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data ai automation tools AI 技能

发现 data ai automation tools 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: data ai automation tools

显示第 1,993–2,016 个,共 8,185 个

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GitHub

tech-debt

mcouthon

Use when asked to find code smells, audit TODOs, remove dead code, clean up unused imports, delete debug statements, or assess code quality. Triggers on: "use tech-debt mode", "tech debt", "code smells", "clean...

GitHub

makefile

mcouthon

Use when creating or amending Makefiles for process lifecycle management. Best for projects needing background process management, PID tracking, logging, and status monitoring. Triggers on: "use makefile mode",...

GitHub

ralph-claude

hmemcpy

Interactive planning skill for Claude Code. Generates specs, implementation plans, and loop infrastructure through clarifying questions.

GitHub

artifact-proof

kazuph

Accumulate evidence (screenshots, videos, logs) under .artifacts// for visual regression and PR documentation workflow. [MANDATORY] Before saying "implementation complete", you MUST use this skill to collect ev...

GitHub

land-the-plane

cristianoliveira

Pre-merge CI validation - run all CI checks locally before committing. Use when user says "land the plane", "let's wrap up", "final checks", "ready to merge?", "run CI locally", or wants to verify code passes a...

GitHub

lint-check

mehdic

Run code quality linters when reviewing code. Checks style, complexity, and best practices. Supports Python (ruff), JavaScript (eslint), Go (golangci-lint), Ruby (rubocop), Java (Checkstyle/PMD). Use when revie...

GitHub

test-coverage

mehdic

Generate comprehensive test coverage reports when reviewing code. Identifies untested code paths and low-coverage areas. Supports Python (pytest-cov), JavaScript (jest), Go (go test -cover), Java (JaCoCo). Use...

GitHub

editorial-designer

heyman333

Create distinctive, production-grade frontend interfaces with high editorial design quality. Use this skill when the user asks to build web components, pages, artifacts, posters, or applications (examples inclu...

GitHub

dqmc-dev

edwnh

Workflow for modifying DQMC C code, adding new measurements, and running tests. Use when editing source code, implementing new observables, debugging, or validating code changes.

GitHub

lessons

johnlindquist

Capture and review lessons learned from coding sessions. Use to record insights, read past lessons, and improve over time.

GitHub

workflow

johnlindquist

Manage GitHub Actions workflows using gh CLI. Use to check CI status, view run logs, analyze failures, and rerun workflows.

GitHub

workflow-devkit

johnlindquist

Build durable, resumable TypeScript workflows with Vercel Workflow DevKit. Use when creating long-running processes, AI agents, background jobs, multi-step pipelines, webhooks, or event-driven systems. Triggers...

GitHub

diff-preview

johnlindquist

Preview and analyze git diffs with AI explanations. Use to understand changes before committing, get impact analysis, and compare branches or commits.

GitHub

changelog

johnlindquist

Generate and manage changelogs from git history. Use for release notes, tracking breaking changes, and maintaining project history.

GitHub

perf

johnlindquist

Performance profiling and optimization. Use for benchmarking code, analyzing performance, running Lighthouse audits, and finding hotspots.

GitHub

refactor

johnlindquist

Code refactoring with AI assistance. Use for modernizing code, converting JavaScript to TypeScript, class to hooks conversions, and systematic renaming.

GitHub

bundle

johnlindquist

Bundle and share code as gists or markdown. Use to create shareable code bundles, extract imports, and create GitHub gists.

GitHub

investigate

johnlindquist

Debug and investigate code issues using search and AI analysis. Use when stuck on bugs, tracing execution flow, or understanding complex code.

GitHub

cass-memory

johnlindquist

Contextual learning system that remembers patterns and rules from past sessions. Use to get relevant context before tasks, record outcomes, and build a personal playbook of coding patterns.

GitHub

testgen

johnlindquist

Generate tests using AI and run test suites. Use for generating unit tests, running coverage reports, and mutation testing.

默认按已收录数据中的 GitHub 仓库 Stars 排序。Stars 属于来源仓库,同一仓库的多个技能可能共享相同数值;它反映仓库关注度,不代表单个技能的安装量或质量评分。

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