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Suede Community Marketing

Community
JasonColapietro
suede-community-marketing

Use when asked "plan our community launch" or to audit or drive product community growth. Suede AI returns member identity, platform choice, a seeding plan, rituals, moderation paths, ambassador design and health metrics with denominators. NOT FOR: public social content (use suede-social), referral payouts (use suede-referrals), or customer interviews (use suede-customer-research).

Overview

PublisherJasonColapietro
Repositorysuede-creator-skills
Skill namesuede-community-marketing
Stars
126
Forks
12
Bundled files
4
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.

  • 4 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 Community Marketing 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-community-marketing
  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-community-marketing .claude/skills/suede-community-marketing
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Suede Community Marketing 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 Community Marketing 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 Community Marketing 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 Community Marketing Skills

Use this community-growth playbook to create genuine member value and measurable business outcomes without manufacturing engagement.

Compatibility

Any text-capable agent with the product brief and available community evidence. Public research needs web access; drafting needs no community-platform account or posting permissions.

Before You Start

Check for product marketing context first: If .agents/product-marketing.md exists (or .claude/product-marketing.md, or the legacy product-marketing-context.md filename, in older setups), read it before asking questions. Use that context and only ask for information not already covered.

Understand the situation (ask if not provided):

  1. What is the product or brand?: What problem does it solve, who uses it
  2. What community platform(s) are in play?: Discord, Slack, Circle, Reddit, Facebook Groups, forum, etc.
  3. What stage is the community at?: Pre-launch, 0–100 members, 100–1k, scaling, or established
  4. What is the primary community goal?: Retention, activation, word-of-mouth, support deflection, product feedback, revenue
  5. Who is the ideal community member?: Role, motivation, what they hope to get from joining

Work with whatever context is available. If key details are missing, make reasonable assumptions and flag them.


Community Strategy Principles

Build around a shared identity, not just a product

The strongest communities are built around who members are or aspire to be, not around your product. Members join because of the product but stay because of the people and identity.

Example: r/homelab: the identity is tinkerers who self-host, and every ritual, channel, and recognition mechanic in it reinforces that self-image.

Always define: What identity does this community reinforce for its members?

Value must flow to members first

Every community touchpoint should answer: What does the member get from this?

  • Exclusive knowledge or early access
  • Peer connections they can't get elsewhere
  • Recognition and status within a group they respect
  • Direct influence on the product roadmap
  • Career opportunities, visibility, or credibility

Playbooks by Goal

Launching a Community from Zero

  1. Recruit 20–50 founding members manually: DM your most engaged users, beta testers, or fans. Don't open publicly until there is baseline activity.
  2. Set the culture explicitly: Write community guidelines that describe the vibe, not just the rules. What does great participation look like here?
  3. Seed conversations before launch: Pre-populate channels with 5–10 posts that model the behavior you want. Questions, wins, resources.
  4. Do things that don't scale at first: Reply to every post. Welcome every new member by name. Host a weekly call. You are buying social proof.
  5. Define your core loop: What action do you want members to take weekly? Make it easy and reward it publicly.

Growing an Existing Community

  1. Audit where members drop off: Are people joining but not posting? Posting once and disappearing? Identify the leaky stage.
  2. Create a new member journey: A pinned welcome post, a #introduce-yourself channel, a DM or email from a community manager, a clear "start here" path.
  3. Surface member wins publicly: Showcase user projects, testimonials, milestones. This reinforces identity and signals that participation has rewards.
  4. Run recurring community rituals: Weekly threads (e.g., "What are you working on?"), monthly AMAs, seasonal challenges. Rituals create habit.
  5. Identify and invest in power users: participation is usually heavily skewed toward a small minority (Inferred; verify against this community's own posts-per-member distribution before quoting a ratio). Give the observed top contributors recognition, early access, moderator roles, or product input.

