Repo to reproduce in the thread:
https://t.co/MuEQuKNkF7
4 scenarios:
- noisy main context
- clean subagent
- fork subagent
- 5-level nested chain from the video
for anyone asking where to learn this stuff:
• RAG → https://t.co/4bzbUIwV5g
• Agentic RAG → https://t.co/IotOiGmV1Y
• AI Agents → https://t.co/nEeMnVJQbk
• Multi-Agent Systems → https://t.co/pavDPVJEFj
• LangGraph → https://t.co/3miEqqFzF0
• LangGraph (code) → https://t.co/v7kxHZXqba
• MCP → https://t.co/lKawRb4etX
• Memory Systems → https://t.co/LSaT2UaPAS
• Evals → https://t.co/vxChxa1kqQ
• Context Engineering → search "Context Engineering Survey" on arXiv
and please skip the "build an ai agent in 10 minutes" videos
build something, watch it fail, then figure out why.
Microsoft just open-sourced SkillOpt!
A framework for training agent skills like neural networks:
SkillOpt treats a plain markdown file as the trainable parameter of a frozen LLM agent, applying the same optimization discipline used in weight training: learning rates, validation gates, batch sizes, and epoch schedules.
The analogy maps precisely. The skill document is the parameter. Trajectory-derived edits are the gradient direction. An edit budget is the learning rate. A held-out split is the validation check.
Here's how it works.
A frozen model runs tasks with the current skill and produces scored trajectories. A separate optimizer model analyzes failures in minibatches, proposes structured add/delete/replace edits, and ranks them under a budget cap.
If the candidate skill improves performance on a held-out split, the edit is accepted. If not, it's rejected and stored so the optimizer avoids repeating failed changes.
The deployed output is a single best_skill. md file, typically 300 to 2,000 tokens. No weight changes, no extra inference-time calls.
The learned rules are compact and readable. These read like rules a thoughtful engineer would write after a day with the benchmark, except they were discovered automatically.
Learn more:
Paper: https://t.co/sdj5DW7t9h
GitHub: https://t.co/W3DcpBCni0
SkillOpt isn't the first system to treat skills as something you can optimize.
Hermes Agent independently built the same idea through a combination of skill_manage, Curator, and an optimization loop called GEPA that scores, mutates, and promotes skill documents across runs.
Two teams, different architectures, same conclusion: the skill file is the highest-leverage thing to optimize in a frozen-model agent.
I wrote a deep dive on how the Hermes agent works and covered all of these topics briefly.
The article is quoted below.
Whether you're designing for @salesforce Headless 360 or governing what agents are allowed to do before they do it, trust has to be designed in to your solution.
🧩
This 🆕 blog breaks down how Salesforce authenticates, authorizes, and audits external agents calling your org, and how to apply the right trust model for your agentic architecture.
Read the blog: https://t.co/mF74kNhchs
The entire RAG industry is about to get cooked.
Researchers have built a new RAG approach that:
- does not need a vector DB.
- does not embed data.
- involves no chunking.
- performs no similarity search.
It's called PageIndex. Instead of chunking your docs and stuffing them into pinecone, it builds a tree index and lets the LLM reason through it like a human reading a book.
hit 98.7% on financebench. beats every vector RAG on the leaderboard.
no embeddings. no chunking. no vector DB.
100% open source.
#TDX26 is over, but the learning doesn't stop here.
Take the TDX Quest to learn how Agentic AI is changing the game and get hands-on with the latest Agentforce innovations.
Complete by May 31, 2026 for a chance to win* a TDX Prize Box or @Salesforce cert voucher. ➡️ https://t.co/FvNfM3wtc9
*See Official Rules
Stop bookmarking 50 guides you'll never read.
You can skip all of it with these 15 free guides:
