Create a professional paid-advertising strategy covering objectives, economics, platform selection, campaign architecture, audiences, budget, creative, measurement, experiments, governance, rollout, and reporting.
SkillScore45Maintained
Automatic
◆Marketing & Content pack
Last verified 9/19/2026
What it changes
Passed 10 of 22 test cases with the skill, and 3 of 22 without it.
Without skill14%
With skill45%
Checks it passed that the model alone missed
Every action item specifies an explicit guardrail.
Every action item specifies an explicit exit trigger.
Every action item specifies an explicit rollback condition.
and 10 more in the full report
8 fixed2 passed either way11 still failing1 broke
Pass-rate lift
+32 pp
Tokens
+29%
Agent turns
0%
Response time
+62%
Model gemini-3.6-flashMeasured 9/19/2026v210 of 22 cases passed with skill
Tokens, turns and time describe resource use, not a dollar price.
See it in action
One of 8 test cases the skill fixed. Same model, same prompt, with and without the skill.
1 of 8
Prompt
Our B2B software company wants to acquire mid-market clients across digital advertising platforms. We have defined our customer profile and target contract values, but we need a comprehensive media strategy that maps out our audience targeting, creative hypotheses, pacing, and measurement framework. Please generate a detailed paid advertising blueprint with phased prerequisites, risk controls, and task owners, formatted in both text and JSON.
What was checked, without and with the skill
Checked
Without skill
With skill
The plan identifies missing Meta pixel history as a cold-start state requiring measurement validation.
Missed
Passed
Every action item specifies an explicit exit trigger.
Missed
Passed
The response provides both a human text plan and canonical JSON output.
Missed
Passed
case-02 · gemini-3.6-flash · 9/19/2026 · answers are capped and redacted
What's inside
The instructions your model reads when the skill loads.
SKILL.md26 lines13 files
Paid Media Plan
Read the setup profile, business economics, evidence, current account state, and
relevant industry template as optional input.
Define objective, customer, offer, conversion, value, constraints, geography,
regulated category, time horizon, and success criteria.
Evaluate channel roles and exclusions from first principles; do not require every
supported platform. For a channel outside the twelve-platform contract, load
ads/references/additional-platforms.md and return a research lead unless
its current buying, eligibility, measurement, and creative evidence is present.
Before proposing Meta budgets, learning-phase expectations, bidding,
consolidation, or performance forecasts, collect the account, Pixel, and
conversion cold-start dimensions per the contract in
skills/ads-meta/SKILL.md. When any dimension is cold or unknown, plan
for measurement validation, explicit creative hypotheses, staged reversible
tests, and confidence labels; do not apply mature-account benchmarks to
missing history.
Specify campaign architecture, audience strategy, creative system, budget and
pacing, measurement, experiments, policy controls, and operating cadence.
Phase prerequisites before launch, learning, optimization, and scale.
Assign every action an owner, timing, dependency, guardrail, evidence, success
measure, and rollback or exit condition.
Return canonical JSON and render the requested human plan.
A plan is advisory. It becomes an account change only through launch or optimize
mutation gates.