Claude Skills
The open format is called Agent Skills and works in Claude Code, Codex, Cursor and other agents — most people know it as Claude Skills.
Every Agent Skill we could find on GitHub, deduplicated by content. 79 870 files from 1 769 authors, of which 62 217 are unique — the rest is the same skill repackaged into someone else's repository. For each one: what it weighs in tokens, whether it ships runnable scripts, and which MCP servers it needs.
Estimate monthly costs for Azure resources by querying the Azure Retail Prices API. Parses ARM templates to identify resources, SKUs, and regions, then looks up real retail pricing. Produces a per-resource cost breakdown with monthly totals. Use during template generation or when user asks about costs.
Detect configuration drift between deployed Azure resources and stored deployment state. Compare actual Azure configuration against desired state in .azure/deployments/, identify differences, and guide user through reconciliation options. Use when checking for manual changes, policy remediations, or unauthorized modifications.
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.
Assess ARM template resources for Azure Policy compliance. Analyse the template, query existing subscription assignments via `az policy assignment list`, identify unassigned built-in and custom policies (CIS, NIST, FedRAMP), and emit a two-part report: template-fixable gaps (Part 1) and subscription-level policy assignments (Part 2). USE FOR: recommending Azure Policy assignments for an ARM template, auditing a subscription against CIS/NIST/general best practices, deciding which initiatives to assign at sub or management-group scope, distinguishing template-fixable vs platform-level governance gaps. DO NOT USE FOR: per-resource security configuration assessment (use azure-security-analyzer), RBAC role recommendations (use azure-role-selector), CAF naming abbreviations (use azure-naming-research), or pricing estimates (use azure-cost-estimator). INVOKES: az policy assignment list, az policy set-definition list, microsoft_docs_search, microsoft_docs_fetch.
Query live Azure APIs to validate resource availability before template generation or deployment. Checks VM SKU restrictions, Kubernetes/runtime version support, API version compatibility, and subscription quota. Use during requirements gathering and preflight to catch deployment failures early.
Analyze deployed Azure resource groups and generate detailed Mermaid architecture diagrams showing relationships between resources. Use for post-deployment visualization, understanding existing infrastructure, or documenting live Azure environments.
Run preflight validation on ARM templates before deployment. Performs what-if analysis, permission checks, and generates a structured report with resource changes (create/modify/delete). Use before any deployment to preview changes and catch issues early.
Analyze Azure resource configurations against security best practices using Azure MCP bestpractices service. Produces per-resource security assessment with severity ratings and recommendations. Use during template generation before deployment confirmation.
Bootstrap a GitHub repository for Git-Ape CI/CD: Entra app registration, OIDC federated credentials, RBAC role assignments, GitHub environments (azure-deploy/azure-destroy), required secrets, and scaffold Actions workflow files — plus enterprise-wide distribution via a `.github-private` repo (managed-settings.json plugin standards + custom agents). USE FOR: first-time Git-Ape setup, new subscription onboarding, multi-environment (dev/staging/prod) setup, configure OIDC, federated credentials, RBAC setup, GitHub environments, scaffold workflow files, rolling Git-Ape out org/enterprise-wide. DO NOT USE FOR: deploying resources (use git-ape), drift detection alone, secret rotation.
Tear down a Git-Ape deployment by ID. Reads `state.json` under `.azure/deployments/<id>/` to delete the Azure Deployment Stack and purge soft-deleted Key Vault / Cognitive Services. Refuses to run without `state.json`. Use for any local CLI or VS Code Git-Ape teardown so the result matches the CI destroy workflow.
Look up Azure REST API and ARM template reference documentation for any resource type. Returns exact property schemas, required fields, valid values, and latest stable API versions. Use BEFORE generating or modifying ARM templates to ensure correctness. No Azure connection required.
Recommend least-privilege Azure RBAC roles for deployed resources. Finds minimal built-in roles matching desired permissions or creates custom role definitions. Use during security analysis or when configuring access for service principals and managed identities.
Run an Azure Deployment Stack create (subscription scope) for a prepared Git-Ape deployment artifact and write state.json (schemaVersion 1.0). Use locally so the result matches the CI deploy workflow.
Validate Git-Ape CLI tool installation (az, gh, jq, git), versions, and auth sessions. Shows platform-specific install commands for anything missing. USE FOR: check Git-Ape prerequisites, what do I need to install for Git-Ape, verify Git-Ape CLI tools, az: command not found, gh: command not found, jq: command not found, git: command not found, az missing, gh missing, jq missing, git missing, fresh machine setup for Git-Ape, dev container setup for Git-Ape, before running git-ape-onboarding, az login required, gh auth login, auth expired, not logged in, outdated az version, minimum az version, upgrade az. DO NOT USE FOR: Anything else. This skill is narrowly scoped to prerequisites checks for Git-Ape's CLI tools and auth sessions. Do not use it for any other purpose.
行为面试 skill。帮求职者挖掘真实经历、用 STAR/CAR 结构化、映射能力标签、构建可复用的中英双语故事库（Story Bank）；并能接入 JD + 简历，针对具体岗位生成 Top 20 BQ 选题 + 基于真实经历的 STAR 准备模板（HTML 报告）。不是背答案，而是建立可复用的职业叙事体系，让任何行为面试题都能自然作答。关键词：behavioral question, BQ, 行为面试, STAR, 故事库, Amazon LP, 职业故事, tell me about a time, 面试准备, JD 面试题预测, top 20 题。
求职工具包。把「看到心动岗位 → 拿到 offer」拆成三个独立子 skill：① Job Description Skill 解码 JD 并出一份 Offer Strategy Report（该不该投 / 匹配度 / 面试题预测），② Resume Skill 把简历结构化并渲染成 11 套打印级模板，③ BQ Skill 挖掘真实经历、STAR 化，建可复用的行为面试故事库。任何求职相关请求（该不该投、改简历、准备行为面试、看 JD、Tell me about a time…）都从这里进，再路由到对应子 skill。关键词：求职, offer, career, job hunt, JD, job description, 简历, resume, CV, 行为面试, behavioral interview, BQ, STAR, tell me about a time, 面试准备。
Analyze labor productivity from site data. Compare planned vs actual, identify trends, benchmark against industry standards.
