Email, calendars, task management, and automation (7.9K skills)
Access TeamAI workflows for sharing skills, rules, documents, and environment settings across AI coding tools. This entry skill loads version-matched guidance for team setup, synchronization, codebase knowledge, and sharing lessons from a session.
Manage shared team skills, rules, and documents through TeamAI. This skill guides syncing, publishing, checking differences, and diagnosing configuration problems, while directing setup and knowledge-sharing requests to the appropriate workflows.
Coordinate multiple AI agents by assigning tasks, tracking dependencies, exchanging messages, and monitoring progress. Separate Git working directories help organize parallel changes, while context checks and snapshots support handoffs and recovery.
Find unanswered GitHub issues and discussions, read their full conversations, and prepare response drafts. Organize drafts by response type and confidence for human review, with action logs and commands that help people post approved replies.
Set up personal AI agents that join Squad sessions across projects. Manage their roles in a user configuration directory, inspect the combined team, and use agents that read project state and offer advice without writing to it.
Choose how an AI team handles each task, from a direct coordinator answer to parallel work by several agents. Includes decision criteria, example requests, and a short assignment template for small tasks.
Clean up stored agent state in `.squad/` by compressing histories, pruning old logs, archiving stale decisions, and removing orphaned inbox files. Use it after long sessions or before starting work with many agents to reclaim context space.
Find and start common Squad operations through a categorized menu. The coordinator guides users through team management, GitHub issues, plugins, model settings, and session history, collecting required details and confirming changes where the catalog requires it.
Find interrupted Copilot CLI sessions in stored history, review conversations, checkpoints, files, and linked issues or pull requests, then resume unfinished work with the context needed to understand where it stopped.
Review agent charters and histories, extract repeated knowledge into shared skills, and shorten the original documents while preserving unique responsibilities. A before-and-after size report shows how much context each agent saves.
Extract lessons from corrections, praise, and unexpected cases in conversations. Organize findings by confidence level and propose updates to individual agent histories or shared team decisions, with changes shown for approval before saving.
Structure delegated agent tasks with clear goals, success criteria, and a three-attempt limit. Provides handoff templates and coordinator checks, plus rules for escalating unresolved work and turning research findings into concrete follow-up actions.
Use the Obsidian command-line interface to read, create, and search notes, manage tasks and properties, and work with specific vaults. It also supports plugin and theme debugging through error checks, screenshots, and interface inspection.
Create and edit .canvas files for visual planning in tools such as Obsidian. Arrange text, files, and links into mind maps or flowcharts, connect related items, and check that the file structure remains valid.
Search a collection of notes using exact keywords, meaning, or both. Find past decisions, meeting records, and information about people, then retrieve relevant passages or check new notes for duplicates and related material.
Create and edit Obsidian Bases files to organize notes into tables, cards, and lists. Filter notes by tags or properties, calculate values such as days until a deadline, and configure grouping and summaries.
Create and edit visual AI agent workflows in CC Workflow Studio through conversation. Add or remove steps and connections, update individual nodes, and organize related steps into visual groups on the canvas.
Evaluates Claude Code conversations at session end and extracts reusable solutions, user corrections, and project conventions. It saves useful patterns as learned skills for future sessions, with configurable detection rules and a minimum conversation length.
Get reminders to compact conversation context, meaning summarize it for continued work, during long Claude Code sessions. A tool-call counter prompts consideration of manual compaction, with guidance on choosing useful breaks between task phases.
Automate macOS apps by capturing screenshots, inspecting interface elements through Accessibility, and performing clicks, typing, scrolling, or dragging. Target specific windows, use supported background operations, and verify the interface after changes.
Inspect available APIs in Open-Science and find files, session status, and agent conversations within the current project. Check which host features are available before using them, and trace the inputs behind generated file versions.
Create and manage focused Specialist agents and Skills through conversation. Draft agent roles, review available Skills and Connectors, configure access, and manage changes, with Skill creation and publishing handled by the application's internal skill-creator.
Draft daily or weekly schedules from tasks, deadlines, availability, and stated energy patterns. Include fixed commitments, breaks, and buffers, flag work that will not fit, and review supplied activity logs to suggest practical adjustments.
Generate brief daily check-ins, evening reflection questions, and weekly or monthly reviews for individuals and teams. Summarize supplied entries to highlight accomplishments, blockers, and supported patterns, with optional suggestions for next actions.