466 skills · sorted by relevance
Improve an existing AI agent setup using execution records and user feedback. Identifies recurring problems, turns individual comments into reusable guidance, updates skills and coordination rules, and checks changes while preserving their history.
Set up an OpenRig team for ongoing repository work, with clear ownership, implementation, independent review, and handoffs. Choose direct coordination, a task queue, or an explicit workflow, then expand the team as authorized work requires.
Build and review Cloudflare Durable Objects for applications that retain shared state, such as chat rooms, games, and booking systems. Covers SQLite storage, remote method calls, WebSockets, scheduled work, Workers integration, configuration, and Vitest tests.
Build Java applications with cooperating AI agents using AgentScope Java. Guides asynchronous processing, where waiting tasks do not block execution, plus language model connections, external tools, workflow coordination, error handling, and tests.
Supports development with code quality and security checks, change impact analysis, documentation templates, and coordination across multiple agents. It defines checkpoints for new modules and refactoring, plus roles and file ownership rules for parallel work.
Help an agent join a shared project by reading the project plan, identifying assigned tasks and dependencies, recording work, and reporting completion to the coordinator. It also covers Git author settings so each worker's contributions can be identified.
Plan how multiple agents should work together. Choose between dependency-based tasks and repeated work cycles, define ownership and acceptance criteria, identify safe parallel work, and decide how to handle results, interruptions, or revised goals.
Plan work across several AI agents by defining task owners, deliverables, dependencies, and acceptance criteria. Choose a finite workflow or repeated improvement cycles, then review results before allowing dependent tasks to proceed.
Coordinate changes to shared task folders with .processing marker files that indicate ongoing work. Managers and Workers check these markers before editing, synchronize files through MinIO, and remove markers after completing their changes.
Adjust .NET MAUI layouts to avoid system bars, screen cutouts, and keyboards, or extend content to screen edges. It covers .NET 10 safe area APIs, migration from older settings, and CSS coordination for Blazor Hybrid.
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.
Set up file-based coordination between agent teams on different machines or across organizations. The skill creates connection settings, installs bundled sync scripts, and can initialize a shared Git repository for exchanging team status.
Plan task handoffs between agents on different machines using Git to share YAML task and result files. This implementation specification describes validation, execution limits, result reporting, and GitHub Issues as an additional route for urgent requests.
Coordinate multiple AI agents for research, development, testing, and system analysis. It guides role assignment, communication structures, parallel and sequential tasks, shared memory, progress monitoring, and recovery, bringing separate contributions into reports or coordinated development workflows.
Measure and optimize claude-flow v3 startup, search, attention processing, and memory use. Compare benchmarks against performance targets, track changes over time, and identify regressions to guide further optimization.
Manage GitHub issues, synchronize project boards, and plan sprints, short development cycles. Coordinate multiple AI agents to break work into tasks, assign responsibilities, update progress, and produce reports on completion and blockers.
Coordinate multiple AI agents with agentic-flow to run tasks in parallel or through ordered stages. Configure shared memory, team structure, workload distribution, retries, and task reassignment, then monitor how the group performs.
Organize software releases on GitHub, from version suggestions and release notes to testing, builds, and deployment. Coordinate multiple packages or repositories, roll changes out in stages, and configure rollback to restore an earlier release when problems occur.
Manage code changes across multiple AI agents while recording operations and their outcomes. Use previous task histories to find similar attempts, inspect successful patterns, and obtain suggested steps for implementation, code review, deployment, or merging changes.
Build advanced AgentDB workflows with database synchronization, multiple databases, and search that combines meaning with attribute filters. Covers similarity measures, diverse search results, and operational patterns for distributed AI applications.
Review GitHub pull requests, or proposed code changes, with specialized agents covering security, performance, architecture, and style. Generate actionable comments, apply quality thresholds, and coordinate automated review workflows.
Understand how Continuous Claude stores session memories, runs automatic actions at key events, and passes work between sessions. The skill explains the setup, relevant files, recall commands, and available database options.
Build Python agents with Agentica SDK using function decorators or agent instances. Examples cover conversation memory, external tools, MCP connections for tool access, multi-agent coordination, typed results, and logging to help implement and debug agent behavior.
Build, debug, or review Cloudflare Durable Objects code for persistent state and coordination.
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