Isolated Space Boundary
openchamber/openchamber
A skill your agent uses when changing isolated-space trust boundaries: container hardening, networks and gatekeeper policy, exec and lifecycle, grants and credentials, code transfer and apply…
Design and build Convex components with clear boundaries, isolated state, and app-facing wrappers.
$ npx skills add vvedantb/eva --skill convex-create-component -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install vvedantb/eva convex-create-component --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/vvedantb/eva.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.claude/skills/convex-create-component .claude/skills/convex-create-component && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "convex-create-component" agent skill from https://github.com/vvedantb/eva/tree/main/.claude/skills/convex-create-component into .claude/skills/convex-create-component/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "convex-create-component", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/vvedantb/eva/tree/main/.claude/skills/convex-create-componentType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add vvedantb/eva --skill convex-create-component -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install vvedantb/eva convex-create-component --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/vvedantb/eva.git skills-src && mkdir -p .agents/skills && cp -r skills-src/.claude/skills/convex-create-component .agents/skills/convex-create-component && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "convex-create-component" agent skill from https://github.com/vvedantb/eva/tree/main/.claude/skills/convex-create-component into .agents/skills/convex-create-component/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "convex-create-component", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add vvedantb/eva --skill convex-create-component -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install vvedantb/eva convex-create-component --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/vvedantb/eva.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/.claude/skills/convex-create-component .cursor/skills/convex-create-component && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "convex-create-component" agent skill from https://github.com/vvedantb/eva/tree/main/.claude/skills/convex-create-component into .cursor/skills/convex-create-component/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "convex-create-component", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/vvedantb/eva.git --path .claude/skills/convex-create-component--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add vvedantb/eva --skill convex-create-component -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install vvedantb/eva convex-create-component --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/vvedantb/eva.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/.claude/skills/convex-create-component .gemini/skills/convex-create-component && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "convex-create-component" agent skill from https://github.com/vvedantb/eva/tree/main/.claude/skills/convex-create-component into .gemini/skills/convex-create-component/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "convex-create-component", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install vvedantb/eva convex-create-componentInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add vvedantb/eva --skill convex-create-component -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/vvedantb/eva.git skills-src && mkdir -p .github/skills && cp -r skills-src/.claude/skills/convex-create-component .github/skills/convex-create-component && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "convex-create-component" agent skill from https://github.com/vvedantb/eva/tree/main/.claude/skills/convex-create-component into .github/skills/convex-create-component/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "convex-create-component", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add vvedantb/eva --skill convex-create-component -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install vvedantb/eva convex-create-component --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/vvedantb/eva.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/.claude/skills/convex-create-component .opencode/skills/convex-create-component && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "convex-create-component" agent skill from https://github.com/vvedantb/eva/tree/main/.claude/skills/convex-create-component into .opencode/skills/convex-create-component/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "convex-create-component", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
convex-create-componentDesign and build Convex components with clear boundaries, isolated state, and app-facing wrappers.
Convex Create Component is an agent skill from vvedantb/eva. Design and build Convex components with clear boundaries, isolated state, and app-facing wrappers. Use when creating a new Convex component, extracting reusable backend logic into one, or packaging Convex functionality for reuse across apps.
Its SKILL.md is about 3.3k tokens, which your agent loads only when the skill is triggered. The skill folder holds 8 other files, including reference files and assets (for example `agents/openai.yaml`, `references/hybrid-components.md` and `references/local-components.md`).
The repository describes itself as: Orchestrate sandboxed agents that run in the cloud while you work. The licence is MIT.
10 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit 166d464. It shows what the files ask for, not the result of running them.
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Shell commands in SKILL.md call:
npxFrom the folder's file list and the shell code blocks in SKILL.md.
Links to these hosts (documentation or services it may open):
docs.convex.devFrom URLs in SKILL.md, links to its own repository left out.
Names these keys or tokens, usually read from environment variables:
OPENAI_API_KEYFrom names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Convex Create Component loads about 3.3k tokens when it runs, and up to ~4.3k if it reads all its reference files. Until then it costs about 66 tokens; SKILL.md has 815 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
The full file from vvedantb/eva at commit 166d464, republished under its MIT licence (© vvedantb). 815 words, ~3,334 tokens.
