exekiel179/psyclaw/academic-paper

Claude Code and agent skill by exekiel179/psyclaw

Trust tier 3
  • community
Source check pending

Checking that the SKILL.md file is still in the repository.

12-agent academic paper writing pipeline. 11 modes (full/plan/outline/revision/revision-coach/abstract/lit-review/format-convert/citation-check/disclosure/rebuttal-audit). 6 paper types, 5 citation formats, bilingual abstracts, LaTeX/DOCX-via-Pandoc/PDF output. Style Calibration + Writing Quality Check + Anti-Patterns with IRON RULE markers. Triggers: write paper, academic paper, guide my paper, parse reviews, audit my rebuttal, check my response draft, AI disclosure, 寫論文, 學術論文, 引導我寫論文, 審查意見, 評估回覆, 논문 작성, 초록 작성, 논문 수정, 논문 계획을 도와줘, 심사 의견 반영, 답변서 점검, AI 사용 고지.

Install

npx vskill@latest install exekiel179/psyclaw/academic-paper

SKILL.md

Academic Paper — Academic Paper Writing Agent Team

A general-purpose academic paper writing tool — 12-agent pipeline covering all disciplines, with higher education domain as the default reference.

v2.5 adds two writing quality features:

  • Style Calibration (intake Step 10, optional) — Provide 3+ past papers and the pipeline learns your writing voice (sentence rhythm, vocabulary preferences, citation integration style). Applied as a soft guide during drafting; discipline conventions always take priority. See shared/style_calibration_protocol.md.
  • Writing Quality Check (references/writing_quality_check.md) — A writing quality checklist applied during the draft self-review step. Catches overused AI-typical terms, em dash overuse, throat-clearing openers, uniform paragraph lengths, and monotonous sentence rhythm. These are good writing rules, not detection evasion.
Routing discipline (v3.9.2): see .claude/CLAUDE.md "Routing Discipline (v3.9.2)" + shared/references/intent_clarification_protocol.md for cross-skill routing rules. This skill assumes routing has already settled — ambiguous cross-phase materials should have been clarified upstream.

Quick Start

Minimal command:

Write a paper on the impact of AI on higher education quality assurance
Write a paper on the impact of declining birth rates on private university management strategies

Execution flow:

  1. Configuration interview — paper type, discipline, citation format, output format
  2. Literature search — systematic search strategy, source screening
  3. Architecture design — paper structure, outline, word count allocation
  4. Argumentation construction — claim-evidence chains, logical flow
  5. Full-text drafting — section-by-section draft, register adjustment
  6. Citation compliance + bilingual abstract (parallel)
  7. Peer review — five-perspective categorical assessment, revision suggestions
  8. Output formatting — LaTeX/DOCX (via Pandoc)/PDF/Markdown

Trigger Conditions

Trigger Keywords

English: write paper, academic paper, paper outline, write abstract, revise paper, literature review paper, check citations, convert to LaTeX, convert format, format paper, conference paper, journal article, thesis chapter, research paper, guide my paper, help me plan my paper, step by step paper, draft manuscript, write methodology, write discussion, parse reviews, revision roadmap, help me with my revision, I got reviewer comments, convert citations

繁體中文: 寫論文, 學術論文, 論文大綱, 寫摘要, 修改論文, 文獻回顧論文, 檢查引用, 轉 LaTeX, 轉換格式, 研討會論文, 期刊文章, 學位論文, 研究論文, 引導我寫論文, 幫我規劃論文, 逐步寫論文, 寫方法論, 寫討論, 審查意見, 修訂路線圖, 幫我修改, 我收到審查意見, 轉換引用格式

한국어: 논문 작성, 논문 초안, 논문 개요, 초록 작성, 논문 수정, 인용 확인, 인용 형식 검사, LaTeX 변환, 서식 변환, 학위논문 작성, 학술지 논문 작성, 학회 논문 작성, 논문 계획을 도와줘, 단계별로 논문 쓰기, 심사 의견을 받았어, 심사 의견 반영, 답변서 점검, AI 사용 고지

Plan Mode Activation

Activate plan mode when the user wants guidance, step-by-step planning, or expresses uncertainty about paper structure. Default rule: when ambiguous between plan and full, prefer plan.

