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Agent skill

Answer Linkedin Comments

by Othmane-Khadri in Othmane-Khadri/YALC-the-GTM-operating-system

Reply to comments on a LinkedIn post via Unipile — drafts thread-aware replies grounded in the user's voice and the conversation context, then sends on approval.

MITAuto-check: notesWriting & Content

Install Answer Linkedin Comments

skills CLI
$ npx skills add Othmane-Khadri/YALC-the-GTM-operating-system --skill answer-linkedin-comments -a claude-code

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

GitHub CLI
$ gh skill install Othmane-Khadri/YALC-the-GTM-operating-system answer-linkedin-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/Othmane-Khadri/YALC-the-GTM-operating-system.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.claude/skills/answer-linkedin-comments .claude/skills/answer-linkedin-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
answer-linkedin-comments
GitHub stars
317
Token cost
~551 tokens
SKILL.md length
216 words
Files
2 (incl. references)
Skills in repo
57
Repo updated
First seen
Licence
MIT

At a glance

Reply to comments on a LinkedIn post via Unipile — drafts thread-aware replies grounded in the user's voice and the conversation context, then sends on approval.

  • Works in 7 steps: Ask for the LinkedIn post URL → Validate URL → Shell out to draft → …
  • The user says answer comments on my post
  • SKILL.md covers When This Skill Applies, Workflow and Notes
  • Calls npx

What it does

Answer Linkedin Comments is an agent skill from Othmane-Khadri/YALC-the-GTM-operating-system. Reply to comments on a LinkedIn post via Unipile — drafts thread-aware replies grounded in the user's voice and the conversation context, then sends on approval. Use when the user says 'answer comments on my post', 'reply to LinkedIn comments', 'respond to engagement on this post', 'draft replies to commenters', or 'answer the LinkedIn thread'. Side-effecting — calls Unipile to read + post replies.

Its SKILL.md is about 550 tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files, including reference files (for example `references/example-output.md`).

It sits in Writing & Content, covering Social media posts. It works with LinkedIn. The repository describes itself as: YALC 1.0, the open-source Clay alternative. MIT, CLI-first, self-hosted, runs in Claude Code. Yalc today is an intelligent orchestration layer that runs pre configured GTM agents…. The licence is MIT.

When your agent uses it

  • The user says answer comments on my post
  • Reply to LinkedIn comments
  • Respond to engagement on this post
  • Draft replies to commenters

Example prompts

  • “answer comments on my post”
  • “reply to LinkedIn comments”
  • “respond to engagement on this post”
  • “/answer-linkedin-comments”

Requirements

  • Node.js

Workflow steps

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

  1. Ask for the LinkedIn post URL
  2. Validate URL
  3. Shell out to draft
  4. Render the drafts
  5. Ask for approval per comment OR bulk
  6. Shell out to send (if approved)
  7. Render send result

What it can do on your machine

Read from SKILL.md and the folder at commit 5686d1f. 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

    Shell commands in SKILL.md call:

    • npx

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

  • Network

    No URLs in SKILL.md. Its commands use npx, which can reach the network depending on how they are called.

    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

Answer Linkedin Comments loads about 551 tokens when it runs, and up to ~800 if it reads all its reference files. Until then it costs about 107 tokens; SKILL.md has 216 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~107
When it runs · the whole SKILL.md, loaded when a task matches
~551
With references · SKILL.md plus every file in references/, read only if the agent opens them
~800

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: notes

The automated check noted patterns worth knowing about, such as sudo or a known installer.

  • NoteMentions a .env fileSKILL.md:36
    cd ~/Desktop/gtm-os && set -a && source .env.local && set +a && \

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 Othmane-Khadri/YALC-the-GTM-operating-system at commit 5686d1f, republished under its MIT licence (© Othmane-Khadri). 216 words, ~551 tokens.

Download SKILL.mdSave it as .claude/skills/answer-linkedin-comments/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.
name
answer-linkedin-comments
description
Reply to comments on a LinkedIn post via Unipile — drafts thread-aware replies grounded in the user's voice and the conversation context, then sends on approval. Use when the user says 'answer comments on my post', 'reply to LinkedIn comments', 'respond to engagement on this post', 'draft replies to commenters', or 'answer the LinkedIn thread'. Side-effecting — calls Unipile to read + post replies.
version
1.0.0

Answer LinkedIn Comments

I'll wrap linkedin:answer-comments. Take a post URL, fetch comments via Unipile, draft replies in the user's voice, ask for approval, and send on yes.

When This Skill Applies

  • "answer comments on my post"
  • "reply to LinkedIn comments"
  • "respond to engagement on this post"
  • "draft replies to commenters"
  • "answer the LinkedIn thread"

NOT this skill (use scrape-post-engagers instead):

  • "scrape the engagers off this post" — that produces a result set; this skill produces replies.

NOT this skill (use personalize-message instead):

  • "draft a DM to this commenter" — DM is one-to-one; this skill is for the public thread.

Workflow

Step 0 — Ask for the LinkedIn post URL

"What's the LinkedIn post URL with comments to answer?"

