技能雷达 · GITHUB
值得安装的 Agent Skills。
汇总公开仓库中已验证的 Skills。安装前先看清它能做什么、包内包含什么、热度如何，以及来源是否可靠。
- 目录范围
- 已验证
- Skills
- 5,771
- 仓库
- 824
- 最近同步
- 2026年9月8日
googleworkspacerecipe-create-presentation
Create a new Google Slides presentation and add initial slides.
- 安装量
- 2
- GitHub Stars
- 3.1万
- 最近更新
- 8月25日
hkudscli-anything-notebooklm
Experimental NotebookLM harness for listing notebooks, managing sources, asking questions, generating artifacts, and downloading outputs through an installed notebooklm CLI.
- 安装量
- 2
- GitHub Stars
- 4.9万
- 最近更新
- 8月21日
sickn33clean-code
This skill embodies the principles of \"Clean Code\" by Robert C. Martin (Uncle Bob). Use it to transform \"code that works\" into \"code that is clean.\"
- 安装量
- 2
- GitHub Stars
- 4.6万
- 最近更新
- 9月2日
karpathyread-arxiv-paper
Use this skill when asked to read an arxiv paper given an arxiv URL
- 安装量
- 2
- GitHub Stars
- 5.8万
- 最近更新
- 8月2日
jackweneropencli-browser
Use when an agent needs to drive a real Chrome window via opencli — inspect a page, fill forms, click through logged-in flows, or extract data ad-hoc. Covers the selector-first target contract, compound form fields, stale-ref handling, network capture, and the agent-native envelopes the CLI returns. Not for writing adapters — see opencli-adapter-author for that.
- 安装量
- 2
- GitHub Stars
- 2.9万
- 最近更新
- 8月30日
wshobsonaccessibility-compliance
Implement WCAG 2.2 compliant interfaces with mobile accessibility, inclusive design patterns, and assistive technology support. Use when auditing accessibility, implementing ARIA patterns, building for screen readers, or ensuring inclusive user experiences.
- 安装量
- 2
- GitHub Stars
- 3.9万
- 最近更新
- 9月1日
wshobsonai-debt-detector
- Use after generating code, after accepting AI suggestions, or when reviewing AI-written modules. Also use when code works but feels brittle, when error handling seems thin, when orphaned resources or missing cleanup are suspected, or when the agent claims done but hidden debt may exist. Catches the specific failure patterns AI agents produce that humans would not.
- 安装量
- 2
- GitHub Stars
- 3.9万
- 最近更新
- 9月1日
wshobsonbazel-build-optimization
Optimize Bazel builds for large-scale monorepos. Use when configuring Bazel, implementing remote execution, or optimizing build performance for enterprise codebases.
- 安装量
- 2
- GitHub Stars
- 3.9万
- 最近更新
- 9月1日
wshobsonbefore-you-build
Pre-build product and feature risk review for founders, product managers, and AI-assisted builders. Use this skill when the user is about to build a landing page, MVP, SaaS product, internal tool, agent workflow, or major feature and needs to check demand, positioning, monetization, retention, trust, distribution, and adoption risk before implementation starts.
- 安装量
- 2
- GitHub Stars
- 3.9万
- 最近更新
- 9月1日
wshobsonbinary-analysis-patterns
Master binary analysis patterns including disassembly, decompilation, control flow analysis, and code pattern recognition. Use when analyzing executables, understanding compiled code, or performing static analysis on binaries.
- 安装量
- 2
- GitHub Stars
- 3.9万
- 最近更新
- 9月1日
wshobsonchangelog-automation
Automate changelog generation from commits, PRs, and releases following Keep a Changelog format. Use when setting up release workflows, generating release notes, or standardizing commit conventions.
- 安装量
- 2
- GitHub Stars
- 3.9万
- 最近更新
- 9月1日
wshobsoncqrs-implementation
Implement Command Query Responsibility Segregation for scalable architectures. Use when separating read and write models, optimizing query performance, or building event-sourced systems.
- 安装量
- 2
- GitHub Stars
- 3.9万
- 最近更新
- 9月1日
wshobsondataset-curation
Prepare, format, and validate datasets for supervised fine-tuning and preference training. Use when converting raw data into training format, applying chat templates, configuring sequence packing, generating synthetic training data, or writing a dataset card before a run.
