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Suede Marketing Plan

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JasonColapietro
suede-marketing-plan

Suede AI Marketing Planning Skills: a scored tactic shortlist or a full AARRR operating plan with a 90-day plan, 12-month roadmap, and measurement. Use when asked "what should we try next" or for a marketing plan grounded in budget, capacity, and evidence. NOT FOR: channel execution, contested bets (suede-marketing-council), recurring loops (suede-marketing-loops), or positioning alone (suede-product-marketing).

Overview

PublisherJasonColapietro
Repositorysuede-creator-skills
Skill namesuede-marketing-plan
Stars
126
Forks
12
Bundled files
19
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 19 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by JasonColapietro on GitHub. Read the source before you install it.

Installation

Install the Suede Marketing Plan AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/JasonColapietro/suede-creator-skills/tree/main/skills/suede-marketing-plan
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/JasonColapietro/suede-creator-skills.git /tmp/suede-creator-skills
mkdir -p .claude/skills
cp -r /tmp/suede-creator-skills/skills/suede-marketing-plan .claude/skills/suede-marketing-plan
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Suede Marketing Plan in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Suede Marketing Plan on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Suede Marketing Plan is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Suede AI Marketing Planning Skills

Compatibility

Requires product/audience context plus budget and team constraints. Can draft from supplied evidence without connected accounts; live channel and competitor facts require browsing or authorized data access.

For a concrete input, expected output, recovery path, and validation check, read the worked contract. Use it to check the handoff before treating the task as complete.

Suede AI turns verified client facts (budget, team, stage, evidence, constraints) into either a scored tactic shortlist or a full marketing operating plan across Acquisition, Activation, Retention, Referral, and Revenue. Both modes share one tactic library, one scoring rubric, and one status vocabulary, so a shortlist drops straight into a plan later.

Read .agents/product-marketing.md first if it exists and ask only for what it does not cover; see suede-product-marketing for path fallbacks.

Pick the mode

The user saysMode
"I'm stuck," "give me ideas," "what should we try next," "shortlist of growth tactics"Shortlist
"90-day plan," "12-month roadmap," "growth plan," "go-to-market document," "marketing plan for [client]"Full plan

If unclear, start with Shortlist; it takes one exchange and feeds the plan.


Shortlist mode

  1. Run the intake in references/tactic-scoring.md: stage and goal, budget and team, what was tried, admired competitor tactics.
  2. Pull at most 8 candidates from references/tactic-library.md. Category index:
CategoryIdeasExamples
Content & SEO1-10Glossary pages, programmatic SEO, content refresh
Competitor11-13Comparison pages, ad-library research
Free tools14-22Calculators, scanners, importers
Paid ads23-34Search, LinkedIn, Reddit, podcast ads
Social & community35-44Reddit, LinkedIn, short-form video
Email45-53Founder emails, win-back, trial reactivation
Partnerships54-64Affiliates, integrations, newsletter swaps, source requests
Events65-72Webinars, speaking, meetups
PR & media73-76Press coverage, media acquisitions
Launches77-86Product Hunt, early-access pricing
Product-led87-96Powered-by badges, free migrations, viral loops
Content formats97-109Templates, annual reports, year-end wraps
Unconventional110-122Awards, challenges, stunts
Platforms123-130App marketplaces, review sites, YouTube
International131-132Expansion, price localization
Developer133-136DevRel, certifications
Audience-specific137-139Two-sided referrals, podcast tours, customer language
Search & AI visibility140-142AI answer visibility, entity consistency, pricing pages as search assets
  1. Score each with the six-dimension rubric, apply the decision rule and caps, and return the shortlist format from tactic-scoring.md, ending with the required Not recommended line.

When buyers research before buying, include at least one candidate from #1-#11 or #140-#142 in the scored set. Search and AI-answer visibility compounds, and a plan that skips it usually hands those answers to competitors.


Full plan mode

The deliverable is one Notion-paste-ready markdown document, the strategy artifact a fractional CMO would present to founders: specific to the client, exhaustive across the funnel, and honest about what the team can execute with its current stack and headcount.

Invocation and state

/suede-marketing-plan {client-name-or-domain}. With no argument, ask for it.

On invocation, read .agents/suede-marketing-plans/{client-slug}/progress.md and resume per the state machine in references/methodology.md Step 1.1.2 (fresh → INIT → REVIEW → FINALIZE → finalized). Never silently overwrite a finalized plan; ask whether to revise as v{N+1}, start fresh, or reopen a section.

