Use when you need to review, improve, or refactor Java code for generics quality — including avoiding raw types, applying the PECS (Producer Extends Consumer Super) principle for wildcards, using bounded type parameters, designing effective generic methods, leveraging the diamond operator, understanding type erasure implications, handling generic inheritance correctly, preventing heap pollution with @SafeVarargs, and integrating generics with modern Java features like Records, sealed types, and pattern matching. Part of the skills-for-java project
日本語の概要は準備中です。原文の説明を表示しています。
MikeCheng1208/BattleTree☆ 22026年7月22日 更新
Perl testing patterns using Test2::V0, Test::More, prove runner, mocking, coverage with Devel::Cover, and TDD methodology.
日本語の概要は準備中です。原文の説明を表示しています。
sayasaya8039/ZWG_Terminal☆ 22026年6月8日 更新
Kotlin testing patterns with Kotest, MockK, coroutine testing, property-based testing, and Kover coverage. Follows TDD methodology with idiomatic Kotlin practices.
日本語の概要は準備中です。原文の説明を表示しています。
sayasaya8039/ZWG_Terminal☆ 22026年6月8日 更新
Codified expertise for quality control, non-conformance investigation, root cause analysis, corrective action, and supplier quality management in regulated manufacturing. Informed by quality engineers with 15+ years experience across FDA, IATF 16949, and AS9100 environments. Includes NCR lifecycle management, CAPA systems, SPC interpretation, and audit methodology. Use when investigating non-conformances, performing root cause analysis, managing CAPAs, interpreting SPC data, or handling supplier quality issues.
日本語の概要は準備中です。原文の説明を表示しています。
sayasaya8039/ZWG_Terminal☆ 22026年6月8日 更新
Python testing strategies using pytest, TDD methodology, fixtures, mocking, parametrization, and coverage requirements.
日本語の概要は準備中です。原文の説明を表示しています。
sayasaya8039/ZWG_Terminal☆ 22026年6月8日 更新
Go testing patterns including table-driven tests, subtests, benchmarks, fuzzing, and test coverage. Follows TDD methodology with idiomatic Go practices.
日本語の概要は準備中です。原文の説明を表示しています。
sayasaya8039/ZWG_Terminal☆ 22026年6月8日 更新
Django testing strategies with pytest-django, TDD methodology, factory_boy, mocking, coverage, and testing Django REST Framework APIs.
日本語の概要は準備中です。原文の説明を表示しています。
sayasaya8039/ZWG_Terminal☆ 22026年6月8日 更新
Codified expertise for demand forecasting, safety stock optimization, replenishment planning, and promotional lift estimation at multi-location retailers. Informed by demand planners with 15+ years experience managing hundreds of SKUs. Includes forecasting method selection, ABC/XYZ analysis, seasonal transition management, and vendor negotiation frameworks. Use when forecasting demand, setting safety stock, planning replenishment, managing promotions, or optimizing inventory levels.
日本語の概要は準備中です。原文の説明を表示しています。
sayasaya8039/ZWG_Terminal☆ 22026年6月8日 更新
Генерация перехватчика метода в расширении 1С (CFE). Используй когда ну…
日本語の概要は準備中です。原文の説明を表示しています。
defin85/1c-runner-agnostic-template☆ 22026年10月11日 更新
Systematic debugging methodology covering root cause analysis, log-based debugging, production debugging, memory leak diagnosis, deadlock detection, performance anomaly investigation, and reproducible bug reproduction. Distilled from real experience at Google, DeepMind, ByteDance, and Huawei. USE WHEN: investigating production incidents, debugging hard-to-reproduce bugs, analyzing crash dumps, finding race conditions, diagnosing memory leaks, debugging performance regressions, or any situation requiring systematic root cause analysis. Triggers on "debugging", "root cause", "bug", "crash", "segfault", "deadlock", "race condition", "memory leak".
日本語の概要は準備中です。原文の説明を表示しています。
aAAaqwq/openclaw-team☆ 22026年6月18日 更新
Systematic performance profiling and optimization methodology. Covers CPU profiling, memory profiling, heap analysis, goroutine/thread analysis, FlameGraph generation, latency profiling, database query profiling, network I/O profiling, and continuous performance regression detection. USE WHEN: investigating performance issues, optimizing slow code, reducing memory usage, diagnosing GC/CPU bottlenecks, finding N+1 queries, analyzing pprof/flamegraph output, or establishing a performance baseline. Triggers on "profiling", "performance analysis", "slow code", "flame graph", "pprof", "heap dump", "memory leak", "CPU spike", "bottleneck".
日本語の概要は準備中です。原文の説明を表示しています。
aAAaqwq/openclaw-team☆ 22026年6月18日 更新
Architecture Decision Records (ADR) — a lightweight method for capturing important architectural decisions with context, trade-offs, and rationale. Based on Michael Nygard's ADR pattern and Google/Meta/ByteDance's design documentation culture. USE WHEN: deciding between technology choices, designing new architecture, changing existing architecture, documenting why a decision was made, onboarding new team members, or preserving design context for future maintainers. Triggered by terms like "tech choice", "architecture decision", "why did we choose", "design rationale", "ADR", or "architectural decision record".
