Extracts cognitive patterns, key insights, and action signals from any text input (messages, notes, articles, conversations). Turns raw content into structur...
设计与多媒体
Digest
试用围绕你关注的话题、人物和行业,做周期性新闻摘要:搜集、筛选、排序并送达。
它能做什么
围绕你关心的话题、关注的公司和行业,输出周期性新闻摘要。每期按「搜集 → 筛选 → 排序 → 排版 → 送达 → 学习」六步走,自动去重、核实单源消息,并用条目上限保持精炼。每条都附带标题、一行摘要、对你的意义和来源署名。格式、时间、深度会随你的反馈逐步贴合。
什么时候用它
- 搭一个每日早间行业简报
- 每周追踪竞争对手动态
- 假期或断更后一次性补齐近期要闻
- 收紧一份总漏新闻或越读越长的旧摘要
技能文档
User preferences, learned signals, and the sent-item log live in ~/Clawic/data/digest/ (see setup.md on first use, preferences-template.md for file formats). If you have data at an old location (~/digest/ or ~/clawic/digest/), move it to ~/Clawic/data/digest/.
Configuration
User-dependent variables. Defaults apply until the user states a preference; store them in ~/Clawic/data/digest/config.yaml.
| Variable | Type | Default | Effect |
|---|---|---|---|
| item_cap | number (3-15) | 8 | Hard ceiling on items per digest (rule 5); Highlights stay ≤3 at any cap |
| single_source_policy | hold | hedge | hold | Market-moving or reputational single-source claims: hold one cycle vs ship marked "one source, unverified" (verification.md) |
| channel | text | channel where the digest was first requested | Where digests deliver; drives the per-channel format rules in delivery.md |
| digest_language | text | the language the user writes in | Digest prose language; items keep original-language names and quotes with translated summaries |
| timezone | text | ~/Clawic/profile.yaml, else confirm before first scheduled send | Anchors every scheduled slot and recency window |
Preference areas — learned state lives in ~/Clawic/data/digest/preferences.md and climbs the ladder in learning.md:
- content scope — topics, industries, competitors, people, regions, exclusions; drives Filter
- sourcing — trusted and blocked sources, weighting, recency windows; drives Source
- format & structure — medium, structure, length, tone, visuals; drives Format
- timing & cadence — schedule, frequency, weekday/weekend split, urgent-signal rules; drives Deliver
- prioritization & depth — what leads, what buries, per-topic depth; drives Prioritize
When To Use
- The user wants a recurring daily or weekly briefing on topics they care about
- A news roundup filtered to one person's interests, not a generic feed
- Tracking competitors, an industry, people, or markets with ongoing updates on their moves
- A scheduled topic update is due, or the source list needs building or tuning
- An existing digest feels off: too long, repetitive, missing stories, wrong timing
- Not for: synthesizing documents the user hands you (→
synthesize), internal business reporting (→brief), or full competitor dossiers (→competitor-monitoring)
The test of a real digest: every item carries a why-this-matters-to-you line. A digest that could be sent to anyone is a feed, not a digest.
Quick Reference
| Situation | Play |
|---|---|
| First digest, no preferences | Derive topics from the request; if none derivable, ask the one blocked question (topics) — everything else runs on defaults |
| Story covered by 3+ independent sources | Promote toward Highlights — convergence is an importance signal (rule 4) |
| Surprising claim from a single source | Hold one cycle or ship hedged per single_source_policy; independence test in verification.md |
| Major global news outside user's topics | One line in Worth Noting, never a Highlight — relevance beats magnitude (rule 1) |
| User says "too long" | Cut item count before per-item depth; log the signal (learning.md) |
| Story already shipped in a prior digest | Resurface only as "Update:" + what changed — check the sent log (rule 7) |
| Urgent item mid-cycle | Interrupt only on a [confirmed] or [locked] urgent-signal rule; otherwise hold (delivery.md) |
| No reaction for 3 consecutive digests | Ask one concrete question instead of guessing (learning.md) |
| Slow news day in their topics | Send the short honest version ("quiet day, 2 items") — never pad |
| Big-event day floods one theme | Cluster the theme into one block that counts as one item (triage.md) |
| Competitor activity to report | Moves, not mentions — the move catalog is in competitors.md |
| Gap since last digest (vacation, downtime) | One consolidated catch-up covering the period, top items only (delivery.md) |
| Anything else | Run Source → Filter → Prioritize → Format → Deliver → Learn with current preferences |
Depth on demand: sources.md building and vetting the source list · triage.md dedupe, ranking, slow and heavy days · verification.md claims, rumors, corrections · writing.md item craft and summaries · delivery.md channels, timing, interrupts · learning.md signals and the preference ladder · competitors.md tracking companies and people · dimensions.md dimension catalog with defaults · preferences-template.md data-file formats.
