Skip to content
Automation
Skill

/argument-mapping

Campaign for mapping argument structures — extract claims, link evidence,

From plugin
de-anthropocentric-research-engine
393200 skills
Install
$ npx -y skills add yogsoth-ai/de-anthropocentric-research-engine --skill argument-mapping --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/argument-mapping

Context preview

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

Campaign for mapping argument structures — extract claims, link evidence,

SKILL.md

argument-mapping.SKILL.md
name: argument-mapping
description: Campaign for mapping argument structures — extract claims, link evidence,
  assess strength, synthesize positions. Produces argument graphs in the wiki vault.
execution: campaign
dependencies:
  strategies:
  - argument-synthesis
  - claim-extraction
  - evidence-linking-arg
  tactics:
  - knowledge-compilation
  sops:
  - context-checkpoint
  - context-init

Argument Mapping

Map argument structures for research domains. Extracts claims from sources, links supporting and opposing evidence, assesses argument strength, and synthesizes coherent positions from complex debates.

Manifest

| Level | Count | Skills | |-------|-------|--------| | Strategy | 3 | claim-extraction, evidence-linking-arg, argument-synthesis | | Tactic | 2 | claim-decomposition, strength-assessment | | SOP | 6 | claim-page-creation, rebuttal-documentation, evidence-attachment, strength-scoring, argument-visualization, synthesis-report |

Budget Table

| Metric | Small | Medium | Large | |--------|-------|--------|-------| | Claims extracted | 10 | 25 | 50 | | Evidence links created | 15 | 40 | 80 | | Rebuttals documented | 3 | 10 | 20 | | Strength scores assigned | 10 | 25 | 50 | | Synthesis reports | 1 | 3 | 5 |

Strategy Sequence (Reference, Not Prescription)

1. **claim-extraction** — identify and extract claims from source material 2. **evidence-linking-arg** — link evidence to claims (supporting, contradicting, qualifying) 3. **argument-synthesis** — synthesize positions from the argument graph

MCP Tools Used

  • `vault_search` — find existing claims and evidence
  • `vault_add_edge` — create argument edges (supported_by, contradicts, derived_from)
  • `vault_query_graph` — trace argument chains
  • `vault_graph_stats` — assess argument coverage
  • `vault_lint` — validate structural integrity

Context-Management

<HARD-GATE>

  • Call `context-init` at campaign start
  • Call `context-checkpoint` after each strategy completes
  • Call `knowledge-compilation` after each strategy

</HARD-GATE>

Guiding Principles

  • **Claims are atomic.** Each claim page states exactly one proposition. Compound claims must be decomposed.
  • **Evidence is typed.** Every evidence link specifies its relationship: supports, contradicts, qualifies, or is irrelevant.
  • **Strength is earned.** A claim's strength comes from the weight and diversity of its evidence, not from authority or repetition.
  • **Steel-man first.** Before documenting rebuttals, ensure the strongest version of each claim is represented.
  • **Synthesis is not averaging.** The synthesis report identifies which claims survive scrutiny, not a compromise between all positions.

<!-- BEGIN available-tables (generated) -->

Available Strategies

Optional, no fixed order; the final leaf is always a sop.

| Strategy | When to use | | --- | --- | | argument-synthesis | Strategy for synthesizing argument positions — aggregate evidence, resolve contradictions, produce synthesis reports identifying which claims survive scrutiny. | | claim-extraction | Strategy for extracting claims from source material — identify propositions, decompose compound claims, classify claim types, create claim pages in the vault. | | evidence-linking-arg | Strategy for linking evidence to claims — find supporting/contradicting evidence, create typed edges, assess evidence quality, identify gaps in evidential coverage. |

Available Tactics

Optional, no fixed order; the final leaf is always a sop.

| Tactic | When to use | | --- | --- | | knowledge-compilation | Tactic for compiling research findings into vault pages — orchestrates page creation, updates, edge linking, and index maintenance. Minimum yield ≥3 page operations per invocation. |

Available SOPs

Optional, no fixed order; the final leaf is always a sop.

| SOP | When to use | | --- | --- | | context-checkpoint | Append research process and results to the current Phase's context file. Covers both process and results with genuine substance. Use this skill at plan-designated checkpoint points — typically after each strategy completes or at key decision nodes within a research Phase. | | context-init | Create a new context file for a research Phase. Called once at Phase start to initialize the file that subsequent context-checkpoint calls will append to. Use this skill whenever a new research Phase begins and a fresh context file is needed. |

<!-- END available-tables (generated) -->

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.

Get the whole plugin
Stats
393
Stars
34
Forks
Active
Maintenance
HTML
Language
Apache-2.0
License
19h ago
Last commit
6mo ago
Created

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