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Social performance analyst

Skill celeryhq/simplified-ai/skills/social-performance-analyst

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.From its SKILL.md

Install
npx -y skills add celeryhq/simplified-ai --skill social-performance-analyst

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SKILL.md

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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

  1. 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.
  2. Call social_getSocialMediaAccounts once, 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.
  3. Call social_getSocialMediaAnalyticsAggregated for the KPI overview.
  4. Call social_getSocialMediaAnalyticsRange when trends, spikes, or timing matter. Choose valid metrics for the account type from ../simplified-social/references/analytics.md.
  5. Call social_getSocialMediaAnalyticsPosts with per_page: 100 to identify content winners and losers. Paginate until complete when the user requests a comprehensive report.
  6. Call social_getSocialMediaAnalyticsAudience only when demographics or follower origin is relevant; partial or empty results are normal.
  7. Compare value with prevValue. Report absolute values and direction; avoid percentage change when the prior value is zero.
  8. 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.

What ships with it: 3 files

15.2 KB alongside SKILL.md

agents/

assets/

Gives 0 of the 12 instructions most research analysis skills give in 521 tokens

Counted across 1,213 of the 2,113 authors here whose files we hold, read 2026-09-06

  • Cite sources for every important claimin 47 of 1213, across 38 files
  • Separate facts from inferences and recommendationsin 21 of 1213, across 12 files
  • Write findings to a markdown filein 19 of 1213
  • Label every insight with a confidence levelin 18 of 1213, across 8 files
  • Read product marketing context before asking questionsin 18 of 1213, across 8 files
  • Rank themes by frequency and intensityin 16 of 1213, across 6 files
  • Establish research mode before proceedingin 16 of 1213, across 6 files
  • Segment survey responses by customer tier or tenurein 16 of 1213, across 6 files
  • Categorize support tickets before analyzingin 16 of 1213, across 6 files
  • Weight research sources from the last twelve monthsin 16 of 1213, across 6 files
  • Use at least five data points per segmentin 15 of 1213, across 5 files
  • Extract verbatim quotes for all research findingsin 15 of 1213, across 5 files

Said here and by no other author read

  • Resolve the reporting period before analysis
  • Call social_getSocialMediaAccounts to select account IDs
  • Call social_getSocialMediaAnalyticsAggregated for KPI overview
  • Call social_getSocialMediaAnalyticsRange for trends and spikes
  • Call social_getSocialMediaAnalyticsPosts to identify content winners
  • Synthesize evidence into signals and recommended actions

Grouped from the skills themselves: near-identical wordings counted once, and counted by distinct author, so one author publishing three of these counts once. Length counted with cl100k_base; the agent that loads this file may tokenize it differently.

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