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every Claude Code cheat sheet recycles the same 10 commands. these 15 never make the list Claude Code ships 100+ built-in commands and most of them are about one thing: less babysitting cleaner context → fewer interruptions → reviews that run without you steal the cheat sheet ↓ 01...

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Asteri

3,439 subscribers

11,464 次观看 • 1 天前 •via X (Twitter)

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14 条评论

beamnxw ./ 的头像
beamnxw ./1 天前

these are better >>> 😁

Asteri 的头像
Asteri1 天前

Yes, I am sure of it ;)

Lyren_o 的头像
Lyren_o1 天前

Mastering context management and verification commands is what separates serious agent workflows from chaotic prompt guessing.

Volero.eth 的头像
Volero.eth1 天前

this list actually goes hard

Kursor 的头像
Kursor1 天前

save it after you check /help. half of these depend on your version

Asteri 的头像
Asteri1 天前

i hope you find what you were looking for here

hammertime 的头像
hammertime1 天前

super useful tools, saved all

Marvin 的头像
Marvin1 天前

and these repositories are really interesting bro

Yash Kapoor 的头像
Yash Kapoor1 天前

/fork sounds dangerous, I'd end up with 9 background sessions and forget all of them 🙌

EugBass 的头像
EugBass1 天前

wild repo set

Ali 的头像
Ali1 天前

put /context first. my chats with 2-3 tasks grew to 400-540K tokens and every step cost about 3x, so now it's one task per chat

Kitsui 的头像
Kitsui1 天前

context matters

WuKong Ai Marketing 的头像
WuKong Ai Marketing1 天前

Green build beats a confident summary.

Iron Giant 的头像
Iron Giant1 天前

less babysitting is the whole point

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Share Claude Code sessions with this command 👇 Just shipped v1.26.1 of claude-code-templates because I kept needing to hand off work mid-session. Run: npx claude-code-templates@latest --chats - All your sessions grouped by chat - Download any conversation To share a session: - Share the file, and add it to your project - Then run: claude "read @ chat-file .md and continue" Or if you are in the same account click on "Resume" and you will see the command: claude --resume session_id Built this to keep context flowing across the team without losing momentum.
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Share Claude Code sessions with this command 👇 Just shipped v1.26.1 of claude-code-templates because I kept needing to hand off work mid-session. Run: npx claude-code-templates@latest --chats - All your sessions grouped by chat - Download any conversation To share a session: - Share the file, and add it to your project - Then run: claude "read @ chat-file .md and continue" Or if you are in the same account click on "Resume" and you will see the command: claude --resume session_id Built this to keep context flowing across the team without losing momentum.

Daniel San

10,787 次观看 • 1 年前

New on Claude Code Desktop We’re shipping new features for Claude Code on desktop that let you preview running apps, auto-review code, and auto-fix and merge PRs to help close the development loop. - Server previews: Claude starts dev servers and previews your running app in the desktop interface. It reads console logs, catches errors, and keeps iterating on its own. - Local code review: Claude examines your local diffs and leaves inline comments before you push — an immediate second set of eyes on every change. - PR monitoring: Claude tracks CI status after you open a PR. With auto-fix, it attempts to resolve failures automatically. With auto-merge, PRs land as soon as checks pass. You can move on to your next task while Claude handles the last one. - Session mobility: Move sessions from CLI to desktop, and from desktop to the cloud. Start work at your desk, pick it up from the web or your phone.
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New on Claude Code Desktop We’re shipping new features for Claude Code on desktop that let you preview running apps, auto-review code, and auto-fix and merge PRs to help close the development loop. - Server previews: Claude starts dev servers and previews your running app in the desktop interface. It reads console logs, catches errors, and keeps iterating on its own. - Local code review: Claude examines your local diffs and leaves inline comments before you push — an immediate second set of eyes on every change. - PR monitoring: Claude tracks CI status after you open a PR. With auto-fix, it attempts to resolve failures automatically. With auto-merge, PRs land as soon as checks pass. You can move on to your next task while Claude handles the last one. - Session mobility: Move sessions from CLI to desktop, and from desktop to the cloud. Start work at your desk, pick it up from the web or your phone.

