lanbow-claw-skill

End-to-end Meta (Facebook/Instagram) advertising system orchestrator covering the full ad lifecycle: strategy research, creative generation, campaign delivery, and post-campaign optimization. Use when: (1) Planning and executing a complete Meta Ads campaign from scratch (2) Running the full ads lifecycle: research → create → launch → review → optimize (3) User says "run ads", "launch campaign", "full ads system", "ads pipeline", "广告投放全流程" (4) User needs guidance on which ads skill to use for their current task (5) Coordinating between strategy, creative, delivery, and review phases This skill orchestrates 4 sub-skills: ads-strategy-researcher (insights), creative_gen (creatives), lanbow-ads (delivery), and post-campaign-review (optimization). Each can also be used independently.

Lanbow Ads Skills

End-to-end Meta Ads lifecycle management across 4 features: Strategy → Creative → Delivery → Review, forming a continuous optimization loop. Built by Lanbow — see the detailed guide for more information.

Feature Map

#	Feature	Skill	What It Does	Key Dependency
1	Strategy Research	ads-strategy-researcher	Market analysis, competitive intelligence, messaging strategy	WebSearch / WebFetch
2	Creative Generation	creative_gen	AI-generated ad images from strategy inputs	User's Gemini API Key
3	Ad Delivery	lanbow-ads	Campaign creation and management via Meta Ads CLI	User's Meta Access Token
4	Post-Campaign Review	post-campaign-review	Performance diagnosis and optimization plan	Campaign delivery data

System Decision Tree

Starting a new campaign from scratch? → Start at Feature 1 (Strategy) → Feature 2 (Creative) → Feature 3 (Delivery)

Have strategy, need creatives? → Start at Feature 2 (Creative) → Feature 3 (Delivery)

Have creatives, need to launch? → Start at Feature 3 (Delivery)

Campaign already running, need to optimize? → Start at Feature 4 (Review) → loop back to Features 1-3 as needed

Quick ad hoc task? (list campaigns, check performance, upload image, etc.) → Use Feature 3 (Delivery / lanbow-ads CLI) directly

Full Lifecycle Loop

text

┌─────────────────────────────────────────────────────────┐
│                                                         │
│  Feature 1: Strategy Research                           │
│  ┌──────────────────────────────────┐                   │
│  │ Input: URL, objectives, audience │                   │
│  │ Output: insights report          │                   │
│  │   • key message                  │                   │
│  │   • key look                     │                   │
│  │   • ad angles + CTAs             │                   │
│  │   • audience segments            │                   │
│  └──────────┬───────────────────────┘                   │
│             │                                           │
│             ▼                                           │
│  Feature 2: Creative Generation                         │
│  ┌──────────────────────────────────┐                   │
│  │ Input: key message, key look,    │                   │
│  │        product info, audiences   │                   │
│  │ Output: ad images + prompts      │                   │
│  └──────────┬───────────────────────┘                   │
│             │                                           │
│             ▼                                           │
│  Feature 3: Ad Delivery                                 │
│  ┌──────────────────────────────────┐                   │
│  │ Input: creatives, targeting,     │                   │
│  │        budget, account           │                   │
│  │ Output: live campaign            │                   │
│  └──────────┬───────────────────────┘                   │
│             │                                           │
│             ▼                                           │
│  Feature 4: Post-Campaign Review                        │
│  ┌──────────────────────────────────┐                   │
│  │ Input: performance data          │                   │
│  │ Output: diagnosis + next actions │──── loop back ────┘
│  └──────────────────────────────────┘

Feature 1: Strategy Research

Skill: ads-strategy-researcher | Details: strategy-research.md

Perform pre-campaign market analysis using WebSearch + WebFetch. Produces a structured strategy report.

Trigger phrases: "ads strategy", "marketing plan", "competitor research", "market research"

Inputs: product URL, business objectives, campaign context, audience info, competitors

Key outputs that feed Feature 2:

Output	Used By
Key Message (primary promise + reasons)	product_info / requirements in creative gen
Key Look (visual cues, composition)	requirements in creative gen
Ad Angles (hooks, CTAs)	input_cta in creative gen
Audience Segments	audience_descriptions in creative gen

Strategy types: Omni-Channel (Amazon + TikTok + Meta) or Meta-Only

Feature 2: Creative Generation

Skill: creative_gen | Details: creative-generation.md

Generate ad creative images via 2-step Gemini pipeline: proposals (gemini-2.5-flash) → images (gemini-3.1-flash-image-preview).

Trigger phrases: "generate ad", "create ad image", "ad creative", "generate creatives"

Requires: GEMINI_API_KEY (optional env var — only needed when using this feature; not required for Features 1, 3, or 4)

Inputs: product info, audience descriptions, requirements, CTA, aspect ratio, optional product image

Outputs: creative-proposals.json + ad-*.png images + reusable prompt templates

Connection to Feature 3: Upload generated images via lanbow-ads images upload, then reference image_hash in lanbow-ads creatives create.

Feature 3: Ad Delivery

Skill: lanbow-ads | Details: ad-delivery.md

Execute campaign setup and management via the lanbow-ads CLI.

