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/ads-plan

@c046344
by Agrici.Danielagricidaniel/claude-ads9.7k stars
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Create a professional paid-advertising strategy covering objectives, economics, platform selection, campaign architecture, audiences, budget, creative, measurement, experiments, governance, rollout, and reporting. Use for ad plan, media plan, PPC strategy, paid-social strategy, campaign architecture, advertising roadmap, or channel planning.

Use this Skill: https://skilld.dev/gh/agricidaniel/claude-ads/ads-plan

This session only. Nothing lands on disk.

assetsmobile-app.md

≈537 tokens on demand. Your agent reads this file only when SKILL.md points to it.

Mobile-app paid-media planning questions

Status: qualitative, unscored planning aid.

Required gates

  • Context gate: identify the app, stores, operating systems, regions, business model, audience, objective, approved in-app outcomes, release state, and budget authority.
  • Evidence gate: use current store, platform, measurement, privacy, and current official source IDs; treat operating-system and attribution behavior as time-sensitive.
  • Privacy gate: document consent, age handling, device and account identifiers, event minimization, partner access, retention, deletion, and regional restrictions.
  • Measurement gate: distinguish store view, install, registration, activation, purchase, subscription, retention, refund, and reconciled value without treating install as value.
  • Capability gate: verify current deep-link, store-page, attribution, audience, creative, and campaign eligibility for each platform and region.
  • Regulatory gate: identify category, child safety, health, finance, gaming, subscription, disclosure, and store-policy risks and route uncertainty to qualified review.

Planning questions

  • Which post-install outcome represents real user and business value?
  • Which events are reliable, consented, deduplicated, and comparable across systems?
  • How do onboarding, paywall, product quality, store listing, and deep links affect the plan?
  • Which creative claims match the current app experience and store metadata?
  • Which acquisition and re-engagement audiences are eligible and privacy-safe?
  • How will delayed, aggregated, modeled, or missing attribution be disclosed?
  • What would cause a campaign or measurement proposal to remain provisional?

Candidate considerations

  • Consider intent, discovery, store, social, and re-engagement roles as hypotheses.
  • Compare cohorts and downstream value only when definitions and windows are compatible.

Output guardrails

  • Return qualitative choices, data gaps, source IDs, owners, and verification needs.
  • Do not prescribe platform shares, event-volume thresholds, bid strategies, attribution windows, retention targets, or value ratios.

Source: SKILL.md on GitHub

1 warning16d5 checks · Risk SAFE
  • Gen Agent Trust Hub16d

    The skill provides comprehensive instructional templates for creating professional advertising plans across various industries. No malicious patterns, command execution, or unauthorized data access were detected.

  • Socket16d

    No alerts

  • Snyk16d

    Risk: LOW · No issues

  • Runlayer7mo

    12/12 files flagged

  • ZeroLeaks5mo

    Score: 93/100 · 2 sections analyzed

Signed by skilld at c046344. This ties the file your Agent reads to that commit on GitHub. It does not review the instructions.

Last checked against GitHub 3 weeks ago.

Activeupdated 3 weeks ago

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