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Agent Skills in category: Uncategorized

72244 skills match this category. Browse curated collections and explore related Agent Skills.

project-structure-validator

压力测试STRUCT文件,验证模块化分解的可行性。当项目结构确定后使用,确保模块边界清晰。

tikazyq
tikazyq
51

registry-consistency-check

审计spec_artifacts_registry.md的Stage 3条目一致性,确保AICTXT/GOAL/SC等都已注册。当IMPLEMENTATION artifact创建完成后使用。

tikazyq
tikazyq
51

security-test-generator

基于NFR安全要求,生成STRIDE/OWASP威胁模型和测试场景。L3级别专用,当设计和需求确认后使用。

tikazyq
tikazyq
51

test-pyramid-advisor

分析unit/integration/e2e测试分配比例,建议60/30/10比例平衡。当AICTXT/测试策略确定后使用,优化测试执行效率和覆盖质量。

tikazyq
tikazyq
51

ac-to-examples

将抽象的Acceptance Criteria(Given-When-Then)转换为具体的数值示例和真实对话,让AC对PM/客户/测试人员更易懂。适合在AC编写完成后、准备测试或向客户展示时使用,当AC格式正确但过于抽象时。帮助不熟悉BDD的PM/BA/测试人员理解测试场景,让AC从抽象规则变成可直接用于手动测试的具体步骤。

tikazyq
tikazyq
51

acceptance-criteria

检查Acceptance Criteria格式和完整性,验证是否符合Given-When-Then结构、覆盖正常流程/边界条件/异常场景。适合在为User Story编写AC后、准备测试用例前使用,当需要验收AC质量时。帮助不熟悉BDD的PM/BA确保AC明确、可测试、覆盖完整,避免遗漏关键场景。

tikazyq
tikazyq
51

interview-to-us

将访谈记录、会议纪要、邮件沟通等非结构化内容快速转换为符合CRAFT标准的User Story草稿。适合在需求调研阶段使用,当有大量访谈笔记需要结构化时。帮助不会写US的PM/BA快速上手,从自然语言访谈记录自动提取As-Want-So结构,节省手动整理时间(1小时→10分钟)。

tikazyq
tikazyq
51

nfr-to-user-impact

将技术性的NFR(非功能需求)约束转换为用户能感知的影响描述,用业务语言解释技术约束的价值。适合在NFR定义完成后、需要向客户或管理层解释时使用,当NFR过于技术化时。帮助不熟悉技术术语的PM/客户/BA理解NFR的业务意义,让技术约束变得亲切易懂。

tikazyq
tikazyq
51

us-enrich-context

为精炼的User Story增加真实场景描述、用户心理和具体对话,让US对PM/客户更亲切易懂。适合在US初稿完成后、需要向客户展示理解或准备验收时使用,当US格式正确但缺乏场景感时。帮助不熟悉敏捷的PM/BA、需要对外沟通的团队,通过丰富的场景感让需求文档更容易被理解和接受。

tikazyq
tikazyq
51

us-readability-check

检查User Story是否对非技术人员友好,检测技术术语残留、过于精炼的表达、缺乏场景感等问题。适合在US初稿完成后、准备提交验收前使用,当需要质量检查时。帮助敏捷新手自我检查,知道自己写的US哪里需要改进,给出具体可操作的改进建议。

tikazyq
tikazyq
51

user-story-format

验证User Story格式和质量,检查是否符合As-I-Want-So三要素结构、角色明确、功能具体、价值清晰。适合在编写新US后、准备Sprint Planning前使用,当需要审核US质量时。帮助不熟悉敏捷的PM/BA识别格式问题、模糊角色、缺失价值等常见问题,确保US可理解、可排序、可开发。

tikazyq
tikazyq
51

embedded-thinking

提供嵌入式系统软硬件协同思考框架,涵盖硬件层、软件架构、资源约束、实时性、测试调试五大维度。当需要设计嵌入式应用、评审物联网系统、或需要全局视角审视 MCU/MPU 与软件配合时使用。支持裸机/RTOS 选型、功耗优化、内存预算、中断响应、OTA 升级等嵌入式特有场景决策。

tikazyq
tikazyq
51

microservice-thinking

提供微服务分布式架构思考框架,涵盖服务拆分、通信机制、基础设施、治理策略、可观测性五大维度。当需要设计微服务系统、评审分布式架构、或需要全局视角审视服务边界与协同时使用。支持 DDD 领域建模、同步/异步通信、API Gateway、服务网格、熔断降级等分布式系统关键决策。

