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Agent Skill to Force Docs in ASD-STE100 Simplified Technical English

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Why This Matters

Implementing an agent skill that enforces ASD-STE100 Simplified Technical English in AI-generated documentation significantly enhances clarity and reduces misinterpretation in aerospace communications. This advancement benefits both the tech industry and consumers by promoting safer, more reliable technical content and streamlining documentation processes.

Key Takeaways

✈️ your AI writes like a LinkedIn post. make it write like a Boeing manual.

An agent skill that forces LLMs to write docs in ASD-STE100 Simplified Technical English:

the controlled language aerospace has used since 1983 so a tired mechanic cannot misread an instruction.

AI slop dies as a side effect. 💀

See it · Install · The rules · Not just docs · Receipts · FAQ

Works in every harness that speaks the Agent Skills standard: Claude Code, Cursor, VS Code Copilot, OpenAI Codex, Gemini CLI, Goose, OpenCode, and ~25 more. One folder, no dependencies, MIT.

🔥 Before / after

Left column is real unedited Claude output. Right column is the same model with the skill loaded.

🤖 Without skill ✈️ With skill Leveraging sqlpipe's robust architecture, users can seamlessly synchronize their Postgres tables to S3 with minimal configuration overhead. Before getting started, you should ensure that your AWS credentials have been properly configured — this is crucial for avoiding frustrating permission issues down the line. sqlpipe copies your Postgres tables to S3. It needs one configuration file. Before you start, make sure that your AWS credentials are correct. If they are not, S3 rejects the upload with a permission error. Oops! Something went wrong while attempting to establish a connection. Please ensure your credentials have been properly configured and try again, or reach out to your administrator if the issue persists. Connection to the database failed: the password for user app was not correct. Set DB_PASSWORD to the correct value, then connect again. We have identified an issue that may have impacted some users' ability to access the service. We sincerely apologize for any inconvenience this may have caused. Between 14:02 and 14:31 UTC, 12% of requests failed. A deploy at 14:00 removed the cache warmup step. We reverted it at 14:27.

┌── measured: 6 Claude models × 8 tasks × 2 conditions, 96 runs ──┐ │ STE violations per 100 words ▼ 72.9% (every model won) │ │ output tokens ▼ on all 6 models │ │ mean sentence length 11.2 → 9.7 words │ │ "seamlessly" survived 0 │ └─────────────────────────────────────────────────────────────────┘

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