Skip to content
AI & Agents
Skill

/aim

When data lands with a thin ask — files, a repo, a paste, a chat scrollback — read it and propose what the user is trying to do with it, as a proposal to confirm rather than a question to answer. Use the moment material arrives without a fully-formed ask, or when the ask reads

BOOST
From plugin
paperthin
1.1k28 skills
Install
$ npx -y skills add LilMGenius/paperthin --skill aim --agent claude-code

How it fires

How this skill gets triggered: by you, by Claude, or both.

  • Fires itselfAuto-invocation. Claude auto-loads it when your prompt matches the work.Auto-invocation is when the right skill fires by itself at the right moment, driven by a FLOW.md router and a hook, instead of you invoking it by name. It is the difference between a skill being installed and a skill actually getting used.Read the full definition →
  • You can call itInvoke it directly when you want it.
  • Slash command/aim

Context preview

The summary Claude sees to decide when to auto-load this skill.

When data lands with a thin ask — files, a repo, a paste, a chat scrollback — read it and propose what the user is trying to do with it, as a proposal to confirm rather than a question to answer. Use the moment material arrives without a fully-formed ask, or when the ask reads

SKILL.md

aim.SKILL.md
name: aim
description: "When data lands with a thin ask — files, a repo, a paste, a chat scrollback — read it and propose what the user is trying to do with it, as a proposal to confirm rather than a question to answer. Use the moment material arrives without a fully-formed ask, or when the ask reads thinner than the data suggests."

Read the data and propose the intent behind it, for the user to confirm.

Goal

The result is a proposal the user only confirms, revises, or rejects — never a question. Asking makes the user compose a sentence they did not have ready; proposing lets them answer with a yes. If the turn ends with them writing that sentence anyway, the skill missed.

Workflow

1. Read every piece of the handed-over data end to end before proposing anything. 2. State the intent you read, in one line grounded in what the data actually shows. 3. State briefly what you would do next on that intent. 4. Ask only to confirm — right, wrong, or adjust.

Rules

  • Read before proposing. A proposal without reading is a guess.
  • Ground it in the data. Point at what you read, not what you assumed.
  • One intent per turn. If two are plausible, propose the likelier and name the other in a clause.
  • Confirm, don't compose. If the turn ends with the user assembling a sentence, redo the proposal.
  • If the data is too thin to propose from, say so and stop. Do not fall back to asking.

Verification

The user's next reply is short — a yes, a correction, or a small adjustment. If they had to explain what they wanted from scratch, the proposal was wrong, or was really a question in disguise.

Read more
Ships withpaperthin

Turning old engineering wisdom into reflexes your agent reaches for on its own. On any agent | Claude Code, Codex, OpenCode, Antigravity, Copilot, Cursor, Grok-Build, Pi, Hermes, OpenClaw, etc.

Get the whole plugin
Stats
1,130
Stars
113
Forks
Active
Maintenance
JavaScript
Language
MIT
License
7d ago
Last commit
3mo ago
Created
16h ago
Added

Repo: LilMGenius/paperthin

Other skills on paperthin.