技能详情（站内镜像，无评论）
许可证：MIT-0
MIT-0 ·免费使用、修改和重新分发。无需归因。
版本：v1.1.0
统计：⭐ 0 · 515 · 2 current installs · 3 all-time installs
⭐ 0
安装量（当前） 3
🛡 VirusTotal ：良性 · OpenClaw ：可疑
Package：1kalin/afrexai-ad-ops
安全扫描（ClawHub）
- VirusTotal ：良性
- OpenClaw ：可疑
OpenClaw 评估
The skill claims autonomous cross-platform ad management, but the instructions are only playbooks/templates and contain no integration steps, credentials, or installable code — the claimed capability does not match what the skill actually provides.
目的
The name and description promise autonomous management across Google Ads, Meta, LinkedIn, TikTok, and programmatic. However, the skill is instruction-only and does not request any platform credentials, API keys, or binaries, nor does it provide concrete integration steps (API calls, OAuth flows, or connectors). That mismatch suggests the skill is a playbook/templates bundle rather than an actual autonomous integrator, or that crucial integrati…
说明范围
SKILL.md contains frameworks, audit checklists, optimization rules, and reporting templates — all benign on their face — but it also makes broad claims about turning an agent into an autonomous ad ops manager 'without touching a dashboard' while giving no concrete runtime instructions for executing changes on ad platforms. The prose is high-level and open-ended, which grants an agent broad discretion (e.g., 'rebalance weekly') without specifyi…
安装机制
There is no install spec and no code files. From an install point of view this is low-risk: nothing is downloaded or written to disk by the skill itself.
证书
The skill declares no required environment variables, no credentials, and no config paths. This is proportionate to the actual content (playbooks/templates). However, it contrasts with the described capability (platform integrations), which would normally require credentials — the absence of requested credentials is a notable mismatch but not itself an overreach.
持久
Flags show defaults: not always-on, user-invocable, and model invocation enabled. There is no indication the skill requests persistent system presence or manipulates other skills or system-wide settings.
安装（复制给龙虾 AI）
将下方整段复制到龙虾中文库对话中，由龙虾按 SKILL.md 完成安装。
请把本段交给龙虾中文库（龙虾 AI）执行：为本机安装 OpenClaw 技能「Ad Ops & Cross-Channel Advertising Agent」。简介：Manages and optimizes cross-channel ad campaigns autonomously with planning, au…。
请 fetch 以下地址读取 SKILL.md 并按文档完成安装：https://raw.githubusercontent.com/openclaw/skills/refs/heads/main/skills/1kalin/afrexai-ad-ops/SKILL.md
（来源：yingzhi8.cn 技能库）SKILL.md
# Ad Ops & Cross-Channel Advertising Agent
Autonomous advertising operations framework for AI agents managing campaigns across Google Ads, Meta, LinkedIn, TikTok, and programmatic.
## What This Skill Does
Turns your agent into an ad ops manager that can plan, audit, optimize, and report on cross-channel advertising — without touching a dashboard.
## Capabilities
### Campaign Architecture
- **Channel Selection Matrix** — Score 8 channels (Google Search, Display, Meta, Instagram, LinkedIn, TikTok, Programmatic, YouTube) across 6 factors: CPL range, intent level, audience precision, creative complexity, minimum viable budget, time-to-signal
- **Budget Allocation Framework** — 70/20/10 rule: 70% proven channels, 20% scaling channels, 10% experimental. Rebalance weekly based on CPA trends
- **Campaign Naming Convention** — `{brand}_{channel}_{objective}_{audience}_{geo}_{date}` — enforced across all platforms for clean reporting
### Performance Audit (Run Weekly)
1. **Spend Efficiency** — Flag any campaign with CPA >2x target or ROAS <1.5x
2. **Budget Pacing** — Alert if any channel is >110% or <80% of weekly pace
3. **Creative Fatigue** — Flag ads with CTR decline >20% over 14 days
4. **Audience Overlap** — Identify cross-channel audience collision (Meta + Google remarketing competing)
5. **Landing Page Alignment** — Check bounce rate by ad-to-page combination; flag >65%
### Optimization Playbook
| Signal | Action | Timeline |
|--------|--------|----------|
| CPA rising, CTR stable | Audience fatigue — refresh targeting | 48 hours |
| CPA rising, CTR falling | Creative fatigue — new variants | 24 hours |
| High CTR, low conversion | Landing page mismatch — A/B test | 72 hours |
