SkillHub Developer Data Dashboard
Paste the following prompt into your AI chat to install this skill:
Please follow https://skillhub.cn/install/skillhub.md and install @user_663a53c6/skills-data-hub.
About this skill
Problem
Developers who have published skills on SkillHub often need to watch several signals at once: their own download, favorite, rating, and ranking trends, competitor releases, and category heat. Checking APIs or switching pages makes it hard to keep a continuous view. This skill provides a local web dashboard that aggregates data from your own SkillHub account, keyword-based competitor searches, and category heat into one view that refreshes about every 50 seconds, turning raw numbers into trend and iteration decisions.
How It Works
- Set
user_idinconfig.json, runserver.py, and openhttp://localhost:8866. - The top overview shows platform skill count, total daily downloads, day-over-day growth, favorites, comments, and followers.
- Each skill card displays downloads, favorites, rating, version time, and an iteration note such as “review score appeared N days after vX.”
- The competitor section provides two boards: top 10 downloads and top 10 latest uploads, constrained by
keyword_map,name_filter,desc_filter, andexcludewhen configured. - The category heat ranking sorts categories by average downloads and includes blue-ocean or red-ocean strategy hints.
- API endpoints such as
GET /api/current,GET /api/history, andGET /api/exportsupport checking current state, recent time series, and CSV export for long-term trend analysis. - Built-in retry, backoff, watchdog, and last-good-data preservation reduce data gaps caused by network jitter or rate limits.
Limits And Notes
It only monitors data from SkillHub and only for skills published under your account. It does not generate or rewrite skill content, nor does it perform operations automatically. It requires access to api.skillhub.cn; when offline, refreshing stops but already loaded data remains. The update interval is about 50 seconds, not millisecond-level real time. Competitor matching depends on keyword and name/description filters, so missing or noisy results usually mean the filters need adjustment. Run one server.py instance per account to avoid multiple pollers triggering 429s.
Use Cases
- After releasing a skill version, compare download and favorite trends before and after the update for a weekly report.
- When managing several skills in the same niche, track competitor top-download rankings and new-release pace.
- When choosing the next skill direction, use category heat rankings and blue-ocean suggestions to decide.
- When ratings drop or downloads look abnormal, review historical data to identify the cause of the change.
Best For
- Independent developers who have published SkillHub skills and need to track downloads, favorites, and rating trends.
- Operations owners managing a skill portfolio who need to judge competitors' release pace from rankings.
- Skill authors choosing a technical direction who need category heat and average downloads to find blue-ocean areas.
- Developers preparing weekly reports who need CSV export and trend analysis in Excel.
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