.claude/skills/convex-create-component/SKILL.md (or your agent's skills folder). This skill also uses 5 other files; get the full folder from GitHub.Create reusable Convex components with clear boundaries and a small app-facing API.
convex/convex.config.ts, schema.ts, and function files../_generated/server imports, not the app's generated files.app.use(...). If the app does not already have convex/convex.config.ts, create it.components.<name> using ctx.runQuery, ctx.runMutation, or ctx.runAction.npx convex dev and fix codegen, type, or boundary issues before finishing.Ask the user, then pick one path:
| Goal | Shape | Reference |
|---|---|---|
| Component for this app only | Local | references/local-components.md |
| Publish or share across apps | Packaged | references/packaged-components.md |
| User explicitly needs local + shared library code | Hybrid | references/hybrid-components.md |
| Not sure | Default to local | references/local-components.md |
Read exactly one reference file before proceeding.
Unless the user explicitly wants an npm package, default to a local component:
convex/components/<componentName>/defineComponent(...) in its own convex.config.tsconvex/convex.config.ts with app.use(...)npx convex dev generate the component's own _generated/ filesA minimal local component with a table and two functions, plus the app wiring.
// convex/components/notifications/convex.config.ts
import { defineComponent } from "convex/server";
export default defineComponent("notifications");// convex/components/notifications/schema.ts
import { defineSchema, defineTable } from "convex/server";
import { v } from "convex/values";
export default defineSchema({
notifications: defineTable({
userId: v.string(),
message: v.string(),
read: v.boolean(),
}).index("by_user", ["userId"]),
});// convex/components/notifications/lib.ts
import { v } from "convex/values";
import { mutation, query } from "./_generated/server.js";
export const send = mutation({
args: { userId: v.string(), message: v.string() },
returns: v.id("notifications"),
handler: async (ctx, args) => {
return await ctx.db.insert("notifications", {
userId: args.userId,
message: args.message,
read: false,
});
},
});
export const listUnread = query({
args: { userId: v.string() },
returns: v.array(
v.object({
_id: v.id("notifications"),
_creationTime: v.number(),
userId: v.string(),
message: v.string(),
read: v.boolean(),
}),
),
handler: async (ctx, args) => {
return await ctx.db
.query("notifications")
.withIndex("by_user", (q) => q.eq("userId", args.userId))
.filter((q) => q.eq(q.field("read"), false))
.collect();
},
});// convex/convex.config.ts
import { defineApp } from "convex/server";
import notifications from "./components/notifications/convex.config.js";
const app = defineApp();
app.use(notifications);
export default app;// convex/notifications.ts (app-side wrapper)
import { v } from "convex/values";
import { mutation, query } from "./_generated/server";
import { components } from "./_generated/api";
import { getAuthUserId } from "@convex-dev/auth/server";
export const sendNotification = mutation({
args: { message: v.string() },
returns: v.null(),
handler: async (ctx, args) => {
const userId = await getAuthUserId(ctx);
if (!userId) throw new Error("Not authenticated");
await ctx.runMutation(components.notifications.lib.send, {
userId,
message: args.message,
});
return null;
},
});
export const myUnread = query({
args: {},
handler: async (ctx) => {
const userId = await getAuthUserId(ctx);
if (!userId) throw new Error("Not authenticated");
return await ctx.runQuery(components.notifications.lib.listUnread, {
userId,
});
},
});Note the reference path shape: a function in convex/components/notifications/lib.ts is called as components.notifications.lib.send from the app.
ctx.auth is not available inside components.process.env.Id types become plain strings in the app-facing ComponentApi.v.id("parentTable") for app-owned tables inside component args or schema.query, mutation, and action from the component's own ./_generated/server.convex/http.ts.paginator from convex-helpers instead of built-in .paginate().args and returns validators to all public component functions.// Bad: component code cannot rely on app auth or env
const identity = await ctx.auth.getUserIdentity();
const apiKey = process.env.OPENAI_API_KEY;// Good: the app resolves auth and env, then passes explicit values
const userId = await getAuthUserId(ctx);
if (!userId) throw new Error("Not authenticated");
await ctx.runAction(components.translator.translate, {
userId,
apiKey: process.env.OPENAI_API_KEY,
text: args.text,
});// Bad: assuming a component function is directly callable by clients
export const send = components.notifications.send;// Good: re-export through an app mutation or query
export const sendNotification = mutation({
args: { message: v.string() },
returns: v.null(),
handler: async (ctx, args) => {
const userId = await getAuthUserId(ctx);
if (!userId) throw new Error("Not authenticated");
await ctx.runMutation(components.notifications.lib.send, {
userId,
message: args.message,
});
return null;
},
});// Bad: parent app table IDs are not valid component validators
args: {
userId: v.id("users");
}// Good: treat parent-owned IDs as strings at the boundary
args: {
userId: v.string();
}When the app needs to pass a callback function to the component, use function handles. This is common for components that run app-defined logic on a schedule or in a workflow.