Ado

72,340 次观看 • 8 个月前

Boris Cherny gave Claude Code a memory that has no database, no indexing, no setup, and 80% of Anthropic runs on it a CLAUDE.md "gets automatically read into context at the start of every session" 12:48 - CLAUDE.md loads into memory every session 13:15 - Keep memory short or it burns your context 15:48 - Memory stacks from you to your whole company 17:30 - The memory command shows what Claude remembers 19:33 - Hit pound and Claude remembers it forever the whole memory layer is files → drop a CLAUDE.md in your repo and Claude reads it in on every session → nest more in subfolders and it pulls them only where it works → stack them personal to project to enterprise so one config serves the whole team → hit the pound key mid task and Claude writes the new fact into memory itself the best coding agent's memory was never a database, it was markdown you can open and edit
27:26

Boris Cherny gave Claude Code a memory that has no database, no indexing, no setup, and 80% of Anthropic runs on it a CLAUDE.md "gets automatically read into context at the start of every session" 12:48 - CLAUDE.md loads into memory every session 13:15 - Keep memory short or it burns your context 15:48 - Memory stacks from you to your whole company 17:30 - The memory command shows what Claude remembers 19:33 - Hit pound and Claude remembers it forever the whole memory layer is files → drop a CLAUDE.md in your repo and Claude reads it in on every session → nest more in subfolders and it pulls them only where it works → stack them personal to project to enterprise so one config serves the whole team → hit the pound key mid task and Claude writes the new fact into memory itself the best coding agent's memory was never a database, it was markdown you can open and edit

NO1ennn

13,015 次观看 • 3 个月前

Before you blame Opus 5.5, learn these 15 official Anthropic commands 15 essentials to get more out of Opus 5.5: less busywork → parallel agents → faster iteration steal the cheat sheet ↓ 01 /goal → keep working toward a defined finish line 02 /batch → split big changes across parallel agents 03 /subtask → delegate with the current context 04 /deep-research → get research with sources 05 /design → create editable artboards 06 /plan → review the plan before code changes 07 /memory → manage project instructions 08 /compact → compress context around key decisions 09 /branch → explore a separate conversation branch 10 /rewind → restore a tracked checkpoint 11 /mcp → manage connected tools 12 /loop → repeat checks in a running session 13 /schedule → automate recurring cloud tasks 14 /simplify → clean up code with parallel reviewers 15 /remote-control → continue the local session from your phone start here: /plan → /goal → /simplify save this, then read the full guide for Opus 5.5 Harness Engineering ↓
0:47

Before you blame Opus 5.5, learn these 15 official Anthropic commands 15 essentials to get more out of Opus 5.5: less busywork → parallel agents → faster iteration steal the cheat sheet ↓ 01 /goal → keep working toward a defined finish line 02 /batch → split big changes across parallel agents 03 /subtask → delegate with the current context 04 /deep-research → get research with sources 05 /design → create editable artboards 06 /plan → review the plan before code changes 07 /memory → manage project instructions 08 /compact → compress context around key decisions 09 /branch → explore a separate conversation branch 10 /rewind → restore a tracked checkpoint 11 /mcp → manage connected tools 12 /loop → repeat checks in a running session 13 /schedule → automate recurring cloud tasks 14 /simplify → clean up code with parallel reviewers 15 /remote-control → continue the local session from your phone start here: /plan → /goal → /simplify save this, then read the full guide for Opus 5.5 Harness Engineering ↓

beamnxw ./

133,485 次观看 • 2 天前

Introducing Claude Code Hook - Context Timeline (Saving this to try later) Install with: npx claude-code-templates@latest --hook monitoring/context-timeline Managing the context window and the subagents running in Claude Code is hard to keep track of That's why I built this hook... It starts the moment you open a session and shows a timeline with the main agent's context window and how subagents start working in their own separate context Every subagent you have running will show up in real time This way you can manage the context and the subagents you run, and see everything in a much simpler way than in the console
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Introducing Claude Code Hook - Context Timeline (Saving this to try later) Install with: npx claude-code-templates@latest --hook monitoring/context-timeline Managing the context window and the subagents running in Claude Code is hard to keep track of That's why I built this hook... It starts the moment you open a session and shows a timeline with the main agent's context window and how subagents start working in their own separate context Every subagent you have running will show up in real time This way you can manage the context and the subagents you run, and see everything in a much simpler way than in the console

