Agent
by get-convex6ca54f6e2e75No license6 starsListed Oct 8, 2026Updated Oct 8, 2026Repository updated today
Add an AI agent / chatbot / RAG backend on Convex with @convex-dev/agent (durable threads, messages, tools, vector search). TRIGGER when the user wants an AI assistant/chatbot/agent or 'chat with my docs' feature. Calls models through the Convex AI Gateway — no provider key to manage.
Only the file list is public. File contents are available once the skill is installed in a workspace.
| Path | Size | Type |
|---|---|---|
| SKILL.md | 1.8 KB | text/markdown |
Source and attribution
Source:get-convex/convex-backend-skillinskills/agentat commit6ca54f6
License: No license
Content belongs to its original authors. SourceWeft indexes it from a public repository.
More from get-convex/convex-backend-skill
Workflow
get-convex
Guides building durable multi-step pipelines on Convex with the @convex-dev/workflow component, retrying each step independently.
Test
get-convex
Generates vitest test suites for Convex backend functions using the in-memory convex-test library.
Suggest
get-convex
Suggests the appropriate Convex component when a Convex app hand-rolls functionality that already exists as a component.
Seed
get-convex
Seeds a Convex database with fixture data or imports CSV/JSON datasets idempotently.
Migrate
get-convex
Guides safe schema migration and data backfill on a deployed Convex app using @convex-dev/migrations.
Domains
get-convex
Guides attaching a user-owned domain to a Convex app with exact DNS records, domain attachment and auth-origin rebinding.
More in AI & Agents
Skill Development
anthropics
Guides creation of Claude Code plugin skills, covering structure, descriptions, progressive disclosure and validation.
Plugin Structure
anthropics
Guides the structure, manifest, and component layout of Claude Code plugins.
Command Development
anthropics
Guides creation of Claude Code slash commands, covering structure, YAML frontmatter, arguments and plugin features.
Claude Md Improver
anthropics
Audits CLAUDE.md files in a repository, scores their quality, and applies approved targeted improvements.
Google Cloud Solution Agentic Ai Data Science Workflow
Guides design of a multi-product agentic data science architecture on Google Cloud, from requirements to deployment and validation.
Google Cloud Solution Agentic Ai Borderless Data Lakehouse
Guides design of a borderless multicloud open data lakehouse on Google Cloud, from requirements discovery to deployment and validation.