Command output, chat history, skill metadata — the three places your tokens leak, plugged one by one
Deep Skill Finder · live data via DSF search
Three voices who got burned by too many tokens
It's not that you use too much — junk context is what's eating your tokens.
source: rednote · Claude token-saving plugin notes
So many tokens get wasted on filler, long logs and irrelevant context.
source: rednote · round-up of token-saving Skills
I used to keep 130 skills in my global directory… but my everyday flow needs fewer than 10.
source: rednote · trimming a 130-skill setup
These real voices scattered across X, Reddit, rednote, Github — stitched together, this is what saving tokens looks like day to day: git status and test logs pouring raw into the context, conversations that only get longer, and a pile of installed skills quietly eating metadata.
Lazy path · recommended
Install deep-skill-finder once — let your Agent find Skills for you
Whatever token-saving task you have, MEYO already has the matching Skills. You don't need to hunt one by one — install deep-skill-finder and your Agent will auto-search MEYO's 50,000+ Skill library on every task, recommending the best match [pending product verification]. You just say what you want to do — matching Skills is the Agent's job.
Copy → paste into Claude Code / Codex / Cursor / WorkBuddy / CatPaw · Agent installs automatically:
Please install the deep-skill-finder skill: download the archive from https://www.meyo.life/skill-finder, extract it into your local skill directory and enable it.
Or browse common-scene Skills below. Learn more about deep-skill-finder →
meyo.life/skill
3 scenarios × 6 real Skills
Install them all, or just pick 1–2 by name. Don't worry about picking wrong — they're free, uninstall anytime.
Quiet the tool-output noise
Compress git status and test logs before they hit the context
Intelligently compresses command-line output by stripping comments, blank lines and redundancy, cutting token usage by 60-90% while keeping the key information. Pipes straight in.
Auto-detects content type and picks the best compression strategy; the CLI offers light/medium/aggressive levels for conversations, code and logs to reduce token usage.
747 users
Slim long chat histories
Compress dozens of turns into summaries that keep what matters
For anyone who hits the context ceiling mid-conversation
A context-compaction agent that folds old messages into summaries while keeping the key facts, triggered automatically by memory usage — built for long conversations and complex tasks.
Automatically compresses session input tokens and manages context and task memory, shrinking sessions from 100k+ tokens to under 8,000 to cut the cost of every call.
749 users
Load your skill library on demand
Stop letting 100+ skill descriptions live in your context
For power users with a globally-installed skill pile
Detects the current task type, matches the best skill by intent and loads it dynamically, with core/protected/dynamic tiering — plug and play, zero config.
A skill lazy-loading and search pack: search your local skill directory by keyword, then lazy-load only the SKILL.md you need, so the whole library's metadata stops squatting in the context.
773 users
💬 Join the Deep Skill Finder Community
Trade "save tokens" workflows with other Deep Skill Finder users and get install help
FAQ
Q: Where do tokens actually get wasted?
A: Three places account for most of it: raw terminal output and logs flowing into the context, long conversation histories carried around every turn, and the name-and-description metadata of the dozens of skills installed globally. One user removed 120 unused skills and estimated nearly 10,000 tokens saved per call — a million tokens over 100 calls. The three scenarios on this page map to these three leaks.
Q: rtk-compressor vs ctx-compress — which one?
A: rtk-compressor focuses on command-line output, pipes in, and officially cuts tokens by 60-90%. ctx-compress covers more ground — conversations, code and logs — with light/medium/aggressive levels, but compression is irreversible, so back up before you compress.
Q: Can installing too many skills actually cost more tokens?
A: Yes. Tools like Cursor and CodeX load the name and description of every skill in your global directory into the context. Keep 130 skills while using fewer than 10, and every conversation drags along a pile of descriptions you never need. auto-skill-loader and firm-skill-loader-pack both take the load-on-demand approach.
Q: What is deep-skill-finder?
A: A Skill recommender from the MEYO community. Once installed, hand your Agent a task like "save tokens on my workflow" and it searches the library and recommends matching Skills [pending product verification].
Q: Are the Skills free?
A: Yes. Every Skill on this page installs free from the meyo.life community, and you can uninstall anytime.
Q: Which one should a beginner install first?
A: Start with rtk-compressor to compress the command output you run every day — fastest visible win. If your pain is chat history growing out of control, add subagent-context-compactor, and let token-optimizer-off trim the older turns that no longer fit. No need to install everything at once.