1.3K skills · sorted by relevance
Create and organize GitHub issues with templates, labels, assignees, and milestones. Coordinate multiple agents to track progress, post updates, and manage related issues across repositories as part of a shared project workflow.
Preserve project decisions and work progress across sessions, and share information between agents. Organize stored knowledge into separate spaces, retrieve relevant records, and manage expiration, compression, and cleanup of saved data.
Coordinate multiple AI agents through a lead agent that breaks goals into tasks, delegates to research, coding, analysis, and testing workers, monitors progress, resolves conflicts, and brings their work together into a final deliverable.
Choose coding challenges matched to a learner’s level and goals within Flow Nexus. Validate submissions, review solution quality and efficiency, and track progress through rankings, achievements, badges, and challenge completion rewards.
Run saved workflows and check their progress, with controls to pause, resume, or cancel execution. Also run JavaScript workflows that coordinate multiple agents and resume them using a recorded run ID.
Save an agent session’s state, settings, memory, and task progress, then restore it in another conversation. List saved sessions, inspect their details, and remove old ones when managing checkpoints for ongoing work.
Create agents that learn from interactions and adapt their behavior over time. Monitor learning progress, review efficiency and accuracy metrics, trigger adjustments from feedback, and share acquired knowledge with other agents through dedicated tools.
Review an AI team's recorded progress, blockers, task ownership, and budget usage. This read-only skill separates recorded claims from verified evidence and highlights the next decision the user needs to make.
Modernize the claude-flow v3 command-line interface by splitting large command files, adding interactive prompts, connecting hooks that run on execution events, and organizing multiple commands into automated workflows with progress reporting.
Organize GitHub issues, synchronize project boards, and plan sprints, or short work cycles. Coordinate multiple AI agents to break issues into tasks, assign work, update progress, and track dependencies across a project.
Manage recruiting in Ashby with natural language requests from Claude Code. Create and update candidates, create jobs and applications, review interview schedules and candidate notes, and combine records to report on hiring progress.
Review and implement loading feedback for operations such as fetching content or submitting actions. Use skeleton placeholders, spinners, and accessible status updates to communicate progress, while checking for layout shifts and measuring actual performance bottlenecks.
Review file upload interfaces for clear labels, accepted formats, size limits, and accessible progress and error messages. Check that keyboard and screen reader users can complete uploads, including alternatives to drag and drop.
Continue an existing OpenSpec change by creating one planning artifact, such as a proposal or specification, per request. Read its dependencies and workflow instructions, complete missing files when needed, and report progress and newly available steps.
Learn to create, discover, invoke, secure, evaluate, package, and port Agent Skills through one interactive lesson at a time. Practical checkpoints and quizzes track demonstrated progress in a local file, so later sessions resume where you stopped.
Study Model Context Protocol (MCP), which connects AI applications with external tools, through guided lessons and exercises. Inspect requests and responses, practice implementation and security checks, and record progress alongside observed results.
Prepare for four Claude certification tracks through guided lessons, practical exercises, quizzes, and mock exams. The tutor checks understanding and learner-created work, records progress, and uses assessment results to guide review.
Execute a written work plan by assigning implementation and verification to subagents. Track progress, isolate work in Git worktrees, record test evidence, and require independent verification before marking tasks complete, with optional pull request delivery.
Coordinates a named team of Codex workers with concrete responsibilities and shared progress records. It selects available collaboration tools, manages communication and separate working copies when needed, and handles integration, team archival, and cleanup after the work ends.
Build web animations with GSAP ScrollTrigger that respond to scrolling. Move or reveal elements, keep sections pinned in place, link animation progress to scroll position, and create parallax effects or horizontal movement driven by vertical scrolling.
Coordinate a task from a verifiable goal through completion. Handle work directly or split independent tasks across separate agent sessions, track progress, verify results, and arrange pull request merging when included in the goal.
Create goals and support ongoing progress using guidance for the relevant life area. Record commitments, consider changing priorities and competing goals, and review completion or extension when a goal’s timeframe ends.
Adapt agent replies for readers with ADHD by putting the next action first, numbering steps, and restating progress across turns. Replies include concrete time estimates, visible completed work, and fewer tangents to make tasks easier to follow.
Generate slides, documents, websites, and diagrams from natural language prompts through AnyGen OpenAPI. Manage reference uploads, check generation progress, and download finished files using commands with structured output for AI agents.