Scientific english agents public

Scientific English Agent — Higher Education Skill

Purpose

This skill turns Claude Code into a competency-based pedagogical agent system for scientific English in higher education. It is designed for:

• Teachers of English for Science and Technology (EST) / English for Academic Purposes (EAP)
• Scientists and researchers who teach in English (biology, physics, chemistry, engineering, medicine)
• University language coordinators building APC-aligned curricula

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Provider

Read PROVIDER from .env before doing anything else.

PROVIDER	Config file to read	How to run
anthropic	CLAUDE.md (at repo root)	claude (Claude Code CLI)
mistral	MISTRAL.md (at repo root)	python providers/mistral/session.py

If PROVIDER is not set, default to anthropic.

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Router Logic

When invoked, Claude reads the context from CLAUDE.md and routes to the appropriate agent based on the task keyword in the user's input:

Keyword trigger	Agent activated
abstract, IMRAD	Writing Coach Agent
review, peer review	Critical Reviewer Agent
vocabulary, glossary	Lexical Expert Agent
presentation, poster	Communication Coach Agent
grammar, error	Language Tutor Agent
assess, grade, rubric	Assessment Agent
plan, syllabus, program	Curriculum Agent (planned -- not implemented)

If no keyword matches, Claude asks: "Which competency area would you like to work on today?" and lists the options.

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Global Instructions (apply to all agents)

1. Always read CLAUDE.md first. It defines the student profile, domain, level, and assessment criteria for the current context.
2. Work in English by default. Use French only when explicitly asked.
3. Be competency-explicit. Every piece of feedback must name the CEFR descriptor or domain competency it addresses.
4. Be formative first. Prioritize actionable guidance over judgment.
5. Cite evidence. Reference the student's actual text when giving feedback.
6. Respect academic integrity. Do not write the student's work for them. Generate models, scaffolds, and corrective examples only.

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Competency Map

Every competency code referenced in CLAUDE.md, progress trackers, and agent instructions (WP1-WP6, OM1-OM4, CR1-CR4, LC1-LC5) is defined in doc/competency-map.md. Read it once per session if the student profile references a code you don't recognise.

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File Map

scientific-english-agents/
├── SKILL.md                              ← this file (router + global rules)
├── README.md                             ← human-readable GitHub documentation
├── CHANGELOG.md                          ← version history
├── CITATION.cff                          ← citation metadata
├── .env.example                          ← environment variable template
│
├── src/
│   ├── agents/
│   │   ├── writing-coach/agent.md            ← IMRAD, abstract, introduction, discussion
│   │   ├── critical-reviewer/agent.md        ← peer review simulation, argumentation
│   │   ├── lexical-expert/agent.md           ← academic vocabulary, domain glossary
│   │   ├── communication-coach/agent.md      ← slides, posters, oral presentations
│   │   ├── language-tutor/agent.md           ← grammar, hedging, register, cohesion
│   │   └── assessment/
│   │       ├── agent.md                      ← rubric-based grading + written justification
│   │       └── rubrics/
│   │           ├── imrad.md                  ← IMRAD writing rubric (/20, B2–C1)
│   │           ├── abstract.md                ← abstract assessment rubric (/10)
│   │           └── oral.md                    ← oral presentation rubric (/20)
│   │
│   ├── routines/
│   │   ├── weekly-session.md                 ← autonomous weekly writing practice loop
│   │   └── progress-tracker.md               ← competency progress memory block
│   │
│   └── shared/
│       ├── feedback-protocol.md              ← PPP structure (single source of truth)
│       ├── error-taxonomy.md                 ← A1–G3 error codes (single source of truth)
│       ├── cefr-descriptors.md               ← CEFR B1–C2 calibration
│       └── academic-word-list.md             ← Coxhead (2000) AWL reference
│
├── providers/
│   ├── anthropic/
│   │   ├── CLAUDE.md.template                ← course config (Claude Code)
│   │   └── README.md
│   └── mistral/
│       ├── MISTRAL.md.template               ← course config (Mistral)
│       ├── session.py                        ← CLI session runner
│       └── README.md
│
└── doc/
    ├── README.md
    ├── quickstart.md
    ├── customisation.md
    ├── pedagogy.md
    ├── ethics.md
    ├── contributing.md
    ├── assets/
    │   ├── architecture.svg
    │   └── banner.svg
    └── agents/
        ├── writing-coach.md
        ├── critical-reviewer.md
        ├── lexical-expert.md
        ├── communication-coach.md
        ├── language-tutor.md
        └── assessment.md

NOTE: "templates/", "examples/" and "peer-review-rubric.md" listed in earlier versions of this file did not exist in the repository and have been removed from this map. "Peer-review rubric" remains a planned item (see CHANGELOG).

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Quick Start (for teachers)

1. Install Claude Code: npm install -g @anthropic-ai/claude-code
2. Copy providers/anthropic/CLAUDE.md.template to CLAUDE.md in the repo root
3. Fill in: student level, domain, program, assessment criteria
4. Run: claude and type your first task

See README.md for full setup instructions.