Daniel San

51,706 次观看 • 6 个月前

Glen is building the organizational learning and context layer for agents. Every agent session your team runs produces reasoning worth keeping, and nearly all of it is discarded the moment the window closes. Glen is the layer that unifies every agent and model your company run. Glen pulls in agent sessions from Claude Code, Codex and Cursor, plus Slack messages, GitHub prs, tickets, docs and calls. When a new agent picks up a task, Glen finds relevant prior context and injects it in the agents context window to steer it, producing knowledge work that is significantly higher quality, faster and cheaper than ever before. 29% less context and 21% faster to be exact. And Glen does more... > query the original agent behind any line of code > search every session your org has ever run > dynamic skill distillation > multiplayer agents > unified transcripts you can hand between Claude Code, Codex, and Cursor mid-task, > a company brain in Slack. Glen is in early access, sign up for the waitlist below.
2:29

Glen is building the organizational learning and context layer for agents. Every agent session your team runs produces reasoning worth keeping, and nearly all of it is discarded the moment the window closes. Glen is the layer that unifies every agent and model your company run. Glen pulls in agent sessions from Claude Code, Codex and Cursor, plus Slack messages, GitHub prs, tickets, docs and calls. When a new agent picks up a task, Glen finds relevant prior context and injects it in the agents context window to steer it, producing knowledge work that is significantly higher quality, faster and cheaper than ever before. 29% less context and 21% faster to be exact. And Glen does more... > query the original agent behind any line of code > search every session your org has ever run > dynamic skill distillation > multiplayer agents > unified transcripts you can hand between Claude Code, Codex, and Cursor mid-task, > a company brain in Slack. Glen is in early access, sign up for the waitlist below.

Nikos

20,626 次观看 • 2 个月前

Quick demo of how I use session to session messaging in Claude Code + Ghostty (Save this and try it in your own workflows) 1- I always start with a regular session and a panel running claude agents 2- The first session becomes the orchestrator. It creates the initial context, then distributes the work across other sessions using forks 3- Each fork starts with that context + a prompt telling it what to work on 4- I rename each session with ctrl + r to keep things organized and make it easy to message them from the main session 5- Using @ I send messages to the sessions that are running and ask them to report their task status back, so the main session always knows what everyone is working on This way, I only need 2 or 3 panels open and can switch between tasks as needed The days of opening endless terminal panels and running Claude Code 100 times just to look productive are over! What we need now is ORCHESTATION one main session coordinating everything through session messaging + Agent View And the key is context, build it in the main session first, then fork from there That’s what makes the entire workflow click
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Quick demo of how I use session to session messaging in Claude Code + Ghostty (Save this and try it in your own workflows) 1- I always start with a regular session and a panel running claude agents 2- The first session becomes the orchestrator. It creates the initial context, then distributes the work across other sessions using forks 3- Each fork starts with that context + a prompt telling it what to work on 4- I rename each session with ctrl + r to keep things organized and make it easy to message them from the main session 5- Using @ I send messages to the sessions that are running and ask them to report their task status back, so the main session always knows what everyone is working on This way, I only need 2 or 3 panels open and can switch between tasks as needed The days of opening endless terminal panels and running Claude Code 100 times just to look productive are over! What we need now is ORCHESTATION one main session coordinating everything through session messaging + Agent View And the key is context, build it in the main session first, then fork from there That’s what makes the entire workflow click

