업무 효율화 스킬

Prepare Apple Notes exports and Markdown conversions by handling note HTML, checklist states, and attachment metadata. Scope exports to selected folders, check conversion limitations, and produce records that support backup or migration reviews.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Export selected note folders to JSON for backup
• Convert formatted notes and checklists to Markdown
• List attachment names and counts

Collect diagnostic evidence for Apple Notes automation failures involving AppleScript or JXA, JavaScript for Automation. Package platform details, authorization outcomes, and redacted errors into a scoped archive with a manifest, while excluding note content and sensitive records.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Investigating Apple Notes automation permission failures
• Collecting evidence for iCloud sync problems
• Diagnosing AppleScript or JXA errors

Manage AI work in one Notion task database, from capturing ideas and discussing proposals to approving and running tasks. Dispatch approved work to parallel agents using task-specific model choices while respecting dependencies and tracking progress.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Capture ideas from chat as Notion tasks
• Discuss and approve proposed work
• Run approved tasks across parallel agents

Find and load AGENTS.md instruction files across a project's directory hierarchy. Combine shared and module-specific rules, report conflicting instructions and source paths, and reuse discovery results during the current agent session.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Loading project rules when starting work
• Combining instructions across monorepo packages
• Checking conflicting rules between directory levels

Work with the `wacli` repository and local stores for WhatsApp linked devices. Inspect accounts, chats, messages, and database health with read-only commands, or handle authentication, syncing, sending, repository changes, and releases when requested.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Inspect linked WhatsApp accounts and local stores
• Search chats and messages without changing data
• Work on `wacli` repository changes or release tasks

Use the Skillshare CLI to install, sync, inspect, and recover skills and other agent resources across configured targets. It also guides shared memory notes, MCP settings, plugins, hooks, audits, backups, and troubleshooting in global or project configurations.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Install selected skills from a repository
• Sync agent resources to configured targets
• Import or update MCP connection settings

Finds installable agent skills for a task or area of interest, then explains what relevant options do and how to install them. It helps users explore available tools, templates, and workflows when they want to extend an agent’s capabilities.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Finding a skill for a specific task
• Exploring skills for a domain such as testing or design
• Getting an install command for a relevant skill

Keep project context across Claude Code sessions with a two-layer memory system: a quick-access MEMORY.md file and a linked knowledge wiki. It supports separate project backlogs, safety hooks against context loss, and an end-of-day `/close-day` summary, with no external dependencies.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Keeping project context between Claude Code sessions
• Separating notes and backlogs across projects
• Capturing a day's work with `/close-day`

Manage AI agent skills and instruction files across 11 tools. Learn where each tool stores them and how to list, create, edit, enable or disable, copy, move, and remove files while adapting formats when needed.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Listing skills installed for different agent tools
• Creating a new skill or instruction file
• Disabling a skill while preserving its contents

Search local WeChat chats in read-only mode, review recent history with a contact, and draft a short reply without sending it. The skill can guide first-time access setup when explicitly requested, with separate confirmation for acquiring local access material.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Searching local WeChat messages for a keyword
• Reviewing a contact’s recent conversation
• Drafting a reply without sending it

Summarize work since the user’s last message as a short silent landscape video made from slides, with waiting calls listed as text beneath it. The slides use captured work artifacts, show what is done or still pending, and keep each frame focused on one point.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Catching up on recent agent work in a video
• Showing completed and pending work visually
• Reviewing changes from screenshots or diffs

Restate the user’s goals and the problem they are trying to solve in your own words. Use it to make the understood request explicit before moving ahead, so the user can check whether the interpretation matches their intent.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Confirming the goal behind an open-ended request
• Checking the problem an agent thinks it should solve
• Making an interpretation explicit before work begins

Get guidance on setting up pstack, starting work with /poteto-mode, choosing a skill or playbook for a task, and troubleshooting a run. The skill answers how-to questions with a prompt you can send and a link to the relevant source.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Getting started with pstack
• Choosing a skill or playbook for a task
• Troubleshooting a pstack run

Apply a detailed working style that favors concise explanations, simple code, deliberate delegation, and checking results against the real artifact. It also routes different kinds of work to relevant principles and playbooks when available.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Requesting concise, clear explanations during a coding task
• Applying a consistent process to a multi-step change
• Choosing when to delegate work to agents

Rewrite the agent’s previous message in concise, plain language. It removes jargon and awkward phrasing while keeping the explanation coherent and direct, so the same point is easier to understand.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Simplifying a technical explanation
• Restating an unclear answer
• Removing jargon from a reply

Summarizes what changed in a chat since the user's last message and explains why it matters. It also lists every decision or action waiting on the user, with enough context to decide from the summary alone.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Catch me up on the changes since my last message
• List everything you need me to decide
• Explain the status and impact of the work

Turn a user's recurring work preferences into a personal “-mode” skill that agents can follow. The guided workflow can create a new skill or revise an existing one, using recent conversation history as optional evidence.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Creating a personal agent skill from recurring work preferences
• Refreshing an existing -mode skill after work habits change
• Capturing preferred response style and verification practices

Keep a reviewable record of decisions during long-running or unattended work. The skill uses a single TSV log to capture what was decided, why, supporting evidence, and the result, so a reviewer can follow the work later.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Recording decisions during a long-running task
• Reviewing work completed while away
• Tracking evidence and outcomes across phases

Rebuild recent work context from chat history, current project state, and shared records such as reports, fixes, and incidents. Get a concise brief of active threads, recurring problems, and the most useful next action before resuming work.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Catch up on recent work for a named feature
• Recall where a task was left off
• Review recent work across chat history

Coordinate multiple agents to cover separate parts of a task or compare results from the same brief, then combine their findings into one report. Useful for parallel exploration, reviews, and other work that benefits from broader coverage.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Splitting a large review into independent areas
• Comparing several agents' approaches to the same task
• Exploring a codebase in parallel

When asked to reflect, this skill reviews the active conversation for reusable lessons and maps accepted findings to edits in existing skills. It gathers reviewer input, checks whether a structural rule should enforce a lesson instead, and waits for approval before applying skill changes.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Turning a conversation's reusable lesson into a skill edit
• Reviewing a session for mistakes or useful practices to retain
• Routing accepted improvements to an existing skill

Manage an agent's limited conversation context when large outputs, long files, repeated reads, or broad planning start to fill it. The skill recommends limiting each phase and sending bulk work to subagents while keeping summaries in the main conversation.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Handling large outputs without crowding the main conversation
• Summarizing long files for later reasoning
• Planning a broad task in bounded phases

Keep reversible work moving by making reasonable execution decisions, completing the task, and showing the result for later feedback. It distinguishes routine edits from irreversible actions that still need confirmation.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Proceeding with reversible code or note edits
• Avoiding unnecessary approval pauses during execution
• Logging an issue and fixing it in a later round

Turn a repeated workflow into a reusable OpenChatCut skill. The process captures intent, clarifies when the skill should activate and what it should produce, then drafts or updates a SKILL.md and checks it with realistic prompts.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Turning a repeated task into a reusable skill
• Writing or revising a SKILL.md
• Defining triggers and expected outputs for a workflow