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Found 10,549 Skills
This skill should be used when users need to sync/promote configuration from staging (aws-staging) to production (aws-prod) environment. It handles image tag synchronization, identifies configuration differences, and manages the promotion workflow. Triggers on requests mentioning "sync to prod", "promote to production", "update prod images", or comparing staging vs production.
Use when each language SDK lives in a separate repository. Covers cross-repo workflow dispatch, PR status reporting, PR reconciliation on merge/close. Triggers on "multi-repo SDK", "separate SDK repositories", "cross-repo workflows", "SDK PR synchronization", "spec repo triggers SDK repos".
Agentic workflow patterns for autonomous LLM reasoning. Use when building ReAct agents, implementing reasoning loops, or creating LLMs that plan and execute multi-step tasks.
Async communication patterns using message brokers and task queues. Use when building event-driven systems, background job processing, or service decoupling. Covers Kafka (event streaming), RabbitMQ (complex routing), NATS (cloud-native), Redis Streams, Celery (Python), BullMQ (TypeScript), Temporal (workflows), and event sourcing patterns.
Core Eve CLI primitives and capabilities for app developers. Use as the quick reference for commands and flows.
Interactive feature development workflow from idea to implementation. Creates requirements (EARS format), design documents, and implementation task lists. Use when creating feature specs, requirements documents, design documents, or implementation plans. Triggered by "kiro" or references to .kiro/specs/ directory.
Build DAG-based AI pipelines connecting Gradio Spaces, HuggingFace models, and Python functions into visual workflows. Use when asked to create a workflow, build a pipeline, connect AI models, chain Gradio Spaces, create a daggr app, build multi-step AI applications, or orchestrate ML models. Triggers on: "build a workflow", "create a pipeline", "connect models", "daggr", "chain Spaces", "AI pipeline".
Use when planning animation workflows, deciding between spontaneous vs controlled approaches, or balancing creative freedom with structural precision.
This skill should be used when the user asks to "debug DSPy programs", "trace LLM calls", "monitor production DSPy", "use MLflow with DSPy", mentions "inspect_history", "custom callbacks", "observability", "production monitoring", "cost tracking", or needs to debug, trace, and monitor DSPy applications in development and production.
Extracts valuable learnings, patterns, and workflows from conversations and persists them as reusable skill files. This skill should be used when a complex problem was solved, a valuable workflow was discovered, or the user explicitly requests to capture knowledge as a skill.
Browser automation skill for UI testing via Chrome MCP tools. Use when: (1) QA Agent needs to verify UI visually or test interactions, (2) UI/UX Designer needs to check responsive design or component states, (3) Frontend Dev needs quick visual verification during development, (4) Test Writer needs to document user flows with screenshots/GIFs, (5) Any agent needs to test web interfaces, record demos, or debug UI issues. Capabilities: screenshots, interaction testing, accessibility checks, GIF recording, responsive testing, console/network debugging.
Create and audit GitHub Actions workflows with SHA pinning, permissions, and caching checks. Use when adding CI/CD, reviewing workflow files, or fixing action pinning.