日本語の概要は準備中です。原文の説明を表示しています。
aAAaqwq/openclaw-team☆ 22026年6月18日 更新
Tactical negotiation framework based on Chris Voss's "Never Split the Difference." Use when preparing for negotiations, during live negotiation scenarios, analyzing counterpart behavior, crafting responses to difficult conversations, handling objections, salary/contract negotiations, or when asked about negotiation techniques like mirroring, labeling, calibrated questions, or the Ackerman method.
日本語の概要は準備中です。原文の説明を表示しています。
aAAaqwq/openclaw-team☆ 22026年6月18日 更新
Conduct exhaustive multi-source investigation with methodology tracking, source evaluation, and iterative depth.
日本語の概要は準備中です。原文の説明を表示しています。
aAAaqwq/openclaw-team☆ 22026年6月18日 更新
Creates an integration testing plan for .NET data access artifacts during Oracle-to-PostgreSQL database migrations. Analyzes a single project to identify repositories, DAOs, and service layers that interact with the database, then produces a structured testing plan. Use when planning integration test coverage for a migrated project, identifying which data access methods need tests, or preparing for Oracle-to-PostgreSQL migration validation.
日本語の概要は準備中です。原文の説明を表示しています。
jcasnellie69/homelab-config☆ 22026年10月16日 更新
Migrates Oracle PL/SQL stored procedures to PostgreSQL PL/pgSQL. Translates Oracle-specific syntax, preserves method signatures and type-anchored parameters, leverages orafce where appropriate, and applies COLLATE "C" for Oracle-compatible text sorting. Use when converting Oracle stored procedures or functions to PostgreSQL equivalents during a database migration.
日本語の概要は準備中です。原文の説明を表示しています。
jcasnellie69/homelab-config☆ 22026年10月16日 更新
Find and own a defensible market position. Use when messaging sounds like competitors, conversion is weak despite awareness, repositioning a product, or testing positioning claims. Includes Crawl-Walk-Run rollout methodology and the word change that improved enterprise deal progression.
日本語の概要は準備中です。原文の説明を表示しています。
jcasnellie69/homelab-config☆ 22026年10月16日 更新
Technology-agnostic prompt generator that creates customizable AI prompts for scanning codebases and identifying high-quality code exemplars. Supports multiple programming languages (.NET, Java, JavaScript, TypeScript, React, Angular, Python) with configurable analysis depth, categorization methods, and documentation formats to establish coding standards and maintain consistency across development teams.
日本語の概要は準備中です。原文の説明を表示しています。
jcasnellie69/homelab-config☆ 22026年10月16日 更新
Comprehensive AI prompt engineering safety review and improvement prompt. Analyzes prompts for safety, bias, security vulnerabilities, and effectiveness while providing detailed improvement recommendations with extensive frameworks, testing methodologies, and educational content.
日本語の概要は準備中です。原文の説明を表示しています。
jcasnellie69/homelab-config☆ 22026年10月16日 更新
7-agent paper review system on Hermes Agent. 6 modes (full/re-review/quick/methodology-focus/guided/calibration). 5-panel review with editorial decision, revision roadmap, and calibration metrics. Uses delegate_task for each reviewer. Triggers: review paper, peer review, manuscript review, check revisions, calibrate reviewer, 審稿, 同儕審查, 論文審查.
日本語の概要は準備中です。原文の説明を表示しています。
Lord1Egypt/awesome-skill-forge☆ 22026年6月10日 更新
Parameter-efficient fine-tuning for LLMs using LoRA, QLoRA, and 25+ methods. Use when fine-tuning large models (7B-70B) with limited GPU memory, when you need to train <1% of parameters with minimal accuracy loss, or for multi-adapter serving. HuggingFace's official library integrated with transformers ecosystem.
日本語の概要は準備中です。原文の説明を表示しています。
Lord1Egypt/awesome-skill-forge☆ 22026年6月10日 更新
Inspect, benchmark, and monitor Web3 RPC endpoints — latency checks, method support, chain detection, and health scoring.
日本語の概要は準備中です。原文の説明を表示しています。
Lord1Egypt/awesome-skill-forge☆ 22026年6月10日 更新
You are an **expert onboarding specialist and knowledge transfer architect** with deep experience in remote-first organizations, technical team integration, and accelerated learning methodologies. Your role is to ensure smooth, comprehensive onboarding that transforms new team members into productive contributors while preserving institutional knowledge.
日本語の概要は準備中です。原文の説明を表示しています。
itsimonfredlingjack/codex-dev-plugin☆ 22026年2月5日 更新
Expert accessibility specialist ensuring WCAG compliance, inclusive design, and assistive technology compatibility. Masters screen reader optimization, keyboard navigation, and a11y testing methodologies. Use PROACTIVELY when auditing accessibility, remediating a11y issues, building accessible components, or ensuring inclusive user experiences.
日本語の概要は準備中です。原文の説明を表示しています。
itsimonfredlingjack/codex-dev-plugin☆ 22026年2月5日 更新