kevinbadi/hyperedit/analytics

Claude Code and agent skill by kevinbadi/hyperedit

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Checking that the SKILL.md file is still in the repository.

Pull post performance and follower growth across all connected accounts — analytics:posts, analytics:daily, analytics:best-time, accounts:follower-stats — and turn the raw numbers into a readable report with trends and a recommendation. Use when asked how posts performed, how followers are growing, when to post, or "how are my socials doing?"

Install

npx vskill@latest install kevinbadi/hyperedit/analytics

SKILL.md

Analytics (Posts + Followers)

When to use

  • "How did that post do?" / "What's working?" → post analytics.
  • "Am I growing?" / "How many followers did I gain this week?" → follower analytics.
  • "When should I post?" → best posting times.
  • A scheduled weekly performance report.

Prerequisites

  • creatoros auth:check exits 0.
  • creatoros accounts:list --pretty for account _ids and platforms (needed to interpret and filter results).

Steps

  1. Establish the window. Default to the last 7 days unless the human named one; always compare against the previous equal-length window so numbers have context.
  1. Post analytics — what performed:

``sh creatoros analytics:posts --from <ISO> --to <ISO> --sortBy engagement --limit 20 --pretty ` Narrow with --platform <name> or --postId <id> for a single post. Then daily totals for trend shape: `sh creatoros analytics:daily --from <ISO> --to <ISO> --pretty ``

  1. Follower analytics — who's arriving:

``sh creatoros accounts:follower-stats --fromDate <ISO> --toDate <ISO> --granularity day --pretty ` Use --granularity week or month for longer windows, --accountIds <id1,id2>` to narrow.

  1. Best posting times (when relevant to the ask):

``sh creatoros analytics:best-time --pretty ``

  1. Write the report — numbers into meaning:
  • Headline: the single most important movement (up or down) this window.
  • Per platform: followers now, net change vs. previous window, top 2–3 posts with their engagement.
  • One honest observation (what the data actually shows) and one concrete suggestion (what to do next), each tied to a specific number.

Judgment rules

  • Never invent causality. "The Tuesday reel got 3× median engagement" is a fact; "reels work better on Tuesdays" needs more than one data point — say which it is.
  • Absolute + relative, always. "+400 followers" means nothing without "on 12k, vs +150 last week."
  • Flag anomalies instead of averaging over them. One viral post distorts a weekly mean; report the median and call the outlier out separately.
  • Zero or missing data is a finding, not an error. A platform returning nothing usually means no posts in the window or an account health issue — check creatoros accounts:health --pretty before blaming the numbers.
  • Don't dump JSON at the human. The deliverable is the readable report; raw output only on request.

Verification

  • Every number in the report traces to a command you actually ran this session — no memory, no extrapolation.
  • Date windows in the commands match the window the report claims to cover.
  • If any command failed, the report says so for that section instead of silently omitting it.

Security

  • Security scanPassed, 90 of 100Pattern checks on the skill's files.
  • Model reviewPassed

Quality evaluation

  • Task evaluationNot runNo evaluation yet. Run one in Skill Studio.

Source

Popularity

Repository stars
148
Repository forks
113
7-day trend score
25

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