Growth engineering brief
Skill duandigi/duandigi-growth-marketing-skill/skills/growth-engineering-brief
Use this skill when translating a growth hypothesis into an implementation-ready brief for a landing page, free tool, calculator, onboarding change, tracking event, CRM automation, referral mechanism, integration, or WordPress change.From its SKILL.md
npx -y skills add duandigi/duandigi-growth-marketing-skill --skill growth-engineering-briefAssembled from the repository path, not quoted from the project. Check it against their README if it does not work.
One thing to look at
- 1 stars1 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.
What its file declares
Copied from the file, not written here
The file declares its own license as MIT. That is the author’s claim about this one file, and it is not the same thing as the license GitHub reports for the repository, which is listed with the other numbers below.
SKILL.md
2.8 KB, 445 tokens by cl100k_base, as published. Nobody here has run it
Growth Engineering Brief
Purpose
Bridge growth strategy and safe technical execution with measurable acceptance criteria.
Inputs
- Approved hypothesis and experiment design
- Current system and constraints
- Tracking requirements
- Security, privacy, accessibility, rollback, and approval rules
If critical input is unavailable, label it unknown and create a research or instrumentation task. Do not invent values.
Workflow
- Define the user problem, target behavior, and experiment mechanism.
- Describe scope, non-scope, user flow, states, content, data, and integrations.
- Specify analytics events, properties, identity rules, consent, and QA queries.
- Define acceptance criteria for function, tracking, accessibility, performance, and SEO where relevant.
- List failure modes, security concerns, data retention, and platform-policy constraints.
- Design feature flags, backups, rollback, and approval checkpoints.
- Return an implementation brief; do not execute production changes unless separately authorized.
Required output
Return a concise, decision-oriented response containing:
- Problem and hypothesis
- Functional scope
- User flow
- Data and tracking
- Acceptance criteria
- Risks
- Launch and rollback plan
Label important statements as confirmed, inferred, assumed, or unknown when the distinction affects the decision.
Guardrails
Do not:
-
Writing code before requirements and tracking are clear
-
Storing secrets in the brief
-
Shipping without rollback
-
Claim guaranteed growth or present an estimate as observed fact.
-
Recommend spam, fake reviews, impersonation, deceptive urgency, dark patterns, policy evasion, or unauthorized production changes.
-
Hide material uncertainty, tracking limitations, or possible harm.
When an action can spend money, publish content, contact people, change production systems, delete data, or alter access, produce a plan and request explicit authorization rather than executing automatically.
Completion check
Before finishing, verify that the output:
- answers a specific growth decision;
- uses the supplied business context;
- separates evidence from assumptions;
- defines a measurable next step;
- includes risks, constraints, and missing data;
- is no longer than necessary for the decision.
What ships with it: 1 file
1.3 KB alongside SKILL.md
evals/
- evals.json1.3 KB