Daniel San

63,748 次观看 • 2 个月前

THIS MIGHT BE THE #1 OPEN-SOURCE REPO FOR CLAUDE CODE RIGHT NOW. IT GIVES CLAUDE A MEMORY AND SLASHES YOUR TOKEN COST ON EVERY QUESTION The repo is safishamsi/graphify, a free open-source skill that turns any codebase into a knowledge graph Claude Code can read instantly. Instead of grepping through your files every session, Claude gets a map of how everything connects The problem it fixes: Every time you ask Claude Code about a big repo, it does the same thing, greps through dozens of files like a brute-force Ctrl+F, blows through your context window, and sometimes still misses the answer hiding in a file nobody searched. Claude Code has no memory of how your project is structured. Every session starts from zero What it does: It maps your entire codebase into a knowledge graph, capturing not just which files exist, but which functions depend on which, which modules are central, and which files cluster around the same concern. Claude queries the map instead of scanning files How it works, three passes: 1. Code structure, free and local. Tree-sitter parses your files and pulls out classes, functions, imports and call graphs. No LLM, no tokens, just your actual code mapped deterministically 2. Audio and video, if you have them. Transcribed locally and folded into the graph 3. Docs, papers, images. Here an LLM does semantic analysis, figuring out what each document means and where it fits. Only the meaning gets sent up, never your raw source It saves you money: Normally a question about a big repo makes Claude spawn explore agents that scan file after file, eating your context window and your token budget before you get an answer. With the graph already built, Claude queries the map instead of re-reading the codebase every time. Same answer, a fraction of the tokens. The graph only gets built once, then a hook rebuilds it after each commit for free, so you never pay that scanning cost again. The bigger the repo, the bigger the gap The best parts: it's a skill, so once installed Claude knows when to use it without you memorizing commands. It works on non-code folders too, point it at docs or notes and it can spin up an Obsidian vault How to add it to your Claude: 1. Install Claude Code if you haven't: npm install -g Paul Jankura-ai/claude-code 2. Add the skill: claude skill add safishamsi/graphify 3. Open your project folder and run /graphify . to build the graph 4. Optional, make it automatic: graphify hook install so the graph rebuilds after every commit That's it. Ask Claude about your repo and it reads the map instead of burning tokens on a file hunt Bookmark this
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THIS MIGHT BE THE #1 OPEN-SOURCE REPO FOR CLAUDE CODE RIGHT NOW. IT GIVES CLAUDE A MEMORY AND SLASHES YOUR TOKEN COST ON EVERY QUESTION The repo is safishamsi/graphify, a free open-source skill that turns any codebase into a knowledge graph Claude Code can read instantly. Instead of grepping through your files every session, Claude gets a map of how everything connects The problem it fixes: Every time you ask Claude Code about a big repo, it does the same thing, greps through dozens of files like a brute-force Ctrl+F, blows through your context window, and sometimes still misses the answer hiding in a file nobody searched. Claude Code has no memory of how your project is structured. Every session starts from zero What it does: It maps your entire codebase into a knowledge graph, capturing not just which files exist, but which functions depend on which, which modules are central, and which files cluster around the same concern. Claude queries the map instead of scanning files How it works, three passes: 1. Code structure, free and local. Tree-sitter parses your files and pulls out classes, functions, imports and call graphs. No LLM, no tokens, just your actual code mapped deterministically 2. Audio and video, if you have them. Transcribed locally and folded into the graph 3. Docs, papers, images. Here an LLM does semantic analysis, figuring out what each document means and where it fits. Only the meaning gets sent up, never your raw source It saves you money: Normally a question about a big repo makes Claude spawn explore agents that scan file after file, eating your context window and your token budget before you get an answer. With the graph already built, Claude queries the map instead of re-reading the codebase every time. Same answer, a fraction of the tokens. The graph only gets built once, then a hook rebuilds it after each commit for free, so you never pay that scanning cost again. The bigger the repo, the bigger the gap The best parts: it's a skill, so once installed Claude knows when to use it without you memorizing commands. It works on non-code folders too, point it at docs or notes and it can spin up an Obsidian vault How to add it to your Claude: 1. Install Claude Code if you haven't: npm install -g Paul Jankura-ai/claude-code 2. Add the skill: claude skill add safishamsi/graphify 3. Open your project folder and run /graphify . to build the graph 4. Optional, make it automatic: graphify hook install so the graph rebuilds after every commit That's it. Ask Claude about your repo and it reads the map instead of burning tokens on a file hunt Bookmark this

