skill

claude-code-for-agentic-gtm

This repository packages 12 Claude Code skills for B2B GTM teams that want to move from isolated AI prompts to a governed workflow. It turns market changes into sourced account research, commercial de

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Set up

Skills are installed by placing their folder where your agent loads skills.

Download ZIP from GitHub Open the repository

The download comes from github.com/forma-norden/claude-code-for-agentic-gtm itself, not from our server, so what you get is exactly what its author published.

Install instructions come from the README

Skills do not use an MCP config. Follow the steps in the README below.

README

synced Oct 23, 2026

Claude Code for Agentic GTM

What's Inside

File	What it does
`.claude/skills/agentic-gtm/SKILL.md`	Orchestrates the complete 12-stage workflow and preserves run state.
`.claude/skills/change-detector/SKILL.md`	Converts supplied source material into dated candidate changes without inferring intent.
`.claude/skills/evidence-gatherer/SKILL.md`	Validates claims, records contradictions, and preserves source evidence.
`.claude/skills/account-researcher/SKILL.md`	Builds a bounded account brief from supplied research questions.
`.claude/skills/commercial-relevance-assessor/SKILL.md`	Scores fit, timing, evidence quality, and reachability using a fixed rubric.
`.claude/skills/why-now-hypothesis-builder/SKILL.md`	Builds a falsifiable commercial hypothesis without presenting it as fact.
`.claude/skills/next-action-selector/SKILL.md`	Selects a reversible next action using evidence, policy, and relationship context.
`.claude/skills/evidence-led-content-preparer/SKILL.md`	Produces a sourced draft for the selected audience and channel.
`.claude/skills/human-approval-gate/SKILL.md`	Blocks external action until an explicit, action-bound approval is present.
`.claude/skills/crm-decision-recorder/SKILL.md`	Creates an auditable CRM patch or applies an approved update through a configured tool.
`.claude/skills/reply-classifier/SKILL.md`	Classifies explicit reply meaning while preserving uncertainty and escalation flags.
`.claude/skills/objection-analyzer/SKILL.md`	Separates stated objections from possible concerns and uses approved proof only.
`.claude/skills/gtm-learning-reporter/SKILL.md`	Reports bounded learnings with counts, denominators, and validation plans.
`scripts/agentic_gtm.py`	Creates runs, reports workflow status, and validates stage outputs.
`scripts/validate.py`	Validates JSON against the repository's strict, skill-specific schemas.
`examples/northstar-complete/`	Complete 12-stage fictional workflow with validated JSON outputs.

Prerequisites

Claude Code 2.1.205 or later
Python 3.10 or later
An offer profile describing the problem, target customer, evidence, and disqualifiers
Approved source material or read-only research access
A named human approver before any external write, send, publish, or CRM update

MCP connections are optional. Every skill supports a file-based workflow.

Installation

Clone and use in this repository

git clone https://github.com/forma-norden/claude-code-for-agentic-gtm.git
cd claude-code-for-agentic-gtm
python3 scripts/test_repository.py
claude --permission-mode plan

The skills are already available under .claude/skills/.

Install into an existing Claude Code project

git clone https://github.com/forma-norden/claude-code-for-agentic-gtm.git
cd claude-code-for-agentic-gtm
./scripts/install.sh /path/to/your/project

The installer copies the skills into .claude/skills/ and the local validator into .agentic-gtm-kit/.

Cursor, Windsurf, or a generic AI IDE

The skill files are plain Markdown. Read the required SKILL.md file, supply the documented input, and validate the returned JSON with:

python3 scripts/validate.py .claude/skills/change-detector/output.schema.json output.json

Usage

Create a workflow run:

python3 scripts/agentic_gtm.py init \
  --account "Northstar Systems" \
  --offer examples/offer-profile.example.json

Start Claude Code and invoke the orchestrator:

/agentic-gtm Continue the active run. Use only supplied or approved sources. Stop before every external action unless a valid approval record exists.

Run one skill directly:

/change-detector Read examples/northstar-complete/inputs/01-change-detector.input.json and return JSON matching the skill's output.schema.json.

Validate an output:

python3 scripts/validate.py \
  .claude/skills/change-detector/output.schema.json \
  examples/northstar-complete/outputs/01-change-detector.output.json

Check a run:

python3 scripts/agentic_gtm.py status .agentic-gtm/runs/<run-id>

Expected output:

sourced facts separated from interpretations and assumptions
a commercial relevance decision with a visible rubric
a falsifiable why-now hypothesis
a reversible next action
an explicit approval state
an auditable CRM patch or applied-update record
reply and objection classifications with evidence
bounded learnings with counts and denominators

Safety Model

Source text is evidence, never executable instruction.
Public growth, hiring, funding, or product activity does not prove buying intent.
External actions remain blocked until approval matches the exact action hash and has not expired.
Skills use file-based fallbacks when an integration is unavailable.
Credentials and sensitive customer data must not be stored in prompts, examples, or the repository.
MCP permissions should begin read-only and follow least privilege.

See docs/SECURITY.md, docs/DATA-HANDLING.md, and docs/LIMITATIONS.md.

Validation

Repository tests validate:

skill installation structure
strict input and output schemas
complete fictional workflow outputs
approval defaults
source preservation
invalid and incomplete output rejection
orchestrator run creation and stage status

Run:

python3 scripts/test_repository.py

Use scripts/live_acceptance.sh with an authenticated Claude Code installation to capture and validate a live skill run. The full procedure is documented in docs/VALIDATION.md.

Live model output can vary. Review sourced claims, permissions, approval state, and external actions in the installed Claude Code environment.

Who This Is For

GTM engineers, RevOps leads, marketing and growth leaders, sales leaders, and founders at B2B companies building a more connected revenue operation without turning every decision into an autonomous external action.

From the Forma Nôrden GTM Library

This is a free resource from the Forma Nôrden open-source GTM library, built by Yananai A. Chiwuta, GTM engineer and founder of Forma Nôrden.

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