Agent skill

Fullenrich Content Engagers

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

A skill your agent uses when the user says "enrich people who engaged with this post", "qualify post engagers with FullEnrich", "scrape and enrich LinkedIn post {URL}", "engagers from this post into…

MITAuto-check: warningsWriting & Content

Install Fullenrich Content Engagers

The automated check flagged lines worth reading first. See the safety section below.

skills CLI
$ npx skills add Othmane-Khadri/YALC-the-GTM-operating-system --skill fullenrich-content-engagers -a claude-code

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

GitHub CLI
$ gh skill install Othmane-Khadri/YALC-the-GTM-operating-system fullenrich-content-engagers --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/fullenrich-content-engagers .claude/skills/fullenrich-content-engagers && 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
fullenrich-content-engagers
GitHub stars
318
Token cost
~1.5k tokens
SKILL.md length
527 words
Files
13 (incl. scripts)
Skills in repo
57
Repo updated
First seen
Licence
MIT

At a glance

A skill your agent uses when the user says "enrich people who engaged with this post", "qualify post engagers with FullEnrich", "scrape and enrich LinkedIn post {URL}", "engagers from this post into…

  • Works in 5 steps: Always shows current balance before… → Always shows estimated cost of the run. → max-credits N ceiling (default 500) —… → …
  • The user says enrich people who engaged with this post
  • SKILL.md covers When This Skill Applies, What This Skill Does NOT Do, Credit safety contract… and Prerequisites, plus 4 more sections
  • Runs JavaScript scripts from its folder; calls node; reaches docs.fullenrich.com and dashboard.unipile.com; needs FULLENRICH_API_KEY and UNIPILE_API_KEY

What it does

Fullenrich Content Engagers is an agent skill from Othmane-Khadri/YALC-the-GTM-operating-system. Use when the user says "enrich people who engaged with this post", "qualify post engagers with FullEnrich", "scrape and enrich LinkedIn post {URL}", "engagers from this post into a CSV", "enrich this CSV of leads", "FullEnrich content engagers", or any variant indicating they want to convert a list of leads — either LinkedIn post likers/commenters scraped via Unipile, or a bring-your-own CSV — into ICP-qualified, enriched leads via FullEnrich v2 bulk enrichment with webhook callback delivery.

Its SKILL.md is about 1.5k tokens, which your agent loads only when the skill is triggered. The skill folder holds 16 other files, including scripts (for example `README.md`, `config/icp.json` and `package-lock.json`).

It sits in Writing & Content, covering CSV and tabular files, Social media posts and Web scraping. 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 enrich people who engaged with this post
  • Qualify post engagers with FullEnrich
  • Scrape and enrich LinkedIn post {URL}
  • Engagers from this post into a CSV

Example prompts

  • “enrich people who engaged with this post”
  • “qualify post engagers with FullEnrich”
  • “scrape and enrich LinkedIn post {URL}”
  • “/fullenrich-content-engagers”

Requirements

  • Node.js
  • A credential in FULLENRICH_API_KEY
  • A credential in UNIPILE_API_KEY

Workflow steps

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

  1. Always shows current balance before doing anything.
  2. Always shows estimated cost of the run.
  3. max-credits N ceiling (default 500) — auto-trims the contact list to fit.
  4. Hard-approval prompt — blocks on stdin until the user types yes. If stdin is not a TTY, the script aborts unless --yes is passed.
  5. dry-run mode — scrapes engagers + applies ICP without spending a credit.

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

    Ships 5 files in scripts/ (JavaScript), which the agent can run.

    Shell commands in SKILL.md call:

    • node

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

  • Network

    Hosts in commands or code, which the agent is likely to contact:

    • docs.fullenrich.com
    • dashboard.unipile.com
    • api18.unipile.com

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

  • Credentials

    Names these keys or tokens, usually read from environment variables:

    • FULLENRICH_API_KEY
    • UNIPILE_API_KEY

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

Context cost

Fullenrich Content Engagers loads about 1.5k tokens when it runs. Until then it costs about 131 tokens; SKILL.md has 527 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~131
When it runs · the whole SKILL.md, loaded when a task matches
~1.5k

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: warnings

The automated check found patterns that need a careful read before installing.

  • WarningMentions a paste, webhook or tunnelling service often used to send data outSKILL.md:65
    URL for FullEnrich callbacks; otherwise webhook.site fallback

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); the scripts in this folder 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). 527 words, ~1,458 tokens.

