القائمة
Digest of the most interesting new posts on [REPLACE: TOPIC] from RSS feeds and the open web
يُحدَّد Prompt الذي يراجع المصدر أولًا بشكل افتراضي. يمكنك التبديل إلى أمر مباشر أو تنزيل نسخة محلية.
اقرأ SKILL.md وأي ملفات مرافقة يعرضها SkillsMP قبل أن تقرر التثبيت.
التثبيت باستخدام Codex أو Claude انسخ هذا Prompt والصقه في Codex أو Claude أو مساعد آخر ليراجع صفحة Skill ويثبّتها لك.
يتجاوز الأمر المباشر Prompt المخصّص للمراجعة. افحص المصدر قبل تشغيله.
npx skills add https://github.com/aaronjmars/aeon --skill replace-skill-nameيبقى الأمر في سطر واحد. مرّر أفقيًا لمراجعته كاملًا قبل النسخ.
تفضّل نسخة محلية؟ نزّل الملفات المتاحة حاليًا لدى SkillsMP.
Write a publication-ready article in one of three angles - a trending long-form piece, a watched-repo thesis, or a project-through-a-lens essay. Optional Replicate hero image with --visual.
Curated trending across GitHub repos and the Hugging Face Hub (models, datasets, spaces) - filtered, clustered, and labeled by momentum with a one-line why-notable per pick.
Crypto market scanner and single-token analyst - movers scans top winners/losers/trending or on-chain runners with pump-risk flags; single-token produces a verdict-first deep report for one token.
استنادا إلى تصنيف SOC المهني
عرض SKILL.md
| name | [REPLACE: SKILL_NAME] |
| description | Digest of the most interesting new posts on [REPLACE: TOPIC] from RSS feeds and the open web |
${var} — Optional. Pass a different topic to override the default. If empty, digests [REPLACE: TOPIC].
Today is ${today}. Build a digest of the [REPLACE: MAX_ITEMS] most interesting new posts on [REPLACE: TOPIC].
Read sources — pull the last 24h of entries from each feed:
[REPLACE: FEED_URLS]
(Comma- or newline-separated list of RSS/Atom URLs.)
Use WebFetch to retrieve each feed and parse the entries. If a feed 404s or returns malformed XML, log a single warning line and skip that feed for this run.
Augment with web search — run a WebSearch for [REPLACE: TOPIC] latest and pick up to 5 fresh links published in the last 24h that aren't already in the feed results.
Score and rank — for each candidate, score on:
Drop anything obviously off-topic (the ${var} or [REPLACE: TOPIC] keyword should appear somewhere in title or summary).
Pick the top [REPLACE: MAX_ITEMS] — write output/articles/[REPLACE: SKILL_NAME]-${today}.md with one entry each:
### [Title](url)
*[Source · published date]*
2-3 sentences distilling the takeaway. No filler.
Notify via ./notify with:
*[REPLACE: TOPIC] digest — ${today}*
[N] picks. Top item: [shortened title].
Full digest: https://github.com/${GITHUB_REPOSITORY}/blob/main/output/articles/[REPLACE: SKILL_NAME]-${today}.md
Log — append to memory/logs/${today}.md:
## [REPLACE: SKILL_NAME]
- **Sources scanned**: N feeds + 1 web search
- **Items picked**: N (of M candidates)
- **Top source**: domain
- **Status**: DIGEST_OK | DIGEST_QUIET (no items) | DIGEST_DEGRADED (some feeds failed)
WebFetch and WebSearch are built-in Claude tools. There is no network sandbox — curl works too; use WebFetch as the fallback for a flaky public GET. For this research skill the reads are unauthenticated, so WebSearch + WebFetch are the simplest path.
memory/topics/[REPLACE: SKILL_NAME]-seen.txt (append-only). Skip anything that's already in there.[REPLACE: MAX_ITEMS] items meet the bar, send fewer items — never pad with low-signal content.