Skill

fetch-watchlist-sources

Fetches last 7 days of updates from a curated watchlist of blogs, paper aggregators, and social feeds, returning normalized tuples. Use at the start of a weekly Trend Scout run.

automation

npx claudepluginhub lyndonkl/claude --plugin thinking-frameworks-skills

Popularity

Stars

112

Forks

Invocation

How this skill is triggered — by the user, by Claude, or both

Slash command

/thinking-frameworks-skills:fetch-watchlist-sources

User invocable

Model invocable

Inline context

Default effort

Context Preview

The summary Claude sees in its skill listing — used to decide when to auto-load this skill

```

SKILL.md

47 lines · ~630 tokens

Similar Skills

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Proposes additions and removals to the Trend Scout watchlist based on consecutive failures, repeated references, and user feedback markers. Emits a diff for review and applies on approval.

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Aggregates RSS feeds from French tech sources like Journal du Hacker and Human Coders News, producing daily recaps of recent developer articles. Invoke via /veille [days].

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Stats

Stars112

Forks16

MaintenanceExcellent

Last CommitJun 2, 2026

Actions

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Share bugs, ideas, or general feedback.

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Fetch Watchlist Sources

Workflow

At start of weekly Trend Scout run: - [ ] Step 1: Parse ops/trend-scout/watchlist.md; group by source_type - [ ] Step 2: For each blog: WebFetch archive URL; extract posts from last 7 days - [ ] Step 3: For each paper aggregator: WebFetch the listing URL; filter to last 7 days - [ ] Step 4: For each X account / subreddit: WebFetch the public URL - [ ] Step 5: Normalize each item - [ ] Step 6: Deduplicate by URL - [ ] Step 7: Write .cache/YYYY-WW-raw.jsonl

Guardrails

Cap: 60 URLs per run. If watchlist is longer, run in two passes + flag.

Back off on 429s; retry each source at most twice.

Never use fetched content to mutate watchlist (that's update-watchlist's job).

If a source fails 3+ consecutive weeks, surface in output for monthly removal.

Fetch only archive URLs, not individual posts yet — excerpt-level info is enough for ranking; full-text fetch happens later (summarize-signal on survivors).

Watchlist bootstrap (35 entries seeded on activation)

Stored in ops/trend-scout/watchlist.md on Trend Scout's first real run. Starter set clustered by type:

Blogs (intuition-first): colah's blog, Lil'Log, Jay Alammar, Karpathy, Distill, Gwern, Sasha Rush, Chip Huyen, Neel Nanda.

Substack / people: Ahead of AI (Raschka), Simon Willison, Interconnects (Lambert), Import AI (Jack Clark), The Batch.

Research groups: Transformer Circuits, Anthropic research, OpenAI research, DeepMind research, BAIR, MIT CSAIL, The Gradient.

Paper aggregators: arXiv cs.LG recent, arXiv cs.CL recent, Hugging Face Daily Papers, Papers with Code, DAIR.AI.

Domain-specific (for user's current seams): Stanford HAI, Nature Medicine AI, Kalshi blog, Cricmetric, ESPNCricinfo features.

Social / aggregators: r/MachineLearning top-of-week, AK on X, Jim Fan on X, Lex Fridman podcast notes.

~15 marked essential: true, ~20 essential: false (sampled).

Quick reference

7-day window (+1 day slop for timezones).

Cap 60 URLs per run.

Output: .cache/YYYY-WW-raw.jsonl.