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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.

assetshealthcare.md

≈524 tokens on demand. Your agent reads this file only when SKILL.md points to it.

Healthcare paid-media planning questions

Status: qualitative, unscored planning aid; not medical, privacy, or legal advice.

Required gates

  • Context gate: identify the provider, service or product, audience, jurisdiction, care setting, objective, conversion, accountable privacy owner, and clinical reviewer.
  • Evidence gate: verify current official source IDs from platforms and regulators, including hhs-tracking-guidance-official when its scope is applicable.
  • Privacy gate: determine whether pages, events, URLs, forms, audiences, or vendor flows could disclose protected or sensitive health information; block uncertain tracking uses.
  • Clinical-claim gate: require approved indication, evidence, limitations, risk language, and qualified review before using outcome or comparative claims.
  • Regulatory gate: identify category, region, certification, targeting, disclosure, accessibility, and emergency-content requirements from current official evidence.
  • Capability gate: keep sensitive data out of unsupported providers, prompts, reports, logs, and account operations.

Planning questions

  • What service or product is offered, to whom, by which authorized entity?
  • Which claims are approved, understandable, balanced, and supported?
  • Which conversion events are useful without exposing health status or treatment interest?
  • Which targeting or creative concepts risk sensitive-trait inference or exploitation?
  • How will consent, vendor access, retention, deletion, incident response, and review work?
  • What should happen when a user may need urgent or professional care rather than an ad?

Candidate considerations

  • Consider education, access, service explanation, and trust hypotheses only after the privacy, clinical, regulatory, and platform gates pass.
  • Separate marketing measurement from medical outcomes and never infer diagnosis.

Output guardrails

  • Return questions, source IDs, approvals, unresolved risks, owners, and stop conditions.
  • Do not prescribe eligibility, targeting, tracking, claims, bids, allocations, or outcomes.

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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