Yarchi

56,568 次观看 • 5 个月前

Introducing Cloud sessions with sandboxes in Command Code. · Run Command Code in the cloud on your GitHub repo · Close your computer and the session keeps working · Push changes and open a draft PR when done Try now with $ cmd --cloud Zero babysitting is here!
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Introducing Cloud sessions with sandboxes in Command Code. · Run Command Code in the cloud on your GitHub repo · Close your computer and the session keeps working · Push changes and open a draft PR when done Try now with $ cmd --cloud Zero babysitting is here!

Command Code

11,773 次观看 • 1 个月前

Opus 5.5 makes this AI stack look f…cking illegal 10 GitHub repos for building everything around the model 01 zen-mcp-server ▸ → your agent debates Gemini, GPT and local models mid-task 02 claude-context ▸ → semantic code search so the agent stops grepping blind 03 wshobson/agents ▸ → a roster of subagents, each with one narrow job 04 mcp-agent ▸ → workflow patterns built around MCP tools, not around chat 05 Backlog.md ▸ → tasks live in git, so the agent and you read the same board 06 Claude Code Development Kit ▸ → hooks, subagents and MCP wired for context at scale 07 agent-rules ▸ → shared guardrails the agent inherits in every repo 08 Agent Skills ▸ → one file that teaches the agent a job, portable across tools 09 agent-scan ▸ → scans your agents, MCP servers and skills for what leaks 10 awesome-claude-code-toolkit ▸ → the map: agents, skills, commands, hooks, MCP configs the architecture: rules → context → subagents → tools → state → review → scan I'd split the stack like this: context: claude-context → Development Kit work: wshobson/agents → mcp-agent → zen-mcp-server state: Backlog.md safety: agent-rules → Agent Skills → agent-scan everyone posts the SDK and the CLI the layer that decides whether your agent survives a week is this one the model is one folder in the stack ⭣
0:24

Opus 5.5 makes this AI stack look f…cking illegal 10 GitHub repos for building everything around the model 01 zen-mcp-server ▸ → your agent debates Gemini, GPT and local models mid-task 02 claude-context ▸ → semantic code search so the agent stops grepping blind 03 wshobson/agents ▸ → a roster of subagents, each with one narrow job 04 mcp-agent ▸ → workflow patterns built around MCP tools, not around chat 05 Backlog.md ▸ → tasks live in git, so the agent and you read the same board 06 Claude Code Development Kit ▸ → hooks, subagents and MCP wired for context at scale 07 agent-rules ▸ → shared guardrails the agent inherits in every repo 08 Agent Skills ▸ → one file that teaches the agent a job, portable across tools 09 agent-scan ▸ → scans your agents, MCP servers and skills for what leaks 10 awesome-claude-code-toolkit ▸ → the map: agents, skills, commands, hooks, MCP configs the architecture: rules → context → subagents → tools → state → review → scan I'd split the stack like this: context: claude-context → Development Kit work: wshobson/agents → mcp-agent → zen-mcp-server state: Backlog.md safety: agent-rules → Agent Skills → agent-scan everyone posts the SDK and the CLI the layer that decides whether your agent survives a week is this one the model is one folder in the stack ⭣

rody

18,089 次观看 • 1 个月前

Advent of Claude Day 9 - Claude Code Remote & your prompt ↳ Sends the task to Claude Code on the web (runs in background) claude --teleport session_abc123 ↳ Pulls and resumes the session in your local terminal to continue working Claude at home and on the go.
0:20

Advent of Claude Day 9 - Claude Code Remote & your prompt ↳ Sends the task to Claude Code on the web (runs in background) claude --teleport session_abc123 ↳ Pulls and resumes the session in your local terminal to continue working Claude at home and on the go.

