The open format is called Agent Skills and works in Claude Code, Codex, Cursor and other agents — most people know it as Claude Skills.
Every Agent Skill we could find on GitHub, deduplicated by content. 79 354 files from 1 739 authors, of which 61 713 are unique — the rest is the same skill repackaged into someone else's repository. For each one: what it weighs in tokens, whether it ships runnable scripts, and which MCP servers it needs.
快照管理
Azure CLI 操作
PostgreSQL 数据库管理
Elasticsearch 集群管理
Redis 数据库管理
SQL 优化与调优
Google Cloud CLI 操作
MongoDB 数据库管理
MySQL 数据库管理与运维
Ansible 自动化运维
Git 高级操作
CI/CD 流水线配置
Docker Compose 编排
Terraform 基础设施即代码
Docker 容器操作与管理
监控与告警
Dockerfile 编写最佳实践
Docker 镜像管理
Docker 容器网络
Kubernetes ConfigMap 与 Secret
Kubernetes Deployment 管理
kubectl 基础操作与常用命令
Helm 包管理
Kubernetes Pod 管理与调试
Kubernetes Service 与 Ingress
Kubernetes 故障排查
Linux file and directory operations
Linux network tools and diagnostics
Linux process management and control
Bash Shell 脚本编写
Linux system administration and monitoring
Linux user and permission management
DNS 配置与排查
负载均衡配置
流量分析与抓包
代理服务器配置
TCP/IP 网络诊断与排查
VPN 配置与管理
OpenClaw 运维与故障修复
OpenClaw 配置管理
OpenClaw 安装与部署
OpenClaw 问题排查与诊断
性能基准测试
性能问题排查
性能分析
防火墙配置
安全审计
系统调优
系统加固
SSL/TLS 证书
Apache HTTP Server 配置
定时任务管理
日志分析与处理
SSH 管理与安全
Systemd 服务管理
Nginx configuration and optimization
In-session, token-efficient LLM security scan of a repo (SAST triage). A lightweight, native Claude Code pipeline — survey → threat-model → deep-dive → adversarial-verify → report — using Read/Grep/Glob (and optional subagents), no external tooling. Use when asked to "security scan", "find vulnerabilities", "SAST", "audit this code for security", or "secscan".
> problems, designing ML/AI experiments, reading papers, building experiment loops, analyzing outputs, writing research notes, or turning vague curiosity into a disciplined research plan. Emphasizes avoiding absorbed problems, upgrading information inputs beyond shared reading lists, and reasoning backward from outcomes the researcher genuinely wants to exist.
| Kamae (構え) — robust server-side TypeScript design. Functional domain modeling with discriminated unions, pure state transitions, Result types, schema-validated boundaries, and PII protection. error handling, boundary validation, or PII handling on the server side; designing types for business logic; implementing entity/value-object semantics in TS. pure infrastructure-as-code; code unrelated to domain logic.
| Adversarial code review of server-side TypeScript for adherence to the kamae principles (discriminated unions, branded types, Result error handling, boundary validation, PII protection). involving domain models, repositories, use cases, business logic, or boundary code. unrelated to domain logic.
Answers built from the skills we actually parsed.