Building a Brand Ambassador / Advocate Program

  1. Identify candidates: Look for people who already recommend you unprompted. Check reviews, social mentions, community posts.
  2. Make the ask personal: Don't send a generic form. Reach out 1:1 and explain why you chose them specifically.
  3. Offer meaningful benefits: Exclusive access, swag, revenue share, or public recognition, not just "early access to features."
  4. Give them tools and content: Referral links, shareable assets, key talking points, a private Slack channel.
  5. Measure and iterate: Track referral traffic, signups, and engagement driven by advocates. Double down on what works.

Community-Led Support (Deflection + Retention)

  1. Create a searchable knowledge base from top community questions
  2. Recognize members who help others: "Community Expert" badges, leaderboards, shoutouts
  3. Close the loop with product: When community feedback drives a change, announce it publicly and credit the members who raised it
  4. Monitor sentiment weekly: Look for patterns in complaints or confusion before they become churn signals

Platform Selection Guide

PlatformBest ForWatch Out For
DiscordDeveloper, gaming, creator communities; real-time chatHigh noise, hard to search, onboarding friction
SlackB2B / professional communities; familiar to SaaS buyersFree tier limits history; feels like work
CircleCreator or course-based communities; clean UXLess organic discovery; requires driving traffic
RedditHigh-volume public communities; threads rank in Google and get quoted in AI answersYou don't own it; strict self-promotion rules
Facebook GroupsConsumer brands; older demographicsDeclining organic reach; algorithm dependent
Forum (Discourse)Long-form technical communities; indexable, owned answersSlower velocity; higher effort to post

Searchable community knowledge

Google shows forum and community threads in a "Discussions and forums" result block, and AI answer engines quote public threads. Chat platforms (Discord, Slack) are not indexed, so the answers members give there disappear from search.

  • Run support and how-to questions in an indexable space (a Discourse forum or a public docs Q&A) and keep chat for real-time conversation.
  • Turn the best chat answers into public pages each week, with the helper's permission and credit.
  • Thread titles phrase the question the way a buyer would search it; the accepted answer comes first.
  • On Reddit and other communities the brand does not own, participate as a named, disclosed employee, follow each subreddit's rules, and never seed fake recommendations.

Community Health Metrics

Track these signals weekly. Label every number by evidence class, Boundaries below forbids stating any of them without a source, window, and denominator:

  • Observed: read directly from the platform's admin view or export. Name the view and the date pulled.
  • Computed: derived from observed values. Show the formula and the denominator (new member post rate = new members posting within 7 days / members who joined in the same window).
  • Inferred: a hypothesis to test, including any benchmark taken from outside this community. Never word it as this community's fact.
  • Unknown: the platform does not expose the measure. State what would resolve it.

Metrics:

  • DAU/MAU ratio: Stickiness (Computed: daily actives / monthly actives). A 20% floor is an Inferred cross-industry benchmark, not this community's healthy line; compare against its own trailing weeks.
  • New member post rate: % of new members who post within 7 days of joining
  • Thread reply rate: % of posts that receive at least one reply
  • Churn / lurker ratio: Members who joined but haven't posted in 30+ days
  • Content created by non-staff: % of posts not written by the company team

Warning signs:

  • Most posts are from the company team, not members
  • Questions go unanswered for >24 hours
  • Engagement concentrates in a handful of accounts: compute the share of posts from the top 5 posters over a stated window before calling it a warning
  • New members stop posting after their intro message

Output Formats

Depending on what the user needs, produce one of:

  • Community Strategy Doc: Platform choice, identity definition, core loop, 90-day launch plan
  • Channel Architecture: Recommended channels/categories with purpose and posting guidelines for each
  • New Member Journey: Welcome sequence: pinned post, DM template, first-week prompts
  • Community Ritual Calendar: Weekly/monthly recurring events and threads
  • Ambassador Program Brief: Criteria, benefits, outreach template, tracking plan
  • Health Audit Report: Current metrics, diagnosis, top 3 priorities to fix

Always be specific. Generic advice ("be consistent," "provide value") is not useful. Give the user something they can act on today.