- 安装量
- 2
- GitHub Stars
- 3.9万
- 最近更新
- 9月1日
wshobsondbt-transformation-patterns
Master dbt (data build tool) for analytics engineering with model organization, testing, documentation, and incremental strategies. Use when building data transformations, creating data models, or implementing analytics engineering best practices.
- 安装量
- 2
- GitHub Stars
- 3.9万
- 最近更新
- 9月1日
wshobsondebugging-strategies
Master systematic debugging techniques, profiling tools, and root cause analysis to efficiently track down bugs across any codebase or technology stack. Use when investigating bugs, performance issues, or unexpected behavior.
- 安装量
- 2
- GitHub Stars
- 3.9万
- 最近更新
- 9月1日
wshobsonembedding-strategies
Select and optimize embedding models for semantic search and RAG applications. Use when choosing embedding models, implementing chunking strategies, or optimizing embedding quality for specific domains.
- 安装量
- 2
- GitHub Stars
- 3.9万
- 最近更新
- 9月1日
wshobsonemployment-contract-templates
Create employment contracts, offer letters, and HR policy documents following legal best practices. Use when drafting employment agreements, creating HR policies, or standardizing employment documentation.
- 安装量
- 2
- GitHub Stars
- 3.9万
- 最近更新
- 9月1日
wshobsonevaluation-methodology
PluginEval quality methodology — dimensions, rubrics, statistical methods, and scoring formulas. Use this skill when understanding how plugin quality is measured, when interpreting a low score on a specific dimension, when deciding how to improve a skill's triggering accuracy or orchestration fitness, when calibrating scoring thresholds for your marketplace, or when explaining quality badges to external partners like Neon.
- 安装量
- 2
- GitHub Stars
- 3.9万
- 最近更新
- 9月1日
wshobsonfinetuning-method-selection
Decide whether to fine-tune at all, and route to the right method (SFT, DPO/ORPO/KTO, GRPO/RLVR, continued pretraining) and base model. Use when starting any fine-tuning effort, when unsure whether RAG or prompting would suffice, or when choosing between preference-optimization and reinforcement methods.
- 安装量
- 2
- GitHub Stars
- 3.9万
- 最近更新
- 9月1日
wshobsongrounded-vault
Use when maintaining a durable Markdown knowledge store that agents compile from sources, when every number or quote in a wiki page must trace back to an immutable source, or when compiled pages need cheap drift detection against the code they describe. Teaches the raw/wiki/archive layout, per-claim provenance links, and git fingerprints for zero-token staleness checks.
- 安装量
- 2
- GitHub Stars
- 3.9万
- 最近更新
- 9月1日
wshobsonhads
Use when writing technical documentation that needs to be readable by both humans and AI models, converting existing docs to HADS format, validating a HADS document, or optimizing documentation for token-efficient AI consumption.
- 安装量
- 2
- GitHub Stars
- 3.9万
- 最近更新
- 9月1日
wshobsonhybrid-cloud-networking
Configure secure, high-performance connectivity between on-premises infrastructure and cloud platforms using VPN and dedicated connections. Use when building hybrid cloud architectures, connecting data centers to cloud, or implementing secure cross-premises networking.
- 安装量
- 2
- GitHub Stars
- 3.9万
- 最近更新
- 9月1日
wshobsonhybrid-search-implementation
Combine vector and keyword search for improved retrieval. Use when implementing RAG systems, building search engines, or when neither approach alone provides sufficient recall.
- 安装量
- 2
- GitHub Stars
- 3.9万
- 最近更新
- 9月1日
wshobsonincident-runbook-templates
Create structured incident response runbooks with step-by-step procedures, escalation paths, and recovery actions. Use this skill when building a service outage runbook for a payment processing system; creating database incident procedures covering connection pool exhaustion, replication lag, and disk space alerts; onboarding new on-call engineers who need step-by-step recovery guides written for a 3 AM brain; or standardizing escalation matrices across multiple engineering teams.
- 安装量
- 2
- GitHub Stars
- 3.9万
- 最近更新
- 9月1日