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Agent skill

Aim

by LilMGenius in LilMGenius/paperthin

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.

MITAuto-check passedDevelopment

Install Aim

skills CLI
$ npx skills add LilMGenius/paperthin --skill aim -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install LilMGenius/paperthin aim --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/LilMGenius/paperthin.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/depth/aim .claude/skills/aim && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
aim
GitHub stars
1.1k
Token cost
~406 tokens
SKILL.md length
227 words
Files
1
Skills in repo
28
Repo updated
First seen
Licence
MIT

At a glance

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.

  • Works in 4 steps: Read every piece of the handed-over data… → State the intent you read, in one line… → State briefly what you would do next on… → …
  • Development work in your project
  • SKILL.md covers Goal, Workflow, Rules and Verification
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Aim is an agent skill from LilMGenius/paperthin. 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.

Its SKILL.md is about 410 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Development. The repository describes itself as: Low-level agentic design patterns. Turning old engineering wisdom into reflexes your agent reaches for on its own—on any agent. The licence is MIT.

When your agent uses it

  • Development work in your project

Example prompts

  • “/aim”

Workflow steps

4 steps, taken from the first numbered list in SKILL.md.

  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.

What it can do on your machine

Read from SKILL.md and the folder at commit 7d5dc62. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Aim loads about 406 tokens when it runs. Until then it costs about 78 tokens; SKILL.md has 227 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~78
When it runs · the whole SKILL.md, loaded when a task matches
~406

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from LilMGenius/paperthin at commit 7d5dc62, republished under its MIT licence (© LilMGenius). 227 words, ~406 tokens.

Download SKILL.mdSave it as .claude/skills/aim/SKILL.md (or your agent's skills folder).
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.

© LilMGenius, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in skills/depth/aim of LilMGenius/paperthin.

Open the folder on GitHubat commit 7d5dc62

Compare with similar skills

Aim next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Aim compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Aim this skillLilMGenius/paperthin1.1k—~406Automated safety check: PassMIT
Vercel Composition Patternssupabase/supabase111k59 repos~726Automated safety check: PassMIT
Finishing a Development Branchobra/superpowers296k5 repos~1.9kAutomated safety check: PassMIT
Typescript Advanced Typesrolling-scopes/rsschool-app10k25 repos~4.2kAutomated safety check: PassMPL-2.0
PR Babysitteropeninterpreter/openinterpreter69k3 repos~4.2kAutomated safety check: PassApache-2.0
Code Review ChecklistshareAI-lab/learn-claude-code78k5 repos~1.1kAutomated safety check: PassMIT

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Categories

Questions about Aim

What does Aim do?

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. Aim is an agent skill from LilMGenius/paperthin. 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.

When should I use Aim?

Aim fits situations like: development work in your project.

How do I install Aim in Claude Code?

Run `npx skills add LilMGenius/paperthin --skill aim -a claude-code`. Or copy the skill folder (skills/depth/aim in LilMGenius/paperthin) into .claude/skills/aim in your project. Claude Code loads it when a task matches its description.

How do I install Aim in Codex?

Run `npx skills add LilMGenius/paperthin --skill aim -a codex`. Or copy the skill folder (skills/depth/aim in LilMGenius/paperthin) into .agents/skills/aim in your project. Codex loads it when a task matches its description.

Can I use Aim in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add LilMGenius/paperthin --skill aim -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/aim, .gemini/skills/aim, .github/skills/aim and .opencode/skills/aim in your project.

What does Aim need to run?

SKILL.md names no scripts, command-line tools or credentials: Aim is instructions for the agent only.

Does Aim access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Aim safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Aim use?

Aim is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Aim use?

About 406 tokens (SKILL.md is roughly 1.6k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Aim?

Skills that share tags, products or a category with Aim: Vercel Composition Patterns (supabase/supabase, 111k stars), Finishing a Development Branch (obra/superpowers, 296k stars), Typescript Advanced Types (rolling-scopes/rsschool-app, 10k stars) and PR Babysitter (openinterpreter/openinterpreter, 69k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Aim?

LilMGenius (a GitHub user) maintains it in LilMGenius/paperthin, which has 1,130 GitHub stars. The repository holds 28 skills in this directory. The repository was last updated on October 1, 2026.

Source: LilMGenius/paperthin on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.