Claude 101: https://t.co/jw2qdIcjnh
Claude Code: https://t.co/UgE9xBXVbE
Claude Skills: https://t.co/6cHYYfjXEA
Stop prompting: https://t.co/j1LATSJiat
Claude in Excel: https://t.co/mfcXYSACWR
1M followers with AI: https://t.co/jZwxZr4ZhU
Claude for your team: https://t.co/qxlcqhf8bM
No prompt saves you: https://t.co/SDKJWylftC
AI Slides (PPT in 2026): https://t.co/L0bPMgXci6
Set up Claude Cowork: https://t.co/uWTpOI3Woc
Claude to sound like you: https://t.co/99RzxXU3p0
Claude interactive charts: https://t.co/ebCHGZqOF1
Claude as your computer: https://t.co/TxYuHPjgbV
Claude Cowork + Project: https://t.co/Q7AN9CZAbO
Set up AI before prompting: https://t.co/pE3OF72A04
___
1. Save this list for later (three dots, top right).
2. Share it with a friend by ♻️ reposting this image.
3. Subscribe to my free newsletter: https://t.co/psB7XxB2Y4.
10 GitHub repos to spend 60-90% less tokens in Claude Code:
1. RTK (Rust Token Killer)
CLI proxy that filters terminal output before it hits your context
- 60-90% reduction on common dev commands
- one binary, zero dependencies
- works with Claude Code, Cursor, Copilot
Repo: https://t.co/WayvpBtyBH
2. Context Mode
Sandboxes raw tool output into SQLite instead of dumping it into context
- 98% context reduction on Playwright, GitHub, logs
- only clean summaries enter your conversation
- works as Claude Code plugin
Repo: https://t.co/YNbFIGQz7X
3. code-review-graph
Local knowledge graph that maps your codebase with Tree-sitter
- Claude reads only what matters, not the entire repo
- 49x token reduction on large monorepos
- 6.8x on average reviews
Repo: https://t.co/9gIzmAWN12
4. Token Savior
MCP server that navigates code by symbols, not full files
- 97% reduction on code navigation
- persistent memory across sessions
- 69 tools, zero external deps
Repo: https://t.co/OtvhrMgGWh
5. Caveman Claude
makes Claude talk like a caveman to cut output tokens
- 65-75% output reduction
- one-line install
- keeps full technical accuracy
Repo: https://t.co/onBeghTyfH
6. claude-token-efficient
one CLAUDE.md file that keeps responses terse
- drop-in, no code changes
- reduces output verbosity on heavy workflows
- best for output-heavy sessions
Repo: https://t.co/j6MKo9klQe
7. token-optimizer-mcp
MCP server with caching, compression, and smart tool intelligence
- 95%+ token reduction through intelligent caching
- compresses repeated tool outputs
Repo: https://t.co/0jIVQ4ANls
8. claude-token-optimizer
reusable setup prompts for optimizing any project
- 90% token savings in 5 minutes
- reduces doc token usage from 11K to 1.3K
Repo: https://t.co/puil9WwFGB
9. token-optimizer
finds ghost tokens that silently eat your context
- survives compaction without losing quality
- fixes context quality decay
Repo: https://t.co/92G8e4yeGq
10. claude-context (by Zilliz)
code search MCP that makes your entire codebase the context
- ~40% reduction with equivalent retrieval quality
- hybrid BM25 + dense vector search
Repo: https://t.co/yjfiQOSy15
[ how to stack them ]:
you don't need all 10. pick 2-3 based on your workflow:
> heavy terminal output? RTK
> big codebase? code-review-graph + Token Savior
> lots of MCP servers? Context Mode
> quick fix? Caveman + claude-token-efficient
most people are burning tokens without knowing it
run /context in a fresh session and see how much is gone before you even type a word
your pocket will thank me later :<)
The agentic economy has landed.
Meet AgentExchange—one marketplace for trusted AI agents, apps, and @SlackHQ.
10K+ agents & tools. 160K+ enterprise customers.
Builders & ISVs: distribute, monetize, and scale.
Backed by a $50M Builders Initiative. See it live at #TDX26.
📣 Introducing a brand new sample app: @Salesforce Multi-Framework Recipes.
Dive into a collection of easy-to-digest code examples for building modern web apps on Salesforce.
Explore the recipes today. 👉 https://t.co/AZaIkv1vZd
📣 Innovate with total flexibility with Salesforce Multi-framework. #TDX26
Build native Salesforce apps with React on the Agentforce 360 Platform, with built-in authentication, security, and governance.
Learn about the launch in the blog. https://t.co/SArnLxVcFi
Best GitHub repos for Claude Code that will 10x your next project in 2026:
1. Claude Skills
https://t.co/C0mQ31YOHt…
2. Claude Code Plugins + Skills
https://t.co/tEvfqFF5zv…
3. Awesome Claude Skills
https://t.co/jGnoJ4ECqU…
4. Awesome Claude Skills
https://t.co/CUNRb5NOI9…
5. Repomix
https://t.co/LXQmjCslD9…
6. Claude Session Restore
https://t.co/aMDjZFXUyS…
7. Awesome Claude Code Toolkit
https://t.co/tcffwODGV4…
8. Awesome Claude Code
https://t.co/bp1tG9mDT8…
9. Claude Code Best Practice
https://t.co/NGUp2Cfct9…
10. Superpowers
https://t.co/sL8s2qE6Cr…
Best GitHub repos for Claude code that will 10x your next project:
1. Superpowers
https://t.co/U5Y4BK9Lap
2. Awesome Claude Code
https://t.co/qcgoxU3Up2
3. GSD (Get Shit Done)
https://t.co/WfAhllWnTR
4. Claude Mem
https://t.co/XLQpwdnIWN
5. UI UX Pro Max
https://t.co/aQtGjMzKus
6. n8n-MCP
https://t.co/7le1aluZXH
7. Obsidian Skills
https://t.co/MUaoyUnasw
8. LightRAG
https://t.co/ye8z4UqaMc
9. Everything Claude Code
https://t.co/OAU9JE46Uz
How do architects translate complex requirements to select the right integration pattern? 💭
Join us Feb. 19 for episode two of Think Like an Architect as experts apply the What/How/Why to a real-world integration scenario.
Register today: https://t.co/AHVCvL7I2G