A
@Av1dlive
https://t.co/pJBGrcltif here is the original video
3
0
370
@Av1dliveposted on X
Anthropic's applied AI team just showed how to actually prompt agents properly. 30 minutes. free. from the people who built Claude Code. watch the workshop. bookmark it. you've been prompting Claude without these 40 templates. I built a skill that applies them for you. read the guide below.
View original tweet on X →
Community Sentiment Analysis
Real-time analysis of public opinion and engagement
Sentiment Distribution
65% Engaged
61% Positive
Positive
61%
Negative
4%
Neutral
36%
Key Takeaways
What the community is saying — both sides
Supporting
1
gratitude and praise
“thanks,” “super useful,” “needed,” “banger” and bookmarks show people found immediate value.
2
repo / prompt sheet
as the go-to asset — “Repo is the banger,” “check the repo… get all the skills.”
3
apply the skills
directly — “If you don't want to read the article, you can just apply these skills and it'll work.”
4
context caching
is the real unlock and, combined with solid templates, makes agentic loops affordable.
5
building or adapting tools
based on the ideas and changing how they use models (“been using Claude wrong… building something”).
6
still hold up into late 2025
, implying ongoing relevance.
Opposing
1
Casual gratitude and camaraderie
A brief, informal thank-you — "thanks Sid happy birthday homeboy" — that signals warmth, familiarity and a playful friend-to-friend tone.
2
Low public engagement
With just one like, the exchange reads as a private, low-visibility interaction rather than a widely noticed moment.
Top Reactions
Most popular replies, ranked by engagement
A
@Av1dlive
https://t.co/kYCUmLeYIn If you don't want to read the article, you can just apply these skills and it'll work.
3
0
204
E
@eng_khairallah1
BANGER HABIBI
3
1
45
A
@Av1dlive
thanks Sid happy birthday homeboy
1
1
16
Report an Issue
Found something wrong with this article? Let us know and we'll look into it.