1.3K skills · sorted by relevance
Carry out an implementation plan by assigning each task to a separate agent, then reviewing specification compliance and code quality. Keep progress in files and review the complete set of changes after all tasks are finished.
Organize feature development using files in the repository. Break larger goals into user stories, assign them to sprints, guide implementation and review, and track progress through confirmed merges without an external project management tool.
Coordinate multiple AI agents with assigned owners, clear work boundaries, and a Kanban board that tracks progress. Organize separate branches or worktrees, collect test and handoff evidence, and define checks that must pass before combining their work.
Helps write and review PyTorch models, training loops, and data loading code. Covers repeatable experiments, saving training progress, and techniques for reducing GPU memory use or improving training speed, with practical code examples.
Add on-device language model features to iOS 26+ apps with Apple's FoundationModels framework. Covers text generation, summarization, extracting data into Swift types, calling custom app functions, and progressively updating screens as responses are generated.
Design task-specific workflows for repeated agent work, with pass/fail checks, progress records, and handoff notes. Identify when a temporary workflow should become a shared skill that teammates can run and evaluate again.
Coordinate coding projects through Claude DevFleet by splitting work into dependent tasks and dispatching Claude Code agents in separate Git working directories. Monitor progress, manage automatic task sequencing, and review structured reports of changes, tests, and errors.
Keep project context across Claude Code sessions by saving progress, decisions, blockers, and next steps. Commands retrieve project briefings, while a session-start hook loads a compact summary to help resume previous work.
Plan autonomous Claude Code workflows, from sequential development steps to parallel agents working from a specification. The material explains how to preserve progress between runs, check quality, coordinate merges, and set limits that stop repeated execution.
Diagnose failed AI agent runs by capturing errors, checking likely causes, and choosing small, reversible recovery actions. The workflow produces a structured report of the failure, recovery steps, and evidence, helping explain repeated retries or stalled progress.
Build a dashboard that refreshes from email, websites, or local files. Track progress, highlight items needing attention, and retain a change history, with notifications when important changes or new issues appear.
Delegate code changes and multi-step development tasks to OpenHands CLI using a model supported by LiteLLM, a connection layer for model providers. Run tasks without an interactive interface, inspect progress events, and resume previous conversations.
Organize video production with specialist agents in Hermes. Turn a brief into a team, shared workspace, and kanban task board, then monitor progress and help resolve stalled or failed tasks while other tools handle rendering.
Write internal communications using guidance matched to the document type and the company’s preferred style. It covers progress updates, newsletters, FAQ answers, leadership updates, and incident reports, with instructions for format, tone, and gathering information.
Coordinate agent work through the Paperclip API by checking assignments, updating task status, posting progress, delegating subtasks, and requesting approvals. It records deliverables and dependencies so reviewers and other agents can follow the work and continue it.
Review stalled, blocked, or pending-review issues in Paperclip and choose one concrete next action for each. Clarify ownership and status, then resume work, reassign it, resolve blockers, request a decision, or close the issue.
Create Paperclip tasks, add progress comments, update statuses, and list assignments from Hermes. A helper uses API credentials with restricted permissions to keep task creation and updates within approved work boundaries.
Turn a song, podcast, or personal introduction into a Spotify-style now-playing card. Generate a single HTML file with CSS-drawn cover art, a progress bar, and playback-style icons for video overlays or personal homepages.
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.
Find a trial Storybook package for a specific branch, or trigger its publication when needed. Check release progress and obtain the package reference or commands for creating or upgrading a project with that build.
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.
Connect work from multiple AI agents to GitHub Projects. Synchronize task cards and statuses, assign work based on expertise and workload, and generate progress reports so teams can track assignments, priorities, and blockers on shared boards.
Coordinate a team of AI agents by setting direction, assigning responsibilities, allocating resources, and tracking progress. Support hierarchical decisions, group consensus, and emergency control while recording shared state and preparing handovers to keep work moving.
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.