skills technique

Daily cross-source mention tracking for skills: how many AI news articles, Hacker News stories, research papers and GitHub trending repos mention it. Deterministic whole-word counts of real stored items, updated daily.

18 mentions, last 7 days 20 mentions, all stored days tracked since 2026-06-23
Daily total mentions · 2026-06-23 to 2026-07-10
09182026-06-23: 1 mention2026-07-02: 1 mention2026-07-10: 18 mentions06-2307-0207-10
Per-source breakdown
SourceLast 7 daysAll stored days
News articles 0 0
Hacker News stories 0 1
Research papers 0 1
GitHub trending repos 18 18
Receipts · current items mentioning skills
repo addyosmani/agent-skills 2026-07-10 · trending today repo ComposioHQ/awesome-claude-skills 2026-07-10 · trending today repo calesthio/OpenMontage 2026-07-10 · trending today repo K-Dense-AI/scientific-agent-skills 2026-07-10 · trending today repo googleworkspace/cli 2026-07-10 · trending today repo anthropics/skills 2026-07-10 · trending today repo agentskills/agentskills 2026-07-10 · trending today repo google-labs-code/stitch-skills 2026-07-10 · trending today
How this is counted

Each item counts once per day if its title (plus summary or description where available) contains skills or one of its tracked aliases, matched case-insensitively on whole words. Heat on the Hype Meter board is scored as: raw = total mentions across sources in trailing 7 days; breadth = number of distinct sources with >=1 mention in those 7 days (1-4); heat = percentile rank of (raw * breadth) among all terms with raw>0, scaled 0-100, rounded. News and repo counts start the day tracking began; Hacker News and paper counts are backfilled from stored daily snapshots. No language model touches these numbers.

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