Community Strategy Doc: exact headings

markdown
# <Community name>: Strategy

## Identity
Member identity reinforced: <who members are or aspire to be>
Who is explicitly not the member: <exclusion>

## Platform Choice
Chosen: <platform> | Rejected: <platform> because <watch-out from the table>
Evidence class for any cited benchmark: Observed | Computed | Inferred | Unknown

## Core Loop
Weekly member action: <one action>
What makes it easy: <mechanic>
How it is rewarded publicly: <mechanic>
Where new value re-enters: <mechanic>

## Seeding Plan
Founding members (20–50, manually recruited): <source list>
Pre-launch seed posts: <5–10 topics that model the behavior>
Culture statement: <what great participation looks like here>

## 90-Day Plan
Days 0–30 | Days 31–60 | Days 61–90, for each: goal, rituals live,
owner, primary metric with its denominator

## Measurement
Primary metric: <metric> = <formula> / <denominator>, window <n> days
Diagnostics (2–4): <metric + evidence class each>

## Open Gates
<authorization or evidence still missing; use the halt contract below>

The other five deliverables use these headings:

  • Channel Architecture: Channel | Purpose | Who posts | Posting rules | Success signal
  • New Member Journey: Pinned post / DM template / Day 1–7 prompts / First-win definition / Drop-off checkpoint
  • Community Ritual Calendar: Ritual | Cadence | Owner | Member job | Kill condition
  • Ambassador Program Brief: Criteria / Benefits / Outreach template / Disclosure requirement / Tracking plan
  • Health Audit Report: Metrics with evidence class and denominator / Diagnosis / Top 3 priorities / What would disprove the diagnosis

Halt Contract

Use this exact format when authorization, evidence, or an enforcement decision blocks the requested result: including the space-creation, invite, role, moderation, removal, and announcement gate and the enforcement-outcome gate in Boundaries:

text
HALT: <one-line blocker>
Why it blocks: <specific missing authority or evidence>
Resolve with:
1. <option>
2. <option>
3. <option, when useful>
Waiting for: <the exact item or approval>

Continue with safe drafts, plans, or worksheets only when they remain useful and do not imply the blocker was resolved.


Boundaries

  • Do not claim membership, engagement, retention, sentiment, or advocacy without a defined source, window, and denominator.
  • Do not create spaces, invite members, assign roles, moderate, remove content, or publish announcements without explicit authorization.
  • Do not manufacture activity, impersonate members, conceal incentives, or present paid advocacy as organic.
  • Do not decide enforcement outcomes beyond the documented community rules and escalation path.

Routing

  • Need referral or ambassador incentives -> use suede-referrals.
  • Need public social content -> use suede-social.
  • Need member-language research -> use suede-customer-research.
  • Need retention diagnosis beyond community behavior -> use suede-churn-prevention.
  • Need graphics for welcome posts, ritual announcements, or ambassador assets -> use suede-image; for video assets -> use suede-video.
  • Need a final anti-slop pass on member-facing copy before it ships -> use suede-deslop.
  • From those skills, route community purpose, platform, rituals, and moderation design back to suede-community-marketing.

Worked contract

Worked contract gives a bounded input, expected output and failure check for this workflow.

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 Community Marketing AI skill do?

Use when asked "plan our community launch" or to audit or drive product community growth. Suede AI returns member identity, platform choice, a seeding plan, rituals, moderation paths, ambassador design and health metrics with denominators. NOT FOR: public social content (use suede-social), referral payouts (use suede-referrals), or customer interviews (use suede-customer-research).

Why use Suede Community Marketing on TypingMind?

Because you install it once and use it with any model. Suede Community Marketing 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 Community Marketing in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/JasonColapietro/suede-creator-skills/tree/main/skills/suede-community-marketing. 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 Community Marketing?

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 Community Marketing?

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

Is the Suede Community Marketing 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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