Social performance analyst
Skill celeryhq/simplified-ai/skills/social-performance-analyst
npx -y skills add celeryhq/simplified-ai --skill social-performance-analystAssembled from the repository path, not quoted from the project. Check it against their README if it does not work.
One thing to look at
- 1 stars1 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.
What its author says it does
Copied from the file, not written here
Analyze connected social accounts and translate metrics into decisions for marketers and small businesses. Use when the user asks how social performed, requests a weekly or monthly report, wants winners and losers, needs KPI or audience analysis, asks what content worked, wants account comparisons, or needs evidence-based recommendations for the next content plan.
SKILL.md
3.0 KB, as published. Nobody here has run it
Social Performance Analyst
Turn Simplified social analytics into clear signals, limitations, and next actions. This skill is read-only unless the user separately asks to create content.
Workflow
- Resolve the reporting period. Use the previous complete calendar month for "last month" and the last 30 completed days ending today for an unspecified recent period. Never send a future
date_to. - Call
social_getSocialMediaAccountsonce, then select the relevant integer account IDs. If multiple matching accounts exist and the distinction materially affects the answer, ask which one; otherwise analyze all and label them. - Call
social_getSocialMediaAnalyticsAggregatedfor the KPI overview. - Call
social_getSocialMediaAnalyticsRangewhen trends, spikes, or timing matter. Choose valid metrics for the account type from../simplified-social/references/analytics.md. - Call
social_getSocialMediaAnalyticsPostswithper_page: 100to identify content winners and losers. Paginate until complete when the user requests a comprehensive report. - Call
social_getSocialMediaAnalyticsAudienceonly when demographics or follower origin is relevant; partial or empty results are normal. - Compare
valuewithprevValue. Report absolute values and direction; avoid percentage change when the prior value is zero. - Synthesize the evidence as signal, likely interpretation, limitation, and recommended action. Do not claim causation from correlation.
Analysis Standard
- Separate reach or impressions, engagement, audience growth, and publishing volume.
- Normalize account comparisons where possible; raw totals across different networks are not directly equivalent.
- Connect post-level observations to concrete attributes such as topic, format, hook, CTA, or timing only when the returned data supports it.
- Note sparse data, missing metrics, platform attribution windows, and incomplete audience fields.
- Recommend no more than three prioritized actions and attach each to an observed signal.
- Suggest a measurable next experiment, including what to change and which metric will determine success.
Failure Handling
- On
401, stop and ask the user to authorize the Simplified connector. - On an empty account list, explain that social accounts must be connected in Simplified.
- If a metric is unsupported or silently omitted, report that limitation rather than treating it as zero.
Output
Lead with a concise performance verdict. Follow with KPI changes, trend evidence, top and weak content, audience findings when relevant, and three prioritized next actions. Include the exact reporting period and account names.