Extract quantities from IFC/Revit models for quantity takeoff. Uses DDC converters to get element counts, areas, volumes, lengths with grouping and reporting.
Create interactive KPI dashboards for construction projects. Track schedule, cost, quality, and safety metrics in real-time.
Classify BIM elements using AI and standard classification systems. Map elements to UniFormat, MasterFormat, OmniClass, and CWICR codes.
Calculate CO2 emissions and carbon footprint from BIM model data. Analyze embodied carbon by material, element, and building system.
Generate automated daily progress reports from site data. Track work completed, labor hours, equipment usage, and weather conditions.
Generate comprehensive BIM model validation reports. Check data quality, completeness, and compliance with standards.
Detect and analyze geometric clashes in BIM models. Identify MEP, structural, and architectural conflicts before construction.
Analyze construction site photos to track progress, detect safety issues, and compare against BIM models using computer vision.
Generate images and visualizations from Revit/IFC files without BIM software. Python-based noBIM tool for batch processing.
Push Excel data back to BIM models. Update parameters, properties, and attributes from structured spreadsheets.
Convert AutoCAD DWG files (1983-2026) to Excel databases using DwgExporter CLI. Extract layers, blocks, attributes, and geometry data without Autodesk licenses.
Batch convert multiple CAD/BIM files (Revit, IFC, DWG, DGN) with progress tracking, error handling, and consolidated reporting.
Convert DGN files (v7-v8) to Excel databases. Extract elements, levels, and properties from infrastructure CAD files.
Import Excel data into RVT projects. Update element parameters, create schedules, and sync external data sources.
Convert IFC files (2x3, 4x1, 4x3) to Excel databases using IfcExporter CLI. Extract BIM data, properties, and geometry without proprietary software.
Convert RVT files to IFC format. Support IFC2x3, IFC4, IFC4.3 with customizable export settings.
Convert RVT/RFA files to Excel databases. Extract BIM element data, properties, and quantities.
Compare cost estimates across projects, versions, and scenarios. Identify variances, benchmark against standards, and generate comparison reports.
Calculate construction costs using DDC CWICR resource-based methodology. Break down costs into labor, materials, equipment with transparent pricing.
Build cost assemblies from CWICR work items. Combine multiple items into reusable templates for common construction elements.
Process construction change orders using CWICR data. Calculate cost impact, compare to original estimate, and generate change order documentation.
Analyze contractor bids against CWICR benchmarks. Identify pricing anomalies, compare bid components, and support bid evaluation decisions.
Optimize crew composition using CWICR labor norms. Balance productivity, cost, and skill requirements for construction crews.
Load and parse DDC CWICR construction cost database from multiple formats: Parquet, Excel, CSV, Qdrant snapshots. Foundation for all CWICR operations.
Validate CWICR data quality and estimate inputs. Check for errors, inconsistencies, outliers, and missing data.
Schedule labor crews based on CWICR norms and project timeline. Calculate crew sizes, shifts, and labor loading curves.
Plan equipment requirements using CWICR norms. Calculate equipment hours, scheduling, utilization rates, and rental vs purchase analysis.
Apply price escalation to CWICR estimates over time. Calculate inflation adjustments, material price indices, and labor rate increases.
Track and analyze historical cost data using CWICR. Compare actual vs estimated costs, build project cost database, and improve future estimates.
Generate material procurement lists from CWICR data. Calculate quantities with waste factors, group by supplier categories, and create purchase orders.
Apply geographic location factors to CWICR estimates. Adjust costs for regional labor rates, material prices, and market conditions.
Find substitute materials using CWICR data. Identify equivalent alternatives based on function, cost, and availability.
Update CWICR resource rates with current market prices. Integrate external price data, apply inflation adjustments, and maintain rate history.
Work with CWICR database across 9 languages. Cross-language matching, translation, and regional pricing.
Track actual vs planned productivity using CWICR norms. Calculate productivity rates, identify variances, and generate performance reports.
Apply overhead, profit, and markup to CWICR estimates. Calculate indirect costs, general conditions, and contractor margins.
Match BIM quantities to CWICR work items. Map element categories to cost codes, validate quantities, and generate cost-linked QTOs.
Generate professional cost estimation reports from CWICR calculations. HTML, PDF, Excel outputs with charts and breakdowns.
Analyze construction resources (labor, materials, equipment) from DDC CWICR database. Calculate resource requirements, productivity metrics, and optimization recommendations.
Analyze and compare subcontractor bids against CWICR benchmarks. Evaluate pricing, identify outliers, and support negotiation.
Convert between construction measurement units. Handle metric/imperial conversion, area/volume calculations, and unit normalization for CWICR data.
Calculate risk-adjusted cost estimates using CWICR data. Apply contingencies, Monte Carlo simulation, and probability distributions to cost estimates.
Integrate CWICR cost data with project schedules. Link work items to schedule activities, generate cost-loaded schedules, and cash flow projections.
Claude Skills — questions
Answers built from the skills we actually parsed.