'transcript' 검색 결과

Move useful memory notes and MCP server settings from Claude Code or Codex into Muse Code. MCP servers connect agents to external tools; the skill checks compatibility and reports settings that need attention.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Bring saved preferences into Muse Code
• Import useful project memory notes
• Move MCP server settings to Muse Code

Resume unfinished Claude Code work in Muse Code using a local session log. After the user selects a session, the skill recovers recent requests, decisions, and tool results, checks current files, and continues the task.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Continuing unfinished Claude Code work in Muse Code
• Recovering task context from a session ID or log path
• Checking saved progress before resuming a task

Resume unfinished Codex work in Muse Code by reading a local session log selected by the user. Recover the latest request, decisions, and pending changes, then check current files and continue the task.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Continue unfinished Codex work in Muse Code
• Resume work from a session ID or log path
• Recover prior decisions before continuing a task

Review recent Claude Code session logs to find frequently used read-only Bash commands and MCP tools, which connect agents to services. Rank suitable permission rules and merge them into project settings to reduce repeated approval prompts.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Reduce prompts for frequently used read-only tools
• Choose permission rules from actual usage
• Add project rules while preserving existing settings

Add timed graphic cards to an existing interview, podcast, or talking-head video. Turn spoken points into titles, quotes, and data callouts, then render an MP4 in a landscape or portrait format while the original clip plays throughout.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Highlight key points in an interview
• Add data callouts to an explainer video
• Package a podcast video for a portrait canvas

Prepare captions for Remotion videos through transcription, display, animation, or import from SRT files. Store captions as structured JSON containing text and timing, using the Caption type from @remotion/captions.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Creating captions from video or audio
• Displaying and animating captions in a video
• Importing existing SRT subtitles

Store project files and conversation transcripts as searchable memories while preserving their original text. Retrieve past decisions, code, and notes by meaning, inspect stored content, and review how well memories are organized.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Retrieve past decisions from conversation history
• Make project files searchable by meaning
• Inspect stored memories and their organization

Plan video production and combine tools for footage search, capture, generation, audio, analysis, and captions. Select tools for each task based on quality, budget, available credentials, and offline needs, with guidance for source rights and review.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Turning a video concept into a script and storyboard
• Finding footage and music while recording usage rights
• Planning narration, music, and sound effects

Turn ideas, briefs, product requirements, or meeting notes into actionable tickets with Sofia, the Product Owner. Break large initiatives into smaller work items, refine requirements, review board status, validate ticket structure, and replan when requirements change.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Turn ideas and notes into ticket requirements
• Break large initiatives into smaller work items
• Refine tickets and review readiness

Evaluate BMad skills using your agent's configured runner. Compare results with the model alone or another version, grade outputs against criteria, and test whether descriptions trigger correctly, preserving transcripts and evidence for each run.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Compare a skill with the model alone
• Compare an edited skill with a previous version
• Grade outputs against defined criteria

Process next-generation sequencing data with deepTools: convert alignment files into coverage tracks, normalize signals, compare samples, and check quality. Create heatmaps and profiles around genes or peak regions for ChIP-seq, RNA-seq, and ATAC-seq experiments.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Converting BAM files to normalized bigWig tracks
• Checking sequencing quality and replicate agreement
• Plotting heatmaps around transcription start sites

Convert genomic positions between file conventions, standardize variant representations, and check reference genome or chromosome naming conflicts. The skill helps investigate one-base shifts and compare individual variants against a reference sequence before combining analysis files.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Converting coordinates between BED and GFF/GTF
• Standardizing and comparing insertion or deletion records
• Checking reference genome and chromosome naming conflicts

Rank possible gene regulatory relationships from bulk or single-cell expression data using GRNBoost2 or GENIE3. The skill guides input preparation, compatible execution, method comparison, and stability checks to help prioritize candidates for further biological investigation.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Rank candidate regulator–target gene relationships
• Compare GRNBoost2 and GENIE3 results
• Check network stability across seeds and resampled data

Query public single-cell and spatial gene expression data by tissue, disease, or cell type. Retrieve selected expression values, cell metadata, and summary counts for analysis and comparisons across datasets without first downloading entire collections.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Explore cell types within a tissue
• Retrieve expression values for selected marker genes
• Compare cells across tissues and datasets

Turn local Claude Code session history into a personal activity report, cross-checked with local Git history. Generate Markdown and standalone HTML showing project activity, touched files, related commits, and each project's share of compute usage.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Explaining Claude Code usage to a manager
• Reviewing monthly activity across projects
• Preparing evidence for a personal performance review

Prepare for one company's upcoming earnings announcement with a compact HTML report. It combines the latest earnings call, competitor comparisons, valuation measures, and recent news, with links to supporting sources and calculation details.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Preparing a company earnings preview
• Comparing valuation with listed competitors
• Reviewing management guidance and key risks

Turn documents, notes, research, or code into a knowledge graph that maps identifiable things and their relationships. Create or update entity files and typed connections, with source evidence attached for inspection and later visualization.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Map people and organizations across documents
• Organize research with traceable evidence
• Map relationships between software modules

Build voice applications and phone agents with guidance on OpenAI Realtime API, Vapi, Deepgram, ElevenLabs, and LiveKit. Choose services for speech recognition, voice generation, and live communication, while addressing response delays and interruptions.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Build a voice assistant that responds in real time
• Create a phone support agent with Vapi
• Connect speech recognition and voice generation

Plan voice AI systems by comparing direct speech processing with separate transcription, language generation, and speech synthesis stages. Covers response delays, detecting when people speak, interruptions, and noise handling to guide conversational interface design.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Compare architectures for a voice AI system
• Review delays across conversation processing stages
• Design handling for interruptions during speech

Turn meeting notes, voice memos, photos, drawings, or requests for proposals into priced proposals and estimates. Use existing templates and historical rates to produce DOCX and PDF files, with approval-based signature routing and deposit invoicing where supported.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Turn meeting notes or voice memos into a proposal
• Prepare an estimate from site photos and drawings
• Draft a response to a request for proposals

Prepare a one-page customer call brief with attendee profiles, account history, open deals, and context from earlier conversations. Use available connected sources or uploaded files to build a sourced call plan and relevant discovery questions.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Reviewing customer history before a sales call
• Preparing questions from unresolved points in earlier calls
• Creating a call brief from uploaded records and notes

Build or refresh a strategic customer account plan from sales records, emails, and meeting transcripts. Organize goals, stakeholders, growth opportunities, risks, and dated actions into a document, then sync approved highlights to the customer relationship management system.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Creating a quarterly plan for a key customer
• Refreshing an existing account plan
• Reviewing stakeholder coverage and growth opportunities

Build a single brief on an existing customer using available sales records, emails, documents, call notes, and internal chat. Understand the current situation, key contacts, recent discussions, and gaps that may need attention.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Preparing for a meeting with an existing customer
• Catching up on an account during a handover
• Reviewing recent discussions and stalled opportunities

Turn interviews, surveys, usability notes, and customer feedback into shared themes, user groups, and prioritized recommendations. Findings include supporting quotes and participant counts, helping teams connect research evidence to concrete product improvements.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Find common issues across user interviews
• Combine survey results and support feedback
• Prioritize product improvements using research evidence