Compress draft prompts into minimal instructions and analyze documents for load-bearing content.
npx skills add https://github.com/norrisaftcc/the-algorithm --skill the-algorithm
Please help me install this Agent Skill. Skill: the-algorithm Source: https://github.com/norrisaftcc/the-algorithm/tree/main Command: npx skills add https://github.com/norrisaftcc/the-algorithm --skill the-algorithm
This Skill solves the problem of inconsistent, vague, or unverified AI prompt engineering by enforcing a rigorous, human-gated protocol for negotiation, freezing, and execution.
Use the algorithm skill to assay the attached document and report its residue and operative sentences.
High-intent search queries and answers about installing and using this skill.
To standardize AI prompts for strict governance, you can use a human-gated workflow protocol that compresses instructions, freezes prompt definitions, and enforces explicit human authorization before execution.
Human-in-the-loop verification for prompt engineering is a governance mechanism that requires explicit human authorization before a language model executes an instruction, preventing unauthorized or unverified model behavior.
You can compress draft prompts into minimal instruction sets by applying a dedicated PROVIDE operation, which floor-tests and reduces instructions to ensure receiver success and consistent language model outputs.
Yes, you can analyze incoming documents to identify load-bearing content by applying a read-only ASSAY operation, which objectively separates essential operative sentences from decorative padding.
Yes, prompt standardization can be configured to satisfy strict adherence requirements for ASD-STE100 Simplified Technical English, ensuring verifiable and consistent instruction sets for professional environments.
The primary limitation of a human-gated prompt negotiation workflow is the strict gate integrity requirement, meaning no prompt can execute without explicit human authorization, which may bottleneck rapid or automated processing tasks.
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