9.1K skills · sorted by relevance
Use the Archon CLI to launch AI workflows on projects, inspect their results, and approve, reject, cancel, or resume runs. The skill also guides setup, configuration changes, workflow creation, and improvements to workflow prompts.
Set up gh-aw, a GitHub CLI extension that turns Markdown workflows into GitHub Actions. The skill provides installation options and points agents to further instructions for creating, updating, debugging, and optimizing those workflows.
List GitHub Actions workflows with a script that lets you choose the page size and page number. Get JSON containing the total count, workflow names, file paths, states, timestamps, and links for inspection or further processing.
Generate images, video, and music through ComfyUI in OpenMontage. Helps adapt community workflows, select the final output, identify missing models, and choose workflows suited to available GPU memory while recording settings for reproducibility.
Write Workflow scripts that divide research, reviews, or migrations among multiple agents. This reference explains parallel tasks, independent checks, result synthesis, and resuming interrupted runs, with examples for organizing larger jobs into manageable stages.
Review GitHub Actions workflows for unsafe input handling, excessive token permissions, exposed secrets, and changeable action references. Get findings grouped by issue type, with severity ratings, exact YAML locations, and concrete fixes to review.
Create and edit EAS workflow YAML files to automate builds and deployment for Expo projects. The skill consults current documentation and validates configuration structure, required parameters, job dependencies, and expressions against the published schema.
Train and evaluate robot policies, the models that choose actions, using RSL-RL or RLinf in healthcare simulations. Export trained artifacts and check that they work through the normal Workflow runner.
Create complete Claude Code workflow directories with curated skills. Use when user wants to (1) create a new workflow for specific use case (media creator, developer, marketer, etc.), (2) set up a Claude Code project with pre-configured skills, (3) download and organize skills from GitHub repositories, or (4) generate README.md and AGENTS.md documentation for workflows. Triggers on phrases like "create workflow", "new workflow", "set up workflow", "build a xxx-workflow".
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Use when working with Argo Workflows — argo Workflows management for Kubernetes-native workflow orchestration. Covers workflow templates, cron workflow scheduling, artifact management, workflow execution, parameter handling, and resource monitoring. Use when checking workflow status, investigating step failures, managing templates, or auditing cron workflows.
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Find LLM workflows in a codebase and label them by the job they perform, so Caveman Cloud can separate spending by workflow. Present a labeling proposal for approval, apply focused code changes, and check an affected execution path.
Create workflows that pause for approval and resume later, or scripts that distribute work across multiple agents. Choose a saved template for ongoing processes or a JavaScript script to collect structured results from parallel tasks.
Add error handling to n8n workflows with connected error outputs, retries, and failure notifications. Return HTTP status codes that explain what went wrong, distinguish invalid requests from service failures, and keep internal error details out of public responses.
Create and edit EAS workflow YAML files to automate builds and deployments for Expo projects. Check required settings, job dependencies, and dynamic values against the latest schema, which defines the accepted configuration.
Route GitHub Agentic Workflows requests to the appropriate task guide. It selects prompts for design, creation, updates, debugging, or upgrades, with additional guidance for specialized tasks and repository-specific instructions when available.
Analyze token usage and AI costs in GitHub Agentic Workflows, identify expensive steps and budget or timeout failures, and develop prioritized improvements checked against the original workflow’s output quality.
Routes requests to design, create, update, debug, or upgrade GitHub Agentic Workflows to the appropriate instructions. It helps the agent select a workflow-specific procedure and apply any additional rules defined for the repository.
Run a research task through five ordered stages: brainstorming, planning, implementation, review, and documentation. The workflow checks that brainstorming and planning files exist before proceeding, then reviews and documents what the implementation stage produced.
Antigravity Workflows workflow skill. Use this skill when the user needs Orchestrate multiple Antigravity skills through guided workflows for SaaS MVP delivery, security audits, AI agent builds, and browser QA and the operator should preserve the upstream workflow, copied support files, and provenance before merging or handing off.
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Turn recurring work or life activities into workflow specifications through focused questions with recommended answers. Clarify triggers, human review, and decision summaries so an implementation agent can build the workflow without further questions.
Design multi-agent workflows for research, reviews, and migrations. Organize work across different evidence sources, add independent checks, and combine findings while preserving source references, unresolved questions, and limits on what was examined.
Manage n8n automation workflows from the command line. Create, update, and activate workflows, inspect or retry executions, and manage credentials, variables, and tags through n8n's public API with structured JSON output.
Test Temporal workflows in Python with pytest. Use time skipping to avoid long waits, replace activities with controlled test versions, and replay execution histories to check that workflow changes remain consistent with previous runs.
Turn an existing GitHub Actions workflow into a structured specification for maintenance and AI reference. Document its purpose, triggers, job dependencies, inputs, outputs, permissions, and failure handling, focusing on expected behavior rather than implementation details.