Skills for Real Engineers. Straight from my .agents directory.
ads-plan
Agent skill fromAgriciDaniel/claude-ads
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.
How to install ads-plan
npx skills add AgriciDaniel/claude-ads# or add only this skill to Claude Code: copy the folder
skills/ads-plan/
# into
~/.claude/skills/ads-plan/ (all projects)
.claude/skills/ads-plan/ (one project)
1# Paid Media Plan231. Read the setup profile, business economics, evidence, current account state, and4 relevant industry template as optional input.52. Define objective, customer, offer, conversion, value, constraints, geography,6 regulated category, time horizon, and success criteria.73. Evaluate channel roles and exclusions from first principles; do not require every8 supported platform. For a channel outside the twelve-platform contract, load9 `ads/references/additional-platforms.md` (resolve it from the plugin root, the directory that holds `ads/` and `skills/`, or from the skills directory in a standalone install) and return a research lead unless10 its current buying, eligibility, measurement, and creative evidence is present.114. Before proposing Meta budgets, learning-phase expectations, bidding,12 consolidation, or performance forecasts, collect the account, Pixel, and13 conversion cold-start dimensions per the contract in14 `skills/ads-meta/SKILL.md`. When any dimension is cold or `unknown`, plan15 for measurement validation, explicit creative hypotheses, staged reversible16 tests, and confidence labels; do not apply mature-account benchmarks to17 missing history.185. Specify campaign architecture, audience strategy, creative system, budget and19 pacing, measurement, experiments, policy controls, and operating cadence.206. Phase prerequisites before launch, learning, optimization, and scale.21…
Excerpt shown under the repository's MIT license.
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