learning & documentation向けのClaudeスキルを発見してください。97個のスキルを閲覧し、AIワークフローに最適な機能を見つけましょう。
Generates a standardized documentation foundation including CLAUDE.md and core principles to streamline AI agent navigation and project consistency.
Orchestrates the automated creation of a complete, multi-layered documentation system including architecture, task boards, and legacy migrations.
Automates industry research and generates structured project documentation including ADRs, API manuals, and best practice guides.
Manages and maintains Python runtime code for DiPeO services, including node handlers, domain models, and LLM infrastructure.
Applies semantic line breaks to prose, such as comments and commit messages, to improve readability and maintainability.
Guides pre-PMF startups through product discovery and problem validation using the Opportunity Solution Tree framework.
Provides rules and best practices for writing clear, valuable, and standardized code comments.
Performs in-depth codebase research and documents findings in persistent, structured markdown files.
Demonstrates advanced resource management by progressively loading scripts, documentation, and data files from a skill directory as needed.
Generates structured, project-specific rules in a `lifeguard.yaml` file to guide and standardize code reviews.
Provides a structured process and best practices for creating new Claude skills.
Analyzes YouTube video transcripts to extract technical insights and relate them directly to your codebase.
Transforms external resources like articles and papers into structured, actionable knowledge with systematic evaluation and application routing.
Constructs virtual spatial mnemonic structures to organize complex information and enhance knowledge recall through architectural mapping.
Translates SpecWeave documentation, templates, and CLI messages into multiple languages using the current LLM session.
Indexes and retrieves information across memory palace networks using spatial, semantic, and sensory search modalities.
Ensures accurate implementations by strategically performing web research on evolving APIs, security standards, and documentation.
Optimizes CLAUDE.md configurations and Agent Skills for the Claude Code CLI using Anthropic’s official prompt engineering best practices.
Guides the creation of new Claude Code Skills following best practices for structure, content, and discovery.
Automates the creation of professional R and Python package release announcements for Tidyverse and Shiny blogs.
Migrates existing documentation to the AgenticDev structure using AI-powered analysis to categorize files, update links, and generate metadata.
Indexes project documentation by scanning markdown frontmatter to provide instant context while minimizing token consumption.
Provides standardized templates and procedural guidance for building, structuring, and optimizing specialized Claude Code skills.
Migrates existing project documentation into the AgenticDev structure using AI-powered analysis and intelligent link correction.
Generates comprehensive, standardized technical documentation using industry-leading templates and coverage targets.
Automates the creation and maintenance of AGENTS.md files to enable seamless AI agent discovery and standardized workflow documentation.
Registers and updates AgenticDev skills within a central AGENTS.md file to enable seamless discovery and usage by AI agents.
Accelerates the spec-driven development workflow by generating AI-assisted drafts and synthesizing pull request feedback into actionable plans.
Enforces repository structure by scanning for Markdown files in non-standard locations to prevent documentation sprawl.
Facilitates deep context retrieval and architectural understanding by querying project history, coding patterns, and documentation before implementing changes.
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