Claude Code feels completely different once you install this.
Anthropic quietly released an official plugin called claude-code-setup and it basically turns Claude Code from “pretty good” into an actual AI dev environment.
It scans your project and recommends:
→ hooks
→ skills
→ MCP servers
→ subagents
→ automations
Then sets everything up step-by-step for you.
Most people are using Claude Code completely vanilla…
which is why their experience feels messy.
The real power comes from the ecosystem around it.
Install:
/plugin install claude-code-setup@claude-plugins-official
Bookmark this before you forget it.
The Anatomy of a new Claude 'Fable 5' Prompt:
1. Task
Start with why, NOT what.
Claude 5 connects the dots.
'I'm working on [goal] for [who it's for]. They need [what the output enables]. With that in mind: [task].'
2. Context Files
Upload your expertise. Stop explaining in prompts.
"Read these files completely before responding: [filename .md] - [what it contains]."
The file is the brain. This part never changes.
3. Reference
Show Claude 5 what good looks like.
"Reference for what I want to achieve: [paste]."
One example beats ten instructions.
4. Effort
The new change, a few people are talking about.
"This is a [routine / hard / hardest-unsolved] problem. Scope it like it's at the top of your range."
Teams testing Claude 5 on easy tasks undersell it.
Give it your hardest problem.
5. Act
"AskUserQuestion" is still the king.
Add "When you have enough information to act, act. Don't re-litigate my decisions. While weighing a choice, give a recommendation."
6. Scope
Claude 5 over-delivers by default. Control it.
"Do the simplest thing that works well. No extra features, refactors, or abstractions. If I'm describing a problem, the deliverable is your assessment."
The old one did too little. This one does too much.
7. Delegate
One Claude is no longer the limit.
"Split independent subtasks across subagents & keep working while they run. Verify with a fresh-context subagent."
It's not a chatbot anymore. It's a team lead.
8. Evidence
The line that removes fake progress reports.
"Before reporting progress, audit every claim against a tool result. If it's unverified, say so. Tests failed? Show the output."
Anthropic tested this.
It nearly eliminated fabricated status updates.
9. Memory
Claude 5 gets smarter every run. If you let it.
"Record learnings in [notes .md] — one per file. Update, no duplicate. Delete what turns out wrong."
Your prompts expire. Your learning file compounds.
10. Checkpoint
It can run for hours. Decide when it stops.
"Pause only for: destructive actions, scope changes, or input only I can provide. Never end your turn on a promise."
The old fear was Claude stopping too late.
The new fear is stopping too early.
11. Report
The last block. The first thing you read.
"Open with the outcome - the TLDR I'd ask for. Complete sentences. Clear beats short."
It worked for hours. You read for ten seconds.
Copy the full prompt template + download my personal md. files for Claude here:
Step 1. Go to https://t.co/psB7XxB2Y4.
Step 2. Subscribe for free. Don't pay anything.
Step 3. Open my welcome email.
Step 4. Hit the automatic reply button inside.
Step 5. Download my .md files. Ready to upload.
Anthropic posted a FULL GUIDE on how to prompt Fable 5 (Mythos).
Claude Fable 5 is not meant to be prompted like any other model.
It's meant to run autonomously.
Here's exactly how to enable Fable to do work for you with minimal manual intervention:
1. Effort selection
Anthropic recommends using High for most tasks and Xhigh only for complex workflows.
Low/medium: quick questions, basic research
High: default for most work
Xhigh: complex builds, multi-step analysis
Ultracode: full autonomous orchestration
2. /loop prompting
Use /loop prompts to kick Fable off to complete full tasks.
/loop <time interval> + <goal>
3. Tell it WHY, not just what (context)
Fable can't perform on instructions alone. It needs context to make decisions on its own.
Anthropic's exact prompting structure:
"I'm working on [larger task] for [who it's for]. They need [what the output enables]. With that in mind: [your actual request]."
4. Keep prompts short (instructions)
Counterintuitive but critical.
Over-engineering your prompts on Fable 5 degrades output. You're constraining a model that would have figured it out on its own.
4. Tell it when to stop and check in during runs
"Pause for me only when the work genuinely requires my input: a destructive action, a real scope change, or something only I can provide. Otherwise, keep going and report back when done."
5. Build it a memory system
Fable performs best when it can record lessons from its previous loops.
Give it a markdown file and this instruction:
"Store one lesson per file with a one-line summary at the top. Record corrections and confirmed approaches. Don't save what the repo or chat history already records."
The optimal general prompt structure:
"Goal: I'm working on [larger task] for [who it's for]. They need [what the output enables].
Request: [your specific ask in one sentence]
Output format: [exactly how you want it]
Constraints: [what must not happen]."
One last thing - your old prompts may actually work against you.
Skills and project instructions built for Opus 4.8 may produce worse results on Fable.
Bookmark this to actually maximize your Fable workflows.
USE CLAUDE FABLE 5 WITHOUT HITTING LIMITS.
