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Skill

/generate-candidate-directions

Generate diverse candidate research fields/subfields consistent with current context while permitting deliberate boundary-crossing.

From plugin
de-anthropocentric-research-engine
507200 skills

Claude Code

$ npx -y skills add yogsoth-ai/de-anthropocentric-research-engine --skill generate-candidate-directions --agent claude-code

SKILL.md

generate-candidate-directions.SKILL.md
name: generate-candidate-directions
description: "Generate diverse candidate research fields/subfields consistent with current context while permitting deliberate boundary-crossing."

generate-candidate-directions

Purpose

Generate diverse candidate research fields or subfields consistent with context while permitting deliberate boundary crossing.

Input contract

required: [research_intent, scope_anchor]
optional: [seed_evidence, actor_profile, constraints, neighboring_domains]
constraints: [each candidate must state fit, boundary crossing, and evidence needs]

Procedure

1. Extract the problem mechanism, outcome, and scope anchor. 2. Generate candidates within the anchor and from adjacent domains. 3. Record the transfer or boundary-crossing rationale for each candidate. 4. Remove duplicates while preserving materially different mechanisms.

If candidate fields are diverse enough for comparative characterization, consider `synthesize-field-panorama` as the next tactic.

Output contract

produces: [candidate_directions, fit_rationales, boundary_crossings, evidence_questions]
delta_fields: [findings, hypothesis_updates, uncertainties, open_questions, recommended_jumps]

Quality gates

  • Candidates are distinct by mechanism or evidence opportunity.
  • Speculative candidates are labeled as such.

Failure and counterexamples

Do not equate popularity with fit or generate a list of fields without a boundary rationale.

Provenance map

  • `resolved: generate-candidate-fields`
Read more
@yogsoth-ai
Ships withde-anthropocentric-research-engine

A research skill graph for AI-native science. 271 markdown files. No runtime, no dependencies, no build step.

Stars on GitHub

Momentum

stars in total
507
Star history of yogsoth-ai/de-anthropocentric-research-engine on GitHub, a chart by star-history.com

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Questions about generate-candidate-directions.

Which coding agents can use generate-candidate-directions?
generate-candidate-directions installs in Claude Code, Codex, Cursor, Gemini CLI, GitHub Copilot, OpenCode and Windsurf with the skills CLI, using each agent's flag shown on this page. Flowy's auto-invocation, which fires a skill when your prompt matches, runs in Claude Code only.