Research Azure naming constraints and CAF abbreviations for a given resource type. Use when you need to look up the official CAF slug, naming rules (length, scope, valid characters), and derive validation/cleaning regex patterns for an Azure resource. Triggers on: CAF abbreviation lookup, Azure naming rules research, resource naming constraints.
npx skills add https://github.com/Azure/git-ape --skill azure-naming-research
Query the CAF abbreviations page for the official slug and resource provider namespace:
URL: https://learn.microsoft.com/en-us/azure/cloud-adoption-framework/ready/azure-best-practices/resource-abbreviations
Prefer Microsoft Docs MCP tools (microsoft_docs_search, microsoft_docs_fetch) when available.
Search by:
azurerm_ prefix (e.g., "container app")Extract: CAF abbreviation (slug), resource display name, resource provider namespace.
If not found, the resource is out-of-doc — set "out_of_doc": true in the JSON entry and omit official.slug and official.resource_provider_namespace.
Query the naming rules page for constraints:
URL: https://learn.microsoft.com/en-us/azure/azure-resource-manager/management/resource-name-rules
Find the section matching the resource provider namespace from step 1. Extract: scope, length (min-max), valid characters.
See references/regex-patterns.md for the regex conversion tables.
"global", "resource group"→"resourceGroup", "within parent"→"parent", "subscription"→"subscription"true if hyphens allowedtrue if only lowercase letters allowed"\"pattern\""Never guess at constraints — mark as UNKNOWN if not verifiable.
This skill should be used when working with LaminDB, an open-source data framework for biology that makes data queryable, traceable, reproducible, and FAIR. Use when managing biological datasets (scRNA-seq, spatial, flow cytometry, etc.), tracking computational workflows, curating and validating data with biological ontologies, building data lakehouses, or ensuring data lineage and reproducibility in biological research. Covers data management, annotation, ontologies (genes, cell types, diseases, tissues), schema validation, integrations with workflow managers (Nextflow, Snakemake) and MLOps platforms (W&B, MLflow), and deployment strategies.
This skill should be used when working with LaminDB, an open-source data framework for biology that makes data queryable, traceable, reproducible, and FAIR. Use when managing biological datasets (scRNA-seq, spatial, flow cytometry, etc.), tracking computational workflows, curating and validating data with biological ontologies, building data lakehouses, or ensuring data lineage and reproducibility in biological research. Covers data management, annotation, ontologies (genes, cell types, diseases, tissues), schema validation, integrations with workflow managers (Nextflow, Snakemake) and MLOps platforms (W&B, MLflow), and deployment strategies.
Orchestrate the full edge research pipeline from candidate detection through strategy design, review, revision, and export. Use when coordinating multi-stage edge research workflows end-to-end.
Workflow 5: orchestrate a text-only resubmit of a polished paper to a different venue under hard constraints (no new experiments, no bib edits, no framework changes, never overwrite prior submissions). Use when user says \"resubmit pipeline\", \"重投流程\", \"port paper to <new venue>\", \"resubmit to <venue>\", \"tighten paper for resubmission\", or has a rejected/withdrawn paper to move to a different top venue under tight time budget.
Workflow 5: orchestrate a text-only resubmit of a polished paper to a different venue under hard constraints (no new experiments, no bib edits, no framework changes, never overwrite prior submissions). Use when user says \"resubmit pipeline\", \"重投流程\", \"port paper to <new venue>\", \"resubmit to <venue>\", \"tighten paper for resubmission\", or has a rejected/withdrawn paper to move to a different top venue under tight time budget.
This skill should be used when user encounters "paper-search MCP error", "Docker not found", "Docker not running", "paper search not working", or needs help configuring paper search integration.
Submit recoverable SSH-direct research Runs with live progress cards and model-free monitoring.
公众号选题|爆款标题|热点追踪|系列策划 — 公众号 AI 选题与标题生成,覆盖热点调研、选题策划、起标题、写摘要、系列排期。面向自媒体编辑、内容运营。触发词(**单独触发仅限对已有标题/摘要的修改**):「改标题」「换个标题」「重起标题」「优化标题」「标题再想想」「换个标题试试」「改摘要」「重写摘要」「优化摘要」「摘要再优化下」。新做选题、起新标题、策划系列/内容日历、追热点都请走 aws-wechat-article-main;需要多环节串联(写+审+排+配图+发)也走 main。
Take azure/azure-naming-research from the repository into ~/.claude/skills for personal
use, or into .claude/skills inside a project.
The agent identifies a skill by the name field in its header. Two skills with the
same name cannot sit side by side — one of them will be ignored.