
from patent-prompts17
Extract core technical concepts and inventive approaches from patent claims to surface the non-obvious technical contributions behind the language.
This skill extracts the core technical concepts and inventive approaches from patent claim text. Rather than restating claims, it identifies the underlying technical contributions that make an invention non-obvious, helping patent professionals, examiners, and researchers quickly grasp the novel concepts. The skill is built to work by loading a prepared prompt template, soliciting required inputs (patent claims), filling placeholders, and executing the prompt to produce structured concept extractions.
Use this skill when reviewing patent claims to identify inventive features, preparing prosecution notes, prior-art searches, or summarizing technical approaches for litigation or licensing. It is helpful when you need concise, technically-focused concept summaries rather than verbose claim restatements.
Designed for instruction-following language agents (Claude, Copilot-like assistants) that can run prompt-based workflows and accept user-provided claim text.
A minimal skill that reads an external prompt template from a relative path outside its directory, fills placeholders, and asks the user for patent claims. No scripts bundled. The SKILL.md is thin — just 6 simple steps with no error handling, output format, or edge case guidance. Relies on an external file (../../prosecution/concept-extraction/prompt.md) that isn't bundled with the skill, making it unlikely to work standalone.
Extremely minimal skill. No security concerns since there are no scripts or network calls. The main issue is architectural — it depends on an external prompt.md file outside its own directory, which breaks the skill's portability. The instructions are vague and the skill essentially just wraps a prompt template.