Best Agent Skills

Nine Top-100 lists, refreshed daily, with the raw per-platform numbers kept next to every score. Full guide and column dictionary: https://raw.githubusercontent.com/LinklyAI/best-skills/main/llms.txt

When to use

• "Which skill should I install for browser automation / PDF / …" → best-100.csv, filter by description and skill
• "What is trending / new this week" → trending-7d.csv, rising-stars.csv
• "Is <skill> popular, maintained, official?" → best-100.csv (score and dimensions), official-100.csv, most-active.csv
• "Compare A and B" → look both up by skill_key, cite raw counts per platform

Not for: installing skills (hand the user the install command), full-text search of every skill in existence (only the Top 100 per list is published; the raw snapshots under data/latest/raw/ go deeper), judging quality beyond the published counts.

Workflow

1. Fetch https://raw.githubusercontent.com/LinklyAI/best-skills/main/llms.txt first. It is the current column dictionary and the rules; do not rely on a cached copy.
2. Pick the list, fetch https://raw.githubusercontent.com/LinklyAI/best-skills/main/data/latest/rankings/<list>.csv (4, 90 KB, ≤100 rows). Parse by header name; an empty cell means "not measured", not zero.
3. Answer with rank, the raw numbers, install and url. Show vendor next to skill: same-name skills from different vendors are different skills.
4. For history, replace latest with YYYY-MM-DD (daily since 2026-08-16).

Lists

best-100 (overall score), top-installs, trending-7d, social-buzz, most-active, official-100, official-vendors, top-repos, rising-stars.

Rules

• Never add install counts across platforms; present them side by side.
• Absent from a list ≠ zero; lists are truncated at 100.
• Attribute republished data: "Data from Best Skills (https://github.com/LinklyAI/best-skills), CC BY 4.0".