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/map-research-landscape

Map candidate research fields or subfields, their maturity, competition, entry barriers, and opportunity structure. Evidence/tool acquisition is host-selected.

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

Context preview

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

Map candidate research fields or subfields, their maturity, competition, entry barriers, and opportunity structure. Evidence/tool acquisition is host-selected.

SKILL.md

map-research-landscape.SKILL.md
name: map-research-landscape
description: "Map candidate research fields or subfields, their maturity, competition, entry barriers, and opportunity structure. Evidence/tool acquisition is host-selected."

map-research-landscape

Purpose

Map candidate research fields or subfields, maturity, competition, entry barriers, tractability, and opportunity structure.

Input contract

required: [research_intent, scope_anchor]
optional: [actor_profile, seed_evidence, constraints]
constraints: [candidate fields require evidence references and declared comparison dimensions]

Execution protocol

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

1. You MUST load skill `generate-candidate-directions` to generate diverse candidate fields and deliberate boundary crossings. 2. You MUST load skill `synthesize-field-panorama` to synthesize maturity, competition, entry-barrier, tractability, and opportunity evidence. If the resulting fields must be ordered, screened, or selected under explicit criteria, consider `rank-candidates` as the next tactic.

Deviation: Evidence acquisition is host-selected; do not invoke removed tool wrappers. Re-run candidate generation only when intent or scope changes materially.

Output contract

produces: [candidate_field_set, field_panorama, maturity_map, competition_map, opportunity_structure]
delta_fields: [findings, evidence_updates, uncertainties, decisions, open_questions]

Thresholds and quality gates

  • Each candidate must have evidence for the declared dimensions or an explicit missing marker.
  • The panorama must include at least one direct opportunity and one barrier per candidate.
  • Acquisition sufficiency is relative to the declared eligible evidence universe; saturation is assessed by marginal information gain rather than a fixed source count.

Failure and counterexamples

Reject niche lists with no evidence, maturity claims based on publication volume alone, and opportunity claims that omit competition or entry barriers.

Provenance map

  • `resolved: landscape-reconnaissance`
  • `resolved: north-star-crystallization-generate-candidate-fields`
  • `resolved: north-star-crystallization-landscape-synthesis`
  • `resolved: broad-web-search`
  • `resolved: broad-paper-search`
  • `resolved: north-star-crystallization-deep-web-search`

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 candidate fields, evidence references, dimension assessments, boundary-crossing rationale, and unresolved acquisition questions.

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