// App side: create a handle and pass it to the component
import { createFunctionHandle } from "convex/server";
export const startJob = mutation({
handler: async (ctx) => {
const handle = await createFunctionHandle(internal.myModule.processItem);
await ctx.runMutation(components.workpool.enqueue, {
callback: handle,
});
},
});// Component side: accept and invoke the handle
import { v } from "convex/values";
import type { FunctionHandle } from "convex/server";
import { mutation } from "./_generated/server.js";
export const enqueue = mutation({
args: { callback: v.string() },
handler: async (ctx, args) => {
const handle = args.callback as FunctionHandle<"mutation">;
await ctx.scheduler.runAfter(0, handle, {});
},
});Instead of manually repeating field types in return validators, extend the schema validator:
import { v } from "convex/values";
import schema from "./schema.js";
const notificationDoc = schema.tables.notifications.validator.extend({
_id: v.id("notifications"),
_creationTime: v.number(),
});
export const getLatest = query({
args: {},
returns: v.nullable(notificationDoc),
handler: async (ctx) => {
return await ctx.db.query("notifications").order("desc").first();
},
});A common pattern for component configuration is a single-document "globals" table:
// schema.ts
export default defineSchema({
globals: defineTable({
maxRetries: v.number(),
webhookUrl: v.optional(v.string()),
}),
// ... other tables
});// lib.ts
export const configure = mutation({
args: { maxRetries: v.number(), webhookUrl: v.optional(v.string()) },
returns: v.null(),
handler: async (ctx, args) => {
const existing = await ctx.db.query("globals").first();
if (existing) {
await ctx.db.patch(existing._id, args);
} else {
await ctx.db.insert("globals", args);
}
return null;
},
});For components with many functions or configuration options, a class-based client provides a cleaner API. This pattern is common in published components.
// src/client/index.ts
import type { GenericMutationCtx, GenericDataModel } from "convex/server";
import type { ComponentApi } from "../component/_generated/component.js";
type MutationCtx = Pick<GenericMutationCtx<GenericDataModel>, "runMutation">;
export class Notifications {
constructor(
private component: ComponentApi,
private options?: { defaultChannel?: string },
) {}
async send(ctx: MutationCtx, args: { userId: string; message: string }) {
return await ctx.runMutation(this.component.lib.send, {
...args,
channel: this.options?.defaultChannel ?? "default",
});
}
}// App usage
import { Notifications } from "@convex-dev/notifications";
import { components } from "./_generated/api";
const notifications = new Notifications(components.notifications, {
defaultChannel: "alerts",
});
export const send = mutation({
args: { message: v.string() },
handler: async (ctx, args) => {
const userId = await getAuthUserId(ctx);
await notifications.send(ctx, { userId, message: args.message });
},
});Try validation in this order:
npx convex codegen --component-dir convex/components/<name>npx convex codegennpx convex devImportant:
CONVEX_DEPLOYMENT is configured../_generated/* imports and app-side components.<name>... references will not typecheck.Read exactly one of these after the user confirms the goal:
references/local-components.mdreferences/packaged-components.mdreferences/hybrid-components.mdOfficial docs: Authoring Components
convex/components/<name>/ (or package layout if publishing)./_generated/serverv.string()args and returns validatorsnpx convex dev and fixed codegen or type issues© vvedantb, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
SKILL.md and 5 other files (references, assets) in .claude/skills/convex-create-component of vvedantb/eva.
