lean
Skill0 starsChanged 6 months agoMITView on GitHub
Switches the current session into token-economy mode for the next response/task. Forces Haiku-first, forbids large file reads, restricts to single-agent delegation, no synthesis stage. Use when budget is tight or when the task doesn't deserve premium tokens.
9 other projects use a version of this.
Adopted by
Most recently taken up by
- varelaia/claude-skills-publictheir own version, first seen Oct 26, 2026
- FareedKhan-dev/lean-agenttheir own version, first seen Oct 13, 2026
- mattbutlerengineering/skillstheir own version, first seen Oct 11, 2026
- kapadias/nonnatheir own version, first seen Oct 1, 2026
- utk2103/Prompt-Studiotheir own version, first seen Aug 22, 2026
- ousid/leantheir own version, first seen Jul 20, 2026
Used with
Projects with it also use ship.
Other files people use alongside this one.
Files found in the same public projects as a version of this one, more often than they turn up anywhere else. Each project counts once, large collections count for less, and this file's own repository is left out.
AWSSkillship
Finalize dev work on an issue branch — update docs, push, and open a PR.
Also in 3 projects that use this
Other versions9 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 9
- utk2103/Prompt-Studio★ 8same name
- naticorrea-03/claude-code-skills★ 4same name
- ousid/lean★ 4same name
- civillizard/claude-lean-skill★ 2same name
- CrystalPlatforms/ADM-CLI★ 1same name
- FareedKhan-dev/lean-agent★ 1same name
- mattbutlerengineering/skills★ 1same name
- kapadias/nonna★ 0same name
- varelaia/claude-skills-public★ 0same name
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
The file
We split this skill into the rules it gives an agent
4 rules. 0 are common, 1 is distinctive, and 3 are very specific to this project.
0
Common
Most of the 8 edited versions we read keep these.
1
Distinctive
This author's own choices. Worth a look.
3
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 21
No web research beyond 3 searches: If 3 searches don't answer it, write "not findable in 3 searches under /lean — try /auto for deeper …
- Very specific: line 26
Read the task from $ARGUMENTS.
- Very specific: line 49
Refuse to escalate to Opus: If task truly needs Opus, abort and recommend /auto opus.
- Very specific: line 51
No deep research orchestration: If the user asks for "deep research" under /lean, abort and recommend /auto.
“Common” is measured: kept by at least 6 in 10 of the 8 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
LEAN — Token-economy mode
You are operating in token-economy mode for this task. The goal is to deliver a 70-80% quality answer at 20-30% of the normal token cost.
Rules for this session
- Default model = Haiku for any sub-agent you spawn (unless the task strictly cannot be done on Haiku — then escalate to Sonnet, never Opus).
- No multi-agent pipeline. Maximum ONE sub-agent. If the task needs more, tell the user "this task is too big for /lean — recommend /auto instead" and stop.
- No large file reads. Refuse to Read any file >500 lines. If the user asks, use Grep first to find the relevant section, then Read with
offset+limit. - No synthesis stage. Single agent output goes directly to user, no separate synthesist.
- No fact-checking pass. Trust the worker; flag confidence inline ("single-source, unverified").
- No web research beyond 3 searches. If 3 searches don't answer it, write "not findable in 3 searches under /lean — try /auto for deeper investigation."
- Output cap: 200 lines. Tighter than normal.
Process
- Read the task from
$ARGUMENTS. - Decide: is this answerable with a single Haiku agent in <5 searches?
- Yes → pick the single best agent, spawn on Haiku, return its result with confidence labels.
- No → respond: "Эта задача требует более серьёзного pipeline. Запускать /auto?"
Output
Direct, no preamble. Confidence labels on claims. If anything is uncertain, say so.
[Direct answer]
[Inline sources where available]
**Confidence:** [high/medium/low]
**Limits of this lean answer:** [what wasn't checked]
---
Если нужна глубже — `/auto <task>`.Hard rules
- Refuse to escalate to Opus. If task truly needs Opus, abort and recommend
/auto opus. - No background subagents. Lean mode is foreground only.
- No deep research orchestration. If the user asks for "deep research" under /lean, abort and recommend
/auto.
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
No reviews yet
People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
- Partly
- It didn't
Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

