Browse Skills — Page 158
21,746 public skills · showing 15,701–15,800
- 100/100
python-project-structure
wshobson/agents
Python project organization, module architecture, and public API design. Use when setting up new projects, organizing modules, defining public interfaces with __all__, or planning directory layouts.
- 85/100
python-prototype-pollution
wgpsec/AboutSecurity
Python 原型链污染(属性注入/Class Pollution)检测与利用。当目标为 Python Web 应用(Flask/Sanic/Django/FastAPI)且存在递归合并(merge)、深度属性设置(pydash.set_)、JSON 配置更新接口时使用。覆盖污染入口识别、__globals__链构造、Flask SECRET_KEY/Jinja2定界符/searchpath污染、pydash路径过滤绕过、Sanic污染链、RCE/文件读取/权限提升利用
- 100/100
python-pypi-package-builder
github/awesome-copilot
'End-to-end skill for building, testing, linting, versioning, and publishing a production-grade Python library to PyPI. Covers all four build backends (setuptools+setuptools_scm, hatchling, flit, poetry), PEP 440 versioning, semantic versioning, dynamic git-tag versioning, OOP/SOLID design, type hints (PEP 484/526/544/561), Trusted Publishing (OIDC), and the full PyPA packaging flow. Use for: creating Python packages, pip-installable SDKs, CLI tools, framework plugins, pyproject.toml setup, py.typed, setuptools_scm, semver, mypy, pre-commit, GitHub Actions CI/CD, or PyPI publishing.'
- 100/100
python-quality-gate
notque/vexjoy-agent
Python quality checks: ruff, pytest, mypy, bandit in deterministic order.
- 100/100
python-resilience
wshobson/agents
Python resilience patterns including automatic retries, exponential backoff, timeouts, and fault-tolerant decorators. Use when adding retry logic, implementing timeouts, building fault-tolerant services, or handling transient failures.
- 100/100
python-resource-management
wshobson/agents
Python resource management with context managers, cleanup patterns, and streaming. Use when managing connections, file handles, implementing cleanup logic, or building streaming responses with accumulated state.
- 90/100
python-testing
affaan-m/ECC
Python testing strategies using pytest, TDD methodology, fixtures, mocking, parametrization, and coverage requirements.
- 100/100
python-testing-patterns
diegosouzapw/awesome-omni-skills
Python Testing Patterns workflow skill. Use this skill when the user needs Implement comprehensive testing strategies with pytest, fixtures, mocking, and test-driven development. Use when writing Python tests, setting up test suites, or implementing testing best practices and the operator should preserve the upstream workflow, copied support files, and provenance before merging or handing off.
- 100/100
python-testing-patterns
wshobson/agents
Implement comprehensive testing strategies with pytest, fixtures, mocking, and test-driven development. Use when writing Python tests, setting up test suites, or implementing testing best practices.
- 100/100
python-testing-patterns-v2
diegosouzapw/awesome-omni-skills
Python Testing Patterns workflow skill. Use this skill when the user needs Implement comprehensive testing strategies with pytest, fixtures, mocking, and test-driven development. Use when writing Python tests, setting up test suites, or implementing testing best practices and the operator should preserve the upstream workflow, copied support files, and provenance before merging or handing off.
- 100/100
python-testing-patterns-v3
diegosouzapw/awesome-omni-skills
Python Testing Patterns workflow skill. Use this skill when the user needs Implement comprehensive testing strategies with pytest, fixtures, mocking, and test-driven development. Use when writing Python tests, setting up test suites, or implementing testing best practices and the operator should preserve the upstream workflow, copied support files, and provenance before merging or handing off.
- 100/100
python-type-safety
wshobson/agents
Python type safety with type hints, generics, protocols, and strict type checking. Use when adding type annotations, implementing generic classes, defining structural interfaces, or configuring mypy/pyright.
- 100/100
python-type-system
TheBushidoCollective/han
Use when Python's type system including type hints, mypy, Protocol, TypedDict, and Generics. Use when working with Python type annotations.