tikazyq
tikazyq
51

mobile-app-thinking

提供移动应用全链路架构思考框架,涵盖技术选型、离线同步、平台适配、性能优化、发布流程五大维度。当需要设计移动 APP、评审客户端架构、或需要全局视角审视原生/跨平台方案时使用。支持 Native/React Native/Flutter、推送通知、数据同步、iOS/Android 双平台等移动端特有场景决策。

tikazyq
tikazyq
51

web-app-thinking

提供网页应用全栈架构思考框架,涵盖前端渲染策略、后端 API 设计、基础设施部署、安全防护、性能优化五大维度。当需要设计完整 Web 应用、评审网页系统架构、或需要全局视角审视前后端协同设计时使用。支持 SPA/MPA、SSR/CSR、REST/GraphQL、容器/Serverless 等多种技术栈决策。

tikazyq
tikazyq
51

radar-tinder-mobileapp-testing

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albertfast
albertfast
0

bitcoin-wallet

Use when implementing Bitcoin wallet features - provides complete architecture for on-chain Bitcoin transactions, UTXO management, address derivation from Nostr keys, and transaction handling with proper security patterns

PerceptLabs
PerceptLabs
0

cashu-wallet

Use when implementing Cashu token wallet functionality - provides complete patterns for sending and receiving Cashu tokens, token QR codes, automatic mint management, and integrating with Lightning wallet operations

PerceptLabs
PerceptLabs
0

emoji-encoder

Use when implementing steganographic text encoding using Unicode Variation Selectors - allows encoding any message invisibly into emojis, letters, or any characters using Unicode Variation Selectors (U+FE00-U+FE0F and U+E0100-U+E01EF)

PerceptLabs
PerceptLabs
0

exchange-rates

Use when implementing exchange rate functionality - provides complete patterns for fetching BTC/fiat exchange rates from Coinbase API, caching strategies, conversion utilities, and React hooks for displaying rates in UI

PerceptLabs
PerceptLabs
0

lightning-address

Use when implementing Lightning address functionality - provides complete patterns for resolving Lightning addresses to invoices, generating invoices from addresses, displaying Lightning addresses in UI, and integrating with QR codes

PerceptLabs
PerceptLabs
0

lightning-invoice-decoder

Use when implementing BOLT11 Lightning invoice decoding - provides complete patterns for decoding invoice amounts, validating invoice format, and extracting satoshi values from Lightning invoices

PerceptLabs
PerceptLabs
0

lightning-wallet

Use when implementing a standalone Lightning wallet using Cashu mints - provides complete patterns for minting (receiving Lightning payments), melting (sending Lightning payments), mint management, transaction history, and integrating with Lightning addresses and invoices

PerceptLabs
PerceptLabs
0

lsb-steganography

Use when implementing Least Significant Bit (LSB) steganography - allows hiding images or text within other images by encoding data in the least significant bits of pixel color channels

PerceptLabs
PerceptLabs
0

nostr-wallet-connect

Use when implementing Nostr Wallet Connect (NIP-47) wallet service - provides complete patterns for generating NWC connection strings, publishing info events, listening for requests, processing wallet commands, and sending encrypted responses. Client-side patterns included for reference.

PerceptLabs
PerceptLabs
0

npub-cash-address

Use when implementing npub.cash static Lightning address functionality - provides complete patterns for obtaining static Lightning addresses (username@npubx.cash), managing npub.cash account settings, syncing quotes from npub.cash, and integrating with Lightning wallets

PerceptLabs
PerceptLabs
0

qr-code-generator

Use when implementing QR code generation - provides complete patterns for generating QR codes from text/URLs, displaying QR codes in modals, and customizing QR code appearance

PerceptLabs
PerceptLabs
0

qr-code-scanner

Use when implementing QR code scanning - provides complete patterns for camera-based scanning, classifying scanned content (Bitcoin addresses, Lightning invoices, npubs, Cashu tokens), handling camera permissions, and paste from clipboard functionality

PerceptLabs
PerceptLabs
0

unityaiforge

AI-powered Unity development toolkit with Model Context Protocol integration

kuroyasouiti
kuroyasouiti
0

phantom-scribe

Kickstart and maintain a fast-paced fiction project from a thumbnail using Harmon Story Circle + Crouch-style chapter momentum. Use when the user asks for help writing a story/novel, wants beat sheets, chapter plans, Blake Crouch pacing, or wants canon/timeline guardrails for high-concept sci-fi/fantasy.

barnstorm
barnstorm
0

hook-factory

Generate production-ready Claude Code hooks with interactive Q&A, automated installation, and enhanced validation. Supports 10 templates across 7 event types for comprehensive workflow automation.

