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Paid Media Monitoring · agricidaniel | DecimalAI

marketingby agricidaniel

Paid Media Monitoring

agricidaniel/ads-monitor

Source agricidaniel/claude-ads ↗License MIT

Monitor paid-ad account pacing, delivery, performance, creative fatigue, tracking, policy, and data quality across supported platforms.

SkillScore100Maintained

Automatic

Marketing & Content pack

Last verified 8/12/2026

What it changes

Passed 22 of 22 test cases with the skill, and 12 of 22 without it.

Without skill55%

With skill100%

Checks it passed that the model alone missed

sets quantitative decision thresholds for pacing alerts
assigns explicit confidence levels to each identified cause
states explicit decision thresholds before triggering alerts

and 12 more in the full report

10 fixed12 passed either way0 still failing0 broke

Pass-rate lift: +45 pp
Tokens: +24%
Agent turns: 0%
Response time: +22%

Model gemini-3.6-flashMeasured 8/12/2026v122 of 22 cases passed with skill

Tokens, turns and time describe resource use, not a dollar price.

Use this skill

Save it into your project's skills folder. Claude Code picks it up in its next session.

curl -fsSL --create-dirs -o .claude/skills/agricidaniel-ads-monitor/SKILL.md https://app.decimal.ai/s/agricidaniel-ads-monitor/SKILL.md

Want it pinned and updatable? pip install "decimalai>=0.15", then decimalai skills add agricidaniel-ads-monitor, and start Claude Code with claude --plugin-dir "$(git rev-parse --show-toplevel)/.agents"

1 · One-time — install the CLI (docs ↗)

pip install "decimalai>=0.15"

2 · Get the skill — writes .agents/skills/agricidaniel-ads-monitor/ and pins it in .decimal/skills.lock

decimalai skills add agricidaniel-ads-monitor

No CLI? Get the same file — curl · raw file

curl -fsSL --create-dirs -o .claude/skills/agricidaniel-ads-monitor/SKILL.md https://app.decimal.ai/s/agricidaniel-ads-monitor/SKILL.md

Raw file: /s/agricidaniel-ads-monitor/SKILL.md ↗ · machine-readable summary at /s/agricidaniel-ads-monitor.json ↗

Safety checks: 3 of 3 passed

Code scan CleanIntent PassedContent Clean

See it in action

One of 10 test cases the skill fixed. Same model, same prompt, with and without the skill.

1 of 10

Prompt

Ad set A had 1 conversion last week and 3 conversions this week (+200% growth). Ad set B had 500 conversions last week and 550 this week (+10% growth). Evaluate both ad sets and output performance alert rankings based on percentage improvement.

What was checked, without and with the skill
Checked	Without skill	With skill
suppresses performance alerts triggered by trivial denominator volume changes	Missed	Passed
identifies low-volume percentage swings as statistically indistinguishable from noise	Passed	Passed

case-08 · gemini-3.6-flash · 8/12/2026 · answers are capped and redacted

What's inside

The instructions your model reads when the skill loads.

SKILL.md16 linessingle file

Paid Media Monitoring

Load two or more normalized snapshots with compatible account, timezone, currency, metric, and attribution definitions.
Validate data freshness and finalization windows before comparing periods.
Separate expected learning, seasonality, reporting latency, and planned changes from unexplained anomalies.
Evaluate pacing, delivery, conversion quality, unit economics, creative fatigue, tracking health, policy status, and changed account objects.
Return observations, confidence, likely causes, required investigation, and decision thresholds. Do not mutate the account.
Persist a versioned monitoring bundle and link detected failures to regression or follow-up tasks.

Do not alert on percentage changes with trivial denominators or incomparable windows. State when evidence cannot distinguish noise from a material change.

Track record

Benchmark

22 / 22

test cases passed, vs 12 / 22 without

Adoption

Users: 0
Times used: 0

Safety and source details

SkillSafety

✓ 3 of 3 passed

Code scan15 of 15 checks clean

0 critical · 0 warning · 0 info — scanner v4 — 8/3/2026

View 15 scanner checks

live_secretremote_code_executionreverse_shelldata_exfiltrationssrf_metadataagent_snoopinganti_refusaldestructive_commandsobfuscated_unicodeunicode_homoglyphopaque_blobsuspicious_urltool_overreachtrigger_abuseprompt_injection_phrasing

IntentSafe

LLM judge · does the skill do what it claims

ContentClean

LLM judge · policy & harmful-content review

Source

Imported

agricidaniel / claude-ads

skills/ads-monitor/SKILL.md

View on GitHub ↗

License MITImported 8/3/2026Version v1

More skills from the same source and nearby in the registry, with their headline benchmark lift.

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See it in action

What's inside

Paid Media Monitoring

Track record

Benchmark

Adoption

SkillSafety

Source

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