Map candidate research fields or subfields, their maturity, competition, entry barriers, and opportunity structure. Evidence/tool acquisition is host-selected.
Scanned 9/24/2026
npx -y skills add yogsoth-ai/de-anthropocentric-research-engine --skill map-research-landscape --agent claude-codeInstalls into .claude/skills of the current project.
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---
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
```yaml
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
```yaml
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.
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