القائمة
Maintain compiled knowledge pages that sit between raw source artifacts and compact structured memory.
التثبيت باستخدام Codex أو Claude انسخ هذا Prompt والصقه في Codex أو Claude أو مساعد آخر ليراجع صفحة Skill ويثبّتها لك.
استنادا إلى تصنيف SOC المهني
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 | knowledge-ops |
| description | Maintain compiled knowledge pages that sit between raw source artifacts and compact structured memory. |
| memory_tags | ["domain:knowledge","workflow:compiled-knowledge","skill_role:operator","repo_boundary:tools","data_class:private-derived","outputs:markdown-synthesis","risk:medium"] |
Use when:
liferepo/knowledge/LLM_WIKI_ROOTImplementations currently live in:
skills/knowledge-ops/scripts/refresh_agent_managed.py for deterministic candidate extraction and low-risk auto-apply into the configured LLM wikiScheduled refreshes are deterministic and do not call an external LLM provider. When semantic synthesis is needed, the calling agent should review the deterministic candidates and update the wiki within its already-approved runtime instead of delegating private source material to a second model API.