According to AlphaMoat, as of 2026-09, Topic to Article Kit has 3,225 downloads and 1 stars — ranked #3,528 of 5,078 AI skills overall, and #240 of 362 in Content.
| Platform | Installs | Downloads | Stars | Comments |
|---|---|---|---|---|
| ClawHub ↗ | 96 | 3.0K | 1 | - |
| SkillHub ↗ | 228 | 3.2K | 1 | — |
Platforms count differently and update at different times.
Collect evidence and useful comments from public sources such as X/Twitter for a chosen AI topic, then prepare title options, an outline, and an Obsidian-ready research packet. The workflow creates folders and Markdown files in the user’s Obsidian vault; verify the target vault and output location before writing to avoid unapproved changes to existing notes.
Profile published 2026-10-27
Generated from the skill’s documentation as examples; not results of actual runs.
The counting method changed in 2026-09: skills with the same name are now counted separately by author, and the full catalog is covered. Dashed lines show months before the change; they are not compared with later months, and no growth is computed across the change.
| Month | Downloads | MoM | Stars |
|---|---|---|---|
| 2026-09 | 3.2K | — | 1 |
| 2026-08 | 2.9K | +5.2% | 1 |
| 2026-07 | 2.8K | +11.4% | 1 |
| 2026-06 | 2.5K | +7.5% | 1 |
| 2026-05 | 2.3K | — | 1 |
| 2026-03 | 1.6K | — | 1 |
The author’s original file, shown as plain text without edits or review by AlphaMoat. Links are not clickable; check commands before running them. Fetched 2026-10-23.
--- name: topic-to-article-kit description: "Turn a chosen AI topic into a public-account writing package: collect evidence from X/Twitter and other sources, extract high-value comments, and produce title options + structured outline written into Obsidian. Use when user asks for topic-based research and article prep." --- # Topic to Article Kit 1. Input: user-selected topic (or propose topic candidates). 2. Collect evidence from: - X/Twitter official pages first (`x.com` profile/search/status), then other public sources as supplement
- HN / TechCrunch / GitHub / other public sources 3. Collect X high-value comments (facts, counterpoints, implementation details). 4. Build deliverables in Obsidian (minimal structure): - one folder per article: `OpenClaw/项目/公众号写作/<日期_标题>/` - `资料包.md`(facts, data, links, comment excerpts) - `大纲.md`(with inline citation markers to 资料包) 5. Always write to the real Obsidian Vault visible directory first (absolute path under user's real vault), never workspace mirror paths. 6. Before finishing, verify files exist in the real Obsidian visible directory and report that relative path to user. 7. Keep output minimal and readable (no extra draft/final folders unless user asks). 8. Control browser tabs like production workflow: - max 7 tabs at once - close finished tabs before opening new ones - close all temporary tabs at end (target 0) ## Required output - 文章目录(按“日期_标题”命名) - `资料包.md`(含来源链接和评论摘录) - `大纲.md`(含可引用资料标注) - 5-10标题候选(写在大纲顶部) - X/Twitter 证据优先来自 `x.com` 官方页面(并在资料包注明链接)
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Data month: 2026-09 · Downloads, stars and installs are aggregated monthly from public skill registries (ClawHub, SkillHub). See methodology.