/argumentative-zoning
Tactic: Label every sentence of one paper with its rhetorical role using Argumentative Zoning. Use when fixed rhetorical labels and cross-paper alignment matter.
$ npx -y skills add yogsoth-ai/de-anthropocentric-research-engine --skill argumentative-zoning --agent claude-codeHow 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 →
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/argumentative-zoning
Context preview
The summary Claude sees to decide when to auto-load this skill.
Tactic: Label every sentence of one paper with its rhetorical role using Argumentative Zoning. Use when fixed rhetorical labels and cross-paper alignment matter.
SKILL.md
argumentative-zoning.SKILL.mdname: argumentative-zoning description: 'Tactic: Label every sentence of one paper with its rhetorical role using Argumentative Zoning. Use when fixed rhetorical labels and cross-paper alignment matter.' version: 1.0.0 category: paper-reading type: tactic execution: tactic input: 'paper_ref (string), scope (string: "full_text" | "abstract" | "intro_only", default "full_text")' output: '01-unit-segmentation.json and 02-unit-classification.json under context/papers/<dir>/argumentative-zoning/' sops: - paper-fetch - unit-segmentation - unit-classification dependencies: sops: - paper-fetch - unit-segmentation - unit-classification
Argumentative Zoning
Orchestration Pattern
1. Fetch the paper; stop on `not_found`. 2. Segment the requested scope with sentence granularity and preserve `{line, start, end}` offsets. Write `01-unit-segmentation.json`. 3. Classify every unit with `label_set: argumentative-zoning`, `hierarchy_toggle: false`, and `output_type: single_label`. Write `02-unit-classification.json`.
Use exactly AIM, BACKGROUND, OWN, CONTRAST, BASIS, TEXTUAL, and OTHER. Every sentence receives one label; use OTHER rather than skipping an uncertain unit. Narrow scopes are valid but not distributionally comparable to a full-text run.
Report scope, sentence count, zone counts, empty zones, and both paths.
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.
Repo: yogsoth-ai/de-anthropocentric-research-engine
Other skills on de-anthropocentric-research-engine.
- /formated-results
Closing skill for the research-executor, loaded as the last step of formated-specs. Summarize the design just produced into one research-result JSON fenced block in your reply. Do not execute the research.
Open skill - /formated-specs
Spec-slot skill for the research-executor. Emit the 4-layer DARE orchestration of the assigned topic as one research-graph JSON fenced block in your reply. Replaces the generic spec-writing step.
Open skill - /injection-fidelity
Loss-1 judge (codex role). Given one sample's de-identified dialogue and its PolicyCard, decide axis-by-axis whether the user-simulator enacted the card's per-axis pressure. Judge enactment of the card, never whether the research is good.
Open skill - /ladder-quality-order
Loss-2 judge (codex role). Over one topic's 6 shuffled research-design samples, pairwise-rank by quality using the D1–D5 standard. Emit the pairwise log; the harness computes the order and the ladder verdicts. Judge quality difference, never against academic standards.
Open skill - /optimization-loop
The optimizer brain for the ladder-foundry pretraining loop. Runs the two-level nested batch loop, delegates gating to gate_eval, attributes a failing batch to one weight (attribute-first), and recovers from disk after compaction. Control flow is fully scripted; only the
Open skill - /acu-nugget-recall
Tactic: Extract atomic units from one paper and score how much of a caller-supplied summary covers. Use for ACU-style binary or Nugget-style ternary recall checks; cannot run without a target summary.
Open skill