Open the folder on GitHubat commit 166d464
Convex Create Component next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Convex Create Component this skillvvedantb/eva | 101 | — | ~3.3k | Automated safety check: Pass | MIT | |
| Isolated Space Boundaryopenchamber/openchamber | 11k | — | ~2k | Automated safety check: Pass | MIT | |
| Convexdavila7/claude-code-templates | 32k | 3 repos | ~6.4k | Automated safety check: Notes | MIT | |
| Convexopenclaw/clawhub | 9.5k | — | ~2.4k | Automated safety check: Pass | MIT | |
| Convex Backendsickn33/agentic-awesome-skills | 47k | 2 repos | ~2.2k | Automated safety check: Notes | MIT | |
| Cross Origin Isolationthedaviddias/Front-End-Checklist | 74k | — | ~565 | Automated safety check: Pass | MIT |
openchamber/openchamber
A skill your agent uses when changing isolated-space trust boundaries: container hardening, networks and gatekeeper policy, exec and lifecycle, grants and credentials, code transfer and apply…
davila7/claude-code-templates
Convex reactive backend expert: schema design, TypeScript functions, real-time subscriptions, auth, file storage, scheduling, and deployment.
openclaw/clawhub
Convex is the backend agents get right on the first try: an all-TypeScript reactive platform where the database, server functions, scheduling, file storage, auth, and realtime sync are one type-safe…
sickn33/agentic-awesome-skills
Build reactive backends with Convex functions, schema validation, auth integration, and deployment workflows.
thedaviddias/Front-End-Checklist
A skill your agent uses when reviewing security-sensitive web apps, SharedArrayBuffer usage, worker-heavy apps, editors, or measurement features that require cross-origin isolation.
openclaw/clawhub
Add an AI agent / RAG backend (@convex-dev/agent) to the Convex app.
vvedantb/eva
Record a real agent-browser screencast of one eva feature being used end to end, convert it to an X-ready mp4, and write a tweet for it.
vvedantb/eva
Build an animation from scratch, making the decisions in the order that determines whether it feels right — should it animate at all, what purpose, which tool, which properties, which curve and…
vvedantb/eva
Grab a single clean HD screenshot of a new eva feature from the real running app (Playwright at deviceScaleFactor 2, 1280 layout captured crisp at 2560×1440, dev overlays hidden) and write a tweet…
vvedantb/eva
A skill your agent uses when multiple workflows duplicate the same operational logic, when deciding what belongs in actions vs shared services, or when refactoring repeated operational blocks across…
vvedantb/eva
Produce polished, mobile-friendly product demo videos of the eva app with Remotion — 1280×720, snappy beat-synced hard cuts, lo-fi music that swells on every cut, and footage captured from the REAL…
vvedantb/eva
Use the Libraries.dev UI effect libraries correctly and find where they fit in a project.
Design and build Convex components with clear boundaries, isolated state, and app-facing wrappers. Convex Create Component is an agent skill from vvedantb/eva. Design and build Convex components with clear boundaries, isolated state, and app-facing wrappers.
Convex Create Component fits situations like: creating a new Convex component; extracting reusable backend logic into one; packaging Convex functionality for reuse across apps.
Run `npx skills add vvedantb/eva --skill convex-create-component -a claude-code`. Or copy the skill folder (.claude/skills/convex-create-component in vvedantb/eva) into .claude/skills/convex-create-component in your project. Claude Code loads it when a task matches its description.
Run `npx skills add vvedantb/eva --skill convex-create-component -a codex`. Or copy the skill folder (.claude/skills/convex-create-component in vvedantb/eva) into .agents/skills/convex-create-component in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add vvedantb/eva --skill convex-create-component -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/convex-create-component, .gemini/skills/convex-create-component, .github/skills/convex-create-component and .opencode/skills/convex-create-component in your project.
Going by SKILL.md and its folder, Convex Create Component needs the command-line tools its instructions call (npx) and credentials named OPENAI_API_KEY. Our summary lists: Node.js; A credential in OPENAI_API_KEY.
SKILL.md names 1 domain. As links in the text: docs.convex.dev. This is read from the text; nothing was executed.
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
Convex Create Component is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 3.3k tokens (SKILL.md is roughly 13k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 985 tokens, read only when the agent opens those files.
Skills that share tags, products or a category with Convex Create Component: Isolated Space Boundary (openchamber/openchamber, 11k stars), Convex (davila7/claude-code-templates, 32k stars), Convex (openclaw/clawhub, 9.5k stars) and Convex Backend (sickn33/agentic-awesome-skills, 47k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
vvedantb (a GitHub user) maintains it in vvedantb/eva, which has 101 GitHub stars. The repository holds 23 skills in this directory. The repository was last updated on October 6, 2026.
Source: vvedantb/eva on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.