- 25/100
python-web-debug
wgpsec/AboutSecurity
Python Web 框架 Debug 模式利用。当目标是 Flask/Django/FastAPI/Tornado 应用且开启了 Debug 模式时使用。当看到 Werkzeug Debugger 页面(交互式 Python console)、Django 黄色调试页面(Settings/Traceback)、FastAPI 自动文档(/docs /redoc)、或错误页面泄露了 Python 堆栈跟踪和源码路径时使用。Werkzeug debugger PIN 计算是 CTF 和实战中的经典考点——通过读取 /etc/machine-id 和 MAC 地址即可算出 PIN 码获取 RCE。任何 Python Web 应用的错误页面、/console 路径、或泄露了 Flask/Django/Werkzeug 版本信息时都应使用此 skill
- 100/100
python-workspace
terrylica/cc-skills
Python workspace for MQL5 integration. TRIGGERS - MetaTrader 5 Python, mt5 package, MQL5-Python setup.
- 100/100
pytorch
TerminalSkills/skills
>-
- 80/100
pytorch-fsdp
NousResearch/hermes-agent
Expert guidance for Fully Sharded Data Parallel training with PyTorch FSDP - parameter sharding, mixed precision, CPU offloading, FSDP2
- 100/100
pytorch-fsdp2
Orchestra-Research/AI-Research-SKILLs
Adds PyTorch FSDP2 (fully_shard) to training scripts with correct init, sharding, mixed precision/offload config, and distributed checkpointing. Use when models exceed single-GPU memory or when you need DTensor-based sharding with DeviceMesh.
- 100/100
pytorch-lightning
NousResearch/hermes-agent
High-level PyTorch framework with Trainer class, automatic distributed training (DDP/FSDP/DeepSpeed), callbacks system, and minimal boilerplate. Scales from laptop to supercomputer with same code. Use when you want clean training loops with built-in best practices.
- 100/100
pytorch-patterns
affaan-m/ECC
PyTorch deep learning patterns and best practices for building robust, efficient, and reproducible training pipelines, model architectures, and data loading.
- 100/100
pyvene-interventions
Orchestra-Research/AI-Research-SKILLs
Provides guidance for performing causal interventions on PyTorch models using pyvene's declarative intervention framework. Use when conducting causal tracing, activation patching, interchange intervention training, or testing causal hypotheses about model behavior.
- 100/100
pyzotero
K-Dense-AI/scientific-agent-skills
Interact with Zotero reference management libraries using the pyzotero Python client. Retrieve, create, update, and delete items, collections, tags, and attachments via the Zotero Web API v3. Use this skill when working with Zotero libraries programmatically, managing bibliographic references, exporting citations, searching library contents, uploading PDF attachments, or building research automation workflows that integrate with Zotero.
- 100/100
q-and-a-prep-partner
aipoch/medical-research-skills
Predict challenging questions for presentations and prepare structured responses.
- 80/100
qa
SethGammon/Citadel
>-
- 100/100
qa
browser-use/plugins
QA-test a website or web app and return a 1-5 quality score (5 = flawless, 1 = broken) with evidence. Use when the user wants to test, QA, evaluate, score, or "check how good" a site, page, flow, or app — including a local dev server (e.g. "qa test localhost:5173", "does the checkout work?", "rate this landing page"). Drives a real Browser Use cloud browser, tunneling localhost automatically.
- 100/100
qa-expert
daymade/claude-code-skills
This skill should be used when establishing comprehensive QA testing processes for any software project. Use when creating test strategies, writing test cases following Google Testing Standards, executing test plans, tracking bugs with P0-P4 classification, calculating quality metrics, or generating progress reports. Includes autonomous execution capability via master prompts and complete documentation templates for third-party QA team handoffs. Implements OWASP security testing and achieves 90% coverage targets.
- 100/100
qa-phase
popup-studio-ai/bkit-claude-code
|
- 100/100
qbr-deck
mohitagw15856/pm-claude-skills
Build a Quarterly Business Review (QBR) deck structure and narrative for a customer account. Use when asked to prepare a QBR, business review meeting, executive review, or quarterly check-in with a customer. Produces a slide-by-slide QBR structure with talking points, metrics review, value narrative, and mutual next steps.
- 100/100
qbr-plan
indranilbanerjee/digital-marketing-pro
Prepare a Quarterly Business Review. Use when: building QBR presentations, client performance reviews, or strategy updates.
- 100/100
qbr-preparation
guia-matthieu/clawfu-skills
Automate QBR preparation with account summaries, success metrics, challenges, and strategic recommendations
- 100/100
qdrant
mkurman/zorai
Qdrant — vector similarity search engine. Payload filtering, quantized indexing, multi-tenant, and horizontal scaling. REST and gRPC API. Docker-native deployment for production RAG and recommendation.
