seo-gaps-to-social-campaign

seo-gaps-to-social-campaign is a skill for Claude Code from seranking-planable/smm-skills. It costs 155 tokens per session (2,396 once invoked), scanned A, a copy of seo-gaps-to-social-campaign, MIT.

A workflow that turns search-engine opportunity data from SE Ranking into social media posts in Planable, a tool for creating, reviewing, and publishing posts.

In plain words
What is it for?
Use it to turn keyword gaps, competitor wins, ranking losses, question keywords, and new topic opportunities into a planned social campaign.
Why use it?
It connects what people search for with the social content you publish, so campaigns can address real search gaps instead of guesswork.

Skill for Claude Code

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

Part of the planable-smm plugin — 12 skills, 1 MCP server shipped together

Good fit Use it to turn keyword gaps, competitor wins, ranking losses, question keywords, and new topic opportunities into a planned social campaign.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/seranking-planable/smm-skills/seo-gaps-to-social-campaign
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 seranking-planable/smm-skills --skill seo-gaps-to-social-campaign
Clone the repo
git clone --depth 1 https://github.com/seranking-planable/smm-skills

Made for: Claude Code.

Or install planable-smm, the plugin that ships this one along with the rest of its 12 skills, 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 seo-gaps-to-social-campaign

README.md
[![agentmods](https://agentmods.dev/badge/skills/seranking-planable/smm-skills/seo-gaps-to-social-campaign/github.svg)](https://agentmods.dev/skills/seranking-planable/smm-skills/seo-gaps-to-social-campaign)
Your own site
<a href="https://agentmods.dev/skills/seranking-planable/smm-skills/seo-gaps-to-social-campaign"><img src="https://agentmods.dev/badge/skills/seranking-planable/smm-skills/seo-gaps-to-social-campaign/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 seo-gaps-to-social-campaign

Your own site · 80×15
<a href="https://agentmods.dev/skills/seranking-planable/smm-skills/seo-gaps-to-social-campaign"><img src="https://agentmods.dev/badge/skills/seranking-planable/smm-skills/seo-gaps-to-social-campaign.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 155 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,396 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 100% copy Near-identical to another mod 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 $0.00155 $0.02396
Opus 5 $0.00077 $0.01198
Sonnet 5 $0.00031 $0.00479
Haiku 4.5 $0.00015 $0.00240

Measured 12d ago against content hash 86e4fbc34fe4, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

seo-gaps-to-social-campaign 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.

Origin

This is a copy

100% identical to seo-gaps-to-social-campaign — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

skills/seo-gaps-to-social-campaign/SKILL.md · 111 lines

How it starts

The opening of the file, as written. The whole thing — 111 lines — stays where its author put it; the contents beside it link to each section on GitHub.

SEO gaps → social campaign

Connect SE Ranking (where the demand and the gaps live) to Planable (where content gets made, approved, and published). The goal is a focused social campaign whose every post is grounded in real search demand — not a generic brainstorm.

Prerequisites

  • SE Ranking MCP connected (Data API for research; a project is optional but unlocks ranking-loss detection).
  • Planable MCP connected, with the destination workspace and at least one connected page.
  • The user provides: target domain, market/country (default us), the Planable workspace, and ideally 1–3 competitor domains. Number of posts defaults to 6 if unspecified.

Connector health check

Before doing anything else, verify both MCPs are reachable:

Only continue to the process steps below once both calls return a successful response.

Process

1. Scope the campaign

Confirm: target domain, country, competitors (optional), the Planable workspace + which platforms, how many posts, and any campaign window. If the workspace is ambiguous, call list_workspaces and let the user pick — do not guess.

2. Discover opportunities in SE Ranking

Work sequentially (respect the Data API limit of ~10 requests/second). Save raw results as you go.

  • DATA_getDomainOverviewWorldwide + DATA_getDomainKeywords — the target's current footprint and best existing keywords. The target's own strong/striking-distance keywords are often the most on-brand campaign fuel, so mine these first.
  • DATA_getDomainCompetitors — confirm the real organic competitors (sort by shared keywords; take the top 3–5). Note: this call returns the full set and may be written to a file — read and parse it.
  • DATA_getDomainKeywordsComparison — the core gap list: keywords competitors rank for that the target does not. Filter to keep it useful (e.g. informational/commercial intent, volume > a sensible floor, difficulty the domain can realistically win). Then judge relevance, not just the numbers — competitor gap lists are noisy and surface off-brand junk (glossary entries, follower-farming terms like "free followers", unrelated blog tangents). Discard anything that isn't a topic the target could credibly post about; a high-volume term the brand has no business addressing is not an opportunity. If a strict filter returns almost nothing, loosen one threshold or try another competitor rather than forcing a campaign out of junk.
  • DATA_getRelatedKeywords + DATA_getKeywordQuestions — expansion terms and real questions people ask. Question keywords are gold for social hooks — they map directly to post openers. These endpoints often return only a handful of rows per seed, so query several seeds (3–5 core topics) and aggregate rather than trusting one; a seed returning 1–2 questions is normal, not a sign there's no demand.
  • DATA_getSerpResults for the 2–4 strongest themes — read the intent and the SERP features so the social angle matches what searchers actually want.
  • Ranking losses (if a project exists): call PROJECT_getPositionHistory (type avg_pos or visibility) to find terms that slipped. A recovering or slipping keyword is a strong "we have something to say" social trigger. If there is no project, skip this and rely on the gap analysis above.

Read the full file on GitHub · 111 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 · 111 lines · 155 tokens per session scan A 86e4fbc34fe4

Subscribe to this mod's changes

seo-gaps-to-social-campaign is a skill published in the GitHub repository seranking-planable/smm-skills (3 stars, last pushed 2mo ago), licensed MIT. It adds 155 tokens to every session and 2,396 once invoked, about $0.0008 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to seo-gaps-to-social-campaign, differing in 0 lines, and is treated as a copy.

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