القائمة
Use Sage Feed items and digests to curate research briefs, topic radars, reading queues, and saved-item summaries from Sage's existing feed observations.
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
Configure Sage's existing Feed sources and interests. Use when the user wants to add RSS, GitHub, Hacker News, Reddit, arXiv, or topic interests to Sage Feed.
Use Sage's existing Feed engine for fresh research, trend, and topic questions. Prefer Sage Feed MCP tools over ad hoc web fetching when the user asks what is new, relevant, or worth reading.
Personal reflection partner — warm, insightful, Socratic. For emotions, relationships, self-discovery, and life questions.
Professional advisor mode for work topics — strategic analysis, decision frameworks, structured recommendations.
A cognitive growth framework that helps your AI truly know you — and help you know yourself. Includes personality profiling, behavioral pattern detection, reflective mirroring, and Socratic questioning.
A decision capture and review system that records every significant choice — with context, reasoning, and alternatives — so you can detect your own blind spots and decision patterns over time.
| name | sage-feed-curator |
| description | Use Sage Feed items and digests to curate research briefs, topic radars, reading queues, and saved-item summaries from Sage's existing feed observations. |
| version | 0.1.0 |
| metadata | {"openclaw":{"emoji":"🗞️","homepage":"https://github.com/EvanL1/sage","tags":["feed","digest","curation","briefing"]}} |
Use this skill when the user wants a digest, radar, reading list, trend brief, or cleanup of collected feed items.
sage_feed_digest(history=true)
sage_feed_digest(date)
sage_feed_items(limit, include_archived=false)
sage_feed_items(bookmarked_only=true)
sage_feed_feedback(action="bookmark")
sage_feed_feedback(action="archive", category="noise")
sage_feed_feedback(action="learned")
feed_digest output when it is available; refine it
instead of regenerating a parallel version from scratch.