Ads CRM Leads

Manage ad-generated leads and pipeline routing from Meta (Facebook/Instagram), Google Ads, TikTok Ads, YouTube Ads, and landing-page funnels.

Security Scan

The skill is an instruction-only planner for scoring and routing ad-generated leads and its declared requirements and instructions are coherent with that purpose.

Purpose & Capability

The name and description (lead scoring, routing, SLA, follow-up cadence across ad platforms) match the SKILL.md's workflows and decision rules. The skill does not request unrelated binaries, credentials, or config paths. Minor note: trigger keywords include additional platforms (amazonads, shopifyads, dsp) beyond the 'Primary scope' list — this is a small inconsistency but does not indicate malicious intent.

Instruction Scope

SKILL.md contains only guidance for validating lead schema, scoring, routing, SLAs, and escalation. It does not instruct the agent to read local files, access environment variables, or transmit data to third-party endpoints. The instructions stay within the stated purpose of producing actionable plans rather than performing integrations.

Install Mechanism

No install spec or code files are present (instruction-only). Nothing is written to disk and no external download or package installs are required.

Credentials

The skill declares no required environment variables or credentials, which is proportionate for a planning/consulting skill. If you expect direct platform integration or automated API calls, separate connector code and platform credentials would be needed; their absence here means the skill will not itself access ad platforms.

Persistence & Privilege

always is false and the skill is user-invocable. It does not request persistent system privileges or attempt to modify other skills or system-wide settings.

Assessment

This skill is a planner/consultant that outputs lead-validation, scoring, routing, and SLA recommendations; it does not integrate with ad platforms or request credentials. If you expect automated syncing with Meta/Google/TikTok/YouTube, you'll need a separate connector skill or code that does require platform API keys—review those connectors carefully before providing credentials. Test the skill with synthetic or non-sensitive lead data first, and ensure any real PII is handled according to your privacy and compliance requirements.

Purpose

Core mission:

• lead scoring, routing SLA, follow-up cadence

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), Google Ads, TikTok Ads, YouTube Ads
• this specific capability: lead scoring, routing SLA, follow-up cadence

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:

• lead_source
• lead_payload_fields
• qualification_goal

Optional:

• routing_rules
• response_sla
• pipeline_stages
• crm_constraints

Output Contract

1. Lead Intake Validation
2. Qualification Logic
3. Routing and Ownership Plan
4. Follow-up Cadence
5. Pipeline Risk Alerts

Workflow

1. Validate incoming lead schema and required fields.
2. Score lead quality using explicit rules.
3. Route leads to owner queues by fit and urgency.
4. Define follow-up timeline and SLA checks.
5. Report leakage points and recovery actions.

Decision Rules

• If critical lead fields are missing, route to enrichment queue first.
• If lead intent is high, enforce same-day response rule.
• If low-fit leads dominate, tighten ad targeting and qualification forms.

Platform Notes

Primary scope:

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

Lead Scoring Rule

score = intent_score + fit_score + urgency_score
if score >= 80: route = high_priority

Routing Payload

lead_id: L-20260303-01
route_to: team-a
sla_hours: 4

Examples

Example 1: Lead quality drop

Input:

• Lead volume increased, close rate decreased
• Source: Meta and Google Ads

Output focus:

• scoring rule update
• routing correction
• feedback loop to targeting

Example 2: SLA breach management

Input:

• Sales team delayed first response
• High-intent leads lost

Output focus:

• SLA enforcement plan
• escalation logic
• dashboard metric updates

Example 3: Multi-market lead routing

Input:

• Leads from US and EU mixed in one queue
• Language mismatch issues

Output focus:

• region routing map
• ownership model
• automation rules

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