| Low impression share | Budget cap or bid floor — increase or restructure | Same day |
| One channel dominates ROAS | Scale budget 20% weekly until CPA ceiling | Weekly |
### Budget Framework by Company Size
| Company Size | Monthly Ad Budget | Channels | Expected Pipeline |
|-------------|-------------------|----------|-------------------|
| Startup (1-10) | $2,000-$5,000 | 2 channels max | $20K-$50K |
| Growth (11-50) | $5,000-$25,000 | 3-4 channels | $50K-$250K |
| Scale (51-200) | $25,000-$100,000 | 5-6 channels | $250K-$1M |
| Enterprise (200+) | $100,000+ | Full stack | $1M+ |
### Channel-Specific Benchmarks (B2B SaaS, 2026)
| Channel | Avg CPC | Avg CPL | Avg CTR | Conv Rate |
|---------|---------|---------|---------|-----------|
| Google Search (branded) | $2-$5 | $15-$40 | 4-8% | 8-15% |
| Google Search (non-brand) | $5-$15 | $40-$120 | 2-4% | 3-6% |
| LinkedIn Sponsored | $8-$14 | $75-$200 | 0.4-0.8% | 2-4% |
| Meta (B2B lookalike) | $1-$4 | $30-$80 | 0.8-1.5% | 3-5% |
| Programmatic Display | $0.50-$2 | $50-$150 | 0.1-0.3% | 1-2% |
| YouTube Pre-roll | $0.03-$0.08/view | $80-$200 | 0.5-1% | 1-3% |
| TikTok (B2B emerging) | $1-$3 | $40-$100 | 1-2% | 2-4% |
### Reporting Template (Weekly)
```
WEEKLY AD OPS REPORT — Week of [DATE]
TOTAL SPEND: $[X] ([+/-]% vs budget)
TOTAL LEADS: [X] (Blended CPL: $[X])
TOTAL PIPELINE: $[X] (ROAS: [X]x)
BY CHANNEL:
[Channel] — $[spend] | [leads] leads | $[CPL] CPL | [ROAS]x ROAS
[repeat per channel]
TOP PERFORMERS:
- [Campaign] — [metric] ([why it works])
UNDERPERFORMERS (action required):
- [Campaign] — [metric] → [recommended action]
NEXT WEEK PLAN:
- [Action 1]
- [Action 2]
```
### 7 Ad Ops Mistakes That Burn Budget
1. **Running identical audiences across channels** — Cross-platform audience collision inflates your own CPMs. Segment by funnel stage per channel.
2. **Ignoring frequency caps** — Showing the same ad 15+ times doesn't build brand, it builds resentment. Cap at 3-5/week for prospecting.
3. **Optimizing for clicks instead of pipeline** — CTR is vanity. Optimize for cost-per-qualified-lead or cost-per-opportunity.
4. **No creative testing cadence** — Launching 1 ad and "seeing how it goes" is not a strategy. Run 3-5 variants, kill losers weekly.
5. **Budget allocation by gut** — "LinkedIn feels right" isn't data. Allocate by CPA-to-deal-value ratio per channel.
6. **Ignoring attribution windows** — LinkedIn's 90-day influence window vs Google's 30-day click. Comparing raw ROAS across channels is misleading.
7. **Manual bid management at scale** — If you're managing >20 campaigns manually, you're leaving 15-30% efficiency on the table. Automate or agent-ify.
### Industry Ad Strategy Quick-Reference
| Industry | Top 2 Channels | Key Metric | Budget Sweet Spot |
|----------|---------------|------------|-------------------|
| Fintech | Google Search + LinkedIn | Cost per qualified demo | $15K-$40K/mo |
| Healthcare | Google Search + Programmatic | Cost per HCP engagement | $10K-$30K/mo |
| Legal | Google Search + YouTube | Cost per consultation | $8K-$25K/mo |
| Construction | Google Search + Meta | Cost per RFQ | $5K-$15K/mo |
| Ecommerce | Meta + Google Shopping | ROAS (target 4x+) | $10K-$50K/mo |
| SaaS | LinkedIn + Google Search | Cost per trial signup | $10K-$35K/mo |
| Real Estate | Meta + Google Display | Cost per showing/inquiry | $5K-$20K/mo |
| Recruitment | LinkedIn + Indeed/programmatic | Cost per application | $8K-$25K/mo |
| Manufacturing | Google Search + LinkedIn | Cost per RFQ | $5K-$15K/mo |
| Professional Services | LinkedIn + Google Search | Cost per consultation | $8K-$30K/mo |
---
## Get Industry-Specific Ad Strategy
These frameworks give you the structure. For deep industry context — compliance rules, audience segments, messaging angles, competitive positioning — grab the full context packs:
**[AfrexAI Context Packs](https://afrexai-cto.github.io/context-packs/)** — $47 each | Pick 3 for $97 | All 10 for $197
10 industries. Real operator knowledge, not recycled blog posts.
**Free tools:**
- [AI Revenue Leak Calculator](https://afrexai-cto.github.io/ai-revenue-calculator/) — Find where you're losing money
- [Agent Setup Wizard](https://afrexai-cto.github.io/agent-setup/) — Configure your first AI agent in 5 minutes