Team Attention
Official@team-attention
We are a seasoned, AI-native engineering team.
Agent Skills by Team Attention
Showing 51 vetted skills indexed across 5 GitHub repositories.
team-attentionyoutube-digest
Extracts YouTube transcripts and generates summaries, Korean translations, and comprehension quizzes.
team-attentionhistory-insight
Extract and analyze conversation insights from Claude Code session JSONL files.
team-attentionsession-wrap
Analyzes completed coding sessions with parallel agents to propose commits, documentation updates, and follow-up tasks.
team-attentionsession-analyzer
Validates Claude Code session behavior against SKILL.md specifications by parsing debug logs.
team-attentionmetamedium
Classifies work as content or form and surfaces form-level alternatives using Alan Kay's metamedium concept.
team-attentionvague
Transforms ambiguous requirements into precise specifications through iterative hypothesis-driven questioning.
team-attentionunknown
Analyze strategy documents using the Known/Unknown 4-quadrant framework to surface blind spots.
team-attentionteam-assemble
Analyzes tasks and orchestrates dynamically designed agent teams using Claude Code's TeamCreate API.
team-attentionkakaotalk
Send and read KakaoTalk messages on macOS via Accessibility API scripts.
team-attentiongoogle-calendar
Query, create, update, and delete Google Calendar events across multiple accounts.
team-attentionpodcast
Generate Korean podcast episodes from sources and upload them to YouTube.
team-attentionfetch-tweet
Fetches tweet text, author data, and engagement metrics from X/Twitter URLs via the FxEmbed API.
team-attentiongmail
Read, search, send, and organize emails across multiple Gmail accounts via the Gmail API.
team-attentionclarify:metamedium
Classify tasks as content optimization or form and medium redesign.
team-attentionteam-assemble
Break complex tasks into coordinated specialist roles for parallel execution.
team-attention08-wrap
Verify tests, review git status, and coordinate branch cleanup or handoff.
team-attentionclarify:vague
Converts vague requests into actionable specifications using structured, hypothesis-driven questioning and summaries.
team-attentionclarify:unknown
Analyze strategy documents for hidden assumptions using a known-unknown quadrant framework.
team-attentionopenclone
Manage AI persona clones locally with creation, activation, and conversation commands.
team-attentionopenclone-cli
Run and manage AI persona clones from the command line.
team-attentionreference-seek
Locate internal patterns and external open-source references for feature implementation.
team-attentioninit
Scan repositories and generate .dev/config.yml for per-project worktrees.
team-attentiontest-validate
Validate AI outputs for required greeting and current date/time.
team-attentionultrawork
Chain specify, open, and execute hooks into an automated development pipeline.
Frequently Asked Questions About Team Attention
FAQPage SchemaWhat specific tasks can I perform with these engineering capabilities?▼
You can manage complex Git worktrees, translate technical readings into structured Markdown, parse YouTube transcripts into hierarchical documentation, and generate conventional commit messages. These capabilities enable systematic repository maintenance and high-fidelity content processing for technical teams.
Which personas benefit most from these technical capabilities?▼
Technical leads, documentation engineers, and software developers managing multi-repository projects benefit most. These capabilities are designed for teams requiring rigorous consistency in requirement gathering, pull request lifecycle management, and multi-language content synchronization.
What are the primary prerequisites for implementing these capabilities?▼
Implementation requires a standard Git environment, access to the GitHub ecosystem, and a configured development environment supporting tmux for session management. Users should have existing repositories with structured documentation to fully leverage the translation and parsing pipelines.