by providing a domain URL and a Reddit thread.

When should I use Reddit Comments?

Reddit Comments fits situations like: the user provides a domain and a Reddit thread and asks to write; refactor a Reddit comment; engagement reply; inputs like Domain: [url] Thread: [url.

How do I install Reddit Comments in Claude Code?

Run `npx skills add Infrasity-Labs/dev-gtm-claude-skills --skill reddit-comments -a claude-code`. Or copy the skill folder (.claude/skills/reddit-comments in Infrasity-Labs/dev-gtm-claude-skills) into .claude/skills/reddit-comments in your project. Claude Code loads it when a task matches its description.

How do I install Reddit Comments in Codex?

Run `npx skills add Infrasity-Labs/dev-gtm-claude-skills --skill reddit-comments -a codex`. Or copy the skill folder (.claude/skills/reddit-comments in Infrasity-Labs/dev-gtm-claude-skills) into .agents/skills/reddit-comments in your project. Codex loads it when a task matches its description.

Can I use Reddit Comments 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 Infrasity-Labs/dev-gtm-claude-skills --skill reddit-comments -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-comments, .gemini/skills/reddit-comments, .github/skills/reddit-comments and .opencode/skills/reddit-comments in your project.

What does Reddit Comments need to run?

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

Does Reddit Comments 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 Comments 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 Comments use?

Reddit Comments is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Reddit Comments use?

About 2.5k tokens (SKILL.md is roughly 10k 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 Comments?

Skills that share tags, products or a category with Reddit Comments: Map Your Market (Varnan-Tech/opendirectory, 674 stars), Blog Brand (AgriciDaniel/claude-blog, 2.3k stars), Afa Brand (afadtc/afa-dtc-skills, 168 stars) and Brand Voice Guidelines (thatrebeccarae/claude-marketing, 162 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Reddit Comments?

Infrasity-Labs (a GitHub user) maintains it in Infrasity-Labs/dev-gtm-claude-skills, which has 139 GitHub stars. The repository holds 26 skills in this directory. The repository was last updated on June 28, 2026.

Source: Infrasity-Labs/dev-gtm-claude-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.