Download SKILL.mdSave it as .claude/skills/fullenrich-content-engagers/SKILL.md (or your agent's skills folder). This skill also uses 12 other files; get the full folder from GitHub.
name
fullenrich-content-engagers
description
Use when the user says "enrich people who engaged with this post", "qualify post engagers with FullEnrich", "scrape and enrich LinkedIn post {URL}", "engagers from this post into a CSV", "enrich this CSV of leads", "FullEnrich content engagers", or any variant indicating they want to convert a list of leads — either LinkedIn post likers/commenters scraped via Unipile, or a bring-your-own CSV — into ICP-qualified, enriched leads via FullEnrich v2 bulk enrichment with webhook callback delivery.
version
2.0.0

FullEnrich Content Engagers

One command turns a list of leads into a CSV of ICP-qualified prospects with verified work emails and phones. Two input modes:

  • URL mode — scrape engagers from a LinkedIn post via Unipile
  • CSV mode — bring your own list (any source: Sales Navigator export, PhantomBuster, Evaboot, manual paste, etc.)

Both modes converge on the same ICP filter + FullEnrich enrichment pipeline.

When This Skill Applies

  • "enrich people who engaged with this post {URL}"
  • "qualify post engagers with FullEnrich"
  • "scrape and enrich LinkedIn post {URL}"
  • "engagers from {URL} into a CSV"
  • "enrich this CSV of leads with FullEnrich"
  • "qualify and enrich leads.csv"

What This Skill Does NOT Do

  • Does not write outreach copy. Pair with personalize-message after.
  • Does not push to a CRM.
  • Does not spend credits without explicit user approval. See "Credit safety contract" below.

Credit safety contract (MANDATORY)

This skill spends FullEnrich credits, which cost real money. Safeguards:

  1. Always shows current balance before doing anything.
  2. Always shows estimated cost of the run.
  3. --max-credits N ceiling (default 500) — auto-trims the contact list to fit.
  4. Hard-approval prompt — blocks on stdin until the user types yes. If stdin is not a TTY, the script aborts unless --yes is passed.
  5. --dry-run mode — scrapes engagers + applies ICP without spending a credit.

When Claude invokes this skill on a user's behalf:

  1. ALWAYS run with --dry-run first to surface the engager count, ICP-pass count, and estimated cost.
  2. Quote the EXACT estimated credit cost back to the user.
  3. WAIT for explicit user confirmation before re-running without --dry-run.
  4. Only pass --yes to the script when the user has approved the spend in this conversation.
  5. Exception: respect locally modified scripts — the user took ownership.

Prerequisites

URL mode requires all four:

FULLENRICH_API_KEY=    # https://app.fullenrich.com/app/api
UNIPILE_API_KEY=       # https://dashboard.unipile.com
UNIPILE_DSN=           # e.g. https://api18.unipile.com:14891
UNIPILE_ACCOUNT_ID=    # the LinkedIn account ID under Unipile

CSV mode requires only:

FULLENRICH_API_KEY=

Optional (both modes):

FULLENRICH_WEBHOOK_URL=  # public URL for FullEnrich callbacks; otherwise webhook.site fallback
Show full SKILL.md (228 more words)Show less

Workflow

  1. Resolve input source
    • URL mode: resolve social_id via Unipile get-post, then list-post-comments + list-post-reactions.
    • CSV mode: parse --csv file, map columns (case-insensitive header aliases for first_name, last_name, linkedin_url, title, company, etc.).
  2. Dedupe — keyed on linkedin_url when present, otherwise first_name|last_name|company. Rows missing first_name AND (linkedin_url OR company) are dropped.
  3. Apply ICP filter — load config/icp.json (job-title regex, seniority allow-list, geo, company-size), score each contact 0–100, drop everything below the threshold.
  4. Estimate cost + confirm — show the cost preview, block on stdin for yes.
  5. Enrich — chunk into ≤100 contacts per FullEnrich bulk request with enrich_fields: ["contact.work_emails", "contact.phones"].
  6. Receive callbacks — webhook payloads land within ~30s per batch.
  7. Write outputs — qualified-engagers.csv (passed ICP + enriched) and qualified-engagers-disqualified.csv (failed ICP, kept for inspection).

CLI Reference

# URL mode
node scripts/run.mjs <linkedin-post-url-or-post-id> [flags]

# CSV mode
node scripts/run.mjs --csv path/to/leads.csv [flags]

Flags (shared):
    [--out path.csv]           # default qualified-engagers.csv
    [--icp config/icp.json]    # ICP rules file
    [--threshold 50]           # ICP minimum score (0-100)
    [--max <N>]                # URL mode: page cap. CSV mode: hard row cap. (default 500)
    [--max-credits <N>]        # hard credit ceiling (default 500)
    [--dry-run]                # filter + cost preview, no spending
    [--yes | -y]               # skip the interactive approval prompt

CSV column conventions

The parser accepts the most common header naming conventions case-insensitively. For each contact field, the first matching header wins:

Internal fieldAccepted CSV headers
first_namefirst_name, firstname, first name, given_name (or split from name / full_name)
last_namelast_name, lastname, last name, surname, family_name (or split from name / full_name)
linkedin_urllinkedin_url, linkedin, profile_url, linkedin profile, linkedin_profile_url
titletitle, job_title, headline, position, current_position
company_namecompany, company_name, current_company, organization, employer
domaindomain, company_domain, website

See examples/sample-leads.csv for a minimal working CSV.

