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- readwiseio/readwise-skills
- 최근 소스 활동
- 2026년 3월 13일 09:14
- 감지된 SKILL.md 언어
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- 304
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설치 방법
기본적으로 소스를 먼저 확인하는 Prompt가 선택됩니다. 직접 명령으로 전환하거나 로컬 사본을 다운로드할 수도 있습니다.
소스 파일 검토
설치 여부를 결정하기 전에 SKILL.md와 SkillsMP에 표시된 보조 파일을 읽어 보세요.
메뉴
기본적으로 소스를 먼저 확인하는 Prompt가 선택됩니다. 직접 명령으로 전환하거나 로컬 사본을 다운로드할 수도 있습니다.
설치 여부를 결정하기 전에 SKILL.md와 SkillsMP에 표시된 보조 파일을 읽어 보세요.
Codex 또는 Claude로 설치 이 Prompt를 복사해 Codex, Claude 또는 다른 어시스턴트에 붙여 넣으면 Skill 페이지를 검토하고 설치를 진행할 수 있습니다.
직접 명령은 검토 Prompt를 거치지 않습니다. 실행하기 전에 소스를 확인하세요.
npx skills add https://github.com/readwiseio/readwise-skills --skill feed-catchup명령은 한 줄로 유지됩니다. 복사하기 전에 가로로 스크롤해 전체 내용을 확인하세요.
로컬 사본을 원하시나요? SkillsMP에서 현재 제공할 수 있는 파일을 다운로드하세요.
SOC 직업 분류 기준
SKILL.md 표시 중
| name | feed-catchup |
| description | Catch up on your RSS feed — highlights up top, full browse below |
You are helping the user catch up on their Readwise Reader RSS feed. Follow this process carefully.
Check if Readwise MCP tools are available (e.g. mcp__readwise__reader_list_documents). If they are, use them throughout. If not, use the equivalent readwise CLI commands instead (e.g. readwise list, readwise read <id>, readwise move <id> <location>). The instructions below reference MCP tool names — translate to CLI equivalents as needed.
IMPORTANT — do this in a single parallel turn before anything else:
Call ToolSearch with query "readwise list documents" AND read reader_persona.md at the same time. Both must happen in the same message as parallel tool calls. The ToolSearch loads the deferred readwise MCP tools so you can call them directly. Never use a Task/subagent to fetch feed data — the overhead makes startup brutally slow.
Check for persona file. (Done in parallel above.) Use it throughout the session to personalize commentary and picks. If no persona file exists, note briefly that feed catchup will be less personalized and suggest running build-persona first — but proceed without waiting. If you show this message, add · · · after it.
Fetch feed documents. Call mcp__readwise__reader_list_documents with location="feed", limit=20, and response_fields=["title", "author", "category", "word_count", "reading_time", "summary", "url", "site_name", "published_date", "saved_at", "first_opened_at"]. Documents come back most-recently-saved first. Filter to items where first_opened_at is null (unseen). If you have fewer than 20 unseen items and a nextPageCursor is returned, paginate until you have 20 unseen items OR the cursor runs out. Hold all unseen items in memory. (Note: the list API does not support server-side seen filtering — client-side first_opened_at check is required.)
If truly nothing left: Only declare the feed fully caught up if you paginated through multiple pages and found zero unseen items. In that case, say so briefly and end.
Pick the top 5. From the collected unseen items, select the 5 most worth reading based on the persona (if available) or general signal quality. Prioritize: high-density insight, direct relevance to their current interests, first-person operator takes, and novelty.
Render the overview exactly like this:
📡 Reader Feed
{1-2 sentences explaining what you looked at and what stood out — e.g. "Scanned the last 20 unseen items. AI and software architecture dominate, with a few standouts worth pulling."}
Today's picks (spanning {human-readable time range, e.g. "the last 8 hours" or "Feb 24–26"}):
| # | Title | Source | Time | Why |
|---|---|---|---|---|
| 1 | Title | site_name | reading_time | One-line reason this made the cut |
| 2 | ... | ... | ... | ... |
{1-2 sentences of commentary on the picks as a set — what the pattern is, or why these five in particular.}
· · ·
Want to act on any of these, or browse everything?
If the user says "browse all" (or similar), enter the batch-by-batch loop. Present unseen items 20 at a time:
Before the table, add a single line with the time range covered by the batch, e.g. "Feb 26, 3:00–11:00 PM" or "last 4 hours" — derived from the saved_at values of the items in that batch.
| # | Title | Source | Time | Summary |
|---|---|---|---|---|
| 1 | Title | site_name | reading_time | Brief summary from metadata — one line, truncated if needed |
| 2 | ... | ... | ... | ... |
After the table, give a brief commentary (1-2 sentences) on the batch — what stands out relative to their interests.
(You can act on multiple items at once, e.g. "later 2, 5, 8")
mcp__readwise__reader_bulk_edit_document_metadata with documents set to [{document_id: <id>, seen: true}, ...] for every document in the current batch. This is a single call, not one per document. Do not move or archive them. Then display the next batch of 20.later location. Confirm briefly, then continue.later. Confirm briefly.new, shortlist, or archive). Confirm briefly.mcp__readwise__reader_get_document_details. If the document is 3 mins or under, show the full content verbatim — no summary. If over 3 mins, give a richer summary with why-read/why-skip reasoning. Then re-present the options.https://read.readwise.io/read/{id}) so they can open it directly.When loading the next batch, use · · · as a visual separator before the next table.