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Skill

/classify-stakeholder-salience

Classify stakeholder salience using power, legitimacy, urgency, dependency, or a supplied salience schema.

From plugin
de-anthropocentric-research-engine
499200 skills
Install
$ npx -y skills add yogsoth-ai/de-anthropocentric-research-engine --skill classify-stakeholder-salience --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/classify-stakeholder-salience

Context preview

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

Classify stakeholder salience using power, legitimacy, urgency, dependency, or a supplied salience schema.

SKILL.md

classify-stakeholder-salience.SKILL.md
name: classify-stakeholder-salience
description: "Classify stakeholder salience using power, legitimacy, urgency, dependency, or a supplied salience schema."

classify-stakeholder-salience

Purpose

Classify stakeholder salience using power, legitimacy, urgency, dependency, or a supplied schema.

Input contract

required: [stakeholder_set, salience_schema]
optional: [power_evidence, legitimacy_evidence, urgency_evidence, dependency_evidence]
constraints: [each classification dimension needs an evidence status]

Procedure

1. Normalize stakeholders and their relevant claims or stakes. 2. Score or categorize each stakeholder on the supplied salience dimensions. 3. Record dependency and conflict effects, then produce a prioritized salience map.

Output contract

produces: [salience_map, dimension_scores, dependency_notes, priority_order]
delta_fields: [findings, evidence_updates, uncertainties, decisions]

Quality gates

  • Schema dimensions are explicit; missing evidence is marked unknown rather than treated as zero.

Failure and counterexamples

Do not equate high power with high legitimacy, and do not collapse conflicting dimensions into one unexplained rank.

Provenance map

  • `stakeholder-salience-analysis`: concept (no exact pool entry).
  • `salience-classification`: resolved.
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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