Ads Creative Ideas

Collect and structure ad creative inspiration for Meta (Facebook/Instagram), TikTok Ads, YouTube Ads, Google Ads, and Amazon Ads placements.

Security Scan

This instruction-only skill is internally consistent with its stated purpose (generating ad creative ideas) and does not request unexpected credentials, installs, or system access.

Purpose & Capability

Name/description (ads creative inspiration across platforms) aligns with the SKILL.md content. Required inputs, outputs, workflow, and platform notes are all relevant to creative planning for Meta, TikTok, YouTube, Google, and Amazon ads. There are no surprising environment or binary requirements that don't belong to this domain.

Instruction Scope

SKILL.md contains purely guidance for generating creative briefs, angle/hook libraries, variant matrices, QA checks, and escalation rules. It does not instruct the agent to read local files, access system paths, transmit data to third-party endpoints, or use credentials outside the declared (none). Guardrails explicitly discourage fabricating metrics and require clear separation of facts vs assumptions.

Install Mechanism

No install spec and no code files — the skill is instruction-only, so nothing is written to disk or downloaded. This is the lowest-risk installation model and is proportional to the skill's purpose.

Credentials

The skill requires no environment variables, credentials, or config paths. That is appropriate for an instruction-only creative generation skill that provides planning and copy/asset guidance rather than interacting directly with ad platforms or accounts.

Persistence & Privilege

Defaults allow agent invocation and autonomous use (disable-model-invocation: false) but always:false. Autonomous invocation is the platform default and not inherently problematic here; users should be aware the agent could call the skill when relevant prompts arise.

Assessment

This skill appears coherent and low-risk, but remember: (1) do not share sensitive business credentials, customer PII, or proprietary creative assets unless you trust the environment; (2) treat suggested strategies and metrics as recommendations — validate with platform-specific account data and policy checks before launching; (3) test any recommendations on small budgets or in staging/ad previews first; (4) if you want to limit autonomous invocation, disable model-driven invocation in agent settings or require manual invocation.

Purpose

Core mission:

• hook mining, angle clustering, inspiration board

This skill is specialized for advertising workflows and should output actionable plans rather than generic advice.

When To Trigger

Use this skill when the user asks for:

• ad execution guidance tied to business outcomes
• growth decisions involving revenue, roas, cpa, or budget efficiency
• platform-level actions for: Meta (Facebook/Instagram), TikTok Ads, YouTube Ads, Google Ads, Amazon Ads
• this specific capability: hook mining, angle clustering, inspiration board

High-signal keywords:

• ads, advertising, campaign, growth, revenue, profit
• roas, cpa, roi, budget, bidding, traffic, conversion, funnel
• meta, googleads, tiktokads, youtubeads, amazonads, shopifyads, dsp

Input Contract

Required:

• product_or_offer
• target_audience
• placement_scope

Optional:

• existing_assets
• brand_tone
• prohibited_claims
• creative_constraints

Output Contract

1. Creative Objective
2. Angle and Hook Set
3. Asset Specification
4. Test Variant Plan
5. Creative QA Notes

Workflow

1. Anchor creative goal to funnel stage and KPI.
2. Generate angle family and hook variants.
3. Map each angle to placement format requirements.
4. Define variant matrix and test order.
5. Add quality and compliance checkpoints.

Decision Rules

• If audience is cold, prioritize problem-agitation and proof-first hooks.
• If retargeting stage, prioritize offer clarity and urgency mechanics.
• If format limits are strict, simplify message hierarchy to one CTA.

Platform Notes

Primary scope:

• Meta (Facebook/Instagram), TikTok Ads, YouTube Ads, Google Ads, Amazon Ads

Platform behavior guidance:

• Keep recommendations channel-aware; do not collapse all channels into one generic plan.
• For Meta and TikTok Ads, prioritize creative testing cadence.
• For Google Ads and Amazon Ads, prioritize demand-capture and query/listing intent.
• For DSP/programmatic, prioritize audience control and frequency governance.

Constraints And Guardrails

• Never fabricate metrics or policy outcomes.
• Separate observed facts from assumptions.
• Use measurable language for each proposed action.
• Include at least one rollback or stop-loss condition when spend risk exists.

Failure Handling And Escalation

• If critical inputs are missing, ask for only the minimum required fields.
• If platform constraints conflict, show trade-offs and a safe default.
• If confidence is low, mark it explicitly and provide a validation checklist.
• If high-risk issues appear (policy, billing, tracking breakage), escalate with a structured handoff payload.

Code Examples

Creative Brief Example

creative_id: CR-001
angle: pain_to_outcome
hook: "Stop wasting ad budget in week one"
formats: [9:16_video, 1:1_image]

Variant Matrix

V1: hook_change
V2: CTA_change
V3: visual_proof_change

Examples

Example 1: New hook generation

Input:

• Existing creatives have high frequency fatigue
• Need fresh top-funnel hooks

Output focus:

• new angle families
• hook library
• test priorities

Example 2: Asset adaptation by placement

Input:

• One hero concept, multiple platforms
• Need format-safe variations

Output focus:

• per-platform format specs
• copy-length adaptation
• QA checklist

Example 3: Pre-launch creative scoring

Input:

• 12 creatives pending launch
• Limited review bandwidth

Output focus:

• quality scores
• reject/rework decisions
• launch candidate shortlist

Quality Checklist

• Required sections are complete and non-empty
• Trigger keywords include at least 3 registry terms
• Input and output contracts are operationally testable
• Workflow and decision rules are capability-specific
• Platform references are explicit and concrete
• At least 3 practical examples are included