seo-plan

seo-plan is a skill for Claude Code from indranilbanerjee/digital-marketing-pro. It costs 25 tokens per session (3,546 once invoked), scanned A, original, MIT.

A long-term SEO planning tool that turns audits and specialist findings into a 12-month strategy and phased work plan. It covers technical website health, content, subject coverage, and readiness for AI-driven search.

In plain words
What is it for?
Use it to create industry-specific SEO roadmaps, competitive analysis, content plans, and ordered implementation phases.
Why use it?
It brings scattered SEO findings together and makes the weakest area the main focus. This reduces the need to decide priorities manually from several separate reports.

Skill for Claude Code

Written for Claude Code: user-invocable in frontmatter.

Part of the digital-marketing-pro plugin — 164 skills, 5 commands, 24 agents shipped together

Good fit Use it to create industry-specific SEO roadmaps, competitive analysis, content plans, and ordered implementation phases.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/indranilbanerjee/digital-marketing-pro/seo-plan
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 indranilbanerjee/digital-marketing-pro --skill seo-plan
Clone the repo
git clone --depth 1 https://github.com/indranilbanerjee/digital-marketing-pro

Made for: Claude Code.

Or install digital-marketing-pro, the plugin that ships this one along with the rest of its 164 skills, 5 commands, 24 agents.

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-plan

README.md
[![agentmods](https://agentmods.dev/badge/skills/indranilbanerjee/digital-marketing-pro/seo-plan/github.svg)](https://agentmods.dev/skills/indranilbanerjee/digital-marketing-pro/seo-plan)
Your own site
<a href="https://agentmods.dev/skills/indranilbanerjee/digital-marketing-pro/seo-plan"><img src="https://agentmods.dev/badge/skills/indranilbanerjee/digital-marketing-pro/seo-plan/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-plan

Your own site · 80×15
<a href="https://agentmods.dev/skills/indranilbanerjee/digital-marketing-pro/seo-plan"><img src="https://agentmods.dev/badge/skills/indranilbanerjee/digital-marketing-pro/seo-plan.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 25 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,546 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 $0.00025 $0.03546
Opus 5.5 $0.00010 $0.01418
Sonnet 5.5 $0.00005 $0.00709
Haiku 4.5 $0.00003 $0.00355

Measured 17d ago against content hash c664e2b4c410, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

seo-plan 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 17d 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/seo-plan/SKILL.md · 286 lines

How it starts

The opening of the file, as written. The whole thing — 286 lines — stays where its author put it; the contents beside it link to each section on GitHub.

/digital-marketing-pro:seo-plan

Purpose

Generate a comprehensive SEO strategy with industry-specific templates, competitive analysis, content roadmap, and phased implementation plan. Covers both traditional SEO and AI search readiness.

Dispatcher mode (Confirm-Then-Dispatch)

When invoked on a brand that already has recent specialist outputs in ${CLAUDE_PLUGIN_DATA}/{brand}/seo/, this skill operates as an orchestrator — it reads those outputs as inputs, scores the brand across four pillars, and uses the weakest pillar to drive the lead theme of the plan.

Step D0 — detect fresh outputs (≤ 30 days)

Look under ${CLAUDE_PLUGIN_DATA}/{brand}/seo/ for the latest dated subfolder of each:

Specialist skill Output folder
/digital-marketing-pro:tech-seo-audit seo/tech-seo-audit/{YYYY-MM-DD}/PLAN.md
/digital-marketing-pro:content-decay-scan seo/content-decay-scan/{YYYY-MM-DD}/PLAN.md
/digital-marketing-pro:aeo-audit seo/aeo-audit/{YYYY-MM-DD}/PLAN.md
/digital-marketing-pro:backlink-gap seo/backlink-gap/{YYYY-MM-DD}/PLAN.md
/digital-marketing-pro:gsc-ai-performance seo/gsc-ai-performance/{YYYY-MM-DD}/PLAN.md
/digital-marketing-pro:keyword-cluster seo/keyword-cluster/{YYYY-MM-DD}/PLAN.md
/digital-marketing-pro:seo-drift seo/seo-drift/{YYYY-MM-DD}/PLAN.md

Any folder dated within the last 30 days counts as fresh — its PLAN.md becomes a primary input.

Step D1 — confirm before dispatching missing specialists

If some specialists have no fresh output, do not silently re-run them. Print exactly:

The following specialist outputs are missing or stale (>30 days old):
  - tech-seo-audit (last: 2026-05-12 — 23 days old)
  - backlink-gap (no run found)
  - gsc-ai-performance (no run found)

Running these now will use approximately N MCP credits / API calls.

Run them now in this session? (y / N — default N)
  • If y — dispatch in this order:
    • Parallel batch 1: tech-seo-audit, backlink-gap, aeo-audit, gsc-ai-performance (independent)
    • Sequential after: content-decay-scan (depends on tech-seo-audit's URL inventory), keyword-cluster (depends on aeo-audit query set)
    • Each specialist runs its own budget guard; surface aborts back to the user
  • If N or default — fall through; treat missing pieces as Phase 0 ("Discovery") work in the final plan

Read the full file on GitHub · 286 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. 17d ago Changed · -152 tokens per session c664e2b4c410
  2. 1mo ago First seen · 286 lines · 177 tokens per session scan A 821edf78956c

Subscribe to this mod's changes

seo-plan is a skill published in the GitHub repository indranilbanerjee/digital-marketing-pro (911 stars, last pushed today), licensed MIT. It adds 25 tokens to every session and 3,546 once invoked, about $0.0001 per session on Opus 5.5. 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 2026-09-07.