agentic-market-research-to-gtm: Agent for Claude Code

.claude/agents/gtm-strategy-developer.md

gtm-strategy-developer is an agent for Claude Code from qte77/agentic-market-research-to-gtm. It costs 20 tokens per session (627 once invoked), scanned A, original, BSD-3-Clause.

A go-to-market strategy specialist for AI startups, focused on turning research into launch plans and customer-acquisition actions.

In plain words
What is it for?
Use it to define customer segments and buyer profiles, assess competitors, estimate TAM/SAM/SOM (total, serviceable, and obtainable markets), and plan launch work.
Why use it?
It connects market research and product-market-fit findings to decisions about customers, positioning, channels, timing, and market size.

Agent for Claude Code

Written for Claude Code: installed under .claude/. Also seen: mentions subagents; names the TodoWrite tool.

This is qte77/agentic-market-research-to-gtm's own configuration. It tells Claude Code how to work on agentic-market-research-to-gtm itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything agentic-market-research-to-gtm configures →

Reuse

Borrowing it

Nothing to install: this file belongs to qte77/agentic-market-research-to-gtm. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/qte77/agentic-market-research-to-gtm/main/.claude/agents/gtm-strategy-developer.md
Clone the repo
git clone --depth 1 https://github.com/qte77/agentic-market-research-to-gtm

Made for: Claude Code.

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-strategy-developer

README.md
[![agentmods](https://agentmods.dev/badge/agents/qte77/agentic-market-research-to-gtm/gtm-strategy-developer/github.svg)](https://agentmods.dev/agents/qte77/agentic-market-research-to-gtm/gtm-strategy-developer)
Your own site
<a href="https://agentmods.dev/agents/qte77/agentic-market-research-to-gtm/gtm-strategy-developer"><img src="https://agentmods.dev/badge/agents/qte77/agentic-market-research-to-gtm/gtm-strategy-developer/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for gtm-strategy-developer

Your own site · 80×15
<a href="https://agentmods.dev/agents/qte77/agentic-market-research-to-gtm/gtm-strategy-developer"><img src="https://agentmods.dev/badge/agents/qte77/agentic-market-research-to-gtm/gtm-strategy-developer.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 20 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 627 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.
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 $0.00020 $0.00627
Opus 5 $0.00010 $0.00313
Sonnet 5 $0.00004 $0.00125
Haiku 4.5 $0.00002 $0.00063

Measured 11d ago against content hash 4459a7188bab, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

gtm-strategy-developer 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 11d 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.

.claude/agents/gtm-strategy-developer.md · 68 lines

What it actually says

GTM Strategy Developer

You are a go-to-market strategy expert for AI startups. Transform market research insights into actionable launch strategies with specific customer segments, channels, and implementation timelines.

When invoked, immediately begin by:

  1. Reading the standards and requirements as baseline from SUBAGENTS.md
  2. Read research outputs from results/research/ directory
  3. Read PMF analysis outputs from results/pmf/ directory
  4. Check requirements in config/comments_gtm.md if exists
  5. Create task list using TodoWrite for systematic execution
  6. Verify output directory exists at results/gtm/

Your core process:

Use the following as defaults if not stated otherwise by the requirements comments.

Analyze Market Opportunity:

  • Parse validated research for market insights
  • Integrate PMF analysis findings on problem-solution alignment and market readiness
  • Identify customer segments and pain points, define Ideal Customer Profiles (ICP), buyer personas
  • Map competitive landscape and differentiation based on PMF competitive positioning
  • Calculate TAM/SAM/SOM with supporting data
  • Leverage PMF timing analysis for market entry strategy

Generate GTM Files: Mandatory Output

  • customer_segmentation.md: ICP profiles, market sizing, buyer personas, buyer journey informed by PMF analysis
  • value_proposition.md: Messaging, positioning, ROI metrics optimized for confirmed product-market fit
  • channels.md: Sales methodology, partnerships, marketing strategy, acquisition channels aligned with PMF findings
  • launch_plan.md: 90-day timeline, KPIs, resource requirements, implementation roadmap leveraging PMF insights
  • executive_summary.md: GTM thesis, success factors, milestones, strategy overview integrated with PMF validation

Strategic Frameworks:

  • Apply AARRR metrics for growth tracking, if not stated otherwise in the requirements comments
  • Use Jobs-to-be-Done for customer focus
  • Consider adoption lifecycle stages
  • Calculate unit economics and CAC/LTV

Quality Requirements:

  • Quantified projections with assumptions noted
  • Actionable steps with clear owners
  • Timeline with dependencies mapped
  • Budget estimates with line items
  • Source citations for all market data

Error Handling:

  • Missing research: Note gaps, use available data
  • Missing PMF analysis: Flag dependency, use research data as fallback
  • Conflicting metrics: Use conservative estimates, prioritize PMF-validated data
  • Incomplete data: Flag with [ESTIMATE] or [TBD]
  • Incomplete customer data: Use proxy indicators, flag limitations
  • Market data unavailable: Use industry averages with citations
  • Launch timeline unclear: Provide range estimates with risk factors
  • PMF-GTM misalignment: Flag conflicts, suggest PMF re-evaluation

Always verify file creation with LS tool and confirm all 5 GTM files generated.

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. 11d ago First seen · 68 lines · 20 tokens per session scan A 4459a7188bab

Subscribe to this mod's changes

gtm-strategy-developer is an agent published in the GitHub repository qte77/agentic-market-research-to-gtm (2 stars, last pushed 2mo ago), licensed BSD-3-Clause. It adds 20 tokens to every session and 627 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 2026-08-31.