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実際に使われている Agent Skills。
公開リポジトリの検証済み Skills を比較し、機能、内容、導入状況、出典を確認してから追加できます。
- 掲載範囲
- 検証済み
- Skills
- 10,772
- リポジトリ
- 1711
- 最終同期
- 2026/09/23
sickn33data-quality-frameworks
Implement data quality validation with Great Expectations, dbt tests, and data contracts. Use when building data quality pipelines, implementing validation rules, or establishing data contracts.
- 導入数
- 1
- GitHub Stars
- 4.7万
- 更新日
- 9月20日
sickn33database-migration
Master database schema and data migrations across ORMs (Sequelize, TypeORM, Prisma), including rollback strategies and zero-downtime deployments.
- 導入数
- 1
- GitHub Stars
- 4.7万
- 更新日
- 9月20日
sickn33distributed-tracing
Implement distributed tracing with Jaeger and Tempo for request flow visibility across microservices.
- 導入数
- 1
- GitHub Stars
- 4.7万
- 更新日
- 9月20日
sickn33e2e-testing-patterns
Build reliable, fast, and maintainable end-to-end test suites that provide confidence to ship code quickly and catch regressions before users do.
- 導入数
- 1
- GitHub Stars
- 4.7万
- 更新日
- 9月20日
sickn33fastapi-templates
Create production-ready FastAPI projects with async patterns, dependency injection, and comprehensive error handling. Use when building new FastAPI applications or setting up backend API projects.
- 導入数
- 1
- GitHub Stars
- 4.7万
- 更新日
- 9月20日
sickn33github-actions-templates
Production-ready GitHub Actions workflow patterns for testing, building, and deploying applications.
- 導入数
- 1
- GitHub Stars
- 4.7万
- 更新日
- 9月20日
sickn33ios-developer
Develop native iOS applications with Swift/SwiftUI. Masters iOS 18, SwiftUI, UIKit integration, Core Data, networking, and App Store optimization.
- 導入数
- 1
- GitHub Stars
- 4.7万
- 更新日
- 9月20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.
- 導入数
- 1
- GitHub Stars
- 4万
- 更新日
- 9月19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.
- 導入数
- 1
- GitHub Stars
- 4万
- 更新日
- 9月19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.
- 導入数
- 1
- GitHub Stars
- 4万
- 更新日
- 9月19日
wshobsoncheckpoint-promotion
Gate fine-tuned checkpoints with drift budgets, paired comparison, and forgetting checks before promotion. Use after a training run produces a checkpoint, when deciding whether a tuned model ships, or when a promoted model needs re-gating against updated goldens.
- 導入数
- 1
- GitHub Stars
- 4万
- 更新日
- 9月19日
wshobsoncontext-driven-development
- Creates and maintains project context artifacts (product.md, tech-stack.md, workflow.md, tracks.md) in a conductor/ directory. Scaffolds new projects from scratch, extracts context from existing codebases, validates artifact consistency before implementation, and synchronizes documents as the project evolves. Use when setting up a project, creating or updating product docs, managing a tech stack file, defining development workflows, tracking work units, onboarding to an existing codebase, or running project scaffolding.
- 導入数
- 1
- GitHub Stars
- 4万
- 更新日
- 9月19日
wshobsondata-quality-frameworks
Implement data quality validation with Great Expectations, dbt tests, and data contracts. Use when building data quality pipelines, implementing validation rules, or establishing data contracts.
- 導入数
- 1
- GitHub Stars
- 4万
- 更新日
- 9月19日
wshobsondata-storytelling
Transform data into compelling narratives using visualization, context, and persuasive structure. Use when presenting analytics to stakeholders, creating data reports, or building executive presentations.
- 導入数
- 1
- GitHub Stars
- 4万
- 更新日
- 9月19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.
- 導入数
- 1
- GitHub Stars
- 4万
- 更新日
- 9月19日
wshobsondeployment-pipeline-design
Design multi-stage CI/CD pipelines with approval gates, security checks, and deployment orchestration. Use this skill when designing zero-downtime deployment pipelines, implementing canary rollout strategies, setting up multi-environment promotion workflows, or debugging failed deployment gates in CI/CD.
- 導入数
- 1
- GitHub Stars
- 4万
- 更新日
- 9月19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.
- 導入数
- 1
- GitHub Stars
- 4万
- 更新日
- 9月19日
wshobsoneval-harness-first
Build the evaluation harness that gates every fine-tuning run — golden sets, per-failure-mode graders, judge calibration, and base-model baselines. Use when starting a fine-tuning effort, when converting traces into an eval set, or when calibrating a judge against human labels.
- 導入数
- 1
- GitHub Stars
- 4万
- 更新日
- 9月19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.
- 導入数
- 1
- GitHub Stars
- 4万
- 更新日
- 9月19日
wshobsongitlab-ci-patterns
Build GitLab CI/CD pipelines with multi-stage workflows, caching, and distributed runners for scalable automation. Use when implementing GitLab CI/CD, optimizing pipeline performance, or setting up automated testing and deployment.
- 導入数
- 1
- GitHub Stars
- 4万
- 更新日
- 9月19日
wshobsongo-concurrency-patterns
Master Go concurrency with goroutines, channels, sync primitives, and context. Use when building concurrent Go applications, implementing worker pools, or debugging race conditions.
- 導入数
- 1
- GitHub Stars
- 4万
- 更新日
- 9月19日
wshobsongrpo-rlvr-training
Train reasoning and verifiable-task behavior with GRPO and reinforcement learning from verifiable rewards (RLVR). Use when task success is algorithmically checkable (math, code, tool calls, structured output), when designing GRPO reward functions, or when a GRPO run diverges or reward-hacks.
- 導入数
- 1
- GitHub Stars
- 4万
- 更新日
- 9月19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.
- 導入数
- 1
- GitHub Stars
- 4万
- 更新日
- 9月19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.
- 導入数
- 1
- GitHub Stars
- 4万
- 更新日
- 9月19日