agentleFS
Co4anCo4an/claude-auto/skills/lean/SKILL.md

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.

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Projects with it also use ship.

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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.
  • AWSSkill

    ship

    Finalize dev work on an issue branch — update docs, push, and open a PR.

    Also in 3 projects that use this

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
  1. Distinctive:

    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 …

    line 21
  2. Very specific:

    Read the task from $ARGUMENTS.

    line 26
  3. Very specific:

    Refuse to escalate to Opus: If task truly needs Opus, abort and recommend /auto opus.

    line 49
  4. Very specific:

    No deep research orchestration: If the user asks for "deep research" under /lean, abort and recommend /auto.

    line 51

“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.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
SKILL.md

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

  1. Default model = Haiku for any sub-agent you spawn (unless the task strictly cannot be done on Haiku — then escalate to Sonnet, never Opus).
  2. 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.
  3. 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.
  4. No synthesis stage. Single agent output goes directly to user, no separate synthesist.
  5. No fact-checking pass. Trust the worker; flag confidence inline ("single-source, unverified").
  6. 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."
  7. Output cap: 200 lines. Tighter than normal.

Process

  1. Read the task from $ARGUMENTS.
  2. 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

  1. Refuse to escalate to Opus. If task truly needs Opus, abort and recommend /auto opus.
  2. No background subagents. Lean mode is foreground only.
  3. No deep research orchestration. If the user asks for "deep research" under /lean, abort and recommend /auto.

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