Your agent can call ax1om · scoring is live over MCP, free tier included.Start freeAlready have an account?

GTM practice · Free repo

The GTM Repo

Your next session should start with the work, with its context already in place.

A starting point for keeping instructions, current state, reference material and repeatable checks where your agent can find them.

Request access
Inside the foundation Selected files
CLAUDE.md
state/
  condition.md
  board.md
reference/
  work-item.md
  requires.md
execution/
  skills/team/
  recipes/docread/
scripts/
  check_conformance.py
  check_workitem.py
  skill_preflight.py

A place for each kind of knowledge

Instructions that matter in every session belong in a short entry file. Current work belongs on a board. Tool details stay behind pointers until the task needs them. Repeatable work becomes a skill, then a script when its steps can be made deterministic.

The structure is a starting point. Your stack, conventions and recurring work determine what belongs inside it.

What is inside the release candidate

  • A four-layer structure for standing instructions, current state, reference material and execution.
  • Local onboarding that writes an operator profile, records the declared stack and selects the relevant conventions and connector notes after review.
  • Seven declarative, one-way PM mappings for Linear, Jira, Asana, Notion, Monday, ClickUp and GitHub Issues, with dry runs and mock-tested transports.
  • Local document intake and structure advice for plain text, Markdown, HTML, Confluence, Notion exports and Google Docs HTML exports.
  • Snapshot-based marketing operations tools for a dependency graph, declared-versus-snapshot drift and evidence-based wrap.
  • Eight GTM pattern skills plus local recipes for field audits, company deduplication and UTM checks.
  • Checks for artifact conformance, malformed work items, missing completion evidence and stale sourced references.

This is a local first-release candidate. Onboarding does not connect to a platform. PM mappings are one-way projections tested with mocked responses; they still need tenant configuration and live verification before use. The operations graph, drift report and wrap read declared snapshots rather than live systems. Document advice evaluates structure and writes local review files; it does not publish or decide whether the content is correct or current.

KnowledgeHow to handle it
Shared practiceStart with the loading discipline, file shapes and working checks.
Your contextRecord your stack, owners and conventions. These answers come from your team.
External factsKeep a source and verification date. Refresh vendor information instead of treating an old copy as current.
The starter entry file separates current state, reference, execution and archive, and says when to read each layer.
Browser-rendered excerpt of the actual CLAUDE.md at foundation commit e89125c. Open the image to inspect the source text.

Make the failure visible

What can go wrongWhat catches it
The entry file grows with every taskA context-budget check using a stated character-count estimate
Skills acquire different shapesRequired fields and sections checked for conformance
A completed item has no evidenceA board validator that refuses missing evidence
A task starts without a prerequisiteA local access preflight with an actionable refusal
A document conversion drops content or activates an unsafe referencePreservation and output-safety tests across the supported local intake formats

Some checks remain a human responsibility. A credential variable being present does not prove its permissions. Mock tests do not establish a vendor tenant's behavior. A passing test does not prove the test covers the right behavior. Review the evidence at the end of a session and archive material that no longer describes the work.

What one hygiene pass changed

In one internal ax1om repo audit, eager context fell from 14,787 to 4,726 tokens. Session-start reads fell from 26,560 to 6,914 tokens.

Eager context
Before14,787
After4,726
Session-start reads
Before26,560
After6,914
Recorded in the AX-1075 hygiene audit. These are measurements from one repo, not a benchmark of this starter or a prediction of your savings. No multi-repo result is claimed.

Where ax1om fits

The repo organizes agent-assisted work. When that work calls for models trained on your outcome history, ax1om is a modeling engine for AI agents. An ax1om account is not required to use the repo.

Get the repo

Request free, read-only GitHub access. Tell us your GitHub username, company and what you plan to work on. Personal email addresses are welcome.

Enter your username, not a GitHub profile URL.

We will email about this access request even if you do not opt in to news. You decide whether to accept the GitHub invitation. We do not track invitation acceptance.