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研究与调研 AI 技能

发现 研究与调研 相关 Skills,比较来源仓库和用途,查看适合你工作流的技能说明。

分类目录: 研究与调研

显示第 66,097–66,120 个,共 85,651 个

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GitHub

cermontgeneraldependency-upgrade

JuanDiego30

Manage major dependency version upgrades with compatibility analysis, staged rollout, and comprehensive testing. Use when upgrading framework versions, updating major dependencies, or managing breaking changes...

GitHub

lint-and-validate

seanpham99

Automatic quality control, linting, and static analysis procedures. Use after every code modification to ensure syntax correctness and project standards. Triggers onKeywords: lint, format, check, validate, type...

GitHub

vue-expert

seanpham99

Provides Vue 3 expertise including Composition API, reactivity system, component patterns, performance optimization, state management with Pinia, and Nuxt.js integration. Use this skill for Vue component issues...

GitHub

systematic-debugging

seanpham99

4-phase systematic debugging methodology with root cause analysis and evidence-based verification. Use when debugging complex issues.

GitHub

parallel-agents

seanpham99

Multi-agent orchestration patterns. Use when multiple independent tasks can run with different domain expertise or when comprehensive analysis requires multiple perspectives.

GitHub

frontend-design

seanpham99

Design thinking and decision-making for web UI. Use when designing components, layouts, color schemes, typography, or creating aesthetic interfaces. Teaches principles, not fixed values.

GitHub

cloudflare-expert

seanpham99

Comprehensive Cloudflare platform skill covering Workers, Pages, storage (KV, D1, R2), AI (Workers AI, Vectorize, Agents SDK), networking (Tunnel, Spectrum), security (WAF, DDoS), and infrastructure-as-code (Te...

GitHub

local-first-sync

BenderFendor

Implement a local-first + backend-sync data flow (create/update/delete) with tombstones, dedupe, and safe retry. Use when building offline-capable entities (highlights, annotations, queue items, notes) that mus...

GitHub

log-triage

BenderFendor

Triage large log directories without loading everything into context by extracting and grouping errors, emitting a compact debug brief, and (optionally) chunking raw logs for LLM upload.

GitHub

log-to-llm-chunker

BenderFendor

Convert large log files into uploadable plain-text chunks sized for LLM review; use when a log is too big for a single prompt/file and you need ~500k-token target parts.

GitHub

create-skill

lbussell

Guide for authoring agent skills. Use when creating new skills, writing SKILL.md files, or improving existing skills.

GitHub

ghostty-config

lbussell

Edits Ghostty terminal configuration. Use when configuring fonts, colors, keybindings, or appearance in Ghostty.

GitHub

prompt-engineering

lbussell

Techniques for writing effective LLM prompts. Use when crafting system prompts, optimizing agent instructions, or improving model outputs.

GitHub

dotnet-file-based-apps

lbussell

Creates .NET file-based apps from single C# files. Use when building scripts, utilities, or small applications without project files.

GitHub

azure-pipelines-tasks

lbussell

Finds Azure Pipelines task implementation source code. Use when investigating task behavior, debugging pipeline issues, or understanding how built-in tasks work.

GitHub

github-actions-composite

lbussell

Creates GitHub Actions composite actions. Use when building reusable action.yml files, integrating github-script, or setting up action inputs/outputs.

GitHub

eslint-rule-creator

howmanysmall

Use when creating a new ESLint rule for eslint-cease-nonsense-rules, adding a lint rule, or when user provides incorrect/correct code examples for a new rule

GitHub

hetzner-infra

nmime

Hetzner cloud infrastructure provisioning for Kubernetes. Use when provisioning servers, networks, load balancers, firewalls, DNS zones, or storage on Hetzner Cloud via hcloud CLI.

GitHub

k8s-autoscaling

nmime

KEDA event-driven autoscaling for Kubernetes. Use when installing KEDA, configuring scalers (Prometheus, RabbitMQ, Kafka, etc.), setting up HPA, or implementing autoscaling best practices.

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