- 95/100
qdrant-clients-sdk
github/awesome-copilot
Qdrant provides client SDKs for various programming languages, allowing easy integration with Qdrant deployments.
- 100/100
qdrant-deployment-options
github/awesome-copilot
Guides Qdrant deployment selection. Use when someone asks 'how to deploy Qdrant', 'Docker vs Cloud', 'local mode', 'embedded Qdrant', 'Qdrant EDGE', 'which deployment option', 'self-hosted vs cloud', or 'need lowest latency deployment'. Also use when choosing between deployment types for a new project.
- 100/100
qdrant-horizontal-scaling
github/awesome-copilot
Diagnoses and guides Qdrant horizontal scaling decisions. Use when someone asks 'vertical or horizontal?', 'how many nodes?', 'how many shards?', 'how to add nodes', 'resharding', 'data doesn't fit', or 'need more capacity'. Also use when data growth outpaces current deployment.
- 100/100
qdrant-indexing-performance-optimization
github/awesome-copilot
Diagnoses and fixes slow Qdrant indexing and data ingestion. Use when someone reports 'uploads are slow', 'indexing takes forever', 'optimizer is stuck', 'HNSW build time too long', or 'data uploaded but search is bad'. Also use when optimizer status shows errors, segments won't merge, or indexing threshold questions arise.
- 100/100
qdrant-memory-usage-optimization
github/awesome-copilot
Diagnoses and reduces Qdrant memory usage. Use when someone reports 'memory too high', 'RAM keeps growing', 'node crashed', 'out of memory', 'memory leak', or asks 'why is memory usage so high?', 'how to reduce RAM?'. Also use when memory doesn't match calculations, quantization didn't help, or nodes crash during recovery.
- 100/100
qdrant-minimize-latency
github/awesome-copilot
Guides Qdrant query latency optimization. Use when someone asks 'search is slow', 'how to reduce latency', 'p99 is too high', 'tail latency', 'single query too slow', 'how to make search faster', or 'latency spikes'.
- 100/100
qdrant-model-migration
github/awesome-copilot
Guides embedding model migration in Qdrant without downtime. Use when someone asks 'how to switch embedding models', 'how to migrate vectors', 'how to update to a new model', 'zero-downtime model change', 'how to re-embed my data', or 'can I use two models at once'. Also use when upgrading model dimensions, switching providers, or A/B testing models.
- 100/100
qdrant-monitoring
github/awesome-copilot
Guides Qdrant monitoring and observability setup. Use when someone asks 'how to monitor Qdrant', 'what metrics to track', 'is Qdrant healthy', 'optimizer stuck', 'why is memory growing', 'requests are slow', or needs to set up Prometheus, Grafana, or health checks. Also use when debugging production issues that require metric analysis.
- 100/100
qdrant-monitoring-debugging
github/awesome-copilot
Diagnoses Qdrant production issues using metrics and observability tools. Use when someone reports 'optimizer stuck', 'indexing too slow', 'memory too high', 'OOM crash', 'queries are slow', 'latency spike', or 'search was fast now it's slow'. Also use when performance degrades without obvious config changes.
- 100/100
qdrant-monitoring-setup
github/awesome-copilot
Guides Qdrant monitoring setup including Prometheus scraping, health probes, Hybrid Cloud metrics, alerting, and log centralization. Use when someone asks 'how to set up monitoring', 'Prometheus config', 'Grafana dashboard', 'health check endpoints', 'how to scrape Hybrid Cloud', 'what alerts to set', 'how to centralize logs', or 'audit logging'.
- 100/100
qdrant-performance-optimization
github/awesome-copilot
Different techniques to optimize the performance of Qdrant, including indexing strategies, query optimization, and hardware considerations. Use when you want to improve the speed and efficiency of your Qdrant deployment.
- 100/100
qdrant-scaling
github/awesome-copilot
Guides Qdrant scaling decisions. Use when someone asks 'how many nodes do I need', 'data doesn't fit on one node', 'need more throughput', 'cluster is slow', 'too many tenants', 'vertical or horizontal', 'how to shard', or 'need to add capacity'.
