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Fetch and analyze GitHub trending repositories (daily/weekly) to surface high-signal development trends.
Codex 또는 Claude로 설치 이 Prompt를 복사해 Codex, Claude 또는 다른 어시스턴트에 붙여 넣으면 Skill 페이지를 검토하고 설치를 진행할 수 있습니다.
SOC 직업 분류 기준
Select, score, and source-remap standalone vertical short-form clips from a finished long-form video, creator-edited timeline, transcript, and original camera/audio/screen-recording sources. Use when repurposing a course, podcast, interview, tutorial, livestream, or horizontal A-roll edit into Instagram Reels, TikTok videos, or YouTube Shorts; when the user wants a ranked candidate list before editing; or when an approved long-form cut must be traced back to higher-quality untouched media for vertical reframing.
Direct and execute the visual pass after a short- or long-form talking-head video's A-roll and spoken story are locked. Use when a creator has a versioned A-cut export and wants Codex to apply a creator visual-style profile and produce A-roll punch-ins or reframes, proof assets, B-roll, captions, sound effects, transitions, transcript-anchored full-screen takeovers, diagrams, and Remotion or Manim animation while preserving the locked story. Supports long-form course openings, live Remotion Studio review, full-composite renders, transparent overlay tracks, individual editor assets, and native editor integration.
Umbrella skill for private export and import pipelines. Use this when the task spans multiple data sources or when no more specific export skill applies.
Modular tooling for journal ingestion, prep, and derived-context generation. Use when work involves reusable journal processing logic.
Run IgnitionBot trend sweeps and return scored briefs across configured sources.
Measure the current virality, velocity, and editorial usefulness of a news story, product launch, model release, funding event, or trend. Use when the user asks for a heat score, asks how hot/viral/trending something is, wants to compare competing news waves, decide whether a topic is worth covering now, distinguish mass attention from niche audience fit, or audit why a radar missed a high-signal canonical announcement.
| name | github-trends-ops |
| description | Fetch and analyze GitHub trending repositories (daily/weekly) to surface high-signal development trends. |
| memory_tags | ["domain:development","workflow:trend-analysis","skill_role:researcher","repo_boundary:tools","source:github-trending","risk:low"] |
Use this skill to monitor what the open-source community is building in real-time.
Use when:
daily or weekly), language filter, fetch time, and GitHub surfaces included.python3 georgeskills/skills/github-trends-ops/scripts/fetch_github_trends.py --since dailypython3 georgeskills/skills/github-trends-ops/scripts/fetch_github_trends.py --since weeklyduplicate, off-scope, low evidence, or already covered).<private-repo>/captures/social-media/github/trends/YYYY-MM-DD.md.Return the snapshot time and scope, ranked repositories/clusters with canonical links, the most important source gaps, and the omitted-candidate audit. A scan is not complete when a high-signal candidate silently disappears between fetch and ranking.