Daniel San ✓

@dani_avila7 · New York, USA · joined 08 Jan 2015

Head of AI at https://t.co/04TQdit36I | OSS project https://t.co/pEjytZiAFd | Powered by TS, Python & Vanilla Lattes ☕️

33 920Followers

3 401Following

4 012Posts total

1.3MViews on collected posts

Последние посты

Daniel San ✓@dani_avila714 Sep

It's a common mistake to confuse MCP Prompts with Skills Prompts are a protocol primitive, reusable templates the user invokes explicitly... like Claude Code's slash commands Skills are workflow packages the model applies across servers, with discovery and versioning, same 487 views · 3 likes · 1 reposts · 0 replies Open on X →

Daniel San ✓@dani_avila714 Sep

@dani_avila7 @dani_avila7 this is massive! I remember hitting roadblocks with skill discovery before. Making it streamlined like this can save tons of time. 15 views · 1 likes · 0 reposts · 0 replies Open on X →

Daniel San ✓@dani_avila714 Sep

@dani_avila7 MCP skills extension only solve the issue of centralized skills distribution, which is good. But you don't need to extend MCP protocol for this, beacause it's already has PROMPTS, which basically is the same. Only codex harness does not support this. Claude/opencode 421 views · 1 likes · 0 reposts · 1 replies Open on X →

Daniel San ✓@dani_avila714 Sep

@dani_avila7 按需加载 SKILL.md 省的是 prompt 端 context，metadata 发现本身也吃 token，skill 数量一上来发现成本就是新瓶颈。 936 views · 3 likes · 0 reposts · 0 replies Open on X →

Daniel San ✓@dani_avila714 Sep

More details about the implementation here: https://t.co/8hfvjmZUmj 6.5K views · 31 likes · 3 reposts · 3 replies Open on X →

Daniel San ✓@dani_avila714 Sep

@dani_avila7 discovering skills on demand instead of stuffing the whole context is the obvious move, glad someone finally shipped it 211 views · 2 likes · 0 reposts · 0 replies Open on X →

Daniel San ✓@dani_avila714 Sep

Ok, this is big! MCP now defines an extension specifically for discovering and loading Agent Skills from MCP servers (Save this, It’s worth reading how it works) The flow is pretty simple: - MCP Server - Discover available Skills - Get Skill metadata - Load the SKILL.md 87.8K views · 989 likes · 115 reposts · 72 replies Open on X →

Daniel San ✓@dani_avila713 Sep

Did you know you can order a physical X Visa card? Mine just arrived and it’s surprisingly heavy. It’s made of metal, very different from a regular plastic card I also love that it has my X handle printed right on the card And it was completely free… I just ordered it from htt

3.7K views · 13 likes · 0 reposts · 3 replies Open on X →

Daniel San ✓@dani_avila719 Feb

@dani_avila7 I don't understand how your S-A-N-D mnemonic device is helping you. The letters don't correspond with the keyboard shortcuts, which are the hard thing to remember. What is SAND supposed to remind me of - that it's possible for me to split my terminal window and then 9.9K views · 21 likes · 0 reposts · 0 replies Open on X →

Daniel San ✓@dani_avila717 Feb

@dani_avila7 really enjoyed this reading and pulled your pane management keybindings 🏆 One extra setting that I added was to reduce the white overlay on unfocused panes: # Slight, darker dim instead of white blur unfocused-split-opacity = 0.75 unfocused-split-fill = "#000000" 5.7K views · 9 likes · 0 reposts · 1 replies Open on X →

Daniel San ✓@dani_avila715 Feb

@dani_avila7 I've been loving Ghostty. I started the lazyide project because I've been wanting to spend all of my time in the terminal now. Check out lazyide: https://t.co/LM2tHD80aC https://t.co/hGgRbzqKvN

GIF

8.4K views · 24 likes · 1 reposts · 0 replies Open on X →

Daniel San ✓@dani_avila715 Feb

https://t.co/hk8ThhSDTo 1.2M views · 2.3K likes · 152 reposts · 66 replies Open on X →

На фоне аккаунтов своего размера

8 постов за последние 90 дней рядом с диапазоном 10K–100K подписчиков. ниже своих по обоим показателям — и по охвату, и по отклику.

Медианные просмотры712этот аккаунт956медиана для 10K–100K

Охват, %2.10%этот аккаунт3.52%медиана для 10K–100K

Вовлечённость, %0.70%этот аккаунт1.57%медиана для 10K–100K

Показатель	Этот аккаунт	Медиана для 10K–100K	Отношение
Медианные просмотры на пост	712	956	0.74×
Охват (просмотры ÷ подписчики)	2.10%	3.52%	0.60×
Вовлечённость	0.70%	1.57%	0.44×

Другие в этом диапазоне → Сравнить с другим аккаунтом → Как считаются эти ориентиры →

Growth & engagement

How the posts we collected actually performed: views and reaction rate post by post, what the audience did with them, and where the follower count goes.

Views per post

1.2M15 Feb

8.4K

5.7K17 Feb

9.9K19 Feb

3.7K13 Sep

87.8K14 Sep

211

6.5K

936

421

487

Last 12 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.

Engagement rate per post

0.22%15 Feb

0.30%

0.17%17 Feb

0.21%19 Feb

0.43%13 Sep

1.34%14 Sep

0.95%

0.57%

0.32%

0.48%

6.67%

0.82%

Reactions — likes, reposts, replies and quotes — divided by views. Median for 10K–100K accounts is 1.57%.

What the audience does

Likes29.1%3 417 in total

Reposts2.3%272 in total

Replies1.2%146 in total

Bookmarks67.3%7 890 in total

Share of every reaction we collected for this account. Replies mean argument, reposts mean endorsement, bookmarks mean the post was worth keeping.

The follower curve appears once this account has two daily snapshots — we take one a day, and this one is on its first.

Последние посты

На фоне аккаунтов своего размера

Growth & engagement

Views per post

Engagement rate per post

What the audience does

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