后端与 API
后端服务、API、Webhook 和服务端工具
Skills 列表

debugging-and-error-recovery
指导系统性的根因调试。当测试失败、构建中断、行为不符合预期或遇到任何意外错误时使用。当你需要系统性地查找并修复根本原因而非猜测时使用。
addyosmani
api-and-interface-design
指导稳定的 API 和接口设计。适用于设计 API、模块边界或任何公共接口。适用于创建 REST 或 GraphQL 端点、定义模块间的类型契约,或建立前后端之间的边界。
addyosmani
caveman-compress
将自然语言记忆文件(CLAUDE.md、待办事项、偏好设置等)压缩为“穴居人(caveman)”极简格式,以节省输入 Token。完全保留所有技术干货、代码、URL 及结构。压缩版本将直接覆盖原文件,同时保存一份可读性强的备份为 FILE.original.md。触发词:/caveman-compress <文件路径> 或“压缩记忆文件”。
juliusbrussee
agent-dev-backend-api
Agent skill for dev-backend-api - invoke with $agent-dev-backend-api
ruvnet
openspec-bulk-archive-change
Archive multiple completed changes at once. Use when archiving several parallel changes.
fission-ai
mem0-cli
Mem0 CLI -- the command-line interface for mem0 memory operations. TRIGGER when: user mentions "mem0 cli", "mem0 command line", "@mem0/cli", "mem0-cli", "pip install mem0-cli", "npm install -g @mem0/cli", or is running mem0 commands in a terminal/shell (mem0 add, mem0 search, mem0 list, mem0 get, mem0 init, mem0 config, mem0 import). Also triggers when query includes CLI flags like --user-id, --output, --json, --agent, or describes bash/zsh/terminal/shell usage. DO NOT TRIGGER when: user asks about programmatic SDK integration in Python/TS code (use mem0 skill), or Vercel AI SDK provider (use mem0-vercel-ai-sdk skill).
mem0ai
api-security-testing
Security-test a REST, GraphQL, or gRPC API with Strix — autonomous agents that enumerate endpoints from an OpenAPI/GraphQL schema (or by crawling), then actually exploit the API-specific vulnerability classes in the OWASP API Security Top 10 (2023) — broken object-level authorization (BOLA/IDOR), broken object property level authorization (excessive data exposure and mass assignment), broken function-level authorization, unrestricted resource consumption, SSRF, injection, and auth/token flaws. Every finding comes with a working proof-of-concept request. Use when the user asks to pentest, security-test, audit, or find vulnerabilities in an API, endpoint, or backend service.
usestrix
shopify-apps
Expert patterns for Shopify app development including Remix/React
sickn33
gh
Patterns for invoking the GitHub CLI (gh) from agents. Covers structured output, pagination, repo targeting, search vs list, gh api fallback.
cli
inngest
Inngest expert for serverless-first background jobs, event-driven
sickn33
gitnexus-refactoring
Use when the user wants to rename, extract, split, move, or restructure code safely. Examples: \"Rename this function\", \"Extract this into a module\", \"Refactor this class\", \"Move this to a separate file\"
abhigyanpatwari
gitnexus-debugging
Use when the user is debugging a bug, tracing an error, or asking why something fails. Examples: \"Why is X failing?\", \"Where does this error come from?\", \"Trace this bug\"
abhigyanpatwari
api-patterns
API design principles and decision-making. REST vs GraphQL vs tRPC selection, response formats, versioning, pagination.
sickn33
workflow-automation
Workflow automation is the infrastructure that makes AI agents
sickn33
backend-dev-guidelines
You are a senior backend engineer operating production-grade services under strict architectural and reliability constraints. Use when routes, controllers, services, repositories, express middleware, or prisma database access.
sickn33
shopify-development
Build Shopify apps, extensions, themes using GraphQL Admin API, Shopify CLI, Polaris UI, and Liquid.
sickn33
api-documentation-generator
Generate comprehensive, developer-friendly API documentation from code, including endpoints, parameters, examples, and best practices
sickn33
telegram-bot-builder
Expert in building Telegram bots that solve real problems - from
sickn33
api-documentation-generator
Generate comprehensive, developer-friendly API documentation from code, including endpoints, parameters, examples, and best practices
sickn33
telegram-bot-builder
构建解决实际问题的Telegram机器人的专家——从简单自动化到复杂的AI驱动机器人。涵盖机器人架构、Telegram Bot API、用户体验、变现策略以及将机器人扩展到数千用户。
sickn33
qutip
Simulate and audit closed and open quantum-system models with QuTiP 5, including deterministic, trajectory, steady-state, spectral, and phase-space workflows. Use for local quantum-dynamics work where physical assumptions, dimensions, and numerical convergence must be explicit.
k-dense-ai
modal
Modal is a serverless cloud platform for running Python on demand, including on-demand GPUs. Use when deploying or serving AI/ML models, running GPU-accelerated workloads (training, fine-tuning, inference), serving web endpoints, scheduling batch jobs, or scaling Python code to cloud containers with the Modal SDK.
k-dense-ai
phylogenetics
Build and analyze phylogenetic trees using MAFFT (multiple alignment), IQ-TREE 2 (maximum likelihood), and FastTree (fast NJ/ML). Visualize with ETE3 or FigTree. For evolutionary analysis, microbial genomics, viral phylodynamics, protein family analysis, and molecular clock studies.
k-dense-ai
depmap
Query the Cancer Dependency Map (DepMap) for cancer cell line gene dependency scores (CRISPR Chronos), drug sensitivity data, and gene effect profiles. Use for identifying cancer-specific vulnerabilities, synthetic lethal interactions, and validating oncology drug targets.
k-dense-ai