3 543 testing skills from 425 authors. They run test suites, check accessibility and catch what broke. Half of them fit into 1 799 tokens or less — that is what one costs your context window when the agent loads it. 404 ship runnable scripts rather than instructions alone. 2 of them cannot work without an MCP server, most often rube. We also found 429 copies of these same skills sitting in other people's repositories — counted once here, not 429 times.
3 543 unique 425 authors 2 updated this month 331 from vendors
Build AI-focused SRE incident response practices for LLM outages, degraded quality, runaway cost events, and safety regressions.
Monitor and evaluate RAG systems with retrieval quality metrics, groundedness checks, hallucination detection, and continuous regression testing.
Implement feature flags for progressive feature rollout using LaunchDarkly, Unleash, or custom solutions. Control feature visibility, perform A/B testing, and enable trunk-based development. Use when implementing gradual rollouts, feature toggles, or experimentation platforms.
Implement database backup strategies. Configure automated backups, retention, and recovery testing. Use when designing backup and recovery procedures.
Perform basic penetration testing and security assessments. Use reconnaissance, vulnerability discovery, and exploitation techniques. Use when validating security controls or assessing system security.
>- Light 科研主线 stage 6:把冻结的 question/estimand、experiment matrix、pre-registration 与 data lineage 落成最小可运行、测试先行、无泄漏、可复现且能交给 result-analysis 的实验代码。用于实现或复现训练/预处理/评测, 设计 gold/property/metamorphic 测试,控制 Python/NumPy/框架/CUDA/DataLoader 随机性,审查 train/test 或 CV fit 穿越,记录 config/code/environment/input hashes、stdout/stderr、raw metrics、patient/entity predictions 与 failure artifacts,以及运行 stage-6 checkpoint。数据泄漏或不可复现是 critical;静态扫描和同 seed 两次一致都不证明跨硬件 绝对复现。
>- Light 科研主线第 2 步·数据工程:**找得到且用得起的数据**(来源/许可/版本/大小/split)+ **提 idea 前先判数据可行性** (数据够不够支撑研究/统计功效)+ **防数据泄漏**(顶会拒稿高频雷)。何时用:用户要找/选/下载公开数据集,或给了数据问 "能不能做研究/够不够/质量行不行" / 要清洗·处理缺失异常·特征工程·划分数据集·数据增强 / 自建数据集(采集·标注规范· 隐私合规·发布) / 怀疑训练测试串了数据(泄漏) / 提 idea 前评数据基础。 触发词:数据够不够 / 数据可行性 / 数据质量 / 数据泄漏 / 防穿越 / train test 重叠 / 怎么划分 / 交叉验证 / 标注规范 / 一致性 IAA / 自建数据集 / 样本量够吗 / 统计功效 / 找数据集 / 数据许可 / dataset search / data leakage / feasibility / data split / annotation。核心纪律: **数据泄漏 = critical 一票否决**(标准化早于划分/时序穿越/实体重叠/目标编码穿越);**数据不足以支撑 idea = 拦在 idea 前(回边 2⊣3,补数据/改 idea)**;功效是经验阈值非 power analysis;泄漏检测是启发式有边界,不吹"查全了"。
Structured guide for setting up A/B tests with mandatory gates for hypothesis, metrics, and execution readiness.
This skill should be used when the user asks to "attack Active Directory", "exploit AD", "Kerberoasting", "DCSync", "pass-the-hash", "BloodHound enumeration", "Golden Ticket", "Silver Ticket", "AS-REP roasting", "NTLM relay", or needs guidance on Windows domain penetration testing.
Testing and benchmarking LLM agents including behavioral testing, capability assessment, reliability metrics, and production monitoring—where even top agents achieve less than 50% on real-world benchmarks Use when: agent testing, agent evaluation, benchmark agents, agent reliability, test agent.
Build production Apache Airflow DAGs with best practices for operators, sensors, testing, and deployment. Use when creating data pipelines, orchestrating workflows, or scheduling batch jobs.
Understand anti-reversing, obfuscation, and protection techniques encountered during software analysis. Use when analyzing protected binaries, bypassing anti-debugging for authorized analysis, or understanding software protection mechanisms.
You are an API mocking expert specializing in realistic mock services for development, testing, and demos. Design mocks that simulate real API behavior and enable parallel development.
This skill should be used when the user asks to "pentest AWS", "test AWS security", "enumerate IAM", "exploit cloud infrastructure", "AWS privilege escalation", "S3 bucket testing", "metadata SSRF", "Lambda exploitation", or needs guidance on Amazon Web Services security assessment.
Opinionated backend development standards for Node.js + Express + TypeScript microservices. Covers layered architecture, BaseController pattern, dependency injection, Prisma repositories, Zod validation, unifiedConfig, Sentry error tracking, async safety, and testing discipline.
Master Bash Automated Testing System (Bats) for comprehensive shell script testing. Use when writing tests for shell scripts, CI/CD pipelines, or requiring test-driven development of shell utilities.
This skill should be used when the user asks to "test for broken authentication vulnerabilities", "assess session management security", "perform credential stuffing tests", "evaluate password policies", "test for session fixation", or "identify authentication bypass flaws". It provides comprehensive techniques for identifying authentication and session management weaknesses in web applications.