Trigger phrases: "create campaign", "launch ads", "upload image", "show campaigns", "投放广告"

Requires: Meta Access Token, App ID, Ad Account ID (declared in requires.env). App Secret is optional — only needed for exchanging short-lived tokens to long-lived tokens via lanbow-ads auth exchange.

Credential setup (try in order):

1. Environment variables or platform secret fields (best): If META_ACCESS_TOKEN, META_APP_ID, and META_AD_ACCOUNT_ID are already set as environment variables (or via your platform's secret/credential fields), configure the CLI automatically:

   bash

   lanbow-ads config set --app-id "$META_APP_ID"
   lanbow-ads auth set-token "$META_ACCESS_TOKEN"
   lanbow-ads config set --account "$META_AD_ACCOUNT_ID"
   # Only if META_APP_SECRET is set (optional — needed only for token exchange):
   [ -n "$META_APP_SECRET" ] && lanbow-ads config set --app-secret "$META_APP_SECRET"
   

2. Ask the user to provide credentials directly (most common): If env vars are not set, tell the user exactly how to get each credential from Meta's web interface. Recommend the user use their platform's secret fields or environment variables rather than pasting credentials directly into chat. If direct input is the only option, only request the minimum credentials needed for the current task:

   • Access Token: Open https://developers.facebook.com/tools/explorer/ → select your App → click "Generate Access Token" → select permissions ads_management, ads_read, business_management → click "Submit" → copy the token
   • App ID: Go to https://developers.facebook.com/apps/ → select your App → App Settings → Basic
   • Ad Account ID: Go to https://adsmanager.facebook.com/ → find act_XXXXXXXXX in the URL or account dropdown
   • App Secret (only if needed for token exchange): App Settings → Basic → click "Show" next to App Secret

   Then run the CLI commands on their behalf. For a full walkthrough, see meta-account-setup.md.

3. lanbow-ads auth login (last resort): This opens a browser on the agent's machine for OAuth. It only works when you and the user are on the same machine. Do NOT attempt this by default. If the user can't open the auth URL or auth login fails, fall back to method 2 immediately — ask for credentials directly. Do NOT retry or keep sending OAuth URLs.

Credential scope limits: The agent must ONLY use provided credentials for lanbow-ads CLI commands. The agent must NOT log, echo, or store credentials in any file other than via the lanbow-ads config set and lanbow-ads auth set-token commands. The agent must NOT transmit credentials to any endpoint other than the Meta Marketing API (via the CLI).

Campaign creation sequence:

1. lanbow-ads campaigns create — create campaign (PAUSED)
2. lanbow-ads images upload / lanbow-ads videos upload — upload media
3. lanbow-ads creatives create — create creative with media
4. lanbow-ads adsets create — create ad set with targeting + budget
5. lanbow-ads ads create — create ad linking ad set + creative
6. Verify with lanbow-ads campaigns get / lanbow-ads ads get

Key rules:

• Budgets in cents (5000 = $50.00)
• Always create in PAUSED status, activate after review
• Use --json flag when output feeds into another step
• For OUTCOME_SALES: must include --promoted-object with pixel_id

Feature 4: Post-Campaign Review

Skill: post-campaign-review | Details: post-campaign-review.md

Analyze delivery data, diagnose performance issues, generate optimization recommendations.

Trigger phrases: "review campaign", "campaign diagnosis", "optimize ads", "复盘", "投后分析"

Data collection: Fetch via lanbow-ads insights get --json at multiple dimensions (campaign, ad set, ad, audience breakdowns, daily trends).

Diagnostic framework:

• Metric health check against benchmarks (CTR, CPC, CPM, frequency, ROAS)
• Root cause patterns: creative fatigue, audience saturation, targeting mismatch, budget issues, landing page problems

Output: Prioritized optimization plan (P0 immediate → P1 creative → P2 targeting → P3 strategic)

Feedback loop: Review findings feed back into:

• Feature 1 (new strategy if targeting mismatch or new opportunity found)
• Feature 2 (creative refresh if fatigue diagnosed)
• Feature 3 (budget/targeting adjustments, pause/activate ads)

Cross-Feature Data Flow

text

Strategy Report ──→ key message, key look, audiences ──→ Creative Gen
Creative Gen   ──→ ad images, proposals             ──→ Ad Delivery (upload + create)
Ad Delivery    ──→ live campaign + performance data  ──→ Post-Campaign Review
Review         ──→ optimization actions              ──→ Ad Delivery (adjust)
Review         ──→ creative refresh needs            ──→ Creative Gen (new round)
Review         ──→ strategy refinement needs         ──→ Strategy Research (re-analyze)

Security & Privacy

Credentials

Required (declared in metadata.openclaw.requires.env — needed for ad delivery):

Env Var	Sensitivity	Used By	Storage Location
META_ACCESS_TOKEN	High — grants ad account access	Feature 3 (Ad Delivery)	lanbow-ads CLI config dir (~/.config/lanbow-ads/)
META_APP_ID	Medium — app identifier	Feature 3 (Ad Delivery)	lanbow-ads CLI config dir
META_AD_ACCOUNT_ID	Low — account identifier	Feature 3 (Ad Delivery)	lanbow-ads CLI config dir