- 100/100
qdrant-scaling-data-volume
github/awesome-copilot
Guides Qdrant data volume scaling decisions. Use when someone asks 'data doesn't fit on one node', 'too much data', 'need more storage', 'vertical or horizontal scaling', 'tenant scaling', 'time window rotation', or 'data growth exceeds capacity'.
- 100/100
qdrant-scaling-qps
github/awesome-copilot
Guides Qdrant query throughput (QPS) scaling. Use when someone asks 'how to increase QPS', 'need more throughput', 'queries per second too low', 'batch search', 'read replicas', or 'how to handle more concurrent queries'.
- 100/100
qdrant-scaling-query-volume
github/awesome-copilot
Guides Qdrant query volume scaling. Use when someone asks 'query returns too many results', 'scroll performance', 'large limit values', 'paginating search results', 'fetching many vectors', or 'high cardinality results'.
- 100/100
qdrant-search-quality
github/awesome-copilot
Diagnoses and improves Qdrant search relevance. Use when someone reports 'search results are bad', 'wrong results', 'low precision', 'low recall', 'irrelevant matches', 'missing expected results', or asks 'how to improve search quality?', 'which embedding model?', 'should I use hybrid search?', 'should I use reranking?'. Also use when search quality degrades after quantization, model change, or data growth.
- 100/100
qdrant-search-quality-diagnosis
github/awesome-copilot
Diagnoses Qdrant search quality issues. Use when someone reports 'results are bad', 'wrong results', 'not relevant results', 'missing matches', 'recall is low', 'approximate search worse than exact', 'which embedding model', or 'quality dropped after quantization'. Also use when search quality degrades without obvious changes.
- 100/100
qdrant-search-speed-optimization
github/awesome-copilot
Diagnoses and fixes slow Qdrant search. Use when someone reports 'search is slow', 'high latency', 'queries take too long', 'low QPS', 'throughput too low', 'filtered search is slow', or 'search was fast but now it's slow'. Also use when search performance degrades after config changes or data growth.
- 100/100
qdrant-search-strategies
github/awesome-copilot
Guides Qdrant search strategy selection. Use when someone asks 'should I use hybrid search?', 'BM25 or sparse vectors?', 'how to rerank?', 'results are not relevant', 'I don't get needed results from my dataset but they're there', 'retrieval quality is not good enough', 'results too similar', 'need diversity', 'MMR', 'relevance feedback', 'recommendation API', 'discovery API', 'ColBERT reranking', or 'missing keyword matches'
- 100/100
qdrant-sliding-time-window
github/awesome-copilot
Guides sliding time window scaling in Qdrant. Use when someone asks 'only recent data matters', 'how to expire old vectors', 'time-based data rotation', 'delete old data efficiently', 'social media feed search', 'news search', 'log search with retention', or 'how to keep only last N months of data'.
- 100/100
qdrant-tenant-scaling
github/awesome-copilot
Guides Qdrant multi-tenant scaling. Use when someone asks 'how to scale tenants', 'one collection per tenant?', 'tenant isolation', 'dedicated shards', or reports tenant performance issues. Also use when multi-tenant workloads outgrow shared infrastructure.
- 100/100
qdrant-vector-search
NousResearch/hermes-agent
High-performance vector similarity search engine for RAG and semantic search. Use when building production RAG systems requiring fast nearest neighbor search, hybrid search with filtering, or scalable vector storage with Rust-powered performance.
- 100/100
qdrant-version-upgrade
github/awesome-copilot
Guidance on how to upgrade your Qdrant version without interrupting the availability of your application and ensuring data integrity.
- 100/100
qdrant-vertical-scaling
github/awesome-copilot
Guides Qdrant vertical scaling decisions. Use when someone asks 'how to scale up a node', 'need more RAM', 'upgrade node size', 'vertical scaling', 'resize cluster', 'scale up vs scale out', or when memory/CPU is insufficient on current nodes. Also use when someone wants to avoid the complexity of horizontal scaling.
- 100/100
qiita
vm0-ai/vm0-skills
Qiita API for Japanese tech articles. Use when user mentions "Qiita",
- 100/100
qiskit
K-Dense-AI/scientific-agent-skills
IBM quantum computing framework. Use when targeting IBM Quantum hardware, working with Qiskit Runtime for production workloads, or needing IBM optimization tools. Best for IBM hardware execution, quantum error mitigation, and enterprise quantum computing. For Google hardware use cirq; for gradient-based quantum ML use pennylane; for open quantum system simulations use qutip.
