convex-create-component

A workflow for building reusable Convex components. Convex is a backend platform with database tables and server functions; a component keeps its own related data and exposes a small interface to an app.

In plain words
What is it for?
Use it to create a new Convex component, extract reusable backend logic, build integrations with their own tables, or package Convex functionality for several apps.
Why use it?
It helps decide whether logic belongs in a reusable component or ordinary application code. It also keeps data ownership and the boundary between the component and the app clear.

Skill for Claude CodeCodex

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

agentmods
npx agentmods add skills/resciencelab/tryskills/convex-create-component
Any agent
npx skills add ReScienceLab/TrySkills --skill convex-create-component
Clone the repo
git clone --depth 1 https://github.com/ReScienceLab/TrySkills

Made for: Claude Code, Codex.

Per session 95 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,386 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin 92% copy Near-identical to another mod in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5 $0.00095 $0.02386
Opus 5 $0.00048 $0.01193
Sonnet 5 $0.00019 $0.00477
Haiku 4.5 $0.00010 $0.00239

Measured 2d ago against content hash 94dea6b33149, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

convex-create-component scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

Origin

This is a copy

92% identical to convex-create-component — 101 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

.agents/skills/convex-create-component/SKILL.md · 289 lines

How it starts

The opening of the file, as written. The whole thing — 289 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Convex Create Component

Create reusable Convex components with clear boundaries and a small app-facing API.

When to Use

  • Creating a new Convex component in an existing app
  • Extracting reusable backend logic into a component
  • Building a third-party integration that should own its own tables and workflows
  • Packaging Convex functionality for reuse across multiple apps

When Not to Use

  • One-off business logic that belongs in the main app
  • Thin utilities that do not need Convex tables or functions
  • App-level orchestration that should stay in convex/
  • Cases where a normal TypeScript library is enough

Workflow

  1. Ask the user what they are building and what the end goal is. If the repo already makes the answer obvious, say so and confirm before proceeding.
  2. Choose the shape using the decision tree below and read the matching reference file.
  3. Decide whether a component is justified. Prefer normal app code or a regular library if the feature does not need isolated tables, backend functions, or reusable persistent state.
  4. Make a short plan for:
    • what tables the component owns
    • what public functions it exposes
    • what data must be passed in from the app (auth, env vars, parent IDs)
    • what stays in the app as wrappers or HTTP mounts
  5. Create the component structure with convex.config.ts, schema.ts, and function files.
  6. Implement functions using the component's own ./_generated/server imports, not the app's generated files.
  7. Wire the component into the app with app.use(...). If the app does not already have convex/convex.config.ts, create it.
  8. Call the component from the app through components.<name> using ctx.runQuery, ctx.runMutation, or ctx.runAction.
  9. If React clients, HTTP callers, or public APIs need access, create wrapper functions in the app instead of exposing component functions directly.
  10. Run npx convex dev and fix codegen, type, or boundary issues before finishing.

Choose the Shape

Ask the user, then pick one path:

Read the full file on GitHub · 289 lines

Files

What ships with it

6 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 2d ago First seen · 289 lines · 95 tokens per session scan A 94dea6b33149

Subscribe to this mod's changes

convex-create-component is a skill published in the GitHub repository ReScienceLab/TrySkills (2 stars, last pushed 3mo ago), licensed MIT. It adds 95 tokens to every session and 2,386 once invoked, about $0.0005 per session on Opus 5. A static security scan graded it A with 0 findings. It is 92% identical to convex-create-component, differing in 101 lines, and is treated as a copy.

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