Core Rules
- Relevance beats magnitude. Rank by interest match first, freshness second, source weight third. A tracked competitor's pricing change outranks a world-news headline outside their topics.
- Every item is attributed. No source you can name = item does not ship. Never blend your own inference into a summary unmarked — prefix it: "Likely:" or "My read:".
- Exclusions are binary, interests are weighted. One explicit "don't care about Y" beats any number of inferred interest signals for Y. An excluded topic appears only when it intersects a confirmed interest, flagged as such ("normally excluded; included because it hits X").
- Dedupe before ranking. Same story from N outlets = one item; N itself is rank input — 3+ independent sources covering one story promotes it toward Highlights. Independence = separate original evidence, not separate URLs (
verification.md). - Fixed budget forces curation.
item_cap(default 8) items, hard max 3 Highlights. Adding one over cap means deleting one. Worked example: 12 candidates → 3 Highlights (top interest-match), 5 body items, remaining 4 dropped or compressed into one Worth Noting line. - Preference changes climb a ladder — pattern → confirmed → locked, mechanics in
learning.md. Never jump from a single signal to locked. - The digest remembers what it sent. Log every shipped item to
~/Clawic/data/digest/sent-log.md; repeats resurface only as "Update:" + delta. A digest without memory re-reports yesterday and reads as a broken filter.
Protocol
Source → Filter → Prioritize → Format → Deliver → Learn
- Source — pull from configured feeds and the per-entity source kits (
sources.md). Default weighting: primary > original reporting > aggregators > social; social is discovery, never citation — trace it back before it ships. - Filter — topic match includes; exclusion match drops (rule 3); recency windows per content type (
dimensions.md→ Sources); single-source surprising claims go toverification.md. - Prioritize — cluster duplicates, then rank per rule 1; bury borderline items into Worth Noting, don't delete (
triage.md). - Format — per-item shape: headline → 1-line summary → why it matters to this user → (source). Craft rules in
writing.md; length pressure cuts item count before per-item depth. - Deliver — channel and timing per preferences; interrupts, catch-ups, and per-channel formats in
delivery.md. - Learn — capture reactions into
preferences.mdafter every delivery; signal counting and ladder inlearning.md.
Output Format (Default)
📰 [DIGEST TYPE] — [DATE/TIME]
🔥 HIGHLIGHTS
• [Item — 1-line summary + why it matters to you (source)]
• [Second item]
📋 FULL DIGEST
[Items in per-item shape, ordered per weighting profile]
💡 WORTH NOTING
[Borderline items, one line each]
---
Sources: [count] | Next digest: [time]
Adapt entirely to learned preferences once they exist; the template above is only the cold-start default.
Output Gates
Before sending, verify:
- Every item has a source and a why-it-matters line?
- ≤3 Highlights, each strong enough that the user could read only those?
- Zero exclusion-list items, unless flagged per rule 3?
- Every single-source claim hedged or held per
single_source_policy? - Nothing repeated unchanged from the sent log?
- Channel and time match current preferences; signals from the previous delivery recorded?
