linkedin-infographics

linkedin-infographics is a skill for Claude Code from matteotitta/genesys-skills. It costs 22 tokens per session (2,078 once invoked), scanned A, original, MIT.

A workflow for turning a real idea or framework into a LinkedIn infographic and its accompanying text post. It treats the visual as the main piece and the caption as support.

In plain words
What is it for?
It helps plan LinkedIn infographics, carousels, visual frameworks, captions, and Canva canvas content for a defined audience and goal.
Why use it?
It helps organize the message and layout of visual educational content before writing the accompanying post.

Skill for Claude Code

Written for Claude Code: effort in frontmatter. Also seen: reads .claude/ paths.

Good fit It helps plan LinkedIn infographics, carousels, visual frameworks, captions, and Canva canvas content for a defined audience and goal.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/matteotitta/genesys-skills/linkedin-infographics
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 matteotitta/genesys-skills --skill linkedin-infographics
Clone the repo
git clone --depth 1 https://github.com/matteotitta/genesys-skills

Made for: Claude Code.

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 linkedin-infographics

README.md
[![agentmods](https://agentmods.dev/badge/skills/matteotitta/genesys-skills/linkedin-infographics/github.svg)](https://agentmods.dev/skills/matteotitta/genesys-skills/linkedin-infographics)
Your own site
<a href="https://agentmods.dev/skills/matteotitta/genesys-skills/linkedin-infographics"><img src="https://agentmods.dev/badge/skills/matteotitta/genesys-skills/linkedin-infographics/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 linkedin-infographics

Your own site · 80×15
<a href="https://agentmods.dev/skills/matteotitta/genesys-skills/linkedin-infographics"><img src="https://agentmods.dev/badge/skills/matteotitta/genesys-skills/linkedin-infographics.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 22 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,078 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 $0.00022 $0.02078
Opus 5 $0.00011 $0.01039
Sonnet 5 $0.00004 $0.00416
Haiku 4.5 $0.00002 $0.00208

Measured 9d ago against content hash 292d581ee4fa, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

linkedin-infographics 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 9d 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.

skills/primitives/social/linkedin/linkedin-infographics/SKILL.md · 96 lines

How it starts

The opening of the file, as written. The whole thing — 96 lines — stays where its author put it; the contents beside it link to each section on GitHub.

LinkedIn Infographics

Visual framework + accompanying text post. Infographic FIRST, text second — text exists to lift up the graphic. Source: Vince Pierri Cohort + Nick Broekema April 2026 coaching.

Doctrine inherited (Step 7 — 0626 rollout, locked 2026-06-04)

Output complies with output-tenets.md, output-simplicity.md, ai-speak-anti-patterns.md, design-production.md. Step 6 calibration: see [[feedback_execution_doctrine_refinements_step6]].

Refinements applied: R1 (infographic visual + caption is end-customer-facing — no source tags), R3 (caption + frame text capability-led), R6 (close = sign-up primary or DM, never engagement-farming), R9 (visual-frame headings verb-led).

When to run

User says "infographic", "carousel", "visual framework", "LinkedIn graphic", or "visualise this framework". Has a real framework or concept (not invented). Don't run for text-only posts (use linkedin-content) or comments (use linkedin-comment).

Inputs

Required: framework/concept to visualize, target ICP, goal (attract buyers / establish authority / drive saves). Optional: visual style, real proof points, contrarian angle, brand guidelines. Verify any metrics provided are real — never invent. If missing → ask for framework + audience + goal. Full validation checklist in the premium reference.