Ado

38,867 次观看 • 11 个月前

Claude Code creator: "100% of our pull requests at Anrtopic are run by Claude Code. 80–90% of code review too. The feature I’m using the most today is /loops. I’m not prompting Claude anymore - I’m building loops" in this interview he breaks down exactly how a system changes everything: - the memory and context features that turn Claude into a second brain - the knowledge architecture most users don't know Claude can build - the integration layer that connects Claude to your actual workflow - why typing one question at a time is the most expensive way to use Claude if you've been using Claude for months and still start every conversation from scratch with zero context, you don't have a Claude problem. you have a system problem instead of another show tonight, watch this make sure to bookmark it before it gets lost in your feed full guide in the article below
50:12

Claude Code creator: "100% of our pull requests at Anrtopic are run by Claude Code. 80–90% of code review too. The feature I’m using the most today is /loops. I’m not prompting Claude anymore - I’m building loops" in this interview he breaks down exactly how a system changes everything: - the memory and context features that turn Claude into a second brain - the knowledge architecture most users don't know Claude can build - the integration layer that connects Claude to your actual workflow - why typing one question at a time is the most expensive way to use Claude if you've been using Claude for months and still start every conversation from scratch with zero context, you don't have a Claude problem. you have a system problem instead of another show tonight, watch this make sure to bookmark it before it gets lost in your feed full guide in the article below

Khairallah AL-Awady

39,381 次观看 • 4 个月前

AI can write more code than any team can review by hand, and a pull request can look fine while hiding a security issue or missing a requirement. In our new short course, AI Code Review, built in collaboration with Qodo and taught by Nnenna, you'll learn the practices that make AI code review effective: review before you open a pull request, give the reviewer full context about your codebase, and triage findings by risk. Then you'll build your own review agent, from a context engine that finds the right code to a team of specialized reviewers. Enroll for free:
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AI can write more code than any team can review by hand, and a pull request can look fine while hiding a security issue or missing a requirement. In our new short course, AI Code Review, built in collaboration with Qodo and taught by Nnenna, you'll learn the practices that make AI code review effective: review before you open a pull request, give the reviewer full context about your codebase, and triage findings by risk. Then you'll build your own review agent, from a context engine that finds the right code to a team of specialized reviewers. Enroll for free:

DeepLearning.AI

56,896 次观看 • 3 个月前

Have you tried forking chat sessions in VS Code? Create a new independent session that keeps the conversation history so you can explore alternative approaches without losing your original context. Watch the video to see how it works.
1:06

Have you tried forking chat sessions in VS Code? Create a new independent session that keeps the conversation history so you can explore alternative approaches without losing your original context. Watch the video to see how it works.

Visual Studio Code

28,488 次观看 • 8 个月前

If you're hitting Claude Code's context limit, check your terminal output before blaming your project size. Every command Claude runs dumps raw output into your context window. git status : 76% of it is noise. A failed cargo test : 155 lines becomes 3. A grep across your codebase : same story You're not running out of context because your code is too big. You're running out because the commands are bleeding you dry before you get anywhere. RTK intercepts that output, compresses it, and hands Claude a clean version instead. 60–90% fewer tokens. Same information. Runs in the background after a one-command setup. Real numbers from 2,900+ commands: average 89% compression across the board. MIT license. Free. 39k GitHub stars. rtk init -g That's it. Restart Claude Code and every command is compressed automatically.
0:29

If you're hitting Claude Code's context limit, check your terminal output before blaming your project size. Every command Claude runs dumps raw output into your context window. git status : 76% of it is noise. A failed cargo test : 155 lines becomes 3. A grep across your codebase : same story You're not running out of context because your code is too big. You're running out because the commands are bleeding you dry before you get anywhere. RTK intercepts that output, compresses it, and hands Claude a clean version instead. 60–90% fewer tokens. Same information. Runs in the background after a one-command setup. Real numbers from 2,900+ commands: average 89% compression across the board. MIT license. Free. 39k GitHub stars. rtk init -g That's it. Restart Claude Code and every command is compressed automatically.

