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Executive growth summary

Skill duandigi/duandigi-growth-marketing-skill/skills/executive-growth-summary

Evidence-first AI Agent Skills for growth marketing — multi-channel analytics (SEO, paid media, social, local search, CRM), secure account integration, AI evaluation, experimentation & approval-safe optimization for Claude Code.

Install
npx -y skills add duandigi/duandigi-growth-marketing-skill --skill executive-growth-summary

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

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  • 25 days oldThe repository was created 25 days ago. New is not bad, but a brand new repository carrying a familiar-sounding name is the shape a typosquat arrives in, and there has been no time for anyone else to find a problem with it.
  • 0 stars0 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 author says it does

Copied from the file, not written here

Use this skill when producing a daily alert, weekly growth review, monthly executive review, client report, or portfolio briefing from validated multi-channel evaluations and experiment results.

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

3.4 KB, as published. Nobody here has run it

Executive Growth Summary

Purpose

Turn complex channel and funnel evidence into a concise decision brief for owners, executives, clients, and operators.

Inputs

  • Validated project and portfolio evaluations
  • Channel findings, anomalies, health scores, experiments, and approvals
  • Business goals, audience, reporting period, and decision cadence
  • Known data gaps, connection health, and previous commitments

If a required input is unavailable, label it unknown, state how it limits the decision, and create a collection, mapping, validation, or instrumentation task. Never invent credentials, assets, metrics, permissions, or business outcomes.

Workflow

  1. Define the audience, reporting period, comparison, and decisions required.
  2. Lead with customer value, qualified outcomes, revenue, efficiency, risk, and major changes.
  3. Summarize channel contributions without repeating every metric.
  4. Explain why material changes likely occurred and state confidence and alternatives.
  5. Report experiment decisions, unresolved issues, and learning that changes the playbook.
  6. Limit priorities to actions with an owner, expected mechanism, evidence, and approval state.
  7. Separate facts, interpretation, decisions, and appendices.

Required output

Return a concise, decision-oriented result containing:

  • Executive summary and key decisions
  • What changed, why, and business impact
  • Portfolio and project priorities
  • Channel and funnel highlights
  • Experiment results, risks, approvals, and next actions
  • Data-quality and confidence note

Label material statements as confirmed, calculated, inferred, assumed, or unknown. Include the data period, last complete period, source lineage, and confidence whenever they can change the decision.

Guardrails

  • Do not bury critical tracking, compliance, spend, or revenue risks.

  • Do not fill the report with channel metrics that do not affect a decision.

  • Do not present AI interpretation as confirmed fact.

  • Do not expose credentials, personal lead data, or confidential client details beyond the audience’s authorization.

  • Do not claim guaranteed growth or present an estimate as observed fact.

  • Do not reveal secrets, personal data, private provider payloads, or cross-project information.

  • When an action can spend money, publish, contact people, alter access, modify production, or delete data, prepare an approval request instead of executing automatically.

Completion check

Before finishing, verify that the output:

  • answers a specific business or implementation decision;
  • uses the correct organization, project, asset, date range, time zone, and currency;
  • separates performance problems from data, connection, and attribution problems;
  • includes evidence, uncertainty, affected scope, and a measurable next step;
  • respects least privilege, approval, audit, and rollback requirements;
  • is no longer than necessary for the decision.

Keep looking

Skills are one crate of 328,083. Ordering is by how many stacks a row turns up in, so the top of any crate is what has actually been picked rather than what has the most stars.