cancer .coach

Patient empowerment for AI assistants

AI Skills for Patient-Driven Cancer Treatment

Standard care is not the ceiling.

A skill pack for navigating cancer with agency — maximum diagnostics, parallel treatments, regulatory navigation, and systematic monitoring. Built on the framework that took one patient from terminal prognosis to undetectable disease.

Get Started Explore the Skills
Works with
  • Claude
  • Codex
  • Cursor
  • Gemini CLI
  • GitHub Copilot
  • OpenClaw
01

The shift

From passive patient to empowered architect.

Before

Standard Approach

  • Accept the tests your oncologist orders.
  • Try one treatment at a time, sequentially.
  • Wait for your doctor to suggest next steps.
  • Accept “no further options” at face value.
  • Hope someone else is tracking your data.

After

With cancer-coach

  • Request comprehensive molecular profiling from the start.
  • Evaluate parallel treatments with non-overlapping toxicity.
  • Explore expanded access, clinical trials, and experimental therapies.
  • Build a multidisciplinary team across institutions.
  • Systematically track every biomarker, scan, and treatment response.

Informed. Empowered. Systematic.

02

The framework

Four phases, one strategist, one path forward.

Master orchestrator

cc-strategist

Start here for new diagnoses, cross-phase decisions, and founder-mode coaching. It routes you to the right skill at the right time in your journey.

Assess

Molecular profiling, genomic sequencing, staging, diagnostic strategy.

Treat

Treatment architecture, parallel therapies, personalized medicine, evidence evaluation.

Navigate

Clinical trials, expanded access, team assembly, insurance, tissue rights.

Monitor

MRD testing, imaging cadence, biomarker tracking, response assessment.

03

The skill set

Five skills that cover the full patient journey.

Start here

cc-strategist

End-to-end journey orchestration, founder-mode coaching, cross-phase routing, and cancer-type playbooks.

The senior navigator in the system. It understands where you are in your cancer journey, which decisions are coupled across phases, and when to escalate or pivot.

Example prompt

Use the cc-strategist skill. I was recently diagnosed with
stage III osteosarcoma. Help me understand my options and
build a plan for taking an active role in my treatment.

Phase 1

cc-assess

Maximum diagnostics strategy, molecular profiling decisions, genomic interpretation, and staging frameworks.

  • Guides you from standard imaging to comprehensive genomic profiling
  • Decision trees for WGS vs WES vs panel testing
  • Frameworks for interpreting results with your oncologist

Example prompt

Use the cc-assess skill. My oncologist ordered a CT scan
but I want to understand what genomic profiling options
I should be requesting for recurrent osteosarcoma.

Phase 2

cc-treat

Treatment architecture, parallel therapy frameworks, personalized medicine, and evidence evaluation.

  • Evaluates parallel treatments with non-overlapping toxicity profiles
  • Covers checkpoint inhibitors, vaccines, CAR-T, radioligand therapy
  • Standard-of-care vs experimental decision frameworks

Example prompt

Use the cc-treat skill. My cancer recurred after standard
chemotherapy. Help me evaluate whether parallel treatment
approaches might be appropriate for my situation.

Phase 3

cc-navigate

Expanded access pathways, clinical trial search, team assembly, insurance navigation, and data rights.

  • Step-by-step expanded access and single-patient IND guidance
  • Clinical trial search strategies and eligibility assessment
  • Team assembly framework for multidisciplinary care

Example prompt

Use the cc-navigate skill. I need to find clinical trials
for recurrent osteosarcoma and understand how to apply for
expanded access to experimental immunotherapies.

Phase 4

cc-monitor

MRD testing, imaging schedules, biomarker tracking, response assessment, and health data organization.

  • Monitoring cadence frameworks by treatment phase
  • Signal vs noise frameworks for interpreting trends
  • Personal health data organization templates

Example prompt

Use the cc-monitor skill. Help me set up a monitoring
protocol to systematically track MRD, imaging, and
biomarkers between my treatment cycles.
04

The principles

Four ideas that change how you fight cancer.

Maximum Diagnostics

Every piece of information about your cancer is potentially actionable. Don't settle for the minimum workup when molecular profiling, genomic sequencing, and liquid biopsies might reveal targets that standard tests miss.

Parallel Over Sequential

When standard care has failed and time is limited, testing multiple therapeutic hypotheses simultaneously — with non-overlapping toxicity — can compress months of trial-and-error into weeks of informed iteration.

Founder Mode

You are not a passive recipient of medical care. You are the architect of your treatment strategy. Your medical team provides expertise; you provide direction, coordination, and the determination to explore every option.

Radical Transparency

Your medical data belongs to you. Organizing it, understanding it, and sharing it with your full team — and potentially with the research community — creates better decisions and advances science for future patients.

05

Get started

One command. Every major AI harness.

Install the full patient empowerment framework, then start with cc-strategist or run /cc-teach to capture your diagnosis context first.

  • Works with Claude, Codex, Cursor, Gemini CLI, and OpenClaw-compatible setups
  • Portable anywhere the skills standard is supported
  • Grounded in real patient advocacy frameworks and oncology navigation
  • Built to help patients learn, not replace medical professionals

Install

npx skills add cancer-coach/skills

Manual installation is also available if you prefer to extract the skill folders directly into your project.

06

Frequently asked

For patients moving from diagnosis to action.

Who is this for?

Cancer patients, caregivers, and patient advocates who want to take an active, informed role in treatment decisions using the AI tools they already have access to.

Is this medical advice?

No. These skills provide frameworks for patient empowerment and education — helping you understand your options and ask better questions. All medical decisions should be made with your qualified healthcare team.

What is the “founder mode” approach?

Coined by Sid Sijbrandij (GitLab co-founder), it means treating your cancer like an engineering problem: gathering maximum information, assembling the right team, testing hypotheses in parallel, and iterating based on data. It's about taking agency, not replacing your doctors.

Where should I start?

Start with cc-strategist. If you want more tailored guidance, run /cc-teach first to capture your diagnosis, staging, treatments, and goals before working through any phase skill.

Do I need a technical background?

No. The skills are designed to make complex oncology concepts accessible. They translate medical jargon into clear frameworks and give you specific questions to ask your medical team.