Traps
| Trap | Why it fails | Do instead |
|---|---|---|
| Leading with globally important news | User already saw it everywhere; the digest adds zero | Lead with niche relevance; big news gets one line (rule 1) |
| Padding slow days | Trains skimming; erodes trust in Highlights | Short honest digest ("quiet day") |
| Counting syndicated copies as corroboration | Ten outlets rewriting one press release or tweet are one source | Independence test in verification.md before promoting |
| Trusting aggregator timestamps | Aggregators resurface old stories with fresh dates | Check the original dateline against the event date (sources.md) |
| Locking a preference from one comment | One signal may be mood, not preference | Climb the ladder in learning.md (rule 6) |
| Reading silence as satisfaction | Ignored digests look identical to loved ones | No reaction for 3 consecutive digests → ask one question |
| Unmarked opinion inside summaries | User can't separate reporting from your read | Attribute claims; prefix inference (rule 2) |
| Resurfacing yesterday's story unchanged | Repetition reads as a broken filter | Only resurface as "Update:" + what changed (rule 7) |
| Interrupting off-schedule on your own judgment | "Urgent" without a learned rule is noise at a bad hour | Interrupt only per [confirmed]+ urgent-signal rule (delivery.md) |
Where Experts Disagree
- Curation vs completeness. Tight curation is the default — the budget is the product. Some readers want everything as FOMO insurance; the boundary is an explicit request, and the answer is a longer Worth Noting tail, never a bigger Highlights section.
- Relevance-first vs breaking-first. Default: highest interest-match leads. Breaking-first is legitimate for users who act on time-sensitivity (markets, on-call, PR); it must be learned or stated, never assumed from topic choice.
- Neutral summarizer vs opinionated curator. The why-it-matters line is opinion, and it is the digest's value. The boundary: reporting is attributed, inference is prefixed — the reader always knows which is which (rule 2).
Related Skills
More Clawic skills, get them at https://clawic.com/skills/digest (install if the user confirms):
brief— internal business information summarized rather than external news curatedsynthesize— the user provides the documents; you distill instead of sourcing the outside worldcompetitor-monitoring— full competitor dossiers, pricing alerts, and positioning analysis beyond digest itemsnewsletter— the user wants to publish to an audience, not receive a personal digest
Feedback
- If useful, star it: https://clawic.com/skills/digest
- Latest version: https://clawic.com/skills/digest
Part of Clawic, the verified skill library. Get this skill: https://clawic.com/skills/digest.
常见问题
- 每期摘要包含多少条?
- 默认最多 8 条(区间 3–15),其中 Highlights 不超过 3 条。多加一条就得删一条,预算本身就在驱动筛选。
- 只有一家媒体报道的消息怎么处理?
- 按你的「单源策略」执行:要么压一期再发,要么标注「单一来源、未经核实」发出;社交媒体线索一定会追溯到原始来源才会发布。
- 摘要会学习我的偏好吗?
- 会。你的反应会沉淀进话题、信源、时间、深度等偏好;信号按「模式 → 确认 → 锁定」阶梯上升,单次评论不会直接锁定。
相关技能
Automatically scrape, process, and generate daily news digests from Chinese news sources. Covers industry dynamics, policy updates, economy, tech, energy, and pricing information. Use when: user asks for daily news summary, news digest, 每日新闻摘要, 新闻汇总, 新闻摘要, or wants to set up automated news monitoring from Chinese news websites. Outputs formatted summaries with source attribution and original links.
Fetch a web page and produce a structured markdown digest: title, key points, entities, action items, and a one-paragraph TL;DR. Use when the user shares a URL and asks for a quick summary, briefing, or extraction of actionable information.
Personalized daily news briefings/digests and real-time breaking-news alerts from newsflash.sh — a deduped news event graph where every event carries a corroboration count and confidence score. Use when the user asks about news, headlines, markets, crypto, what's happening, wants a daily digest or recurring briefing, or wants to be alerted when something breaks.
Generate a daily AI news digest newsletter from fresh web sources. Use this skill whenever a user asks for AI news, wants a roundup or summary of recent AI/ML developments, asks what happened in artificial intelligence today or this week, requests a newsletter, briefing, or digest of model releases, research papers, funding rounds, product launches, regulation, or benchmark results — even if they don't explicitly say "newsletter." Also use for follow-up requests like "more AI news" or "catch me up on AI."
多角度新闻研究与竞争情报,综合后输出为 Agent 可直接消费的简报。