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Found 9,621 Skills
Fidel integration. Manage data, records, and automate workflows. Use when the user wants to interact with Fidel data.
Run wizard templates to guide multi-step command-line workflows.
Create, update, and manage GitHub issues using MCP tools. Use this skill when users want to create bug reports, feature requests, or task issues, update existing issues, add labels/assignees/milestones, or manage issue workflows. Triggers on requests like "create an issue", "file a bug", "request a feature", "update issue X", or any GitHub issue management task.
No-code automation democratizes workflow building. Zapier and Make (formerly Integromat) let non-developers automate business processes without writing code. But no-code doesn't mean no-complexity - these platforms have their own patterns, pitfalls, and breaking points. This skill covers when to use which platform, how to build reliable automations, and when to graduate to code-based solutions. Key insight: Zapier optimizes for simplicity and integrations (7000+ apps), Make optimizes for power
Manage git worktrees for efficient multi-branch development. Use when you need to create worktrees for feature branches, organize worktree directories, clean up unused worktrees, or implement worktree-based workflows.
Amazon Advertising integration. Manage data, records, and automate workflows. Use when the user wants to interact with Amazon Advertising data.
Create multi-assistant squads in Vapi with handoffs between specialized voice agents. Use when building complex voice workflows that need multiple assistants with different roles, like triage-to-booking or sales-to-support handoffs.
Blazemeter integration. Manage data, records, and automate workflows. Use when the user wants to interact with Blazemeter data.
Manages Dify via bundled CLI: pull/export DSL, patch working.yml, deploy, cache remote files, upload to Dify, run/chat workflows. Use when the user mentions Dify, workflow DSL, pull, deploy, dify-manage, or Dify file inputs.
BigBox integration. Manage data, records, and automate workflows. Use when the user wants to interact with BigBox data.
Diagnose and explain Cargo workflow behavior after the fact — trace why a single run produced the wrong output, sweep a batch or play for errors and group them by root cause, and profile where a play's credits go and how to cut the cost. Use when a run failed or "succeeded but looks wrong", a batch has errors, records are missing downstream values, or a play costs more than expected.
Develop the Stitch SDK. Covers the generation pipeline, dual modality (agent vs SDK), error handling, and Traffic Light (Red-Green-Yellow) implementation workflow. Use when adding features, fixing bugs, or understanding the architecture.