Agent skills
Skills you can use with AI coding agents, indexed from public GitHub repositories.
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agent-network-engineer
Expert network engineer specializing in cloud and hybrid network architectures, security, and performance optimization. Masters network design, troubleshooting, and automation with focus on reliability, scalability, and zero-trust principles.
majiayu000/claude-skill-registry 163
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csp-config-generator
This skill should be used when the user requests to generate, create, or configure Content Security Policy (CSP) headers for Next.js applications to prevent XSS attacks and control resource loading. It analyzes the application to determine appropriate CSP directives and generates configuration via next.config or middleware. Trigger terms include CSP, Content Security Policy, security headers, XSS protection, generate CSP, configure CSP, strict CSP, nonce-based CSP, CSP directives.
majiayu000/claude-skill-registry 163
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analyze-investment-clock-rotation
把「獲利成長 × 財務狀況（金融環境）」映射成「投資時鐘」，判斷目前落在哪個象限、近期是順時針還是逆時針旋轉、以及相對於上一輪循環的位置差異。
majiayu000/claude-skill-registry 163
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openclaw-medicine
Diagnose and fix OpenClaw gateway issues — broken configs, missing tokens, dead channels, auth failures, merge bugs, and multi-instance management. Use when openclaw is unresponsive, channels aren't starting, config is corrupted, or when managing remote openclaw instances (e.g. via SSH). Also covers migrating between config strategies (Nix-managed vs local).
majiayu000/claude-skill-registry 163
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editorconfig-generator
Generate .editorconfig files for consistent coding styles across different editors and IDEs. Triggers on "create editorconfig", "generate editor config", "editorconfig for", "editor settings".
majiayu000/claude-skill-registry 163
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way-magefile
Build tool for Go projects. Use when the user wants to create, edit, or understand Way-specific Magefiles, build targets, or automate Go project tasks.
majiayu000/claude-skill-registry 163
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exploration-strategies
Master ε-greedy, UCB, curiosity-driven, RND, intrinsic motivation exploration
majiayu000/claude-skill-registry 163
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jira-task
Creates Jira tasks following Prowler's standard format. Trigger: When user asks to create a Jira task, ticket, or issue.
majiayu000/claude-skill-registry 163
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torchdrug
Graph-based drug discovery toolkit. Molecular property prediction (ADMET), protein modeling, knowledge graph reasoning, molecular generation, retrosynthesis, GNNs (GIN, GAT, SchNet), 40+ datasets, for PyTorch-based ML on molecules, proteins, and biomedical graphs.
majiayu000/claude-skill-registry 163
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nex-codebase-navigation
Navigate and index the NATS NEX codebase. Key codepaths, file structure, and architecture overview.
majiayu000/claude-skill-registry 163
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explaining-code
Explains code with visual diagrams and analogies. Use when explaining how code works, teaching about a codebase, or when the user asks "how does this work?"
majiayu000/claude-skill-registry 163
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nielsen-match-real-world
Asegura que el sistema use lenguaje y conceptos familiares para los usuarios. Use cuando escriba copy, diseñe iconografía, o estructure información para que coincida con modelos mentales del usuario.
majiayu000/claude-skill-registry 163
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grafana
Observability visualization with Grafana and LGTM stack. Dashboard design, panel configuration, alerting, variables/templating, and data sources.
USE WHEN: Creating Grafana dashboards, configuring panels and visualizations, writing LogQL/TraceQL queries, setting up Grafana data sources, configuring dashboard variables and templates, building Grafana alerts.
DO NOT USE: For writing PromQL queries (use /prometheus), for alerting rule strategy (use /prometheus), for general observability architecture (use senior-infrastructure-engineer).
TRIGGERS: grafana, dashboard, panel, visualization, logql, traceql, loki, tempo, mimir, data source, annotation, variable, template, row, stat, graph, table, heatmap, gauge, bar chart, pie chart, time series, logs panel, traces panel, LGTM stack.
majiayu000/claude-skill-registry 163
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exa-code-context
Search for relevant code snippets, examples, and documentation from billions of GitHub repositories, documentation pages, and Stack Overflow posts. Use this skill when coding tasks require real working code examples, API usage patterns, framework setup instructions, or library implementation details to eliminate hallucinations and provide accurate, token-efficient context.
majiayu000/claude-skill-registry 163
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educator-teacher
Use when creating educational content, explaining concepts through animation, or when teaching animation principles to students.
majiayu000/claude-skill-registry 163
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dev-swarm-python
Install and configure Python and uv. Use when setting up a Python environment.
majiayu000/claude-skill-registry 163
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local-environment
Local development environment management for Polar using Docker
majiayu000/claude-skill-registry 163
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rspec-testing-guidelines
RSpec testing patterns, factories, mocks, and test best practices
majiayu000/claude-skill-registry 163
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agentuity-cli-cloud-sandbox-execution-get
Get information about a specific execution. Requires authentication. Use for Agentuity cloud platform operations
majiayu000/claude-skill-registry 163
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doc-draft
outline.yamlなどの下書きを、テンプレートと過去の申請書を参考にして正式な文書（Markdown）に変換するスキル。「下書きを正式文書にして」「outline.yamlを正式文書にして」などの指示で発動。docxスキルを使用して過去の申請書（samples/配下）を読み込み、文体や表現を参考にする。
majiayu000/claude-skill-registry 163
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scanning-for-secrets
Detect exposed secrets, API keys, and credentials in code. Use when auditing for secret leaks. Trigger with 'scan for secrets', 'find exposed keys', or 'check credentials'.
majiayu000/claude-skill-registry 163
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presentation-design-expert
Presentation specialist for slide design, visual storytelling, data visualization, and compelling public speaking techniques
majiayu000/claude-skill-registry 163
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trade-study-analysis
Conduct systematic trade study analyses using the DAU 9-Step Trade Study Process. Guides engineers through problem definition, root cause analysis (5 Whys, Fishbone), data collection from alternatives and datasheets, normalization calculations, weighted scoring, sensitivity analysis, and professional report generation with visualizations and decision matrices. Use when evaluating alternatives, comparing solutions, conducting trade-offs, or making engineering decisions.
majiayu000/claude-skill-registry 163
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bio-imaging-mass-cytometry-cell-segmentation
Cell segmentation from multiplexed tissue images. Covers deep learning (Cellpose, Mesmer) and classical approaches for nuclear and whole-cell segmentation. Use when extracting single-cell data from IMC or MIBI images after preprocessing.
majiayu000/claude-skill-registry 163