Pro tip for Claude Code users 🧑💻
Set Fable 5 as orchestrator → Let Opus handle heavy reasoning
Save Fable's intelligence for where it matters most ⚡
Work smarter, not harder 🔥
Become a Claude Certified Architect
Here are all the required resource in one place: (save it)
Training courses: https://t.co/kBXCuOrprM (13 free courses)
Cookbook: https://t.co/SLnSUT703t
Exam Guide: https://t.co/A2pbDcy8GC
Practice questions: https://t.co/90eXwUwL8i (free)
MCP documentation: https://t.co/SbwZI0eM61 (free)
API documentation: https://t.co/9rmnLWxRHE (free)
Partner Network: https://t.co/diT5OE5H0b (free to join)
Link to join: https://t.co/OXQyTmf4wD
Personal Playbook someone created after the exam: https://t.co/qhXan3XnBK
Claude Code feels completely different once you install this.
Anthropic quietly released an official plugin called claude-code-setup and it basically turns Claude Code from “pretty good” into an actual AI dev environment.
It scans your project and recommends:
→ hooks
→ skills
→ MCP servers
→ subagents
→ automations
Then sets everything up step-by-step for you.
Most people are using Claude Code completely vanilla…
which is why their experience feels messy.
The real power comes from the ecosystem around it.
Install:
/plugin install claude-code-setup@claude-plugins-official
Bookmark this before you forget it.
Ce japonais a trouvé le vrai levier de Claude Code avant tout le monde.
Il installe "Find Skills", décrit ce qu'il veut faire et le système lui propose les skills parfaits parmi des centaines.
Son système YouTube automatisé cartonne grâce à ça.
🚨 STOP BURNING YOUR TOKENS!
If you use Claude Code, you are probably wasting 80% of your context window.
I found 10 ace tools that will completely rescue your API bill.
1. Caveman Claude
- Literally makes Claude talk like a caveman
- Slashes 75% of output tokens with zero loss in accuracy
Repo → https://t.co/eEvSOvHutG
2. RTK (Rust Token Killer)
- A blazing fast proxy that filters terminal output
- 60-90% reduction and completely dependency-free
Repo → https://t.co/lDfjbsbPD5
3. Code Review Graph
- Claude reads only what matters using a Tree-sitter graph
- An unbelievable 49x token reduction on huge monorepos
Repo → https://t.co/xGn6Pp88yX
4. Context Mode
- Sandboxes raw output into SQLite instead of your context
- A staggering 98% context reduction on logs & GitHub
Repo → https://t.co/Jut2bvBMUD
5. Claude Token Optimizer
- Brilliant setup prompts that optimize any project
- 90% token savings, taking docs from 11K to 1.3K
Repo → https://t.co/0uOFODbG7e
6. Token Optimizer
- Hunts down the invisible ghost tokens eating your context
- Fully restores and protects your context quality
Repo → https://t.co/LUOzjECXKm
7. Token Optimizer MCP
- Adds aggressive caching and compression to your MCP tools
- 95%+ token reduction through pure intelligence
Repo → https://t.co/b5Eqruo2PM
8. Claude Context
- Zilliz’s hybrid vector search MCP
- Makes your entire codebase the context for 40% less cost
Repo → https://t.co/hPG6pb0j3G
9. Claude Token Efficient
- Just drop one CLAUDE.md file into your repo
- Enforces strict terseness with zero code changes
Repo → https://t.co/fNrl6nwItF
10. Token Savior
- Navigates your code by symbols, not giant files
- 97% reduction on code navigation with persistent memory
Repo → https://t.co/lkILPhfwJh
----
[ The god-tier stack ]
Pick 2-3 based on what’s draining you:
> Massive repo? Code Review Graph + Token Savior
> Heavy terminal output? RTK
> MCP data dumps? Context Mode
> Need an instant fix? Caveman + Claude Token Efficient
Most devs are bleeding tokens.
Run `/context` in a fresh session and watch the savings roll in 👀
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 :<)
One of my favorite features in https://t.co/lAxValp45d is Multi Layer.
Use AND to find places that match several conditions at once:
Total crime + house buy effort + good health access.
Use OR to widen the search:
good schools OR strong public transport OR more green space.
It's useful when you're not looking at one metric in isolation, but trying to find places that actually fit how you want to live.
A Korean horror film is breaking viewers’ minds.
The movie Salmokji: The Whispering Water has unexpectedly become a box office hit. It had a strong start: ratings are above 9, and viewers say they haven’t been this scared in a long time.
The main trick is almost brilliantly simple. There are no typical monsters — the fear comes from the water itself. The scariest scenes are when “nothing happens,” but the tension becomes unbearable.
In the story, a film crew travels to a reservoir to investigate a strange figure seen in old footage. From there, everything goes wrong.
After watching it, people reportedly start fearing darkness and water
🚨BREAKING: You can now run Claude Code for FREE.
No API costs. No rate limits. 100% local on your machine.
Here's how to run Claude Code locally (100% free & fully private):
INSTEAD OF WATCHING NETFLIX TONIGHT.
Spend 1 hour building this.
Obsidian + Claude Code = your own personal JARVIS.
A second brain that captures everything, connects every idea, and thinks alongside you using the most powerful AI model available.
Takes 1 hour to set up.
Works while you sleep.
The people who build this tonight will never work the same way again.
The people who skip it will still be taking scattered notes and losing their best ideas next year wondering why they cannot think clearly.
Your call.
BREAKING: Claude can now build your personal finance system better than most $2k advisors.
Here are 7 prompts to go from financial chaos to calm control in under 30 days:
(Save this before it disappears)