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// Other

asd-ste100-skill

ASD-STE100 Simplified Technical English rules, repurposed as a Claude Code skill for rewriting ambiguous agent-facing English.

// Other[ api ][ claude ]#claude#otherMIT$open-sourceupdated 26 days ago
Actively maintained
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last commit 10 days ago
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// star history

Install with your AI

Paste into Claude Code, Cursor, or any agent — it reads the repo and wires the tool into your project.

Install and set up asd-ste100-skill (claude-skill project) into my current project.
Found on https://claudeers.com/asd-ste100-skill
Repo: https://github.com/danyuchn/asd-ste100-skill
Homepage/docs: —
Detected install method: claude-skill → # copy this skill into .claude/skills/asd-ste100-skill/
Category: other. Platforms: api.
Read the repo's README for exact setup and env vars, then install it and wire it into my project.

Claudeers Health Verdict:
active; community-verified: false. Confirm the source before running anything.
// or install directly (claude-skill)
# copy the skill dir into your project:
# .claude/skills/asd-ste100-skill/   (or ~/.claude/skills/asd-ste100-skill/ for all projects)
// or clone
git clone https://github.com/danyuchn/asd-ste100-skill

// compatibility

Platformsapi
Operating systems
AI compatibilityclaude
LicenseMIT
Pricingopen-source
Language

ASD-STE100 Skill — Simplified Technical English for Agent Output

A Claude Code skill that rewrites dense, ambiguous English into ASD-STE100 Simplified Technical English (STE) — the controlled-language standard the aerospace and defense industry built so aircraft maintenance instructions cannot be misread.

This skill repurposes that same discipline for a different reader: an AI agent parsing another agent's output, a tool description, an error message, or an inter-agent instruction, with no human in the loop to resolve ambiguity.

Why STE, and Why for Agents

STE exists because a misread instruction on an aircraft can kill people, and the intended readers were often not native English speakers with no author to call for clarification. The standard's fix: one meaning per word, active voice, simple tenses, one instruction per sentence, short sentences, no dropped words.

An LLM agent parsing another agent's output is in a strikingly similar position — no back-channel, no way to ask "did you mean X or Y?" The same rules that keep a mechanic from misreading a torque spec keep a downstream agent from misreading a tool description or an inter-agent message.

Before / After

BeforeAfter
"This tool will attempt to synchronize state across the various backends that have been configured, and if a conflict is detected it may resolve it automatically depending on the strategy that has been set, or otherwise it will surface the conflict for manual review.""The tool synchronizes state across the configured backends. If it finds a conflict, it checks the current strategy. If the strategy allows automatic resolution, the tool resolves the conflict. If not, the tool reports the conflict for manual review."
"An error may have occurred while processing your request due to a possible mismatch in the expected data format, which could be caused by an outdated client version.""The request failed. The data format did not match what the server expected. Check your client version — an outdated client is the most common cause."

More examples, including illustrations of the official STE rules themselves, in examples/before-after.md.

What This Skill Does

  1. Reads the input English text for meaning.
  2. Flags every rule violation sentence-by-sentence: ambiguous word choice, present-perfect/complex tense, passive voice with an unclear actor, multi-instruction sentences, oversized noun clusters, dropped words, sentences over length.
  3. Rewrites each flagged sentence — without dropping any fact, condition, or scope qualifier from the original. If a shorter phrasing would lose required precision, it keeps the longer phrasing and flags the trade-off instead of silently simplifying.
  4. Outputs a before/after table plus a short note on anything deliberately left unsimplified.

It does not reproduce ASD's official ~900-word approved dictionary — that is ASD's own free-to-download standard. This skill applies the underlying principle (plainest available word, used the same way every time) rather than checking against a fixed word list. For certified STE-compliant documentation, use the real standard.

Full rule summary and citations: references/writing-rules.md.

Installation

git clone https://github.com/danyuchn/asd-ste100-skill ~/.claude/skills/asd-ste100

Usage

Trigger with a request to simplify or clarify English text:

/simplify this tool description into STE
Rewrite this error message so an agent can't misparse it
Apply ASD-STE100 to this instruction

Or paste text and ask Claude to "simplify this for STE100" / "reduce ambiguity in this output."

Scope

Built for: agent-to-agent messages, tool/function descriptions, error messages, system prompts, inter-agent instructions — any English text a machine or non-native reader has to parse without a human to ask.

Not built for: creative writing, marketing copy, or anything where voice and nuance are the point — STE is deliberately flat and literal by design.

Sources

License

MIT — see LICENSE.

// faq

What is asd-ste100-skill?

ASD-STE100 Simplified Technical English rules, repurposed as a Claude Code skill for rewriting ambiguous agent-facing English.. It is open-source on GitHub.

Is asd-ste100-skill free to use?

asd-ste100-skill is open-source under the MIT license, so it is free to use.

What category does asd-ste100-skill belong to?

asd-ste100-skill is listed under other in the Claudeers registry of Claude-compatible tools.

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