菜单
Shared operating rules for the OpenClaw 100k Posts system. Defines the workspace contract, what files each skill can read or write, and how artifacts move from research to analysis to concept generation to delivery.
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
| name | context-kernel |
| description | Shared operating rules for the OpenClaw 100k Posts system. Defines the workspace contract, what files each skill can read or write, and how artifacts move from research to analysis to concept generation to delivery. |
| metadata | {"openclaw":{"always":true,"user-invocable":false}} |
This skill is the shared system layer for this repo.
It exists to keep the other skills aligned around one runtime contract:
All persistent state lives under ~/clawd/workspace/.
~/clawd/workspace/brand/voice-profile.md~/clawd/workspace/brand/notes.md~/clawd/workspace/content-radar/config.yaml~/clawd/workspace/content-radar/briefings/~/clawd/workspace/content-dna/outputs/~/clawd/workspace/content-dna-batch/dna-cache/~/clawd/workspace/content-dna-batch/reports/~/clawd/workspace/the-forge/outputs/~/clawd/workspace/monday-drop/outputs/voice-lab owns voice-profile.md.voice-lab may append useful discoveries to notes.md.content-radar owns briefing files in content-radar/briefings/.content-dna owns single-video analysis files.content-dna-batch owns pattern reports and DNA cache.the-forge owns forged concept output.monday-drop owns delivery logs and exported run summaries.voice-lab may read any file in workspace/brand/.content-radar should only read config.yaml.content-dna should read voice-profile.md only when adapting concepts.content-dna-batch should read Content DNA outputs and its own cache.the-forge should read voice-profile.md, pattern reports, and optionally the latest content-radar briefing.monday-drop should read config, reports, and forged outputs. It should not invent missing brand state.voice-profile.md without showing the user what will change.notes.md is append-only.voice-profile.md exists, skills may fall back to the demo voice where supported.Batch-analyze a set of videos with Content DNA, then aggregate into a Pattern Report showing dominant formats, top portable bricks, and adapted concepts for your niche. Use when running the weekly Monday Drop pipeline, analyzing a competitor's content library, or researching what's working in a niche. Takes a Virlo comet ID or list of URLs. Feeds into The Forge.
Reverse-engineer any TikTok or Instagram video into a 7-dimension Content DNA breakdown using Gemini Flash 3. Identifies topic, angle, hook structure, story structure, visual format, key visuals, and audio. Also isolates portable bricks and generates 3 adapted concepts for your niche. Use when: user wants to analyze a video, understand why something went viral, steal a format, or generate adapted content concepts from an outlier.
Fuse performance signal and discussion signal into a single niche briefing. Virlo tells you what is performing. `last30days`, when installed, can supply Reddit and X discussion signal; otherwise the agent uses search directives. Use when: user wants a niche briefing, wants signal overlap, wants to know what matters and why, wants validated opportunities, early signals, or format gaps, or needs research prepared for The Forge. Use virlo separately only when the user wants raw performance data without synthesis.
Run the full content pipeline end-to-end: Virlo → Content Radar → The Forge → deliver a weekly pack of ready-to-post concepts. Use when: user asks for 'monday drop', 'run the content pipeline', 'generate my weekly content', 'what should I post this week', or wants a full content briefing with forged concepts. Outputs 5-10 platform-specific content concepts with hooks, angles, and Care To Click arcs.
Turn source patterns into brand-native, ready-to-post content concepts with visible lineage to the original outlier. Runs input through three psychology frameworks (Puppet Strings, Scroll Traps, and Care To Click) plus pattern transfer and brand voice translation. Use when: you have a pattern report, outlier analysis, viral post, or raw research and need to forge it into finished concepts in a real voice. Triggers on: forge this, run through the forge, content concepts from patterns, what should I post about this.
Pull raw performance signal from TikTok, Instagram, and YouTube using your saved Virlo comet. Fetch top videos, creator outliers, and ads for a niche. Use when: user asks what is performing, wants top videos, wants breakout creators, wants creator outliers, wants raw Virlo data, wants ads, needs a comet set up, or needs performance intelligence before synthesis. Do NOT use this as the final briefing layer — use content-radar when the goal is to combine performance with discussion signal and decide what matters.