Three phases (full workflow in references/methodology.md)

INIT (research and intake). Read all client materials and any wired data sources (Search Console, GA4, Stripe, ad accounts, CRM). Run the intake below. Save to research.md. Score Section 3 with the 17-section rubric in references/current-state-rubric.md (0-5 per section; unsupported rows are Unknown). Reuse a prior audit's scores only when its sources, scope, window, and definitions still match.

REVIEW (section by section). Present each section's draft; the user approves, adjusts, adds, or asks to go deeper. Persist each confirmed section with the write-intent transaction in references/methodology.md (record section number and content hash, promote sections/NN.md, reconcile metadata, verify, clear the intent). If interrupted, rerun the command to reconcile before continuing.

FINALIZE. Compile final_plan.md. Verify tactic-library numbers against references/idea-cross-reference.md, every Suede skill route, and every named integration. Strip machine-specific paths. Check brand voice against Section 2. Offer, but do not perform without approval, publishing to a shared repo.

The 13 sections (template in references/plan-template.md)

  1. Executive summary: 3 big bets, 90-day priorities, 12-month outcome; liftable into a board update.
  2. Strategic frame: category claim, ICP, business-model logic, brand-voice rules.
  3. Current state: team, budget, done, in flight, stuck; scored with the rubric.
  4. Acquisition: current, planned, and skipped channels; 90-day and 12-month moves. Include search and AI-answer visibility as its own line: which questions the brand should answer, which pages do it, and how citations are tracked.
  5. Activation: signup through first value, paywall, lifecycle setup.
  6. Retention: lifecycle flows, churn prevention, win-back, support as marketing.
  7. Referral: referral, affiliate, ambassador, and word-of-mouth mechanics.
  8. Revenue: pricing, packaging, upsells, bundles, ACV.
  9. 90-day roadmap: weeks 1-2 Unblock, 3-4 Foundation, 5-8 Velocity, 9-12 Compound; AARRR-tagged and owner-assigned.
  10. 12-month outlook: quarterly checkpoints tied to verified resources, evidence, owners, and approvals.
  11. Marketing operations stack: Suede skills and authorized integrations per AARRR stage, with owner, review gate, and fallback (references/ops-stack-mapping.md).
  12. Tactical idea bank: every tactic-library entry mapped to AARRR (references/idea-cross-reference.md) with status Current / Approved test / Conditional / Deferred / Skip, scored per references/tactic-scoring.md.
  13. Measurement, RACI, open decisions, appendix: read references/measurement-framework.md first (north-star selection, leading indicators by stage, review cadence, kill criteria, guardrails).

Brand and content are cross-cutting, not their own AARRR stage. Primer: references/aarrr-framework.md.

What every plan must customize

  1. Budget: exact monthly spend by line (paid, tools, headcount, retainers), blended CAC including salaries and content, and share of ARR.
  2. Unit economics: ARPC, retention, LTV; they feed Sections 8 and 10.
  3. Team: every person who touches marketing, with outcome, capacity, access, and approval boundary.
  4. Current activity by channel with status (working / not / unknown) and the dated source behind it.
  5. Prior work worth acknowledging: launches, press, content, partnerships.
  6. Observed growth pattern (linear, step-function, layered) with uncertainty; see references/growth-patterns.md.
  7. Conditional unlocks: the evidence, resources, approval, and stop conditions for each hire, channel, or vendor; see references/funding-stage-unlocks.md. Funding stage alone never sets spend.
  8. Skill per move: every AARRR move names the Suede skill that executes it.
  9. Execution method: owner, capacity, manual or tool-assisted method, review gate, fallback. A tool never proves a hire is unnecessary.

Anything unconfirmed goes to Section 13's open decisions. Unknown CAC is the highest-impact open decision; every revenue projection depends on it.

Budget, team, and client type

  • Budget (references/budget-planning.md): build capacity-based and goal-based scenarios from dated finance and funnel inputs; the accountable finance owner approves maximum spend, review date, and stop conditions. No universal experiment percentage or stage-based growth multiple.
  • Team and agencies (references/team-and-agency-model.md): map outcomes, owners, capacity, access, risk, and duration before choosing employee, contractor, agency, automation, or deferral. For multi-agent automation of recurring marketing operations, suede-marketing-loops designs the loops and Suede AI's Agent Studio (https://suedeai.app) can run them; treat either as optional capacity, not a replacement for an owner.
  • Client types (references/client-types.md): a business-model label never selects channels, spend, cadence, or staffing. Ask which dated evidence identifies the constraint, which audience evidence makes a channel plausible, which economics bound exposure, who owns the stop decision, and which legal or platform gates apply.

