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Complete toolkit for senior architect with modern tools and best practices.
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Basado en la clasificación ocupacional SOC
Multi-perspective academic paper review with dynamic reviewer personas. Simulates 5 independent reviewers (EIC + 3 peer reviewers + Devil's Advocate) with field-specific expertise. Supports full review, re-review (verification), quick assessment, methodology focus, Socratic guided, and calibration modes. Triggers on: review paper, peer review, manuscript review, referee report, review my paper, critique paper, simulate review, editorial review, calibrate reviewer, reviewer calibration, measure reviewer accuracy.
12-agent academic paper writing pipeline. 10 modes (full/plan/outline/revision/revision-coach/abstract/lit-review/format-convert/citation-check/disclosure). 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, AI disclosure, 寫論文, 學術論文, 引導我寫論文, 審查意見.
Orchestrator for the full academic research pipeline: research -> write -> integrity check -> review -> revise -> re-review -> re-revise -> final integrity check -> finalize. Coordinates deep-research, academic-paper, and academic-paper-reviewer into a seamless 10-stage workflow with mandatory integrity verification, two-stage peer review, and reproducible quality gates. Triggers on: academic pipeline, research to paper, full paper workflow, paper pipeline, end-to-end paper, research-to-publication, complete paper workflow.
Universal deep research agent team. 13-agent pipeline for rigorous academic research on any topic. 7 modes: full research, quick brief, paper review, lit-review, fact-check, Socratic guided research dialogue, and systematic review with optional meta-analysis. Covers research question formulation, Socratic mentoring, methodology design, systematic literature search, source verification, cross-source synthesis, risk of bias assessment, meta-analysis, APA 7.0 report compilation, editorial review, devil's advocate challenges, ethics review, and post-research literature monitoring. Triggers on: research, deep research, literature review, systematic review, meta-analysis, PRISMA, evidence synthesis, fact-check, guide my research, help me think through, 研究, 深度研究, 文獻回顧, 文獻探討, 系統性回顧, 後設分析, 事實查核, 引導我的研究, 幫我釐清, 幫我想想, 我不確定要研究什麼, 研究方向, 研究主題.
Helps an AI assistant work with the Miraheze wiki farm — writing wiki requests that get approved, navigating ManageWiki, doing common how-to tasks (templates, skins, permissions, custom domains, backups), writing regex for MediaWiki search-and-replace, AND writing actual article and page content for Miraheze-hosted wikis. Miraheze does NOT ban generative AI; AI-written content is permitted (subject to per-wiki rules). MADE BY SQERSTERS
Helps an AI assistant write, structure, and edit articles in the encyclopedic style of Wikipedia — neutral tone, lead section, summary style, inline citations, no peacock/weasel/persuasive language, and the stub→FA quality ladder. Also covers Simple English Wikipedia rules. MADE BY SQERSTERS
| name | senior-architect |
| description | Complete toolkit for senior architect with modern tools and best practices. |
| risk | critical |
| source | community |
| date_added | 2026-02-27 |
Complete toolkit for senior architect with modern tools and best practices.
This skill provides three core capabilities through automated scripts:
# Script 1: Architecture Diagram Generator
python scripts/architecture_diagram_generator.py [options]
# Script 2: Project Architect
python scripts/project_architect.py [options]
# Script 3: Dependency Analyzer
python scripts/dependency_analyzer.py [options]
Automated tool for architecture diagram generator tasks.
Features:
Usage:
python scripts/architecture_diagram_generator.py <project-path> [options]
Comprehensive analysis and optimization tool.
Features:
Usage:
python scripts/project_architect.py <target-path> [--verbose]
Advanced tooling for specialized tasks.
Features:
Usage:
python scripts/dependency_analyzer.py [arguments] [options]
Comprehensive guide available in references/architecture_patterns.md:
Complete workflow documentation in references/system_design_workflows.md:
Technical reference guide in references/tech_decision_guide.md:
Languages: TypeScript, JavaScript, Python, Go, Swift, Kotlin Frontend: React, Next.js, React Native, Flutter Backend: Node.js, Express, GraphQL, REST APIs Database: PostgreSQL, Prisma, NeonDB, Supabase DevOps: Docker, Kubernetes, Terraform, GitHub Actions, CircleCI Cloud: AWS, GCP, Azure
# Install dependencies
npm install
# or
pip install -r requirements.txt
# Configure environment
cp .env.example .env
# Use the analyzer script
python scripts/project_architect.py .
# Review recommendations
# Apply fixes
Follow the patterns and practices documented in:
references/architecture_patterns.mdreferences/system_design_workflows.mdreferences/tech_decision_guide.md# Development
npm run dev
npm run build
npm run test
npm run lint
# Analysis
python scripts/project_architect.py .
python scripts/dependency_analyzer.py --analyze
# Deployment
docker build -t app:latest .
docker-compose up -d
kubectl apply -f k8s/
Check the comprehensive troubleshooting section in references/tech_decision_guide.md.
references/architecture_patterns.mdreferences/system_design_workflows.mdreferences/tech_decision_guide.mdscripts/ directoryThis skill is applicable to execute the workflow or actions described in the overview.