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jmagly AI Skills

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浏览 jmagly 维护的已发布 AI 技能,比较用途与说明,并通过来源仓库了解安装方式。

作者统计

已收录技能

72

收录技能的仓库 Stars 合计

5,722

仓库 Forks

654

平均每个技能的仓库 Stars

79

同一仓库中的多个技能可能共享 Stars,合计包含重复仓库数据。

72 个技能

全部技能

GitHub

llms-txt-support

jmagly

Detect and use llms.txt files for LLM-optimized documentation. Use when checking if a site has LLM-ready docs before scraping.

GitHub

skill-packager

jmagly

Package skills into uploadable ZIP files for Claude. Use after skill-builder/skill-enhancer to create final upload package.

GitHub

audience-synthesis

jmagly

Synthesize audience insights from multiple data sources into unified personas and segments. Use when relevant to the task.

GitHub

flaky-fix

jmagly

Suggest and apply fixes for flaky tests based on detected patterns. Use after flaky-detect identifies unreliable tests that need repair.

GitHub

pdf-extractor

jmagly

Extract text, tables, and images from PDF files. Use when converting PDF documentation, manuals, or reports to searchable text.

GitHub

data-pipeline

jmagly

Orchestrate marketing data collection, transformation, and reporting workflows. Use when relevant to the task.

GitHub

doc-scraper

jmagly

Scrape documentation websites into organized reference files. Use when converting docs sites to searchable references or building Claude skills.

GitHub

flaky-detect

jmagly

Identify flaky tests from CI history and test execution patterns. Use when debugging intermittent test failures, auditing test reliability, or improving CI stability.

GitHub

ai-pattern-detection

jmagly

Detects AI-generated writing patterns and suggests authentic alternatives. Auto-applies when reviewing content, editing documents, generating text, or when user mentions writing quality, AI detection, authentic...

GitHub

vitest-runner

jmagly

Execute JavaScript/TypeScript tests with Vitest, supporting coverage, watch mode, and parallel execution. Use for JS/TS test automation.

GitHub

brand-compliance

jmagly

Unified brand compliance validation across visual, verbal, and legal dimensions. Use when relevant to the task.

GitHub

doc-scraper

jmagly

Scrape documentation websites into organized reference files. Use when converting docs sites to searchable references or building Claude skills.

GitHub

template-engine

jmagly

Load, validate, and populate templates consistently across frameworks. Use when relevant to the task.

GitHub

skill-builder

jmagly

Build Claude skills from extracted documentation. Use after doc-scraper/pdf-extractor to generate uploadable skill packages. Use when relevant to the task.

GitHub

skill-builder

jmagly

Build Claude skills from extracted documentation. Use after doc-scraper/pdf-extractor to generate uploadable skill packages.

GitHub

review-synthesis

jmagly

Aggregate multi-reviewer feedback into consolidated, actionable recommendations. Use when relevant to the task.

GitHub

flaky-detect

jmagly

Identify flaky tests from CI history and test execution patterns. Use when debugging intermittent test failures, auditing test reliability, or improving CI stability.

GitHub

flaky-fix

jmagly

Suggest and apply fixes for flaky tests based on detected patterns. Use after flaky-detect identifies unreliable tests that need repair. Use when relevant to the task.

GitHub

voice-apply

jmagly

Applies a voice profile to transform content. Use when user asks to write in a specific voice, match a tone, apply a style, or transform content to sound like a particular voice profile.

GitHub

quality-checker

jmagly

Validate skill quality, completeness, and adherence to standards. Use before packaging to ensure skill meets quality requirements. Use when relevant to the task.

GitHub

venv-manager

jmagly

Create, manage, and validate Python virtual environments. Use for project isolation and dependency management.

GitHub

llms-txt-support

jmagly

Detect and use llms.txt files for LLM-optimized documentation. Use when checking if a site has LLM-ready docs before scraping.

GitHub

skill-enhancer

jmagly

AI-powered enhancement of skill SKILL.md files. Use to transform basic templates into comprehensive, high-quality skill documentation. Use when relevant to the task.

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。