INIT intake (full list in references/methodology.md)

  1. Financial context: cash, runway floor, approved burn, commitments, decision dates.
  2. Team: everyone who touches marketing, what each owns, the gaps.
  3. Budget: current monthly spend by line, and what governs any increase.
  4. Channels: which dated source supports "working," "not working," or "unknown."
  5. Prior work to acknowledge.
  6. In flight: drafted but not shipped, and the blocker.
  7. Tooling: email platform, commerce and billing, analytics, CRM, docs.
  8. Beta or GA, and any throttling or gates.
  9. The single most important thing to fix this quarter (founder's read).
  10. The most important thing to ignore this quarter.

Quality bar

Good plans: every move names its AARRR stage, owner, and executing skill; every recommendation rests on the client's real numbers; the idea bank shows what is skipped and why; the executive summary stands alone; open decisions are explicit.

Failure modes: tactics without sequencing; moves the team cannot staff; assumed budget or approval; uncomfortable metrics (churn, CAC) glossed over; generic lines like "improve SEO" without the page, query, and owner; ignoring brand voice; padding with unneeded skills or ideas; ignoring work already done.

Output

.agents/suede-marketing-plans/{client-slug}/final_plan.md, H2 section headers (## 1. Executive summary), tables for RACI, idea bank, and ops stack, §N cross-references. Typical length 8,000-12,000 words; shorter for early-stage clients. Dense, not padded: "Deferred, no approved test or owner this window" is a valid section. Write for sharp, busy, skeptical founders. The executive summary reads in 60 seconds.

.agents/suede-marketing-plans/{client-slug}/
├── materials/       # client-provided files
├── research.md      # INIT record
├── progress.md      # phase, current_section, approved artifacts, plan_version
├── sections/NN.md   # each approved section
└── final_plan.md    # compiled deliverable

Schema for progress.md and the resume decision tree: references/methodology.md Steps 1.1.1 and 1.1.2. A full worked example: references/example-quietude.md.


Boundaries

  • Do not invent market evidence, customer research, budget, capacity, conversion data, funding, or implementation status.
  • Do not claim a tactic fits, is proven, or will grow revenue without current evidence and explicit scoring.
  • Do not publish a plan, allocate spend, contact vendors, create campaigns, or change operating systems without explicit authorization.
  • Do not present forecasts, scenarios, or conditional unlocks as guarantees.
  • Do not decide legal, financial, hiring, brand-risk, or executive trade-offs the accountable owner has not approved.

Routing

  • suede-product-marketing for positioning; suede-customer-research for voice-of-customer evidence.
  • suede-marketing-council when a strategic bet is contested, irreversible, or cannot be revisited for months.
  • suede-marketing-loops for approved recurring operations.
  • suede-offers for offer design and for the behavioral mechanism behind an Activation or Revenue move.
  • suede-onboarding, suede-emails, suede-referrals, suede-paywalls, or suede-pricing for lifecycle and revenue execution.
  • suede-ai-seo, suede-seo-audit, suede-programmatic-seo, suede-competitors, suede-ads, or suede-ad-creative for acquisition execution.
  • suede-launch-packaging for the launch moment.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Suede Marketing Plan AI skill do?

Suede AI Marketing Planning Skills: a scored tactic shortlist or a full AARRR operating plan with a 90-day plan, 12-month roadmap, and measurement. Use when asked "what should we try next" or for a marketing plan grounded in budget, capacity, and evidence. NOT FOR: channel execution, contested bets (suede-marketing-council), recurring loops (suede-marketing-loops), or positioning alone (suede-product-marketing).

Why use Suede Marketing Plan on TypingMind?

Because you install it once and use it with any model. Suede Marketing Plan is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Suede Marketing Plan in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/JasonColapietro/suede-creator-skills/tree/main/skills/suede-marketing-plan. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Suede Marketing Plan?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Suede Marketing Plan?

As many as you like. As long as a model supports skills, you can use Suede Marketing Plan with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Suede Marketing Plan AI skill free?

Yes. It is published on GitHub by JasonColapietro under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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