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Prd V08 Changelog As Marketing

Community
mattgierhart
prd-v08-changelog-as-marketing

Design the changelog as a distribution surface bridging engineering releases (DEP-/FEA-) to marketing channels (GTM-) during PRD v0.8 Deployment & Ops. Triggers on requests to set up a changelog system, publish releases, or when user asks "how should we publish releases?", "changelog as marketing", "release notes", "Stripe-style changelog", "what to do with our release notes", "ship and tell". Outputs MON-CHG-* changelog entries and per-channel formats.

Overview

Publishermattgierhart
RepositoryPRD-driven-context-engineering
Skill nameprd-v08-changelog-as-marketing
Stars
179
Forks
11
Bundled files
Instructions only
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.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

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

Installation

Install the Prd V08 Changelog As 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.
  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/mattgierhart/PRD-driven-context-engineering.git /tmp/PRD-driven-context-engineering
mkdir -p .claude/skills
cp -r /tmp/PRD-driven-context-engineering/plugins/prd-ce/skills/prd-v08-changelog-as-marketing .claude/skills/prd-v08-changelog-as-marketing
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Prd V08 Changelog As 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 Prd V08 Changelog As 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 Prd V08 Changelog As 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.

Changelog as Marketing

Position in workflow: v0.8 Release Planning → v0.8 Changelog as Marketing → v0.9 Launch Channels (ORB)

Execution Mode

Default is standard. See .claude/rules/08-skill-execution-modes.md for selection logic.

ModeWhat this skill produces
quickOne release format (markdown for site); one channel mapping; minimum-viable changelog page
standardRelease categorization + 2–3 channel mappings; per-channel format templates; publish cadence; attribution plan
deepFull categorization taxonomy; format templates for all relevant channels (email, blog, Twitter, LinkedIn, RSS, Slack); cadence + voice guide; KPI- attribution per channel

What This Does

Treats the changelog as a distribution surface, not an engineering record. Each shipped release becomes a content artifact that lands across Owned and Rented channels with minimal extra effort. This is the bridge between v0.8 (what shipped) and v0.9 (where it gets told).

Done well, this is one of the highest-leverage Owned-channel investments — Stripe, Linear, Vercel, and Sentry have shown that an opinionated changelog drives ongoing inbound that compounds over years. Done badly, it's a dumping ground for "fixed bug X" that nobody reads.

How It Works

  1. Define the changelog audience(s) — Engineering changelogs (for users running self-hosted or integrating an API), customer-facing changelogs (for end-users), and internal changelogs (for the team) have different shapes. Anchor to the Positioning best-fit segment.
  2. Categorize release content — Each shipped item gets a category:
    • New feature (publish loudly)
    • Improvement (publish, briefly)
    • Breaking change (publish, prominently, with migration path)
    • Deprecation (publish, with timeline)
    • Fix (publish only if user-visible)
    • Internal (don't publish externally)
  3. Map categories to channels — Each category gets a channel destination from the ORB mix:
    • New feature → Blog post + email + Twitter + LinkedIn
    • Breaking change → Email (high-priority) + RSS + blog
    • Improvement → Blog (digest) + Twitter (digest)
    • Fix → Changelog page only
  4. Build per-channel format templates — Each channel has a length/tone constraint:
    • Email: subject line + 2-paragraph body + CTA
    • Blog: full writeup, screenshots, code samples
    • Twitter/X: 280 chars, one image
    • LinkedIn: 1,000-1,500 chars, professional voice
    • Slack/Discord: short with link to blog
    • RSS: full content for engineering audiences
  5. Set publish cadence — Per-release (every shipped release publishes immediately) vs. digest (weekly/monthly roll-up). Most teams need both: per-release for big things, digest for the rest.
  6. Plan attribution — Every channel-published release gets a UTM. Track changelog → signup conversion to identify which categories convert.

Example

A developer-tools product ships:

ItemCategoryChannels
New /api/v2/webhooks endpointNew featureBlog (full), email, Twitter, LinkedIn, RSS
/api/v1/webhooks deprecation (sunset in 6mo)DeprecationEmail (high-priority), blog, RSS
30% faster response time on heavy queriesImprovementTwitter, weekly digest
Fixed: webhook signing edge caseFixChangelog page only
Internal: refactored auth middlewareInternal(none)

Tuesday publish:

  • Blog post: "Webhooks v2 is live — here's what changed and how to migrate"
  • Email to API customers (segment-targeted, not full list): "Action needed: webhook v1 sunset"
  • Twitter: "Webhooks v2 ships today. v1 is sunset in 6 months. Migration guide: [link]"
  • Changelog page: all five items (including the fix and internal note marked appropriately)

What You Get Back

  • MON-CHG-* changelog entries (one per shipped release) — Master record with category, audience, channel mapping, links to per-channel publications
  • GTM-CHG-* per-channel formats (one per channel) — Templates and example content
  • Publish cadence schedule — Per-release vs. digest decisions
  • KPI attribution plan — UTMs and conversion tracking

When to Use It

TriggerMode
First release post-launch (no changelog system yet)quick
Standard launch cadence stabilizingstandard
Pre-investor / pre-Series A — changelog as proof of velocitydeep
API or developer-tool productdeep (changelog is a primary surface)
One-time announcements (acquisition, big feature)standard

Consumes

  • DEP-* release entries (from v0.8 Release Planning) — What's being released, when
  • FEA-* features (from v0.3) — What new features exist; categorization input
  • GTM-* channel mix (from v0.9 Launch Channels ORB, when available) — Where to publish
  • GTM-* positioning (from v0.9 Positioning, when available) — Voice and tone constraints
  • PER-* best-fit characteristics — Audience tone calibration
  • KPI-* baselines — Attribution targets

When this skill runs before v0.9 has executed, channel mapping uses placeholder channels and is reconciled when v0.9 channels are finalized.

