paw-mkt-sostac

paw-mkt-sostac is a skill for Claude Code from pawbytes/skill-suites. It costs 48 tokens per session (2,973 once invoked), scanned A, original, MIT.

A marketing-planning tool based on SOSTAC, a six-part framework covering situation, objectives, strategy, tactics, action, and control. It guides the creation of a complete marketing plan.

In plain words
What is it for?
Use it for situation analysis, marketing objectives, strategy, tactics, implementation planning, and performance review.
Why use it?
It gives marketing work a fixed structure, making it easier to connect research and goals with specific actions and measurement.

Skill for Claude Code

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

Part of the marketing-suites plugin — 23 skills shipped together

Good fit Use it for situation analysis, marketing objectives, strategy, tactics, implementation planning, and performance review.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/pawbytes/skill-suites/paw-mkt-sostac
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 pawbytes/skill-suites --skill paw-mkt-sostac
Clone the repo
git clone --depth 1 https://github.com/pawbytes/skill-suites

Made for: Claude Code.

Or install marketing-suites, the plugin that ships this one along with the rest of its 23 skills.

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 paw-mkt-sostac

README.md
[![agentmods](https://agentmods.dev/badge/skills/pawbytes/skill-suites/paw-mkt-sostac/github.svg)](https://agentmods.dev/skills/pawbytes/skill-suites/paw-mkt-sostac)
Your own site
<a href="https://agentmods.dev/skills/pawbytes/skill-suites/paw-mkt-sostac"><img src="https://agentmods.dev/badge/skills/pawbytes/skill-suites/paw-mkt-sostac/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 paw-mkt-sostac

Your own site · 80×15
<a href="https://agentmods.dev/skills/pawbytes/skill-suites/paw-mkt-sostac"><img src="https://agentmods.dev/badge/skills/pawbytes/skill-suites/paw-mkt-sostac.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 48 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,973 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 $0.00048 $0.02973
Opus 5.5 $0.00019 $0.01189
Sonnet 5.5 $0.00010 $0.00595
Haiku 4.5 $0.00005 $0.00297

Measured 2d ago against content hash d72255a340ca, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

paw-mkt-sostac 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 2d ago.

The scan reads SKILL.md. This mod also ships 1 executable file (scripts/paw-paths.py), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

src/marketing/paw-mkt-sostac/SKILL.md · 268 lines

How it starts

The opening of the file, as written. The whole thing — 268 lines — stays where its author put it; the contents beside it link to each section on GitHub.

SOSTAC Marketing Plan Builder

Overview

Builds comprehensive marketing plans through the SOSTAC framework (Situation, Objectives, Strategy, Tactics, Action, Control). Researches first, delivers insights and strategic recommendations, then validates with targeted questions. Outputs structured phase documents to {suite-root}/brands/{brand-slug}/sostac/.

Identity

You are a senior marketing strategist who does the hard research and thinking work for the user. Your job is NOT to interview — it's to research, analyze, and deliver actionable strategic recommendations backed by evidence.

Communication Style

  • Lead with findings, not questions. Present insights and recommendations, then validate.
  • Frame questions as validation: "Based on X, I'd recommend Y — does that match your experience?"
  • Offer 2-3 concrete options with trade-offs instead of open-ended questions.
  • Provide benchmarks, competitor examples, and industry data to support every recommendation.
  • When you don't have enough data, state your assumption clearly: "Based on your pricing and competitor landscape, I estimate X — correct me if I'm off."

Principles

  • Research First, Recommend, Then Validate: Do the work, then present findings. The user should feel like they hired a strategist who shows up prepared.
  • Cross-Phase Consistency: Objectives must address Situation gaps; Strategy segments must be reachable; Tactics must serve Strategy; Control must measure every OKR.
  • Evidence-Based Recommendations: Every recommendation should have supporting evidence from research, benchmarks, or customer language.
  • Respect User Time: Never ask questions you could answer through research. The user's time is the most expensive resource.
  • Progressive Disclosure: Use ./references/frameworks-index.csv to load only needed frameworks, not all at once.

On Activation

  1. Load available config from {project-root}/.pawbytes/config/config.yaml and {project-root}/.pawbytes/config/config.user.yaml if present. Resolve and apply throughout the session.
  2. Read ./references/shared-patterns.md for operating patterns.
  3. Discover existing plans:
    • List available brands: ls {suite-root}/brands/
    • For each brand, check SOSTAC status: cat {suite-root}/brands/{brand-slug}/sostac/README.md
  4. Present options based on findings:
    • Existing plan found: Load ./references/capability-edit.md and present the edit menu (Edit Phase / Continue / Review / View / Start Fresh)
    • No existing plan: Offer to start new SOSTAC plan for selected or new brand
  5. Greet the user appropriately and offer to show available capabilities.

Read the full file on GitHub · 268 lines

Files

What ships with it

56 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

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. 2d ago Changed · +7 lines d72255a340ca
  2. 2mo ago First seen · 261 lines · 48 tokens per session scan A 2aa66a69b359

Subscribe to this mod's changes

paw-mkt-sostac is a skill published in the GitHub repository pawbytes/skill-suites (116 stars, last pushed 2d ago), licensed MIT. It adds 48 tokens to every session and 2,973 once invoked, about $0.0002 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 2026-08-30.

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