Reference

  • Shared API client: ./scripts/lib/fullenrich-client.mjs
  • Shared webhook receiver: ./scripts/lib/fullenrich-webhook.mjs
  • Shared CSV writer: ./scripts/lib/csv.mjs
  • ICP config: config/icp.json (editable per use case)
  • FullEnrich v2 docs: https://docs.fullenrich.com/llms.txt

© 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 12 other files (scripts) in .claude/skills/fullenrich-content-engagers of Othmane-Khadri/YALC-the-GTM-operating-system.

  • SKILL.md
  • .env.example
  • .gitignore
  • README.md
  • config/icp.json
  • examples/sample-leads.csv
  • package-lock.json
  • package.json
  • scripts/icp.mjs
  • scripts/lib/csv.mjs
  • scripts/lib/fullenrich-client.mjs
  • scripts/lib/fullenrich-webhook.mjs
  • scripts/run.mjs

Open the folder on GitHubat commit 5686d1f

Compare with similar skills

Fullenrich Content Engagers 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.

Fullenrich Content Engagers compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Fullenrich Content Engagers this skillOthmane-Khadri/YALC-the-GTM-operating-system318—~1.5kAutomated safety check: WarnMIT
Competitor Engagersgrowthenginenowoslawski/coldoutboundskills753—~1.2kAutomated safety check: NotesMIT
Linkedin Engager Analyticssergebulaev/linkedin-skills4.4k1 repos~1.4kAutomated safety check: PassMIT
Post Scorercharlie947/social-media-skills3.8k—~2.4kAutomated safety check: PassMIT
Linkedin Comment To Outreachgethouston/houston118—~2.1kAutomated safety check: PassMIT
Linkedin Skillsalirezarezvani/claude-skills28k—~1.4kAutomated safety check: PassMIT

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Works with

Questions about Fullenrich Content Engagers

What does Fullenrich Content Engagers do?

A skill your agent uses when the user says "enrich people who engaged with this post", "qualify post engagers with FullEnrich", "scrape and enrich LinkedIn post {URL}", "engagers from this post into…. Fullenrich Content Engagers is an agent skill from Othmane-Khadri/YALC-the-GTM-operating-system. Use when the user says "enrich people who engaged with this post", "qualify post engagers with FullEnrich", "scrape and enrich LinkedIn post {URL}", "engagers from this post into a CSV", "enrich this CSV of leads", "FullEnrich content engagers", or any variant indicating they want to convert a list of leads — either LinkedIn post likers/commenters scraped via Unipile, or a bring-your-own CSV — into ICP-qualified, enriched leads via FullEnrich v2 bulk enrichment with webhook callback delivery.

When should I use Fullenrich Content Engagers?

Fullenrich Content Engagers fits situations like: the user says enrich people who engaged with this post; qualify post engagers with FullEnrich; scrape and enrich LinkedIn post {URL}; engagers from this post into a CSV.

How do I install Fullenrich Content Engagers in Claude Code?

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

How do I install Fullenrich Content Engagers in Codex?

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

Can I use Fullenrich Content Engagers 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 fullenrich-content-engagers -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/fullenrich-content-engagers, .gemini/skills/fullenrich-content-engagers, .github/skills/fullenrich-content-engagers and .opencode/skills/fullenrich-content-engagers in your project.

What does Fullenrich Content Engagers need to run?

Going by SKILL.md and its folder, Fullenrich Content Engagers needs JavaScript for the scripts in its folder, the command-line tools its instructions call (node) and credentials named FULLENRICH_API_KEY and UNIPILE_API_KEY. Our summary lists: Node.js; A credential in FULLENRICH_API_KEY; A credential in UNIPILE_API_KEY.

Does Fullenrich Content Engagers access the network?

SKILL.md names 3 domains. In commands or code: docs.fullenrich.com, dashboard.unipile.com and api18.unipile.com; the agent is likely to contact these when it follows the instructions. This is read from the text; nothing was executed.

Is Fullenrich Content Engagers safe to install?

Our automated static check of SKILL.md flagged 1 warning(s): mentions a paste, webhook or tunnelling service often used to send data out. Read the flagged lines before installing; the check is not a guarantee either way. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.

What licence does Fullenrich Content Engagers use?

Fullenrich Content Engagers 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 Fullenrich Content Engagers use?

About 1.5k tokens (SKILL.md is roughly 5.8k 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 Fullenrich Content Engagers?

Skills that share tags, products or a category with Fullenrich Content Engagers: Competitor Engagers (growthenginenowoslawski/coldoutboundskills, 753 stars), Linkedin Engager Analytics (sergebulaev/linkedin-skills, 4.4k stars), Post Scorer (charlie947/social-media-skills, 3.8k stars) and Linkedin Comment To Outreach (gethouston/houston, 118 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Fullenrich Content Engagers?

Othmane-Khadri (a GitHub user) maintains it in Othmane-Khadri/YALC-the-GTM-operating-system, which has 318 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.