research-architect-aud…
Use when reviewing, revising, or deciding whether to complete a Research Architect draft, especially when its reference…
Use when executed research materials, results, observations, analyses, or draft claims need to become a Research Architect evidence bank, claim register, manuscript-wide display sequence, panel-level evidence map, and bounded interpretation trail.
Claude Code
$ npx -y skills add mmTheBest/Research-Architect --skill research-architect-evidence --agent claude-code
Codex
$ npx skills add mmTheBest/Research-Architect --skill research-architect-evidence -a codex -y
Cursor
$ npx skills add mmTheBest/Research-Architect --skill research-architect-evidence -a cursor -y
Gemini CLI
$ npx skills add mmTheBest/Research-Architect --skill research-architect-evidence -a gemini-cli -y
GitHub Copilot
$ npx skills add mmTheBest/Research-Architect --skill research-architect-evidence -a github-copilot -y
OpenCode
$ npx skills add mmTheBest/Research-Architect --skill research-architect-evidence -a opencode -y
Windsurf
$ npx skills add mmTheBest/Research-Architect --skill research-architect-evidence -a windsurf -y
name: research-architect-evidence description: "Use when executed research materials, results, observations, analyses, or draft claims need to become a Research Architect evidence bank, claim register, manuscript-wide display sequence, panel-level evidence map, and bounded interpretation trail."
Organize executed material into claims that remain inside their evidence and inference boundaries.
Read when available:
paper_output/confirmed_research_spine.md paper_output/study_design_brief.md paper_output/analysis_plan.md paper_output/evaluation_plan.md paper_output/study_component_registry.md paper_output/terminology_ledger.md # when present paper_output/exemplar_adaptation_plan.md # when target references exist user-supplied results, sources, analyses, observations, or draft claims
If no verifiable evidence or argumentative material exists, create `paper_output/execution_plan.md` using `../research-architect/templates/execution_plan.md`, identify the next executable actions, and stop before drafting. Do not let a renamed task list substitute for evidence readiness.
Read `../research-architect/references/claim-evidence-framework.md`. When the manuscript has multiple claim-bearing displays, also read `../research-architect/references/display-system-planning.md`. Use the following CSV files only as column contracts; write Markdown artifacts in `paper_output/`:
../research-architect/templates/evidence_bank.csv ../research-architect/templates/claim_register.csv ../research-architect/templates/evidence_display_map.csv
Create:
paper_output/evidence_bank.md paper_output/claim_register.md paper_output/display_system_plan.md # for multi-display manuscripts paper_output/evidence_display_map.md paper_output/claim_strength_calibration.md paper_output/result_interpretation_notes.md
For `guided` depth, produce the evidence bank, claim register, and only the display/interpretation information needed to make a next decision. `standard` and `deep` add the complete display and calibration trail.
Every central claim must resolve to evidence IDs, citation IDs, or an explicit limitation; record exact locators, contradictory/null/negative material, and verification status. Use canonical terms and stable Object IDs from the terminology ledger where names alone are ambiguous.
Before individual figure or panel design, create `paper_output/display_system_plan.md` from `../research-architect/templates/display_system_plan.md` when more than one claim-bearing display is planned. Give each display one dominant reader question, core burden, hero evidence, unique non-overlapping role, destination, source-material or data readiness, and forbidden inference. Then create the panel-level `evidence_display_map.md`, including displayed and inferential units, denominator, comparator purpose, uncertainty/resampling, source-material or data locator, allowed claim, and readiness. A single display may use the same contract in a compact section instead of a separate system plan.
Create `evidence_bank.md.metadata.json` and `claim_register.md.metadata.json` with the contracts in `../research-architect/schemas/v1/`. Use stable Evidence IDs and Claim IDs so run validation can resolve their links.
Before prose drafting, present the evidence/claim trail, display sequence when applicable, limitations, contradictions, unresolved object collisions, and evidence gaps. On a standard/deep run, use `python3 ../research-architect/scripts/first_paper_artifact_check.py paper_output --mode plan` and treat any failed prerequisite as a blocker or intake debt. Obtain explicit user approval that the available evidence is ready for the intended draft scope, then record it with `python3 ../research-architect/scripts/run_state.py gate paper_output evidence_readiness <status>`. Display review belongs inside this gate; do not add another approval gate. If evidence is absent, the run remains at `execution_plan.md` and cannot pass this gate.
Accept supplied results, tables, interview material, documents, or a draft with claims even when upstream design artifacts are missing. Mark the missing design context as an intake debt or provisional limitation, do not invent it, and route structural gaps to design or intake. Do not convert preliminary material into stronger claims merely to complete a table.
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