发现content management类别的 Claude 技能。浏览 19 个技能,找到适合您 AI 工作流程的完美功能。
Automates technical documentation discovery and retrieval using the llms.txt standard and intelligent script-driven workflows.
Automatically classifies repository files into commands, agents, skills, and documentation using structure and content analysis.
Drafts professional and standardized internal company communications using organizational templates and best practices.
Automates the creation, editing, and analysis of PowerPoint presentations using Python.
Searches across all project documentation, architecture files, and technical decisions using full-text indexing.
Standardizes file organization and naming conventions for the Next.js-based Bellog blog system.
Injects optimized Next.js framework documentation into project files to significantly improve AI agent coding accuracy and reduce hallucinations.
Synchronizes and updates project documentation by analyzing the current codebase state to ensure technical accuracy and eliminate stale information.
Generates standardized project documentation from templates to maintain persistent context and architectural decisions across sessions.
Imports and converts Notion workspace pages into structured local markdown files with full asset support.
Automatically enhances articles by analyzing content to generate and insert contextually relevant illustrations in diverse visual styles.
Indexes and searches organizational culture documentation to streamline access to company values, practices, and guidelines.
Manages IT Glue documents, folders, and embedded resources to automate MSP documentation workflows and runbook creation.
Removes AI-generated verbosity, conversational slop, and redundant code comments to improve signal-to-noise ratio in technical documentation.
Manipulates PDF documents by extracting text and tables, merging files, and programmatically generating or filling PDF forms.
Eliminates AI-generated verbosity, slop, and redundant conversational filler from documentation and code comments.
Transforms technical git commit history into polished, user-friendly release notes and customer-facing changelogs automatically.
Automates the generation of standardized changelogs and release notes using industry-leading patterns like Conventional Commits and Semantic Versioning.
Produces lean, forceful, and timeless English prose by eliminating common AI writing patterns and filler.
Eliminates AI-generated verbosity, conversational filler, and redundant documentation patterns to improve technical clarity.
Optimizes professional resumes and CVs for impact, ATS compatibility, and role-specific targeting using proven accomplishment frameworks.
Automates the entire internationalization and localization lifecycle for web applications, from library configuration to AI-powered translations.
Converts Markdown manuscripts into professionally formatted Vellum-ready Word documents by automating cleanup and structural normalization.
Generates professional, conceptual AI imagery and optimized web assets using the Gemini API and an iterative workflow.
Generates detailed, narrative-style blog posts from podcast transcripts and interviews to showcase authentic homeschool and hybrid learning schedules.
Uploads Markdown files containing text and images directly to Notion pages with automated block conversion and image hosting.
Guides users through a structured three-stage workflow to collaboratively draft high-quality technical documentation, proposals, and specifications.
Guides users through a structured, three-stage workflow for creating high-quality technical documentation and proposals.
Generates structured, annotated manifests to track files, conversation history, and architectural relationships using a unique ID system.
Designs high-impact, automated GitHub Profile READMEs optimized for professional branding and recruitment signaling.
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