Charlie Hills

16,692 次观看 • 6 个月前

install these before your next long Claude Code session if your Opus 5.5 bill hurts and you don’t know where to start, copy this: claude-code-router: sits in front of Claude Code and sends each request to the cheapest model that can do it. Haiku does the grep, Opus only gets the hard part. 37k stars rtk: shrinks test, build and git output before the model sees it. one binary, up to 90% less bash output in your context. 83k stars claude-mem: remembers what happened in your past sessions and feeds back only the relevant part, so you stop paying to re-explain your project every morning. 100k stars context-mode: a huge tool output goes into a local database instead of your context window, and Claude pulls out only the lines it needs. 18k stars caveman: makes Claude answer in short telegraphic sentences. code stays identical, and output is the expensive side on Opus 5.5 ($20 per million). 51k stars token-optimizer: a local dashboard that shows where your tokens actually went, and keeps your work alive across compactions. 1.9k stars token-savior: replaces whole-file reads with symbol lookups, so Claude reads the function and not the 2,000 lines around it code-review-graph: maps your repo as a graph and gives Claude only the code connected to the change you’re reviewing jev-ultrafast: a browser agent where Jev picks every click, and a text model wakes up only when something has to be typed. 16,758 stars none of them makes Opus smarter. every one stops it from paying for work it never needed to do the full setup with scripts is in the article. do the measuring step first, so you know what you actually saved
0:24

install these before your next long Claude Code session if your Opus 5.5 bill hurts and you don’t know where to start, copy this: claude-code-router: sits in front of Claude Code and sends each request to the cheapest model that can do it. Haiku does the grep, Opus only gets the hard part. 37k stars rtk: shrinks test, build and git output before the model sees it. one binary, up to 90% less bash output in your context. 83k stars claude-mem: remembers what happened in your past sessions and feeds back only the relevant part, so you stop paying to re-explain your project every morning. 100k stars context-mode: a huge tool output goes into a local database instead of your context window, and Claude pulls out only the lines it needs. 18k stars caveman: makes Claude answer in short telegraphic sentences. code stays identical, and output is the expensive side on Opus 5.5 ($20 per million). 51k stars token-optimizer: a local dashboard that shows where your tokens actually went, and keeps your work alive across compactions. 1.9k stars token-savior: replaces whole-file reads with symbol lookups, so Claude reads the function and not the 2,000 lines around it code-review-graph: maps your repo as a graph and gives Claude only the code connected to the change you’re reviewing jev-ultrafast: a browser agent where Jev picks every click, and a text model wakes up only when something has to be typed. 16,758 stars none of them makes Opus smarter. every one stops it from paying for work it never needed to do the full setup with scripts is in the article. do the measuring step first, so you know what you actually saved

rvaniaaa

24,787 次观看 • 27 天前

Claude Code is now multiplayer. Run `/delta share` in Claude Code, and your teammate joins in their own session with your full context and uncommitted work. You're both working on the same thread, backed by DeltaDB.
1:07

Claude Code is now multiplayer. Run `/delta share` in Claude Code, and your teammate joins in their own session with your full context and uncommitted work. You're both working on the same thread, backed by DeltaDB.

