pin-strategist

pin-strategist is a skill for Claude Code from EditorialOS/pinterest-marketing-strategist. It costs 53 tokens per session (2,987 once invoked), scanned A, original, Apache-2.0.

A method for creating Pinterest pins by pairing approved brand images with written copy and search terms. Pinterest is a visual search engine where people discover ideas, products, and plans.

In plain words
What is it for?
Use it to generate pin ideas, match images to concepts, write titles and descriptions, choose boards, and target Pinterest searches.
Why use it?
It helps avoid attractive images that do not match what people search for. It organizes the image, wording, board placement, and search targeting into a finished pin for review.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the pinterest-marketing-strategist plugin — 3 skills, 3 commands, 1 MCP server shipped together

Good fit Use it to generate pin ideas, match images to concepts, write titles and descriptions, choose boards, and target Pinterest searches.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/editorialos/pinterest-marketing-strategist/pin-strategist
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 EditorialOS/pinterest-marketing-strategist --skill pin-strategist
Clone the repo
git clone --depth 1 https://github.com/EditorialOS/pinterest-marketing-strategist

Made for: Claude Code.

Or install pinterest-marketing-strategist, the plugin that ships this one along with the rest of its 3 skills, 3 commands, 1 MCP server.

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 pin-strategist

README.md
[![agentmods](https://agentmods.dev/badge/skills/editorialos/pinterest-marketing-strategist/pin-strategist/github.svg)](https://agentmods.dev/skills/editorialos/pinterest-marketing-strategist/pin-strategist)
Your own site
<a href="https://agentmods.dev/skills/editorialos/pinterest-marketing-strategist/pin-strategist"><img src="https://agentmods.dev/badge/skills/editorialos/pinterest-marketing-strategist/pin-strategist/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 pin-strategist

Your own site · 80×15
<a href="https://agentmods.dev/skills/editorialos/pinterest-marketing-strategist/pin-strategist"><img src="https://agentmods.dev/badge/skills/editorialos/pinterest-marketing-strategist/pin-strategist.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 53 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,987 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 $0.00053 $0.02987
Opus 5 $0.00026 $0.01494
Sonnet 5 $0.00011 $0.00597
Haiku 4.5 $0.00005 $0.00299

Measured 12d ago against content hash 2c3efe15858f, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

pin-strategist 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.

skills/pin-strategist/SKILL.md · 250 lines

How it starts

The opening of the file, as written. The whole thing — 250 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Pin Strategist — Composed Pin Methodology

Purpose

Turn brand documents and approved images into composed Pinterest pins ready to review and post. Pinterest is a visual search engine — this skill optimizes for search intent first, image-copy pairing second, and brand voice third. That order matters. The output is a finished product, not a concept deck.

Core Principle

Pinterest is not social media. It's a visual search engine where people plan purchases, trips, projects, and decisions. Users arrive with intent. Every pin must answer a search query with a compelling image-copy combination. A beautiful image with no search relevance gets zero impressions. A well-targeted pin with a matched image gets discovered for months.

The FAZ model applies: content in, finished product out, human quality gate, publish. The human reviews composed pins. Everything upstream — concept generation, image matching, copy writing, board assignment — is automated.

How Pinterest Discovery Works

Search weight: Pinterest ranks pins by keyword relevance in title, description, and alt text. Title keywords carry the most weight. Front-loading is not optional.

Visual ranking: Pinterest's algorithm evaluates image quality, orientation, and freshness. Vertical images get more feed space. High-contrast, well-lit images rank higher. Duplicate images get deprioritized.

Save signals: Saves compound. One save leads to impressions for similar audiences. Save rate is the most important engagement metric.

Freshness factor: New images with new URLs get priority distribution. Reuploading the same image to the same URL gets deprioritized. Each pin in a batch must use a different image.

Domain authority: Pins from consistently active, trusted domains get higher initial distribution.

Content lifespan: Average pin lifespan is 3-4 months. Top pins drive traffic for years. This makes Pinterest the highest-ROI channel per unit of effort — every pin is a long-term asset.

Read the full file on GitHub · 250 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 · 250 lines · 53 tokens per session scan A 2c3efe15858f

Subscribe to this mod's changes

pin-strategist is a skill published in the GitHub repository EditorialOS/pinterest-marketing-strategist (2 stars, last pushed 2mo ago), licensed Apache-2.0. It adds 53 tokens to every session and 2,987 once invoked, about $0.0003 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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