技能目录

为 AI Agent 发现可复用技能。

按任务搜索真实的 GitHub 技能,并在使用前查看 Stars、信任、审计、分类和安装路径。

每个推荐都保留与其仓库、审计和安装路径的明确关联。

搜索结果: haar-cascade

英文目录

Reverse-lookup glossary that turns a vague description of a web animation or motion effect into its exact term ("the bouncy thing when a popover opens" → Pop in; "the iOS rubber-band scroll" → Rubber-banding). Use when the user asks "what's it called when…", or describes a motion effect without knowing its name and wants the right word to prompt an AI or designer with. For naming an effect, not designing or building one.

17K
Stars
87/100
信任
分类: design-creative审计

Implements GraphQL APIs in Golang using gqlgen or graphql-go. Apply when building GraphQL servers, designing schemas, writing resolvers, handling subscriptions, or integrating GraphQL with existing Go HTTP services. Also apply when the codebase imports `github.com/99designs/gqlgen` or `github.com/graph-gophers/graphql-go`.

3.0K
Stars
72/100
信任
分类: design-creative审计

[ACL 2020] A Novel Cascade Binary Tagging Framework for Relational Triple Extraction

814
Stars
65/100
信任
分类: rag-knowledge审计

Use when an Agent needs to capture, find, update, finish, cancel, or reopen durable deferred work in LWC.

47
Stars
57/100
信任
分类: coding-agents审计

Deep Learning Summer School + Tensorflow + OpenCV cascade training + YOLO + COCO + CycleGAN + AWS EC2 Setup + AWS IoT Project + AWS SageMaker + AWS API Gateway + Raspberry Pi3 Ubuntu Core

173
Stars
57/100
信任
分类: robotics-iot审计

Recognize, diagnose, and mitigate patterns of context degradation in agent systems. Use when context grows large, agent performance degrades unexpectedly, or debugging agent failures.

33
Stars
64/100
信任
分类: coding-agents审计

Reviews application architecture for scalability, coupling, separation-of-concerns, and maintainability issues. Use for system-level review, not individual file/function-level code review.

21
Stars
64/100
信任
分类: coding-agents审计

Diagnose why a SigNoz alert fired by correlating the alert's own signal with neighbor signals (error rate, latency, throughput, CPU/memory), traces, and logs around the fire window — and rank likely causes. Make sure to use this skill whenever the user asks "why did this alert fire", "what caused alert X", "investigate this alert", "RCA for the alert that paged me", "what's wrong with [service]" in the context of a recent fire, or otherwise asks for a root-cause analysis of a firing or recently-fired alert. Read-only — does not modify any alert or notification.

15
Stars
58/100
信任
分类: automation审计