Gtm Alignment logo

Gtm Alignment

Organization
WellApp-ai
gtm-alignment

Align phases with GTM strategy, persona tiers, and KPI targets

Overview

PublisherWellApp-ai
RepositoryWell
Skill namegtm-alignment
Stars
342
Forks
48
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 WellApp-ai on GitHub. Read the source before you install it.

Installation

Install the Gtm Alignment 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/WellApp-ai/Well.git /tmp/Well
mkdir -p .claude/skills
cp -r /tmp/Well/cursor-rules/skills/gtm-alignment .claude/skills/gtm-alignment
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Gtm Alignment 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 Gtm Alignment 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 Gtm Alignment 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.

GTM Alignment Skill

Ensure implementation phasing aligns with go-to-market strategy by validating against persona tiers and estimating business value from KPI database.

CRITICAL: This skill MUST fetch real data from Notion. Do NOT make up personas or GTM tiers.

When to Use

  • During Ask mode Phase 2 (CONVERGE), after dependency-mapping
  • When prioritizing between equally-risky slices
  • Before finalizing phase order

Notion Database IDs

DatabaseIDPurpose
Persona DB2b1c4d5e-7bea-80ee-85c2-fb96dfdcf98bPersona tiers, RICE scores, characteristics
GTM Strategy2b2c4d5e-7bea-809d-8c49-cc6b443738dfPositioning, messaging, segments

Note: If API-query-data-source fails, use API-post-search with query "Persona" as fallback.

Instructions

Phase 1: Fetch Persona Tiers (REQUIRED)

Primary method - Query database:

CallMcpTool:
  server: user-notion
  toolName: API-query-data-source
  arguments: {"data_source_id": "2b1c4d5e-7bea-80ee-85c2-fb96dfdcf98b"}

Fallback method - Search (if query fails):

CallMcpTool:
  server: user-notion
  toolName: API-post-search
  arguments: {"query": "Persona"}

STOP if BOTH methods fail. Report error and do not proceed with made-up data.

Extract from Persona DB:

  • Persona name (title)
  • RICE score (for prioritization)
  • Goals, Pain points, Background
  • Market segments

Build Tier Priority Table (sorted by RICE score):

TierPersonaRICE ScoreKey Traits
T1[Highest RICE from Notion][Score][Goals/Pain points]
T2[Second RICE from Notion][Score][Goals/Pain points]
T3[Third RICE from Notion][Score][Goals/Pain points]

Evidence required: Show persona names and RICE scores from Notion

Phase 2: Fetch GTM Strategy (REQUIRED)

Primary method - Query database:

CallMcpTool:
  server: user-notion
  toolName: API-query-data-source
  arguments: {"data_source_id": "2b2c4d5e-7bea-809d-8c49-cc6b443738df"}

Fallback method - Search (if query fails):

CallMcpTool:
  server: user-notion
  toolName: API-post-search
  arguments: {"query": "GTM Strategy"}

STOP if BOTH methods fail. Report error and do not proceed with made-up data.

Extract from GTM Strategy:

  • Current positioning statement
  • Key differentiators vs. competitors
  • Priority segments/verticals
  • Messaging themes

Evidence required: Show positioning statement excerpt from Notion

Phase 3: Map Slices to Personas

Using the ACTUAL persona data from Phase 1, map each slice to the persona it serves:

SliceServes PersonaTierWhy
[Slice name][Persona from Notion]T1/T2/T3[Rationale]

Phase 4: Calculate GTM Score

GTM Score = (TierPriority x 3) + AnnouncementPotential

Where:
- TierPriority: T1=3, T2=2, T3=1, None=0
- AnnouncementPotential: Yes=2, Partial=1, No=0

Phase 4: Calculate GTM Score

GTM Score = (TierPriority x 3) + ValueScore + AnnouncementPotential

Where:
- TierPriority: T1=3, T2=2, T3=1, None=0
- ValueScore: Critical=3, High=2, Medium=1, Low=0
- AnnouncementPotential: Yes=2, Partial=1, No=0

Phase 5: Map Phases to Personas

PhaseServes TierPersonaFeatures IncludedCan Announce?
1T1[Primary][Slice list]Yes/No
2T1, T2[Primary, Secondary][Slice list]Yes/No
3AllAll personas[Slice list]Yes (Full Launch)

Rule: Each phase should fully serve at least one persona tier.

Phase 6: Reconcile with Risk Order

If GTM Score conflicts with Risk Score (from dependency-mapping):

ScenarioResolution
High GTM + High RiskSplit slice into MVP + Full (reduce risk, keep GTM priority)
High GTM + Low RiskPrioritize (move earlier in sequence)
Low GTM + Low RiskKeep in risk-based position
Low GTM + High RiskDefer (move later in sequence)

Document conflicts for checkpoint:

CONFLICT DETECTED:
- Risk order: #1.1 -> #1.2 -> #2.1 -> #2.2
- GTM order: #2.2 -> #1.1 -> #1.2 -> #2.1 (Invite flow is T1 priority)

RESOLUTION OPTIONS:
- Option A: Accept risk, prioritize GTM (ship #2.2 first)
- Option B: Split #2.2 into MVP + Full (ship #2.2-MVP in Phase 1)
- Option C: Ship #1.1 first, fast-follow with #2.2 (compromise)

Output Format

Include evidence of Notion fetch in output:

markdown
## GTM Alignment

### Data Sources (REQUIRED)

| Source | Status | Evidence |
|--------|--------|----------|
| Personas DB | ✓ Fetched | [N] records from `2b2c4d5e...` |
| GTM Strategy DB | ✓ Fetched | Positioning: "[first 50 chars...]" |

### Persona Tiers (from Notion)

| Tier | Persona | Characteristics |
|------|---------|-----------------|
| T1 | [From Notion] | [From Notion] |
| T2 | [From Notion] | [From Notion] |

### Strategy Fit
- Positioning: [From Notion GTM Strategy]
- Messaging: [Key message this enables]
- Differentiator: [Competitive advantage]

### Persona Coverage

| Phase | Serves Tier | Persona | Can Announce? |
|-------|-------------|---------|---------------|
| 1 | T1 | [Persona from Notion] | Yes/No |
| 2 | T1, T2 | [Personas from Notion] | Yes/No |

### Conflicts & Resolutions

| Conflict | Risk Order | GTM Order | Resolution |
|----------|------------|-----------|------------|
| [Description] | [Sequence] | [Sequence] | [Chosen option] |

Validation Checkpoint

Before proceeding, verify:

  • Personas DB queried successfully (not made up)
  • GTM Strategy DB queried successfully (not made up)
  • Each slice mapped to a real persona from Notion
  • Evidence shown in output (record counts, positioning excerpt)

If any query fails: STOP and report the error. Do NOT proceed with invented data.

Invocation

Invoke manually with "use gtm-alignment skill" or follow Ask mode Phase 2 (CONVERGE) which references this skill.

Related Skills

  • dependency-mapping - Run before GTM alignment
  • problem-framing - Provides persona context
  • phasing - Uses GTM scores for final ordering

Frequently asked questions

What does the Gtm Alignment AI skill do?

Align phases with GTM strategy, persona tiers, and KPI targets

Why use Gtm Alignment on TypingMind?

Because you install it once and use it with any model. Gtm Alignment 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 Gtm Alignment in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/WellApp-ai/Well/tree/main/cursor-rules/skills/gtm-alignment. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Gtm Alignment?

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 Gtm Alignment?

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

Is the Gtm Alignment AI skill free?

Yes. It is published on GitHub by WellApp-ai 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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