AI-powered adeno-associated virus (AAV) vector design for gene therapy including capsid engineering, promoter selection, and tropism optimization.
The English summary is being prepared. Showing the original description.
Microsoft docs lookup, code samples, and SDK reference for Azure, .NET, Microsoft 365, Windows, and Power Platform via Microsoft Learn MCP. Use for API reference or official MS documentation retrieval.
The English summary is being prepared. Showing the original description.
Review the instructions the agent will receive before you install.
Optimized for current Microsoft Graph, Entra ID, PowerShell 7.x, and Microsoft 365 integration workflows.
Use this skill when the answer should come from Microsoft documentation rather than memory or third-party summaries.
Microsoft's Learn Docs MCP server is publicly documented and currently exposes these core tools:
microsoft_docs_searchmicrosoft_docs_fetchmicrosoft_docs_extract_code_examplesmicrosoft_docs_search_by_productMicrosoft's getting-started docs also describe installation through npx -y @microsoft/learn-docs-mcp.
Use symptom -> action triggers: when one matches, apply this skill and verify with the protocol below.
microsoft_docs_search.microsoft_docs_search_by_product when results are broad.microsoft_docs_fetch for details.microsoft_docs_extract_code_examples if the user needs working snippets."Azure Container Apps scale rules""BlobClient UploadAsync Azure.Storage.Blobs"product="power-bi" query="row level security dax"product="microsoft-graph" query="send mail application permissions"Before claiming "skill applied successfully":
# Before
az deployment group create `
--resource-group app-rg `
--template-file main.bicep
# After
$deploymentName = "api-$(Get-Date -Format yyyyMMddHHmmss)"
az deployment group create `
--name $deploymentName `
--resource-group app-rg `
--template-file main.bicep `
--parameters environment=prod `
--what-if
Moves from an opaque deployment command to a traceable and reviewable workflow with named deployments, explicit parameters, and a preflight diff.
This skill is written to stay usable across GitHub Copilot, Claude Code, and Codex.
$CODEX_HOME/skills/microsoft-development and restart Codex after major changes.Preferred MCP Server: Microsoft Learn Docs MCP
SKILL.md, bundled references or scripts, and manual verification. Show the exact commands, evidence, and final checks you used before concluding."dotnet, az, PowerShell, etc.) before shipping them.No reviews yet. Tell others what you thought.
No login needed. Share how it worked for you, ask a question, or note where it did not run.
No comments yet. Be the first to write one.
AI-powered adeno-associated virus (AAV) vector design for gene therapy including capsid engineering, promoter selection, and tropism optimization.
The English summary is being prepared. Showing the original description.
Improve the clarity and voice of AI-assisted academic writing (papers, theses, rebuttals) and
The English summary is being prepared. Showing the original description.
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.
The English summary is being prepared. Showing the original description.
Systematic writing framework for philosophy and interdisciplinary academic papers from optimized outline to submission-ready manuscript. Use when users want to: (1) write a paper from a detailed outline, (2) ensure quality control during writing, (3) maintain consistency across chapters, (4) prepare a submission-ready manuscript, or (5) systematically execute a planned paper. Triggered by phrases like 'write the paper from this outline,' 'compose the full manuscript,' 'execute the outline,' or when users have completed strategic planning (academic-paper-strategist skill) and are ready to write. Takes optimized outline as input; outputs complete manuscript with iterative quality checks.
The English summary is being prepared. Showing the original description.
Multi-perspective academic paper review with dynamic reviewer personas. Runs a 5-seat, role-separated review panel (Journal-Fit Reviewer + 3 peer-review roles + Devil's Advocate) with field-specific expertise; role separation is not a claim of independent error processes. 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, 審查論文, 論文審查, 模擬審查, 同儕審查, 幫我審這篇, 以審查人角度評估, 審查者校準, 논문 심사, 동료 심사, 모의 심사, 심사자 관점에서 평가, 심사자 보정.
The English summary is being prepared. Showing the original description.
Systematic strategic planning framework for philosophy and interdisciplinary academic papers targeting preprint platforms (PhilArchive, arXiv, PhilSci-Archive). Use when users want to: (1) plan a paper on a specific topic, (2) identify research gaps and assess originality, (3) develop optimized paper outlines, (4) prepare for preprint submission, or (5) understand platform requirements and writing standards. Triggered by phrases like 'plan a paper on,' 'help me design a paper about,' 'identify research gaps in,' 'is this idea original,' or when users need structured research planning. The skill guides through three phases: Platform Analysis (identifying target venue and studying sample papers), Theoretical Framework (AI-driven literature search and gap identification), and Outline Optimization (structured design with reviewer-perspective self-assessment). Each phase includes quality evaluation standards and validation checkpoints.
The English summary is being prepared. Showing the original description.