- 100/100
qiskit-v2
diegosouzapw/awesome-omni-skills
Qiskit workflow skill. Use this skill when the user needs Qiskit is the world's most popular open-source quantum computing framework with 13M+ downloads. Build quantum circuits, optimize for hardware, execute on simulators or real quantum computers, and analyze results. Supports IBM Quantum (100+ qubit systems), IonQ, Amazon Braket, and other providers and the operator should preserve the upstream workflow, copied support files, and provenance before merging or handing off.
- 95/100
qmd
NousResearch/hermes-agent
Search personal knowledge bases, notes, docs, and meeting transcripts locally using qmd — a hybrid retrieval engine with BM25, vector search, and LLM reranking. Supports CLI and MCP integration.
- 95/100
qmd-extended
aAAaqwq/AGI-Super-Team
Extended QMD knowledge base with multi-backend embedding (Google AI Studio / Ollama / local). Use when managing QMD embeddings, switching backends, testing embedding quality, re-indexing, or troubleshooting QMD vector search. Triggers on "qmd embed", "embedding backend", "切换embedding", "embedding测试", "re-embed", "知识库embedding", "qmd扩展". For general QMD queries and knowledge retrieval, use memory-router skill instead.
- 100/100
qmd-knowledge
jellydn/my-ai-tools
Project-specific knowledge management system using qmd MCP server. Captures learnings, issue notes, and conventions in a searchable knowledge base.
- 100/100
qms-audit-expert
alirezarezvani/claude-skills
ISO 13485 internal audit expertise for medical device QMS. Covers audit planning, execution, nonconformity classification, and CAPA verification. Use when planning internal audits, executing audits, classifying findings, preparing for external audits, or managing an audit program.
- 100/100
qp-formulation
NVIDIA/skills
Quadratic Programming (QP) — problem form and constraints. Domain concepts; no API or interface. QP is beta.
- 100/100
qq-email-operator
aAAaqwq/AGI-Super-Team
QQ邮箱操作技能。支持通过 IMAP/SMTP 读取邮件、搜索邮件、回复邮件、发送邮件。凭据通过 pass 安全存储。
- 100/100
qqbot-channel
openclaw/openclaw
QQ channel management skill. Use qqbot_channel_api to list guilds and channels, inspect members, publish posts, manage announcements, and work with schedules through the QQ Open Platform HTTP API with automatic token authentication.
- 100/100
qqbot-media
openclaw/openclaw
QQBot rich media send and receive support. Use <qqmedia> tags to send image, voice, video, or file attachments, with the media type inferred from the file extension.
- 100/100
qqbot-remind
openclaw/openclaw
QQBot scheduled reminders. Create, list, and cancel one-time or recurring reminders when a QQ conversation involves reminders, alarms, or scheduled tasks.
- 100/100
qr-code-generator
manojbajaj95/claude-gtm-plugin
Generate QR codes with URLs and UTM tracking. Exports PNG/SVG with captions. Use for single codes, batch generation, or marketing campaigns with tracking parameters.
- 80/100
qrcoin
BankrBot/skills
Interact with QR Coin auctions on Base. Use when the user wants to participate in qrcoin.fun QR code auctions — check auction status, view current bids, create new bids, or contribute to existing bids. QR Coin lets you bid to display URLs on QR codes; the highest bidder's URL gets encoded.
- 100/100
qtl-colocalization-study-planner
aipoch/medical-research-skills
Designs QTL colocalization studies that connect eQTL, pQTL, sQTL, or related molecular QTL signals with GWAS loci. Always use this skill whenever a user wants to plan, scope, or structure a locus-level study asking whether a GWAS association and a molecular QTL association may reflect the same underlying causal signal. Covers locus definition, QTL/GWAS source architecture, ancestry and LD alignment, single-locus vs multi-locus strategy, candidate-gene prioritization, optional fine-mapping, linked MR/SMR follow-up, and functional annotation. Always output four workload configurations (Lite / Standard / Advanced / Publication+) with a recommended primary plan, stepwise workflow, method rationale, evidence hierarchy, figure plan, minimal executable version, and strictly verified literature guidance with no fabricated references. Never equate colocalization with causality proof, mediation proof, or automatic target validation. Always include the mandatory Dataset Disclaimer immediately before any workflow section that mentions datasets, repositories, consortia, or public resources.
