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documentation llm ai AI 技能

发现 documentation llm ai 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: documentation llm ai

显示第 2,209–2,232 个,共 13,084 个

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GitHub

nano-banana

NikiforovAll

This skill should be used for Python scripting and Gemini image generation. Use when users ask to generate images, create AI art, edit images with AI, or run Python scripts with uv. Trigger phrases include "gen...

GitHub

nano-banana-prompting

NikiforovAll

This skill should be used when crafting prompts for Nano Banana Pro (Gemini image generation). Use when users want help writing image generation prompts, need guidance on prompt structure, or want to optimize t...

GitHub

customer-support-builder

nbashaw

Guide users through building a custom customer support automation skill for their company. Walks through planning integrations, writing scripts for their support stack (Zendesk, HelpScout, Intercom, etc.), crea...

GitHub

creating-new-skills

jayminwest

Creates new Agent Skills for AI Agents following best practices and documentation. Use when the user wants prompts 'create a new skill ...' or 'use your meta skill to ...'.

GitHub

skild

Peiiii

Skill package manager for AI Agents — install, manage, and publish Agent Skills.

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

parallel-dispatch

jmagly

Generic parallel agent orchestration utility for launching multiple agents concurrently. Use when relevant to the task.

GitHub

skill-enhancer

jmagly

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

GitHub

decision-support

jmagly

Facilitate data-driven technical decisions using embedded decision matrices and trade-off analysis. Use when relevant to the task.

GitHub

voice-create

jmagly

Generate custom voice profiles from natural language descriptions. Use when relevant to the task.

GitHub

artifact-orchestration

jmagly

Orchestrate multi-agent artifact generation with the Primary Author → Parallel Reviewers → Synthesizer → Archive pattern. Use when relevant to the task.

GitHub

voice-analyze

jmagly

Reverse-engineer voice profiles from sample content by analyzing writing patterns. Use when relevant to the task.

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

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

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

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

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。

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