See references/plan_mode_protocol.md for full intent signals and activation rules.
Does NOT Trigger
ScenarioUse Instead
Deep research / fact-checking (not paper writing)deep-research
Reviewing a paper (structured review)academic-paper-reviewer
Full research-to-paper pipelineacademic-pipeline
Distinction from deep-research
Featureacademic-paperdeep-research
Primary outputPublishable paper draftResearch report
StructureJournal-ready (IMRaD, etc.)APA 7.0 report
CitationMulti-format (APA/Chicago/MLA/IEEE/Vancouver)APA 7.0 only
AbstractBilingual (zh-TW + EN)Single language
Peer reviewSimulated 5-dimension reviewEditorial review
Output formatLaTeX/DOCX (via Pandoc)/PDF/MarkdownMarkdown only
Revision loopMax 2 rounds with targeted feedbackMax 2 rounds

Agent Team (12 Agents)

#AgentRolePhase
1intake_agentConfiguration interview: paper type, discipline, journal, citation format, output format, language, word count; Handoff detection; Plan mode simplified interviewPhase 0
2literature_strategist_agentSearch strategy design, source screening, annotated bibliography, literature matrixPhase 1
3structure_architect_agentPaper structure selection, detailed outline, word count allocation, evidence mappingPhase 2
4argument_builder_agentArgument construction, claim-evidence chains, logical flow, counter-argument handling; Plan mode argument stress testPhase 3 / Plan Step 3
5draft_writer_agentSection-by-section full draft writing, discipline register adjustment, word count trackingPhase 4
6citation_compliance_agentCitation format verification, reference list completeness, DOI checkingPhase 5a
7abstract_bilingual_agentBilingual abstract (zh-TW + EN), 5-7 keywords eachPhase 5b
8peer_reviewer_agentSimulated double-blind review, five-perspective categorical assessment, revision suggestions (max 2 rounds)Phase 6
9formatter_agentConvert to LaTeX/DOCX (via Pandoc)/PDF/Markdown, journal formatting, cover letter, citation format conversion (APA 7 / Chicago / MLA / IEEE / Vancouver)Phase 7
10socratic_mentor_agentPlan mode Socratic mentor: chapter-by-chapter guidance, convergence criteria (4 signals), question taxonomy (4 types), INSIGHT extractionPlan Step 0-3
11visualization_agentParse paper data and generate publication-quality figure code (Python matplotlib / R ggplot2) with APA 7.0 formatting, colorblind-safe palettes, and LaTeX integrationPhase 4 / Phase 7
12revision_coach_agentParse unstructured reviewer comments into a Revision Roadmap, or explicitly identified real-committee comments into the separate #668 source-accounted concern tracker; works standaloneRevision-Coach mode

Output Formats

Text Formats

LaTeX (.tex + .bib), DOCX (via Pandoc), PDF (via LaTeX or Pandoc), Markdown.

Figures

When the paper contains quantitative results, the visualization_agent can generate publication-ready figures in Python (matplotlib/seaborn) or R (ggplot2) with APA 7.0 formatting and colorblind-safe palettes. Figures are delivered as runnable code + LaTeX \includegraphics integration code. See references/statistical_visualization_standards.md for chart type decision trees and code templates.

Citation Formats

APA 7.0 (default), Chicago (Author-Date or Notes-Bibliography), MLA 9, IEEE, Vancouver. The formatter_agent supports late-stage citation format conversion between any two supported formats via "Convert citations to [format]".


Orchestration Workflow (8 Phases)

Phase 0: CONFIG -> [intake_agent] -> Paper Configuration Record
Phase 1: RESEARCH -> [literature_strategist] -> Search Strategy + Source Corpus
Phase 2: ARCHITECTURE -> [structure_architect] -> Paper Outline + Evidence Map
Phase 3: ARGUMENTATION -> [argument_builder] -> Argument Blueprint
Phase 4: DRAFTING -> [draft_writer] -> Complete Draft
Phase 5a: CITATIONS -> [citation_compliance] ──┐ -> Citation Audit Report
Phase 5b: ABSTRACT -> [abstract_bilingual] ─┘ -> Bilingual Abstract + Keywords (parallel)
Phase 6: PEER REVIEW -> [peer_reviewer] -> Review Report (max 2 revision loops)
Phase 7: FORMAT -> [formatter] -> Final Output Package
See references/workflow_phase_details.md for detailed per-phase agent behavior and output descriptions.
Review-target criteria binding (#684)

When Phase 0 has produced an author-confirmed ReviewTargetContext (#683), the orchestrator initializes one pointer-only ReviewCriteriaBindingManifest and uses it unchanged across the formative, internal-evaluator, and external-panel consumers. The normative lifecycle, exact marker, closed roles, and explicit degraded path are defined in shared/references/review_criteria_consumer_protocol.md.

  • Phase 2 owns the FORMATIVE receipt. The Structure Architect maps selected

criterion ids to planned sections and evidence needs; later writing phases reuse that receipt and do not re-resolve the target.

  • Phase 6a receives the same pointer authority and Target Criteria Brief while

remaining paper-blind; its pre-commitment artifact owns the INTERNAL receipt. Phase 6b receives that unchanged artifact, may assess applicability after it sees the draft, and owns any Critical/Major constructive finding sidecar.

