claude-mem은(는) 무엇을 하나요?
Claude Code 플러그인을 위한 자동화된 시맨틱 버전 관리 및 릴리스 워크플로우입니다. package.json, marketplace.json, plugin.json 매니페스트의 버전 증가, 빌드 검증, git 태깅, GitHub 릴리스, 변경 로그 생성을 처리합니다. NPM 게시는 메인테이너가 npm 보안 문제를 제기했기 때문에 최종 인간 수동 단계로 남아 있습니다.
Claude Code 플러그인을 위한 자동화된 시맨틱 버전 관리 및 릴리스 워크플로우. package.json, marketplace.json, plugin.json 매니페스트의 버전 증가, 빌드 검증, git 태깅, GitHub 릴리스, 변경 로그 생성을 처리합니다. NPM 게시는 메인테이너가 npm 보안 문제를 제기했기 때문에 최종 인간 수동 단계로 남아 있습니다.
이 스킬은 Claude Code 플러그인 개발을 위한 자동화된 시맨틱 버전 관리 및 릴리스 파이프라인을 제공합니다. package.json, marketplace.json, plugin.json과 같은 여러 매니페스트 파일에서 일관된 버전 증가를 처리하여 수동 오류를 방지합니다. 또한 빌드 검증, git 태그 생성, GitHub 릴리스 자동화, 변경 로그 생성을 지원하여 릴리스 프로세스를 간소화합니다. NPM 게시는 보안상의 이유로 사람이 직접 수행하도록 의도적으로 분리되어 있어, 안전한 배포 파이프라인을 유지하면서도 대부분의 릴리스 작업을 자동화하려는 Claude Code 플러그인 개발자에게 이상적입니다.
npx skills add thedotmack/claude-memClaude Code 플러그인을 위한 자동화된 시맨틱 버전 관리 및 릴리스 워크플로우입니다. package.json, marketplace.json, plugin.json 매니페스트의 버전 증가, 빌드 검증, git 태깅, GitHub 릴리스, 변경 로그 생성을 처리합니다. NPM 게시는 메인테이너가 npm 보안 문제를 제기했기 때문에 최종 인간 수동 단계로 남아 있습니다.
This repo contains 12 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.
Generate a "Journey Into [Project]" narrative report analyzing a project's entire development history from claude-mem's timeline. Use when asked for a timeline report, project history analysis, development journey, or full project report.
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.
Extract frames or short clips from videos using ffmpeg.
Summarize or transcribe URLs, YouTube/videos, podcasts, articles, transcripts, PDFs, and local files.
Use when testing, fixing, or extending the OpenClaw Control UI GUI with Vitest + Playwright end-to-end checks, mocked Gateway WebSocket flows, mocked dashboard runs, screenshots/videos, or agent-verifiable browser proof.
Obra superpowers agent skills.
See, Understand, Act on video and audio. See- ingest from local files, URLs, RTSP/live feeds, or live record desktop; return realtime context and playable stream links. Understand- extract frames, build visual/semantic/temporal indexes, and search moments with timestamps and auto-clips. Act- transcode and normalize (codec, fps, resolution, aspect ratio), perform timeline edits (subtitles, text/image overlays, branding, audio overlays, dubbing, translation), generate media assets (image, audio...
End-to-end marketing campaign planning and execution. Covers audience research, positioning, campaign angle definition, landing page copy, email sequences, social posts, ad copy, short-form video scripts, and content calendars. Use as the orchestration layer for multi-channel product launches. Use when planning or executing a multi-channel product launch, or producing landing page, email, social, or ad copy.