gtm-alignment

gtm-alignment is a skill for Claude Code, Codex from WellApp-ai/Well. It costs 18 tokens per session (1,798 once invoked), scanned A, original, MIT.

A planning aid that matches development phases with go-to-market plans, customer groups, and business targets. It reads persona and strategy data from Notion, a workspace for shared company information.

In plain words
What is it for?
Use it while mapping dependencies, choosing between similarly risky slices, and setting the final phase order. It checks customer tiers, positioning, and KPI-based value.
Why use it?
It helps choose the order of work using real customer and business information instead of guessed priorities. This is useful when several development slices seem equally risky.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it while mapping dependencies, choosing between similarly risky slices, and setting the final phase order. It checks customer tiers, positioning, and KPI-based value.

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Install with agentmods
npx agentmods add skills/wellapp-ai/well/gtm-alignment
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 WellApp-ai/Well --skill gtm-alignment
Clone the repo
git clone --depth 1 https://github.com/WellApp-ai/Well

Made for: Claude Code, Codex.

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 gtm-alignment

README.md
[![agentmods](https://agentmods.dev/badge/skills/wellapp-ai/well/gtm-alignment.svg)](https://agentmods.dev/skills/wellapp-ai/well/gtm-alignment)
Your own site
<a href="https://agentmods.dev/skills/wellapp-ai/well/gtm-alignment"><img src="https://agentmods.dev/badge/skills/wellapp-ai/well/gtm-alignment.svg" alt="Measured on agentmods" height="20"></a>
Per session 18 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,798 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. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
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 $0.00018 $0.01798
Opus 5 $0.00009 $0.00899
Sonnet 5 $0.00004 $0.00360
Haiku 4.5 $0.00002 $0.00180

Measured 8d ago against content hash b4e90b3397f6, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-07, from the pricing page.

Security

Grade A, and why

gtm-alignment 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 8d ago.

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.

cursor-rules/skills/gtm-alignment/SKILL.md · 215 lines

How it starts

The opening of the file, as written. The whole thing — 215 lines — stays where its author put it; the contents beside it link to each section on GitHub.

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

Database ID Purpose
Persona DB 2b1c4d5e-7bea-80ee-85c2-fb96dfdcf98b Persona tiers, RICE scores, characteristics
GTM Strategy 2b2c4d5e-7bea-809d-8c49-cc6b443738df Positioning, 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):

Tier Persona RICE Score Key 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"}

Read the full file on GitHub · 215 lines

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. 8d ago First seen · 215 lines · 18 tokens per session scan A b4e90b3397f6

Subscribe to this mod's changes

gtm-alignment is a skill published in the GitHub repository WellApp-ai/Well (340 stars, last pushed 1mo ago), licensed MIT. It adds 18 tokens to every session and 1,798 once invoked, about $0.0001 per session on Opus 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.