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Automation
Skill

/map-patent-white-space

Map protected feature combinations and identify technically meaningful, plausibly unprotected white space.

From plugin
de-anthropocentric-research-engine
499200 skills
Install
$ npx -y skills add yogsoth-ai/de-anthropocentric-research-engine --skill map-patent-white-space --agent claude-code

How it fires

How this skill gets triggered: by you, by Claude, or both.

  • Fires itselfAuto-invocation. Claude auto-loads it when your prompt matches the work.Auto-invocation is when the right skill fires by itself at the right moment, driven by a FLOW.md router and a hook, instead of you invoking it by name. It is the difference between a skill being installed and a skill actually getting used.Read the full definition →
  • You can call itInvoke it directly when you want it.
  • Slash command/map-patent-white-space

Context preview

The summary Claude sees to decide when to auto-load this skill.

Map protected feature combinations and identify technically meaningful, plausibly unprotected white space.

SKILL.md

map-patent-white-space.SKILL.md
name: map-patent-white-space
description: "Map protected feature combinations and identify technically meaningful, plausibly unprotected white space."

map-patent-white-space

Purpose

Map protected feature combinations and identify technically meaningful, plausibly unprotected white space.

Input contract

required: [patent_records, feature_schema, jurisdiction_scope]
optional: [claim_element_maps, family_map, technical_constraints]
constraints: [feature provenance and claim scope must be retained, unprotected means not evidenced as protected within the declared scope]

Execution protocol

Do not perform called SOP operations inline; each loaded SOP owns its contract and thresholds.

1. You MUST load skill `parse-patent-claim` to parse claims into comparable elements. 2. You MUST load skill `trace-patent-family` to align family and jurisdiction evidence. 3. You MUST load skill `detect-coverage-gap` to identify absent, thin, or disconnected feature combinations.

Deviation: If claim records are already normalized, reuse them and skip reparsing. If family evidence is incomplete, label the white-space candidate provisional rather than treating absence as freedom to operate.

Output contract

produces: [feature_cross_matrix, protected_combinations, white_space_candidates, coverage_uncertainties]
delta_fields: [findings, evidence_updates, uncertainties, decisions, open_questions]

Thresholds and quality gates

  • Every candidate cell must cite the records and jurisdictions checked.
  • Coverage is reported as a ratio over the declared feature universe; the denominator and missing cells must be visible.
  • A gap is a candidate for investigation, not a legal conclusion.

Failure and counterexamples

Do not infer unprotected status from an empty search result, a single family, or an unmatched synonym. Preserve alternative feature decompositions when the claim language is ambiguous.

Provenance map

  • `resolved: white-space-analysis`
  • `resolved: knowledge-acquisition-white-space-mapping`
  • `resolved: knowledge-acquisition-claim-decomposition`

Preserved source criteria ledger

| source | source line | kind | source criterion | |---|---:|---|---| | none retained | - | - | No source numeric/textual criterion retained after normalization. |

Context checkpoint / Delta notes

Append feature cells, cited claims, family/jurisdiction coverage, candidate gaps, and unresolved interpretation questions.

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Ships withde-anthropocentric-research-engine

The complete research orchestration system for AI-native science. What It Does Design Philosophy Architecture (v3.2.2) Quick Start Configuration Roadmap License DARE is not a tool that helps you do research. It is the researcher.

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Repo: yogsoth-ai/de-anthropocentric-research-engine