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Skill

/map-coverage-space

Map a set of methods/assets/evidence items against a typed problem, capability, condition, or design space to expose redundancy and coverage structure.

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de-anthropocentric-research-engine
499200 skills
Install
$ npx -y skills add yogsoth-ai/de-anthropocentric-research-engine --skill map-coverage-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-coverage-space

Context preview

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

Map a set of methods/assets/evidence items against a typed problem, capability, condition, or design space to expose redundancy and coverage structure.

SKILL.md

map-coverage-space.SKILL.md
name: map-coverage-space
description: "Map a set of methods/assets/evidence items against a typed problem, capability, condition, or design space to expose redundancy and coverage structure."

map-coverage-space

Purpose

Map methods, assets, or evidence against a typed problem or capability space to expose redundancy and gaps.

Input contract

required: [item_set, coverage_dimensions, target_space]
optional: [strength_scale, applicability_rules, evidence_links]
constraints: [dimension semantics and coverage states are declared]

Procedure

1. Define cells or regions from the supplied dimensions. 2. Assign each item to supported, partial, or unsupported regions. 3. Merge duplicate coverage and identify uncovered or weakly supported regions. 4. Return the map with evidence and confidence annotations.

If expected and observed coverage are represented on the same space, consider `detect-coverage-gap` as the next tactic.

Output contract

produces: [coverage_map, redundancy_clusters, gap_register, confidence_annotations]
delta_fields: [findings, evidence_updates, uncertainties]

Quality gates

  • Every assignment names its dimensions and evidence.
  • Coverage ratio is computed from a declared universe and numerator/denominator.
  • Weak and missing coverage are distinguished.

Parameterization

Caller supplies item schema, dimension ontology, coverage states, strength scale, and audit numerator/denominator definitions.

Failure and counterexamples

Reject maps with implicit dimensions, unsupported assignments, or ratios lacking a declared universe.

Provenance map

  • concept: creative-ideation/method-problem-crossing
  • concept: knowledge-acquisition/capability-taxonomy-mapping
  • intermediate: Pass3/map-method-problem-space
  • intermediate: Pass3/map-capability-coverage
Read more
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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Python
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Apache-2.0
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8h ago
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Repo: yogsoth-ai/de-anthropocentric-research-engine