gt-linkedin-content

gt-linkedin-content is a skill for Claude Code, Codex from Growth-Today/claude-skills. It costs 227 tokens per session (4,602 once invoked), scanned A, original, MIT.

A writing guide for organic LinkedIn posts aimed at business-to-business founders and go-to-market teams. It covers hooks, post structure, storytelling, formats, timing, comments, calls to action, and profile improvement.

In plain words
What is it for?
Use it to plan and write LinkedIn posts, opening lines, stories, calls to action, comment-based campaigns, posting schedules, and profile updates.
Why use it?
It helps turn an unclear LinkedIn writing task into a post suited to its audience, purpose, and stage in the buying journey.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: mentions Claude Code.

Good fit Use it to plan and write LinkedIn posts, opening lines, stories, calls to action, comment-based campaigns, posting schedules, and profile updates.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/growth-today/claude-skills/gt-linkedin-content
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add Growth-Today/claude-skills --skill gt-linkedin-content
Clone the repo
git clone --depth 1 https://github.com/Growth-Today/claude-skills

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for gt-linkedin-content

README.md
[![agentmods](https://agentmods.dev/badge/skills/growth-today/claude-skills/gt-linkedin-content/github.svg)](https://agentmods.dev/skills/growth-today/claude-skills/gt-linkedin-content)
Your own site
<a href="https://agentmods.dev/skills/growth-today/claude-skills/gt-linkedin-content"><img src="https://agentmods.dev/badge/skills/growth-today/claude-skills/gt-linkedin-content/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for gt-linkedin-content

Your own site · 80×15
<a href="https://agentmods.dev/skills/growth-today/claude-skills/gt-linkedin-content"><img src="https://agentmods.dev/badge/skills/growth-today/claude-skills/gt-linkedin-content.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 227 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 4,602 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00227 $0.04602
Opus 5 $0.00113 $0.02301
Sonnet 5 $0.00045 $0.00920
Haiku 4.5 $0.00023 $0.00460

Measured 12d ago against content hash 29f8968c8b27, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

gt-linkedin-content scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 12d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

gt-linkedin-content/SKILL.md · 318 lines

How it starts

The opening of the file, as written. The whole thing — 318 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Setup (once per session)

Find where this skill is installed before you load anything beneath it:

  1. Glob for **/gt-linkedin-content/SKILL.md.
  2. The folder that holds it is your SKILL_BASE.
  3. Sub-skills sit under {SKILL_BASE}/.claude/skills/{sub-skill}/gt-SKILL.md.
  4. Resources sit under {SKILL_BASE}/resources/....

Work out SKILL_BASE at runtime, do not bake in a fixed path.

LinkedIn Content Orchestrator

This skill helps B2B GTM teams build an audience and turn organic LinkedIn content into pipeline. Everything in it is anchored to what genuinely earns reach and comments in the GTM space, not generic social-media advice. Hand each request to whichever sub-skill (or few) fit it best, using the routing below.

Growth Today runs LinkedIn content as a service for B2B GTM teams. More open skills and guides: https://www.growthtoday.co/claude-skills


STEP 0: ALWAYS CLASSIFY FUNNEL STAGE FIRST

Before writing or recommending anything, decide which funnel stage it serves. The stage sets the formula, the hook, the CTA, and the metric you judge it by. Ask if it is unclear.

Stage Purpose Success Metric Frequency
ToF, Top of Funnel Grow audience, attract new followers, broad appeal Total reactions + reposts (reach) 1-2x/week max
MoF, Middle of Funnel Demonstrate expertise, make reader think "they know their stuff" Comment-to-reaction ratio (C/R) 3-4x/week, the workhorse
BoF, Bottom of Funnel Drive action: lead magnets, case study results, social proof Comments with intent signals 1-2x/week, requires real asset

Read each stage by its own metric: ToF by reach, MoF by the comment-to-reaction ratio (the expertise signal), BoF by comments that carry intent. Full detail in performance-playbook.md.


Sub-Skill Routing

User Intent Sub-Skill Path
Opening lines, scroll-stopping first lines, the see-more cutoff hooks Read {SKILL_BASE}/.claude/skills/hooks/gt-SKILL.md
Body structure, narrative frameworks, the Step 1/2/3 reveal storytelling Read {SKILL_BASE}/.claude/skills/storytelling/gt-SKILL.md
Choosing among single image, video, or poll, plus the specs for each formats Read {SKILL_BASE}/.claude/skills/formats/gt-SKILL.md
Timing, cadence, and the first-hour routine scheduling Read {SKILL_BASE}/.claude/skills/scheduling/gt-SKILL.md
Comment tactics, what engagement counts, dwell time, activity limits, community engagement Read {SKILL_BASE}/.claude/skills/engagement/gt-SKILL.md
Closing CTAs, P.S. types, the comment-gate cta Read {SKILL_BASE}/.claude/skills/cta/gt-SKILL.md
Profile work: headline, banner, about, featured, services, experience, recommendations profile Read {SKILL_BASE}/.claude/skills/profile/gt-SKILL.md
Reshaping one idea across formats, plus the creator tools repurposing Read {SKILL_BASE}/.claude/skills/repurposing/gt-SKILL.md
Producing or fixing a locked post's parts (hook, body, team body copy, P.S./CTA, engagement comments, alt text, formatting) post-production Read {SKILL_BASE}/.claude/skills/post-production/gt-SKILL.md
Turning a post into a design brief for its visual (structure plus fitted copy) design-briefer Read {SKILL_BASE}/.claude/skills/design-briefer/gt-SKILL.md

Read the full file on GitHub · 318 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 12d ago First seen · 318 lines · 227 tokens per session scan A 29f8968c8b27

Subscribe to this mod's changes

gt-linkedin-content is a skill published in the GitHub repository Growth-Today/claude-skills (3 stars, last pushed today), licensed MIT. It adds 227 tokens to every session and 4,602 once invoked, about $0.0011 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

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