Zed

131,598 次观看 • 13 天前

I still don’t understand why people keep building a Claude second brain by hand when these 10 repos already built the whole system They turn your Claude sessions into a wiki, let Claude read and write your vault from your phone, and one of them comes straight from Obsidian’s own CEO 01 llm-wiki → your Claude Code and Codex sessions become a searchable wiki, with an MCP server to query it 02 llm-wiki-claude-skill → one skill file teaches Claude to ingest sources, answer from them, lint the wiki and compile it into clean pages 03 obsidian-skills → Obsidian’s own CEO teaches Claude how Obsidian really works 04 llm-wiki → a Claude Code plugin with init, ingest, compile, query and lint, where every change is committed to git 05 obsidian-dev-second-brain → your tickets, sprints and project docs live in the vault as notes, and Claude keeps them in sync with the code 06 obsidian-mcp-server → 14 tools to read, write, search and surgically edit notes, tags and frontmatter 07 mcpvault → safe vault access with a read-only mode, and Obsidian doesn’t even need to be running 08 obsidian-claude-code-mcp → connect Claude Code to your open vault with one /ide command 09 obsidian-web-mcp → reach your vault from your phone or any MCP client, with OAuth and a Cloudflare Tunnel 10 obsidian-mcp → a git-backed vault with 18 tools, running locally or on AWS Lambda Nobody is going to build your second brain for you, and every chat you close without one is knowledge thrown away. Bookmark this, pick one repo from 01 to 05 and ingest your first source tonight. A month from now you have a wiki, and everyone who skipped it is still opening a blank chat.
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I still don’t understand why people keep building a Claude second brain by hand when these 10 repos already built the whole system They turn your Claude sessions into a wiki, let Claude read and write your vault from your phone, and one of them comes straight from Obsidian’s own CEO 01 llm-wiki → your Claude Code and Codex sessions become a searchable wiki, with an MCP server to query it 02 llm-wiki-claude-skill → one skill file teaches Claude to ingest sources, answer from them, lint the wiki and compile it into clean pages 03 obsidian-skills → Obsidian’s own CEO teaches Claude how Obsidian really works 04 llm-wiki → a Claude Code plugin with init, ingest, compile, query and lint, where every change is committed to git 05 obsidian-dev-second-brain → your tickets, sprints and project docs live in the vault as notes, and Claude keeps them in sync with the code 06 obsidian-mcp-server → 14 tools to read, write, search and surgically edit notes, tags and frontmatter 07 mcpvault → safe vault access with a read-only mode, and Obsidian doesn’t even need to be running 08 obsidian-claude-code-mcp → connect Claude Code to your open vault with one /ide command 09 obsidian-web-mcp → reach your vault from your phone or any MCP client, with OAuth and a Cloudflare Tunnel 10 obsidian-mcp → a git-backed vault with 18 tools, running locally or on AWS Lambda Nobody is going to build your second brain for you, and every chat you close without one is knowledge thrown away. Bookmark this, pick one repo from 01 to 05 and ingest your first source tonight. A month from now you have a wiki, and everyone who skipped it is still opening a blank chat.

Ryven

10,722 次观看 • 6 天前

Tune your UI transitions directly in Cursor CLI, Codex or Claude Code with the Transitions-dev skill built in It scans your project with your agent, suggests transitions improvements, and applies changes directly to source code
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Tune your UI transitions directly in Cursor CLI, Codex or Claude Code with the Transitions-dev skill built in It scans your project with your agent, suggests transitions improvements, and applies changes directly to source code

Jakub Antalik

72,951 次观看 • 4 个月前

A single Claude skill just passed 164,000 stars on GitHub. It's called Ponytail. And it makes your agent code like that senior dev who never writes a line more than needed. The one who looks at your 50 lines and replaces them with one. Version 5 just dropped: → 53% less code → 41% less time → 26% lower cost → 45% fewer tokens And the crazy part: It writes half the code, but doesn't skip the testing. 98% of critical code ships with a test to make sure it works. Without the skill, only 68%. Real example: You ask it to add a date picker. Without the skill → builds one from scratch in 335 lines With Ponytail → uses the browser's built-in one in 10 lines Why it matters to you: If you code with agents, you pay for every line they write. Less code = fewer tokens, fewer bugs and less to maintain. Works with Claude Code, Codex, Cursor, Copilot and 15+ other agents. 164K stars. MIT license. Free. Link below :)
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A single Claude skill just passed 164,000 stars on GitHub. It's called Ponytail. And it makes your agent code like that senior dev who never writes a line more than needed. The one who looks at your 50 lines and replaces them with one. Version 5 just dropped: → 53% less code → 41% less time → 26% lower cost → 45% fewer tokens And the crazy part: It writes half the code, but doesn't skip the testing. 98% of critical code ships with a test to make sure it works. Without the skill, only 68%. Real example: You ask it to add a date picker. Without the skill → builds one from scratch in 335 lines With Ponytail → uses the browser's built-in one in 10 lines Why it matters to you: If you code with agents, you pay for every line they write. Less code = fewer tokens, fewer bugs and less to maintain. Works with Claude Code, Codex, Cursor, Copilot and 15+ other agents. 164K stars. MIT license. Free. Link below :)

Bruce Radley

249,574 次观看 • 24 天前