48Nauts-Operator
48Nauts-Operator
3

hugging-face-space-deployer

Create, configure, and deploy Hugging Face Spaces for showcasing ML models. Supports Gradio, Streamlit, and Docker SDKs with templates for common use cases like chat interfaces, image generation, and model comparisons.

48Nauts-Operator
48Nauts-Operator
3

implement-paper-from-scratch

Guides you through implementing a research paper step-by-step from scratch. Use when asked to implement a paper, code up a paper, reproduce research results, or build a model from a paper. Focuses on building understanding through implementation with checkpoint questions.

48Nauts-Operator
48Nauts-Operator
3

ios-app-icon-generator

Generates a complete iOS app icon set with all required sizes. Use when asked to create an app icon, design an iOS icon, generate app store artwork, or make an icon for an iPhone/iPad app. Follows a philosophy-first approach - first defining the visual identity and concept, then producing production-ready icons.

48Nauts-Operator
48Nauts-Operator
3

gitops-workflow

Implement GitOps workflows with ArgoCD and Flux for automated, declarative Kubernetes deployments with continuous reconciliation. Use when implementing GitOps practices, automating Kubernetes deployments, or setting up declarative infrastructure management.

48Nauts-Operator
48Nauts-Operator
3

helm-chart-scaffolding

Design, organize, and manage Helm charts for templating and packaging Kubernetes applications with reusable configurations. Use when creating Helm charts, packaging Kubernetes applications, or implementing templated deployments.

48Nauts-Operator
48Nauts-Operator
3

k8s-manifest-generator

Create production-ready Kubernetes manifests for Deployments, Services, ConfigMaps, and Secrets following best practices and security standards. Use when generating Kubernetes YAML manifests, creating K8s resources, or implementing production-grade Kubernetes configurations.

48Nauts-Operator
48Nauts-Operator
3

k8s-security-policies

Implement Kubernetes security policies including NetworkPolicy, PodSecurityPolicy, and RBAC for production-grade security. Use when securing Kubernetes clusters, implementing network isolation, or enforcing pod security standards.

48Nauts-Operator
48Nauts-Operator
3

embedding-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.

48Nauts-Operator
48Nauts-Operator
3

hybrid-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.

48Nauts-Operator
48Nauts-Operator
3

langchain-architecture

Design LLM applications using the LangChain framework with agents, memory, and tool integration patterns. Use when building LangChain applications, implementing AI agents, or creating complex LLM workflows.

48Nauts-Operator
48Nauts-Operator
3

llm-evaluation

Implement comprehensive evaluation strategies for LLM applications using automated metrics, human feedback, and benchmarking. Use when testing LLM performance, measuring AI application quality, or establishing evaluation frameworks.

48Nauts-Operator
48Nauts-Operator
3

prompt-engineering-patterns

Master advanced prompt engineering techniques to maximize LLM performance, reliability, and controllability in production. Use when optimizing prompts, improving LLM outputs, or designing production prompt templates.

48Nauts-Operator
48Nauts-Operator
3

rag-implementation

Build Retrieval-Augmented Generation (RAG) systems for LLM applications with vector databases and semantic search. Use when implementing knowledge-grounded AI, building document Q&A systems, or integrating LLMs with external knowledge bases.

48Nauts-Operator
48Nauts-Operator
3

similarity-search-patterns

Implement efficient similarity search with vector databases. Use when building semantic search, implementing nearest neighbor queries, or optimizing retrieval performance.

48Nauts-Operator
48Nauts-Operator
3

vector-index-tuning

Optimize vector index performance for latency, recall, and memory. Use when tuning HNSW parameters, selecting quantization strategies, or scaling vector search infrastructure.

48Nauts-Operator
48Nauts-Operator
3

mcp-builder

Build MCP servers for integrating external APIs with AI agents

48Nauts-Operator
48Nauts-Operator
3

ml-pipeline-workflow

Build end-to-end MLOps pipelines from data preparation through model training, validation, and production deployment. Use when creating ML pipelines, implementing MLOps practices, or automating model training and deployment workflows.

48Nauts-Operator
48Nauts-Operator
3

paper-to-intuition

Transforms an academic paper into deep, multi-layered understanding. Use when asked to explain a paper, break down a research paper, understand an arXiv paper, or build intuition for a technical concept from a paper. Generates explanations at multiple levels plus visual intuition diagrams.

48Nauts-Operator
48Nauts-Operator
3

pdf

Comprehensive PDF manipulation toolkit for extracting text and tables, creating new PDFs, merging/splitting documents, and handling forms. Use when filling PDF forms or programmatically processing, generating, or analyzing PDF documents.

48Nauts-Operator
48Nauts-Operator
3

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