Meta Ads Analysis
[Didoo AI] Analyzes Meta Ads campaign performance in depth — metrics, funnel, trends, and anomalies. Use when user wants to understand how a campaign is perf... Skill: Meta Ads Analysis Owner: elias-didoo Summary: [Didoo AI] Analyzes Meta Ads campaign performance in depth — metrics, funnel, trends, and anomalies. Use when user wants to understand how a campaign is perf... Tags: latest:1.2.0 Version history: v1.2.0 | 2026-04-16T03:00:15.061Z | user Correct slug, removed didooai- prefix v1.1.1 | 2026-04-16T02:44:01.855Z | user Fix YAML: escape quotes in description v1.1.0 | 20
Rank
62
Safety
84
Downloads
1.1k
Updated
Oct 11, 2026
Version
1.2.0
Source
CLAWHUB
About
What it does, and when to use it.
Capability contract not published. No trust telemetry is available yet. 1.1K downloads reported by the source. Last updated 10/11/2026.
Avoid when
- Contract metadata is missing or unavailable for deterministic execution.
Risk flags: missing_or_unavailable_contract, trust_data_unavailable, schema_references_missing
Public facts
Every fact links back to the source it came from.
- Vendor
- Clawhubvendor · observed Oct 11, 2026
- Protocol compatibility
- OpenClawcompatibility · observed Oct 11, 2026
- Adoption signal
- 1.1K downloadsadoption · observed Oct 11, 2026
- Latest release
- 1.2.0release · observed Apr 16, 2026
- Handshake status
- UNKNOWNsecurity
Install and run
Setup complexity: low.
clawhub skill install s170zy2wssmkqheacrkh2syyv183vgqw:meta-ads-analysis- Setup complexity is classified as HIGH. You must provision dedicated cloud infrastructure or an isolated VM. Do not run this directly on your local workstation.
- Final validation: Expose the agent to a mock request payload inside a sandbox and trace the network egress before allowing access to real customer data.
Contract: missing
curl -s "https://www.xpersona.co/api/v1/agents/clawhub-elias-didoo-meta-ads-analysis/snapshot"
Documentation
CLAWHUB
89,254 characters of source documentation, loaded on request.
Extracted files
3 files captured from the source.
SKILL.md
---
name: meta-ads-analysis
description: "[Didoo AI] Analyzes Meta Ads campaign performance in depth — metrics, funnel, trends, and anomalies. Use when user wants to understand how a campaign is performing, identify weak points, or get data before receiving recommendations. Outputs structured analysis only; never provides recommendations. Triggers on: \"analyze\", \"deep dive\", \"why is performance\", \"diagnose\", \"full audit\"."
homepage: https://didoo.ai/blog
metadata:
{
"openclaw":
{
"requires": { "env": ["META_ACCESS_TOKEN", "META_AD_ACCOUNT_ID"] },
},
}
---
## Required Credentials
| Credential | Where to Get | Used For | OAuth Scope |
|-----------|-------------|---------|-------------|
| META_ACCESS_TOKEN | Meta Developer Console → Graph API Explorer → Generate Token | All Meta Marketing API calls | `ads_read` (read-only, least-privilege) |
| META_AD_ACCOUNT_ID | Ads Manager URL: `adsmanager.facebook.com/act_XXXXXXXXX` | Identifying which account to query | — |
## When to Use
Loaded when user wants to understand how their Meta Ads campaign is performing — either a specific aspect (audience, creative, overall) or a full diagnostic. Can run standalone or as prerequisite for meta-ads-recommendation.
---
## Step 0: Understand the Campaign
Before pulling any data, get context on what this campaign is trying to do.
Ask 1–2 quick questions if not already clear from conversation:
- "Is this an always-on campaign, or tied to a specific promotion?"
- "Are you testing new things, or trying to scale what's already working?"
Keep it conversational. If META_ACCESS_TOKEN or META_AD_ACCOUNT_ID is not available, tell the user exactly what is needed and do not proceed with API calls.
---
## Step 1: Gather Campaign Structure
Ask the user for their Meta Ads account access. Use the Meta Marketing API to fetch:
### Campaign level
- Campaign name, ID, status (is it ACTIVE?)
- Objective (what counts as a "result" — leads, purchases, clicks?)
- Budget type (CBO = campaign-level budget optimization, or ABO = adset-level)
- Bid strategy, daily budget, start date
### Adset level
- Adset name, ID, status
- Optimization goal (this determines what "results" means for this adset)
- Targeting countries, budget, bid amount
### Ad level
- Ad name, ID, status
- Which adset it belongs to
Store this as `campaign_context`. Reuse across the session — don't re-fetch.
---
## Step 2: Confirm Time Range and Attribution Window
Always confirm the time period and attribution window before pulling performance data:
1. Time range: "What time period would you like to analyze? (e.g., last 7 days, last 30 days, or a specific date range)"
2. Attribution window: "What attribution window are you using? Default in Meta is 7-day click. For e-commerce, 1-day click often gives a clearer signal. For lead gen, 7-day click is usually better."
| Campaign type | Recommended attribution window |
|--------------|--------------------------------|
| E-commerce / _meta.json
{
"ownerId": "kn72xgwz1h6j5cfwscvt1wm10d83tj78",
"slug": "meta-ads-analysis",
"version": "1.2.0",
"publishedAt": 1776308415061
}skill-card.md
## Description: [Didoo AI] Analyzes Meta Ads campaign performance in depth: metrics, funnel, trends, and anomalies, producing structured analysis without recommendations. This skill is ready for commercial/non-commercial use. ## Publisher: [elias-didoo](https://clawhub.ai/user/elias-didoo) ### License/Terms of Use: MIT-0 ## Use Case: External marketers, growth operators, and agents use this skill to diagnose Meta Ads campaign performance, identify weak funnel points, trends, anomalies, and data caveats, and prepare structured analysis before any recommendation workflow. ### Deployment Geography for Use: Global ## Known Risks and Mitigations: Risk: The skill requires a Meta Marketing API access token and ad account ID to analyze account performance. Mitigation: Use a read-only token limited to the ads_read scope and provide credentials only when Meta Ads analysis is intended. Risk: Generic trigger words such as analyze or diagnose may activate the skill when a Meta Ads workflow was not intended. Mitigation: Confirm the user wants Meta Ads campaign analysis before requesting credentials or making API calls. ## Reference(s): - [Didoo AI Blog](https://didoo.ai/blog) - [ClawHub Skill Page](https://clawhub.ai/elias-didoo/skills/meta-ads-analysis) ## Skill Output: **Output Type(s):** [text, markdown, guidance] **Output Format:** [Markdown structured analysis] **Output Parameters:** [1D] **Other Properties Related to Output:** [Analysis only; stores campaign context, funnel weak points, trend signals, anomalies, data quality notes, and general landing-page diagnosis in session context.] ## Skill Version(s): 1.2.0 (source: server release metadata) ## Ethical Considerations: Users should evaluate whether this skill is appropriate for their environment, review any generated or modified files before relying on them, and apply their organization's safety, security, and compliance requirements before deployment.
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Machine-readable data
The same record, as JSON, for agents and crawlers.
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}Record generated Oct 11, 2026.
