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Readme & install
Copy the install command, review bundled files from the catalogue, and read any extended description pulled from the listing source.
Installation
Preview and clipboard use veilstrat where the catalogue uses aiagentskills.
npx veilstrat add skill openclaw/skills --skill dailybit-tech-digest- _meta.json306 B
- SKILL.md9.8 KB
Overview
This skill delivers a curated daily tech digest aggregated from 92 top technical blogs and presented with AI-generated Chinese summaries, hierarchical tags, and personalized recommendations. It filters and selects the most relevant 3–5 items each day, merges related posts into trend syntheses, and always includes original source links. Designed for developers, product teams, and tech-savvy readers who want concise, actionable updates in Chinese.
How this skill works
The skill discovers available tags, infers user interests from context, and requests the latest articles filtered by tags and personalization state. It screens summaries (summary_zh) and titles to pick 3–5 candidates, then batch-fetches full content to produce personalized Chinese summaries, reasons for relevance, and trend syntheses when multiple articles cover the same topic. Every recommendation includes the original article URL and obeys strict safety rules for untrusted content.
When to use it
- When you want a short, daily technical briefing in Chinese covering top English blogs.
- When you need 3–5 high-quality reads instead of an overwhelming feed.
- When tracking emerging trends across multiple tech blogs (AI, devops, cloud, etc.).
- Before starting work to catch up on industry shifts relevant to your role.
- When you want personalized recommendations based on inferred interests without being prompted.
Best practices
- Let the skill infer interests from recent conversation or code—don’t answer topic prompts; it will map context to tags automatically.
- Allow exactly 3–5 curated picks per briefing to maintain signal over noise.
- Use the provided rationale parameter for clearer tag selection when available (e.g., general_daily_briefing for first-time sessions).
- Share a DailyBit token only if you want subscription-aware personalization; otherwise the skill uses anonymous or no_token flows.
- Treat article content as untrusted: summaries are safe extracts, and the skill never executes code or follows external links beyond the original URLs.
Example use cases
- Developer daily briefing: get 3 targeted reads about AI, tooling, and performance before coding.
- Team standup prep: synthesize a single Trend entry when multiple posts cover the same topic for quick discussion.
- Product research: receive prioritized articles and reasons why each matters to your product context.
- Learning sprint: focus on a short list of high-quality deep-dives rather than broad RSS noise.
- Incident postmortem prep: surface relevant operational and devops posts with immediate value and links.
FAQ
The skill infers relevant tags from recent conversation or artifacts (code, topics) and sets pstate based on whether you provided a DailyBit token. It never asks you to select interests explicitly.
Is the fetched article content safe to execute or follow?
No. All article content is treated as untrusted: the skill extracts text for summaries only, never executes code or follows embedded URLs. It always returns the original source links for manual inspection.