Catalog›Agent skills›Cloud & DevOps›convex-envCEconvex-envSet and wire Convex deployment env vars / secrets for the app. Open site Project Open in the app JSON README (API)Set and wire Convex deployment env vars / secrets for the app.READMELoading documentation…# Convex Agent Skills Agent skills for common Convex workflows. ## License Unless otherwise noted, all original content in this repository is licensed under the [Apache License 2.0](https://github.com/get-convex/agent-skills/blob/HEAD/LICENSE). This includes the skill instructions, reference documentation, and source code in revisions that include this license. It does not retroactively change the licensing of earlier revisions. Third-party materials remain under their respective licenses. See [THIRD_PARTY_NOTICES.md](https://github.com/get-convex/agent-skills/blob/HEAD/THIRD_PARTY_NOTICES.md) for details. ## Install ```bash # Choose which skills you want npx skills add convex/agent-skills # OR Install all skills npx skills add convex/agent-skills --all ``` ## Usage Skills are applied automatically when the agent determines they're relevant. How you manually invoke them depends on your tool: | Tool | Manual invocation | | ------------------------ | ----------------- | | Cursor | `/skill-name` | | VS Code (GitHub Copilot) | `/skill-name` | | Claude Code | `/skill-name` | | Windsurf | `@skill-name` | | Codex (OpenAI) | `$skill-name` | For example, to kick off auth setup in Cursor or Claude Code: ``` /convex-setup-auth ``` In Windsurf: ``` @convex-setup-auth ``` ## Available Skills - `convex` - Top-level entry point for Convex work. Recommends installing Convex AI files, then routes to a more specific Convex skill. - `convex-quickstart` - Start a new Convex project or add Convex to an existing app. - `convex-setup-auth` - Set up authentication for a Convex app. - `convex-create-component` - Build a reusable Convex component with clear boundaries. - `convex-migration-helper` - Plan and run Convex migrations safely. - `convex-performance-audit` - Investigate Convex performance problems and bottlenecks. ## Skill Philosophy Skills in this repo should be laser-focused on a specific task or workflow. A good skill helps an agent take action, for example: - set up authentication - create a component - perform a migration - diagnose performance issues A skill should not exist just to provide generic background information. If content is mostly reference material, it should usually live in documentation, not as a standalone skill. Reference material is still useful inside a skill, but only when it helps the agent complete a concrete task. ## Contributing Before contributing, review the core Agent Skills docs: - [Overview](https://agentskills.io/home) - [What are skills?](https://agentskills.io/what-are-skills) - [Specification](https://agentskills.io/specification) - [Optimizing skill descriptions](https://agentskills.io/skill-creation/optimizing-descriptions) - [Evaluating skill output quality](https://agentskills.io/skill-creation/evaluating-skills) If your skill bundles scripts, also read [Using scripts in skills](https://agentskills.io/skill-creation/using-scripts). Install dependencies once with `pnpm install`, then use: - `pnpm format` to rewrite files - `pnpm format-check` to verify formatting before opening a PR ### Validating Skills Validate skills by trying to use them in a realistic temp project, not just by reading them. - Push the skill as far as possible with an agent in a throwaway directory - If a human must intervene, ask explicitly for the exact action needed and then continue - Record what worked, where the agent got stuck, and what confused the flow - Feed those learnings back into the skill so the next run is better - For UI-facing skills such as auth setup, validate the actual browser flow during skill development, not just code generation or a successful build ### Testing with Anthropic's Skill Creator For a more rigorous approach, use Anthropic's [skill-creator](https://github.com/anthropics/skills/tree/main/skills/skill-creator) skill. It provides a structured loop for testing and iterating on skills: 1. Draft or edit a skill 2. Define realistic test prompts and run the skill against them (with and without the skill as a baseline) 3. Grade the outputs with assertions and review them in a browser-based viewer 4. Improve the skill based on feedback, then repeat It also includes a description optimizer that tunes the skill's frontmatter description for better triggering accuracy across different phrasings. Install it in Claude Code: ```bash /install-skill https://github.com/anthropics/skills/tree/main/skills/skill-creator ``` This is especially useful when a skill is complex enough that reading it alone won't tell you if it actually works well in practice. Each skill follows the [Agent Skills open standard](https://github.com/anthropics/skills): 1. Create a directory under `skills/` with the skill name 2. Add a `SKILL.md` file with YAML frontmatter: ```yaml --- name: skill-name description: Brief description --- ``` 3. Include comprehensive examples with bad/good patterns 4. Add a checklist at the end of each skill 5. Update this root `README.md` whenever skills are added, removed, renamed, or substantially repositioned DetailsTypeAgent skillsTopicCloud & DevOpsPublisherget-convexSourceskillsshCategoryToolsStars68Copies (forks)12Proposed changes4Last update2026-10-27T01:34:32ZProject statusActiveLanguageTypeScriptLicenseApache-2.0Added2026-08-30 15:21:15Updated2026-09-10 01:01:28Source idget-convex/agent-skills/convex-envMoreMore agent skills on Cloud & DevOpsAll from get-convexA–Z index