Steps

  1. Read DESIGN.md at projects/consulting/{client}/brand/{MMYY}-brand-kit.md. Token frontmatter is source of truth for every visual element. If absent → pause and recommend /brand-kit. Authority: .claude/rules/design-production.md. For Genesys personal-brand infographics, the render substrate is the genesys-design skill (.claude/skills/primitives/design/genesys-design/) — start from its ui_kits/infographic/index.html template + colors_and_type.css tokens (the CSS binding of Genesys brand/0626-brand-kit.md) to output a real branded HTML artifact, not only a Canva brief.
  2. Phase 1 — Framework clarity. Define core insight ("[Audience] thinks X, but actually Y"), blind spot ("Most [audience] believe [status quo]. This is wrong because [reason]"), outcome ("By doing X, [audience] achieves Y"). Templates in the premium reference.
  3. Phase 2 — Visual design (infographic FIRST). Pick format from the premium reference (process flow, comparison, matrix, stack flow, nested circles, timeline, diagram, table). We're building visual frameworks that show INTERRELATIONSHIPS through shapes — not text in boxes. Shapes communicate without words: concentric circles = hierarchy, Venn = combination, spectrum = range.
  4. Apply Three S's threshold. Substance (would they print it?) ≥3, Structure (do shapes communicate meaning?) ≥3, Style (will it signal traction?) ≥3. If any ≤2, reconsider. Full rubric in the premium reference.
  5. Apply Nick's April 2026 gates. (a) Teach HOW not just WHAT — every element has micro-problem + tactical verb + DIY-this-week action. (b) Title leads with "How to…" or temporal transition (from X to Y allowed; proper-noun-only titles fail). (c) NO X-not-Y anywhere — sweep every card, band, strip; require 12/12+ rows pass. (d) Foundation strip = positive declarative principle. (e) Bottom strip = save + repost + pipeline CTA (no engagement Qs, no off-ecosystem links). (f) Named framework as watermark, not title.
  6. Build visual brief with token-cited spec. Quote exact DESIGN.md token values for every color/type/shape (colors.primary, typography.headline-md, rounded.lg, spacing.lg). Include token-derived spec table for production tool. One primary color per visual. Two font weights max. Brand's rounded.* scale only.
  7. Write in-graphic copy. Headline 5-8 words. Subhead explains what this teaches. Labels 1-3 words. Annotations brief. 2-3 font sizes max. High contrast. Test mobile readability at 50% zoom.
  8. Phase 3 — Text post (post supports graphic). Hook structure: hook → misconception bullets → tease named framework → teach → optional CTA.
  9. Hook — use replacement opener (NOT legacy Great Switcheroo X-not-Y). Pick one: (a) Temporal transition — "Most PMM research happens once. Then it sits in a Notion doc until the rebrand." (b) Cost-of-inaction — "Three things in your PMM stack are decaying right now: [X], [Y], [Z]." (c) First-person proof — "Last quarter I re-ran a client's full positioning, messaging, ICP, and competitor refresh in 4 hours." Reference: 0426-pmm-os-post.md. Legacy Great Switcheroo formula in the premium reference (historical only).
  10. Misconception bullets (3-5). "You might think it's about: → [assumption 1] → [assumption 2] → [assumption 3]. It's not." Each bullet 2-5 words. All plausible but wrong.
  11. Tease the named framework. "The X Rule" / "The Art of X" / "The X Model" / "The X Spectrum". Makes it feel official, creates curiosity.
  12. Teach (3-5 short sentences). Reference the visual ("See the graphic for the full breakdown"). Don't repeat — drive them to the graphic.
  13. CTA optional. If used: engaging question, invite experience. Avoid "DM me", "Follow for more", "Like if you agree". Many high-performers have NO CTA.
  14. Self-evaluate. Visual clear in 3s? Mobile-readable? Dense-to-save + scannable-to-assess? Hook uses approved opener? Named framework feels official? Text drives TO the graphic, doesn't repeat it? Full checklist in the premium reference.
  15. Present at Review Gate 3 (deep review). Output: infographic brief (with token-cited spec table) + 3 hook options + complete text post. Anti-hallucination: never invent metrics, case studies, or frameworks — mark as [PLACEHOLDER: need real data].

Read the full file on GitHub · 96 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. 9d ago First seen · 96 lines · 87 tokens per session scan A 292d581ee4fa

Subscribe to this mod's changes

linkedin-infographics is a skill published in the GitHub repository matteotitta/genesys-skills (36 stars, last pushed 1mo ago), licensed MIT. It adds 22 tokens to every session and 2,078 once invoked, about $0.0001 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 2026-09-03.

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