Optional (only request when the specific feature is needed):

Env Var	Sensitivity	When Needed	Storage Location
META_APP_SECRET	High — can generate long-lived tokens	Only for lanbow-ads auth exchange (short→long-lived token swap)	lanbow-ads CLI config dir
GEMINI_API_KEY	High — API access	Only for Feature 2 (Creative Generation via Gemini)	User's environment only; never persisted by this skill

Do NOT request optional credentials unless the user's task specifically requires them. For example, listing campaigns or checking insights needs only META_ACCESS_TOKEN, META_APP_ID, and META_AD_ACCOUNT_ID.

Secure Credential Delivery

Prefer environment variables or your platform's secret/credential fields over pasting credentials into chat. If the user must provide credentials in conversation, only request the minimum set needed for the current task. Never ask for META_APP_SECRET or GEMINI_API_KEY unless the user explicitly needs token exchange or creative generation.

Required Runtime Dependencies

Dependency	Source	Purpose
lanbow-ads CLI	Install via npm i -g lanbow-ads (npm registry)	Campaign management and performance data retrieval via Meta Marketing API
WebSearch / WebFetch	Built-in agent tools	Market research and competitive intelligence gathering

Credential Scope Restrictions

The agent is restricted to the following credential operations only:

• lanbow-ads config set --app-id / --app-secret / --account — configure CLI
• lanbow-ads auth set-token — set access token
• lanbow-ads auth exchange — exchange short-lived token for long-lived token
• lanbow-ads auth status — verify token validity

The agent must NOT:

• Log, echo, or print credentials in plain text
• Store credentials in any file other than via lanbow-ads CLI commands
• Transmit credentials to any endpoint other than the Meta Marketing API (via CLI)
• Use credentials for purposes outside ad campaign management

Data Flow & Privacy

• What leaves the machine: API calls to Meta Marketing API (via lanbow-ads CLI), API calls to Google Gemini (for image generation), web searches (for strategy research)
• What stays local: Strategy reports, generated creative images, campaign review documents, CLI configuration files
• Credential handling: Credentials are configured via the lanbow-ads CLI and stored in its config directory (~/.config/lanbow-ads/). This skill itself does not persist or transmit credentials beyond passing them to the CLI.

Token Lifetime & Cleanup

Token Type	Lifetime	When to Use
User Access Token (Graph API Explorer)	~1-2 hours	Quick tests, one-off campaigns
Long-lived User Token (via auth exchange)	~60 days	Short-term automation
System User Token	Never expires	Production/agency use only

After use, always clean up stored credentials:

bash

lanbow-ads auth logout          # Remove stored access token
lanbow-ads config unset --app-secret  # Remove stored app secret
lanbow-ads config list          # Verify no secrets remain

Security Recommendations

1. Use env vars or secret fields, not chat — provide credentials via environment variables or your platform's secret/credential input fields. Avoid pasting App Secret or long-lived tokens directly into an open conversation
2. Only supply what's needed — GEMINI_API_KEY is only needed for creative generation, META_APP_SECRET is only needed for token exchange. Do not provide them if your task doesn't require those features
3. Prefer short-lived tokens — start with a User Access Token from Graph API Explorer (~1-2 hours). Only use System User Tokens for production automation where you control the runtime
4. Verify your runtime environment — only provide credentials if the agent runs on a machine you trust. Do NOT paste secrets into hosted/shared agent environments
5. Use a dedicated test Ad Account — create a separate Ad Account with minimal budget for agent-managed campaigns; do not use your primary production account
6. Least privilege scopes — when generating tokens, grant only ads_management and ads_read unless additional permissions are explicitly needed
7. Rotate after use — revoke tokens in Meta Business Settings after your session ends, especially if you used long-lived tokens or App Secret
8. Verify lanbow-ads provenance — install from the official npm registry and verify the package before use

Resources

All sub-skill instructions and reference materials are self-contained in references/.

Feature 1: Strategy Research

• strategy-research.md — Full strategy research system, research protocol, chapter-based output rules
• strategy-template.md — Report section structure (Executive Summary → Controls)
• strategy-meta-only-template.md — Meta-only campaign strategy template
• strategy-document-standards.md — Report formatting standards, table numbering, data source annotations

Feature 2: Creative Generation

• creative-generation.md — Full Gemini 2-step pipeline: proposals → image generation, API calls, prompt templates

Feature 3: Ad Delivery

• ad-delivery.md — Full lanbow-ads CLI guide: campaign creation, targeting, insights, configuration
• ad-delivery-commands.md — Complete command reference with all flags, types, and descriptions
• meta-account-setup.md — Step-by-step Meta developer registration, app creation, OAuth setup, and ad account configuration

Feature 4: Post-Campaign Review

• post-campaign-review.md — Full diagnostic framework, metric benchmarks, optimization plan template, feedback loop