菜单
Modular tooling for journal ingestion, prep, and derived-context generation. Use when work involves reusable journal processing logic.
用 Codex 或 Claude 帮你安装 复制这段 Prompt，粘贴到 Codex、Claude 或其他助手里，让它检查 Skill 页面并帮你完成安装。
基于 SOC 职业分类
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.
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.
Check X/Twitter using xbot's browser-session GraphQL reader. Use for fast, browserless fetches of For You, Following, user, and search/outlier surfaces without consuming official X API credits.
| name | journal-ops |
| description | Modular tooling for journal ingestion, prep, and derived-context generation. Use when work involves reusable journal processing logic. |
| memory_tags | ["domain:journal","workflow:daily-summary","skill_role:operator","repo_boundary:tools","data_class:private-derived","risk:medium"] |
Use this skill when implementing reusable journal tooling such as:
liferepo/journal/<private-repo>/journal/Implementations currently live in:
skills/journal-ops/scripts/skills/journal-ops/config/daily_workflow_modules.yml defines the module
profiles used to keep daily workflow prep lightweight without changing the
normal output contract.Legacy entrypoints remain in <private-repo>/scripts/journal/ as wrappers that
delegate to this skill.
The prep runner discovers transcript sources and refreshes objective context; it does not interpret transcripts or call an external model provider. The active Codex agent must read the available transcript text directly, interpret all same-day sources together, and write the most useful supported synthesis into the private journal.
The standard and full prep profiles also create a bounded private iMessage
daily-context staging file through exports-ops. Treat it like transcript
source material: the active Codex agent interprets it, but only derived
day-level context belongs in the journal. The check-in profile skips Messages.