Step 1 — Validate URL
Step 2 — Shell out to draft
bash
cd ~/Desktop/gtm-os && set -a && source .env.local && set +a && \
  npx tsx src/cli/index.ts linkedin:answer-comments --url <url> --draft-only

(Verify exact flag via --help. The skill always drafts first, then asks before sending.)

Step 3 — Render the drafts

Show each comment + its drafted reply.

Step 4 — Ask for approval per comment OR bulk

"Send all? (yes / approve some / cancel)"

Step 5 — Shell out to send (if approved)
bash
npx tsx src/cli/index.ts linkedin:answer-comments --url <url> --approved <ids>
Step 6 — Render send result

Notes

  • Replies use the brand voice from ~/.gtm-os/brand-voice.yaml if present; otherwise defaults to a neutral conversational tone.
  • The CLI never auto-sends without --approved. Drafts always render to chat first.
  • Skips comments from the post author themselves (no self-replies).

© Othmane-Khadri, 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 (references) in .claude/skills/answer-linkedin-comments of Othmane-Khadri/YALC-the-GTM-operating-system.

  • SKILL.md
  • references/example-output.md

Open the folder on GitHubat commit 5686d1f

Compare with similar skills

Answer Linkedin 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.

Answer Linkedin Comments compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Answer Linkedin Comments this skillOthmane-Khadri/YALC-the-GTM-operating-system317—~551Automated safety check: NotesMIT
Socialcoreyhaines31/marketingskills54k4 repos~4.5kAutomated safety check: PassMIT
Social Contentfreekmurze/dotfiles1k23 repos~2.1kAutomated safety check: PassNone
Linkedin Marketingsergebulaev/linkedin-skills4.3k1 repos~3.2kAutomated safety check: NotesMIT
Typefullyfreekmurze/dotfiles1k2 repos~3.4kAutomated safety check: NotesNone
Linkedin Content Plannersergebulaev/linkedin-skills4.3k1 repos~2.1kAutomated safety check: PassMIT

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Works with

Categories

Questions about Answer Linkedin Comments

What does Answer Linkedin Comments do?

Reply to comments on a LinkedIn post via Unipile — drafts thread-aware replies grounded in the user's voice and the conversation context, then sends on approval. Answer Linkedin Comments is an agent skill from Othmane-Khadri/YALC-the-GTM-operating-system. Reply to comments on a LinkedIn post via Unipile — drafts thread-aware replies grounded in the user's voice and the conversation context, then sends on approval.

When should I use Answer Linkedin Comments?

Answer Linkedin Comments fits situations like: the user says answer comments on my post; reply to LinkedIn comments; respond to engagement on this post; draft replies to commenters.

How do I install Answer Linkedin Comments in Claude Code?

Run `npx skills add Othmane-Khadri/YALC-the-GTM-operating-system --skill answer-linkedin-comments -a claude-code`. Or copy the skill folder (.claude/skills/answer-linkedin-comments in Othmane-Khadri/YALC-the-GTM-operating-system) into .claude/skills/answer-linkedin-comments in your project. Claude Code loads it when a task matches its description.

How do I install Answer Linkedin Comments in Codex?

Run `npx skills add Othmane-Khadri/YALC-the-GTM-operating-system --skill answer-linkedin-comments -a codex`. Or copy the skill folder (.claude/skills/answer-linkedin-comments in Othmane-Khadri/YALC-the-GTM-operating-system) into .agents/skills/answer-linkedin-comments in your project. Codex loads it when a task matches its description.

Can I use Answer Linkedin 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 Othmane-Khadri/YALC-the-GTM-operating-system --skill answer-linkedin-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/answer-linkedin-comments, .gemini/skills/answer-linkedin-comments, .github/skills/answer-linkedin-comments and .opencode/skills/answer-linkedin-comments in your project.

What does Answer Linkedin Comments need to run?

Going by SKILL.md and its folder, Answer Linkedin Comments needs the command-line tools its instructions call (npx). Our summary lists: Node.js.

Does Answer Linkedin Comments access the network?

SKILL.md contains no URLs. Its commands use npx, which can reach the network depending on how they are called. This is read from the text; nothing was executed.

Is Answer Linkedin Comments safe to install?

Our automated static check of SKILL.md found notes only (mentions a .env file), nothing it rates as a warning. It is not a guarantee. Review the folder before installing.

What licence does Answer Linkedin Comments use?

Answer Linkedin 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 Answer Linkedin Comments use?

About 551 tokens (SKILL.md is roughly 2.2k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 249 tokens, read only when the agent opens those files.

What are the alternatives to Answer Linkedin Comments?

Skills that share tags, products or a category with Answer Linkedin Comments: Social (coreyhaines31/marketingskills, 54k stars), Social Content (freekmurze/dotfiles, 1k stars), Linkedin Marketing (sergebulaev/linkedin-skills, 4.3k stars) and Typefully (freekmurze/dotfiles, 1k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Answer Linkedin Comments?

Othmane-Khadri (a GitHub user) maintains it in Othmane-Khadri/YALC-the-GTM-operating-system, which has 317 GitHub stars. The repository holds 57 skills in this directory. The repository was last updated on August 20, 2026.

Source: Othmane-Khadri/YALC-the-GTM-operating-system on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.