  • Scientific validity, venue fit, and submission readiness remain distinct.

Criteria never authorize invented evidence, results, methods, or changes to the author's contribution claim.

Binding validation is a handoff-conformance check only. It never supplies an editorial verdict, severity, checkpoint state, or author triage. If the binding is unavailable, disclose criteria_binding_unavailable; do not claim venue alignment and do not silently reconstruct a target from model memory.

Checkpoint Rules
  1. ⚠️ IRON RULE: User must confirm Paper Configuration Record before proceeding to Phase 1
  2. Phase 2 -> 3: User must approve outline (can request restructuring)
  3. ⚠️ IRON RULE: Max 2 revision loops; unresolved items -> "Acknowledged Limitations"
  4. Peer Review Critical-severity issues block progression to Phase 7
  5. User can skip Phase 1 (literature) if providing own sources

v3.4.0 compliance (applies to `full` mode): Before finalization, compliance_agent runs RAISE principles-only check (warn-only; primary research is outside PRISMA-trAIce scope). Warnings are listed in the disclosure statement but never block the pipeline. See shared/raise_framework.md §Scope disclaimer.

Phase-by-phase Invocation Contract (v3.9.2)

academic-paper pipeline runs in 8 phases (Phase 0 intake → 7 formatting). Two invocation modes:

Mode A — orchestrator-driven (default): pipeline_orchestrator_agent (in academic-pipeline skill) runs all phases end-to-end with state tracking via Material Passport.

Mode B — phase-by-phase (cross-session resume): User invokes one agent per phase across sessions for long-running projects. Common pattern: write the draft in one session, return next week to citation-check / abstract / peer-review independently.

In Mode B, single-phase agents (Bucket A per `docs/design/2026-05-18-ars-v3.9.2-agent-phase-classification.md`) stay strictly within their assigned phase for writes. The 7 Bucket A agents in academic-paper are: literature_strategist (P1), structure_architect (P2), draft_writer (P4/P6 per invocation), citation_compliance (P5a), abstract_bilingual (P5b), peer_reviewer (P6), formatter (P7). Reads from upstream phases are allowed.

Multi-phase agents (Bucket B: argument_builder P3+Plan, visualization P4+P7) do exactly the work specified by the caller's invocation for that phase — no extension to other phases in the same call. The v3.6.6 generator-evaluator contract below additionally constrains draft_writer and peer_reviewer sub-phase behavior (Phase 4a/4b, Phase 6a/6b).

Routing into Mode B requires explicit user signal — /ars-<mode> slash command or [direct-mode] prefix. Ambiguous cross-phase input defaults to clarification per .claude/CLAUDE.md Routing Discipline + shared/references/intent_clarification_protocol.md.

Enforcement (v3.9.2): Phase Boundary blocks on Bucket A agents + advisory verifier (scripts/check_pipeline_integrity.py) + a deterministic PreToolUse write-scope guard in hook-enabled runtimes (#134 rescope, PR #294). Multi-phase envelope remains forward-scope (#134 Slices 3-5).

v3.6.6 Generator-Evaluator Contract Protocol

This is the start of the file. Read the full SKILL.md on GitHub.

Security

  • Security scanPassed, 95 of 100Pattern checks on the skill's files.
  • Model reviewPassed

Quality evaluation

  • Task evaluationNot runNo evaluation yet. Run one in Skill Studio.

Source

Popularity

7-day trend score
5

Not refreshed yet.

Works with

Any agent vskill installs to: 56 targets in all. These 39 have a page on this site.

  • Claude Code
  • Cursor
  • GitHub Copilot
  • Windsurf
  • Codex
  • Gemini CLI
  • Cline
  • Amp
  • Roo Code
  • Goose
  • Continue
  • Kilo Code
  • Junie
  • Trae
  • OpenHands
  • Qwen Code
  • AI Agent
  • Tabnine Chat
  • Sourcegraph Cody
  • Amazon Q
  • Firebase Genkit
  • Sweep
  • Devin
  • Phind
  • Mentat
  • Claude Desktop
  • Aider
  • GPT Pilot
  • Plandex
  • bolt.new
  • v0
  • Replit Agent
  • Anse
  • TypingMind
  • BetterChatGPT
  • LibreChat
  • Warp AI
  • Pieces
  • Fig AI
Embed badge
vskill VERIFIED badge
[![vskill VERIFIED](https://verified-skill.com/api/v1/skills/exekiel179/psyclaw/academic-paper/badge)](https://verified-skill.com/skills/exekiel179/psyclaw/academic-paper)

Something wrong with this skill or its page? Tell us.