プロジェクトの開発履歴全体を「[プロジェクト]への旅」というナラティブレポートとして分析・生成するスキルです。タイムラインレポート、プロジェクト履歴分析、開発の道のり、完全なプロジェクトレポートを求められた際に使用します。
このスキルは、Claude Codeのメモリ機能であるclaude-memのタイムラインデータを活用し、ソフトウェアプロジェクトの全開発履歴を分析して「[プロジェクト名]への旅」というタイトルのナラティブ形式のレポートを生成します。開発者やAIエージェントがプロジェクトの進化を俯瞰的に理解するのに役立ち、各フェーズでの意思決定、技術的な選択、ブレイクスルーや課題など、コードコミット以上の文脈を含むストーリーを構築します。このスキルは主にClaude Code環境向けに設計されており、プロジェクトの長期的な分析や振り返りに適しています。ユーザーが「タイムラインレポート」や「プロジェクト履歴分析」、「開発の旅」といった表現でリクエストすると、内部でclaude-memのタイムラインを解析し、重要なイベントを抽出して説明的なレポートに変換します。これにより、単なる変更履歴の羅列ではなく、プロジェクトの文脈を理解した深い洞察を提供します。
npx skills add https://github.com/thedotmack/claude-mem/tree/main/skills/timeline-reportInstalled? Explore more 研究＆データ分析 skills: affaan-m/uspto-database, affaan-m/scholar-evaluation, affaan-m/literature-review · View all 6 →
プロジェクトの開発履歴全体を「[プロジェクト]への旅」というナラティブレポートとして分析・生成します。タイムラインレポート、プロジェクト履歴分析、開発の道のり、または完全なプロジェクトレポートを求められた際に使用してください。
このスキルは、claude-memのタイムラインデータからプロジェクトの全開発履歴を取得し、説明的なストーリー形式にまとめます。
以下のようなリクエストで呼び出せます：
レポートは「# [プロジェクト名]への旅」というタイトルで始まり、以下のセクションを含みます：
This repo contains 11 individual skills — each has its own dedicated page.
Watch a pull request or review cycle until it is ready to merge. Use when asked to babysit, monitor, or keep checking PR comments, reviews, and CI until all actionable issues are resolved.
Automated semantic versioning and release workflow for Claude Code plugins. Handles version increments across package.json, marketplace.json, plugin.json manifests, build verification, git tagging, GitHub releases, and changelog generation. NPM publishing (so `npx [email protected]` resolves) is handed off to the human maintainer, who raised npm security.
Execute a phased implementation plan using subagents. Use when asked to execute, run, or carry out a plan — especially one created by make-plan.
Explain how claude-mem captures observations, when memory injection kicks in, and where data lives. Use when the user asks "how does claude-mem work?" or "what is this thing doing?".
Build and query AI-powered knowledge bases from claude-mem observations. Use when users want to create focused "brains" from their observation history, ask questions about past work patterns, or compile expertise on specific topics.
Prime a codebase by reading every source file in full. Use when starting work on a new or unfamiliar project, or when the user asks to "learn the codebase", "read the codebase", "prime", or "get up to speed".
Create a detailed, phased implementation plan with documentation discovery. Use when asked to plan a feature, task, or multi-step implementation — especially before executing with do.
Search claude-mem's persistent cross-session memory database. Use when user asks "did we already solve this?", "how did we do X last time?", or needs work from previous sessions.
Map a codebase into feature-grouped flowcharts, identify duplicated concerns across features, and propose a unified architecture. Use when asked to "find the ideal path," unify duplicated systems, or audit architecture before a refactor. Emits a proposed unified flowchart plus per-system /make-plan prompts.
Token-optimized structural code search using tree-sitter AST parsing. Use instead of reading full files when you need to understand code structure, find functions, or explore a codebase efficiently.
Turn one document into a kawaii NotebookLM slide-deck PDF. Use for "wowerpoint this", "make a deck about <file>", "turn this report into slides", or any request to render a single document as shareable narrative slides.
USPTO patent and trademark data workflow for official record lookup, PatentSearch queries, TSDR checks, assignment data, and reproducible IP research logs.
Structured scholarly-work evaluation for papers, proposals, literature reviews, methods sections, evidence quality, citation support, and research-writing feedback.
Systematic literature-review workflow for academic, biomedical, technical, and scientific topics, including search planning, source screening, synthesis, citation checks, and evidence logging.
The agent harness performance optimization system. Skills, instincts, memory, security, and research-first development for Claude Code, Codex, Opencode, Cursor and beyond.
Agent skill repository discovered by 10x-chat research.
Review backend code for quality, security, maintainability, and best practices based on established checklist rules. Use when the user requests a review, analysis, or improvement of backend files (e.g., `.py`) under the `api/` directory. Do NOT use for frontend files (e.g., `.tsx`, `.ts`, `.js`). Supports pending-change review, code snippets review, and file-focused review.