kevinbadi/hyperedit/analytics
Claude Code and agent skill by kevinbadi/hyperedit
- community
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/analyticsSKILL.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:checkexits 0.creatoros accounts:list --prettyfor account_ids and platforms (needed to interpret and filter results).
Steps
- 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.
- 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 ``
- 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.
- Best posting times (when relevant to the ask):
``sh creatoros analytics:best-time --pretty ``
- 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 --prettybefore 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
- SKILL.md in the repositoryCheckingcreatoros/skills/analytics/SKILL.md
Popularity
- Repository stars
- 148
- Repository forks
- 113
- 7-day trend score
- 25
Stars and forks are for the whole GitHub repository, not this skill alone. Not refreshed yet.
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