- 100/100
quadas-c-assessment-for-diagnostic-accuracy-studies
aipoch/medical-research-skills
Automated bias assessment for diagnostic accuracy studies using QUADAS-C criteria. Requires full text input.
- 100/100
quaderno-automation
ComposioHQ/awesome-claude-skills
"Automate Quaderno tasks via Rube MCP (Composio). Always search tools first for current schemas."
- 100/100
qualaroo-automation
ComposioHQ/awesome-claude-skills
"Automate Qualaroo tasks via Rube MCP (Composio). Always search tools first for current schemas."
- 100/100
quality
H-mmer/pentest-agents
Score a report draft before submission. Usage: /quality <draft-path-or-finding-description>
- 100/100
quality-assessment
yogsoth-ai/de-anthropocentric-research-engine
Methodological rigor scoring for papers — evaluates bias risk, reproducibility, sample adequacy using established frameworks. Used by systematic-survey.
- 100/100
quality-assessment-protocol
yogsoth-ai/de-anthropocentric-research-engine
Methodological quality and bias risk assessment of included studies using validated tools
- 100/100
quality-check
H-mmer/pentest-agents
Report quality scorer. Use BEFORE submitting any report to validate completeness, clarity, title strength, CVSS accuracy, PoC quality, and overall report grade. Provide the draft report path or content.
- 100/100
quality-documentation-manager
alirezarezvani/claude-skills
Document control system management for medical device QMS. Covers document numbering, version control, change management, and 21 CFR Part 11 compliance. Use when working on document control procedures, change control workflows, document numbering, version management, electronic signature compliance, or regulatory documentation review.
- 100/100
quality-engineering-appium-mcp
HoangNguyen0403/agent-skills-standard
Drives iOS/Android mobile devices via Appium MCP. Use for verifying mobile bugs, E2E tests, and navigating real device clouds (LambdaTest/BrowserStack).
- 100/100
quality-engineering-business-analysis
HoangNguyen0403/agent-skills-standard
Investigate requirements with atomic AC decomposition, actor/permission matrix, platform parity audit, truth table verification, and edge case discovery. Also enforces User Story authoring standards: story structure, scope fences, platform tags, toggle contracts, market isolation, and deferral patterns. Use when writing, reviewing, or improving User Stories, acceptance criteria, or doing impact analysis — especially for stories with multi-condition AC, feature toggles, market variants (VN/MY/SG), or undefined platform behavior.
- 100/100
quality-engineering-jira-integration
HoangNguyen0403/agent-skills-standard
Jira ↔ Zephyr traceability: fetch story AC and components, detect existing TC links, link new Zephyr TCs back to Jira, and apply has-zephyr-tests labels. Use after creating Zephyr test cases that need linking, when fetching a Jira story's details for test generation, or when auditing and cleaning up stale TC links.
- 100/100
quality-engineering-playwright-cli
HoangNguyen0403/agent-skills-standard
Standardizes token-efficient browser automation via playwright-cli. Use for web verification, navigation, and capturing snapshots/logs.
- 100/100
quality-engineering-quality-assurance
HoangNguyen0403/agent-skills-standard
Write manual test cases with 1-condition-per-TC granularity, Module_Action on Screen when Condition naming, platform prefix rules, and High/Normal/Low priority classification. Use when writing or reviewing manual test cases for Zephyr — to split compound TCs, fix naming violations, assign correct platform tags, or determine bug priority.
- 100/100
quality-engineering-zephyr-coverage-analysis
HoangNguyen0403/agent-skills-standard
Audit test coverage health, gaps, and QE debt for Jira stories or epics. Produces coverage_analysis_report.md with AC-to-TC heatmap, risk scores, and prioritized action plan. Use when assessing coverage percentage, pre-release readiness, sprint readiness, or identifying missing test cases. Do NOT use for TC creation — use zephyr-test-generation instead.
- 100/100
quality-engineering-zephyr-test-generation
HoangNguyen0403/agent-skills-standard
Generate Zephyr test cases from Jira stories: parse AC, identify platform and market, impact-analyze existing TCs (update vs create new), draft test cases with correct naming/metadata/preconditions, and link back via Create Test Case Issue Link. Use when converting a Jira story into Zephyr TCs, or when requirement changes require updating existing TCs rather than creating duplicates.