Produces

  • MON-CHG-* entries in SoT/SoT.DEPLOYMENT.md (or a dedicated SoT/SoT.CHANGELOG.md if release volume warrants)
  • GTM-CHG-* entries with Type=Channel-Changelog (per-channel format templates)
  • CFD-* gaps surfaced — If a release category lacks an obvious channel mapping, log as research gap

Output Template

MON-CHG-XXX: Release — [Release name / version]
Type: Changelog
Date: YYYY-MM-DD
Owner: [Person / role]
Status: [Drafted | Reviewed | Published]

Released items:
  - [Item 1] — Category: [New feature | Improvement | Breaking change | Deprecation | Fix | Internal]
  - [Item 2] — Category: ...

Audience: [API customers | All users | Internal team | Mixed]

Channel publications:
  - Blog: [URL or "scheduled YYYY-MM-DD"]
  - Email: [Segment + scheduled date]
  - Twitter: [Scheduled date]
  - LinkedIn: [Scheduled date]
  - Changelog page: [Updated YYYY-MM-DD]

Attribution: utm_campaign=changelog-<version>

Linked IDs: DEP-AAA (release), FEA-BBB (features shipped), GTM-CHG-CCC (channel formats), KPI-DDD (attribution)
GTM-CHG-XXX: Channel Format — [Channel name]
Type: Channel-Changelog
Channel: [Blog | Email | Twitter | LinkedIn | RSS | Slack]
Owner: [Person / role]

Format constraints:
  Length: [chars / words / sections]
  Tone: [Conversational | Technical | Formal — anchored in Positioning voice]
  Visuals: [Required / optional]
  CTA: [Specific action expected]

Template:
  [Reusable template for this channel, with variable placeholders]

Example (most recent use):
  [Concrete example from MON-CHG-XXX]

Publish trigger: [Per-release | Weekly digest | Monthly digest]

Linked IDs: MON-CHG-AAA (latest use), GTM-YYY (positioning voice)

Anti-Patterns

PatternSignalFix
Dumping internal commitsChangelog reads like git logCategorize; publish only what users care about
Same content everywhereSame blog post copy-pasted to Twitter and LinkedInEach channel has its own format constraints; honor them
Vague feature claims"Various improvements"Name the specific change; "30% faster heavy queries" beats "performance improvements"
Engineering-only voiceCustomer changelog uses internal jargonTone-shift per audience; engineer changelog ≠ end-user changelog
No attributionChangelog publishes but no idea what convertsUTM every link; track per-channel conversion
Sporadic cadencePublish heavily for 2 months, then quiet for 6Pick per-release or digest cadence; commit to it
Breaking change buriedHidden in a sea of small itemsBreaking changes get a dedicated, prominent slot

Quality Gates

Before publishing the first release:

  • Audience(s) defined (engineering, customer-facing, internal — separately if needed)
  • Categorization scheme exists (at minimum: new / improvement / breaking / fix)
  • Channel mapping table exists (categories → channels)
  • Per-channel format templates exist
  • Publish cadence committed
  • Attribution plan (UTM convention) defined
  • Voice/tone honors GTM- positioning (if v0.9 is done)

Downstream Connections

ConsumerWhat it usesExample
Launch Channels (ORB)Changelog is an Owned channel; rolls into mix matrixBlog-changelog = Owned-content
Launch MetricsPer-channel changelog conversion targetsKPI-changelog-blog-signups
Feedback Loop SetupChangelog reader comments become CFD-Blog comment threads → CFD- pattern
AEO AuditHigh-traffic changelog posts become AI citation sourcesChangelog entries cited by AI search
v1.0 Case Study BuilderShipped features in changelog feed case study material"How we use [feature] at [customer]"

Detailed References

  • Stripe changelog: stripe.com/changelog — the canonical example
  • Linear changelog: linear.app/changelog — opinionated voice
  • Vercel changelog: vercel.com/changelog — visual-heavy
  • jonathimer's changelog-updates skill (devmarketing-skills)
  • (No bundled references/ — read the source examples for current best practice)

Frequently asked questions

What does the Prd V08 Changelog As Marketing AI skill do?

Design the changelog as a distribution surface bridging engineering releases (DEP-/FEA-) to marketing channels (GTM-) during PRD v0.8 Deployment & Ops. Triggers on requests to set up a changelog system, publish releases, or when user asks "how should we publish releases?", "changelog as marketing", "release notes", "Stripe-style changelog", "what to do with our release notes", "ship and tell". Outputs MON-CHG-* changelog entries and per-channel formats.

Why use Prd V08 Changelog As Marketing on TypingMind?

Because you install it once and use it with any model. Prd V08 Changelog As 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 Prd V08 Changelog As Marketing in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/mattgierhart/PRD-driven-context-engineering/tree/main/plugins/prd-ce/skills/prd-v08-changelog-as-marketing. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Prd V08 Changelog As 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 Prd V08 Changelog As Marketing?

As many as you like. As long as a model supports skills, you can use Prd V08 Changelog As Marketing with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Prd V08 Changelog As Marketing AI skill free?

Yes. It is published on GitHub by mattgierhart 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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