This skill should be used when the user asks to "intercept HTTP traffic", "modify web requests", "use Burp Suite for testing", "perform web vulnerability scanning", "test with Burp Repeater", "analyze HTTP history", or "configure proxy for web testing". It provides comprehensive guidance for using Burp Suite's core features for web application security testing.
Modern JavaScript/TypeScript development with Bun runtime. Covers package management, bundling, testing, and migration from Node.js. Use when working with Bun, optimizing JS/TS development speed, or migrating from Node.js to Bun.
Execute tasks from a track's implementation plan following TDD workflow
Write modern C# code with advanced features like records, pattern matching, and async/await. Optimizes .NET applications, implements enterprise patterns, and ensures comprehensive testing. Use PROACTIVELY for C# refactoring, performance optimization, or complex .NET solutions.
Build features guided by data insights, A/B testing, and continuous measurement using specialized agents for analysis, implementation, and experimentation.
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.
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.
Use when working with debugging toolkit smart debug
Debugging specialist for errors, test failures, and unexpected behavior. Use proactively when encountering any issues.
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.
Manage major dependency version upgrades with compatibility analysis, staged rollout, and comprehensive testing. Use when upgrading framework versions, updating major dependencies, or managing breaking changes in libraries.
You are a configuration management expert specializing in validating, testing, and ensuring the correctness of application configurations. Create comprehensive validation schemas, implement configurat
You are a debugging expert specializing in setting up comprehensive debugging environments, distributed tracing, and diagnostic tools. Configure debugging workflows, implement tracing solutions, and establish troubleshooting practices for development and production environments.
Master Django 5.x with async views, DRF, Celery, and Django Channels. Build scalable web applications with proper architecture, testing, and deployment. Use PROACTIVELY for Django development, ORM optimization, or complex Django patterns.
Master end-to-end testing with Playwright and Cypress to build reliable test suites that catch bugs, improve confidence, and enable fast deployment. Use when implementing E2E tests, debugging flaky tests, or establishing testing standards.
You are an expert error analysis specialist with deep expertise in debugging distributed systems, analyzing production incidents, and implementing comprehensive observability solutions.
Use when working with error debugging multi agent review
You are an expert error analysis specialist with deep expertise in debugging distributed systems, analyzing production incidents, and implementing comprehensive observability solutions.
This skill should be used when the user asks to "test for directory traversal", "exploit path traversal vulnerabilities", "read arbitrary files through web applications", "find LFI vulnerabilities", or "access files outside web root". It provides comprehensive file path traversal attack and testing methodologies.
Master Flutter development with Dart 3, advanced widgets, and multi-platform deployment. Handles state management, animations, testing, and performance optimization for mobile, web, desktop, and embedded platforms. Use PROACTIVELY for Flutter architecture, UI implementation, or cross-platform features.
You are a dependency management expert specializing in safe, incremental upgrades of project dependencies. Plan and execute dependency updates with minimal risk, proper testing, and clear migration pa
Visual-QA loop run after replica theme install and content import. Captures replica screenshots, applies a hard responsiveness gate at 390px AND a hard per-section visual-parity gate (measured SectionParity records, verdict computed by buildRunReport), runs qualitative vision review of source/replica pairs, checks accessibility, and drives a per-section escalation ladder of fixes via editing-themes/editing-blocks/rebuild-section (R1 CSS → R2 spec-rebuild → R3 re-extract → R4a AI canonical-block rebuild → R4b deterministic styled-island floor) — escalating unresolved divergences to the operator rather than shipping them. Orchestration-internal — invoked by the replicate-with-blocks/liberate orchestrators, not directly by users.
Orchestrate whole-PAGE visual parity, with a replayable parity log so the work survives a reconstruct. PHASE 0 — if <outputDir>/parity-log.json exists, REPLAY its logged intents onto the current build first (apply + verify each by looking), so prior parity work is re-applied to whatever the latest reconstruction produced. PHASE 1 — one batch pass measuring EVERY band's built design vs the SOURCE screenshot across all axes, emitting a per-band verdict. PHASE 2 — iterate match-section on the divergent bands only, worst-first, LOGGING each fix as a semantic parity-log entry, until each matches. Never hand-roll per-section work without the batch assessment; never assert a match without cropping source+built and looking. Dispatched by replicate-with-blocks/design-qa; calls match-section per band; writes/reads parity-log.json.
Compare extracted WXR content against the original source site page by page. Find missing text, headings, images, and links. Fix by patching the WXR or re-extracting individual pages. Produces a health score and structured report. Use when asked to "qa", "check extraction", "compare content", or "verify extraction quality".
Guidelines for running PHP linting to catch syntax errors
Guidelines for checking JavaScript files for syntax errors
Guidelines for running wp-now to validate WordPress plugins and themes at runtime
Common issues, Developer Mode, version compatibility, state machine diagnosis
Use this whenever debugging an iOS DAT app with local DAT Inspector MCP tools, live device events, Meta AI app/device boundary issues, permissions, registration, sessions, streaming, callbacks, or user reports that the app cannot communicate with glasses.
MockDeviceKit for testing without physical glasses hardware
| Compile the Beamer tutorial deck and write a build report.