- 100/100
quality-gate-check
yogsoth-ai/de-anthropocentric-research-engine
Shared SOP: 通用质量门检查(格式完整性、逻辑一致性)
- 100/100
quality-gates
yonatangross/orchestkit
Use when assessing task complexity, before starting complex tasks, when stuck after multiple attempts, or reviewing code against best practices. Provides quality-gates scoring (1-5), escalation workflows, and pattern library management.
- 100/100
quality-manager-qmr
alirezarezvani/claude-skills
Senior Quality Manager Responsible Person (QMR) for HealthTech and MedTech companies. Provides quality system governance, management review leadership, regulatory compliance oversight, and quality performance monitoring per ISO 13485 Clause 5.5.2. Use when leading management reviews, setting quality policy and objectives, monitoring quality KPIs and cost of quality, or exercising QMR governance and regulatory oversight responsibilities.
- 100/100
quality-manager-qms-iso13485
alirezarezvani/claude-skills
ISO 13485 Quality Management System implementation and maintenance for medical device organizations. Provides QMS design, documentation control, internal auditing, CAPA management, and certification support. Use when working with medical device quality systems, preparing for ISO 13485 audits, managing regulatory compliance documentation, setting up corrective actions, or building audit preparation programs. Useful for quality management, audit preparation, regulatory compliance, medical device documentation, and corrective action workflows.
- 100/100
quality-nonconformance
affaan-m/ECC
>
- 100/100
quality-nonconformance-v2
diegosouzapw/awesome-omni-skills
Quality & Non-Conformance Management workflow skill. Use this skill when the user needs Codified expertise for quality control, non-conformance investigation, root cause analysis, corrective action, and supplier quality management in regulated manufacturing and the operator should preserve the upstream workflow, copied support files, and provenance before merging or handing off.
- 100/100
quality-playbook
github/awesome-copilot
Run a complete quality engineering audit on any codebase. Derives behavioral requirements from the code, generates spec-traced functional tests, runs a three-pass code review with regression tests, executes a multi-model spec audit (Council of Three), and produces a consolidated bug report with TDD-verified patches. Finds the 35% of real defects that structural code review alone cannot catch. Works with any language. Trigger on 'quality playbook', 'spec audit', 'Council of Three', 'fitness-to-purpose', or 'coverage theater'.
- 100/100
quality-report
indranilbanerjee/digital-marketing-pro
Generate quality trends report. Use when: reviewing eval scores over time, content type performance, or regression alerts.
- 100/100
quality-scoring
yogsoth-ai/de-anthropocentric-research-engine
Multi-dimensional patent quality assessment — forward citations, family size, claim count, geographic breadth
- 100/100
quality-tools
TheBeardedBearSAS/claude-craft
Outils de qualité - Atoll Tourisme. Use when setting up quality tools or CI.
- 100/100
quant-analyst
diegosouzapw/awesome-omni-skills
quant-analyst workflow skill. Use this skill when the user needs Build financial models, backtest trading strategies, and analyze market data. Implements risk metrics, portfolio optimization, and statistical arbitrage and the operator should preserve the upstream workflow, copied support files, and provenance before merging or handing off.
- 100/100
quant-analyst-v2
diegosouzapw/awesome-omni-skills
quant-analyst workflow skill. Use this skill when the user needs Build financial models, backtest trading strategies, and analyze market data. Implements risk metrics, portfolio optimization, and statistical arbitrage and the operator should preserve the upstream workflow, copied support files, and provenance before merging or handing off.
- 100/100
quant-statistics
HKUDS/Vibe-Trading
Quantitative statistical methods: ADF unit-root / cointegration tests, GARCH volatility modeling, regression diagnostics (heteroskedasticity / autocorrelation), Bootstrap, and hypothesis testing.
- 100/100
quantizing-models-bitsandbytes
Orchestra-Research/AI-Research-SKILLs
Quantizes LLMs to 8-bit or 4-bit for 50-75% memory reduction with minimal accuracy loss. Use when GPU memory is limited, need to fit larger models, or want faster inference. Supports INT8, NF4, FP4 formats, QLoRA training, and 8-bit optimizers. Works with HuggingFace Transformers.
- 100/100
quantlib-python
mkurman/zorai
QuantLib Python bindings for quantitative finance. Pricing and risk analytics for fixed income, equity, FX, credit derivatives, and structured products. Yield curves, options, swaps, bonds, and Monte Carlo simulation.
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