Convex Backend
CloudAI-X/claude-workflow-v2
Convex backend development guidelines. An agent skill from CloudAI-X/claude-workflow-v2.
Convex backend specialist. An agent skill from openclaw/clawhub.
$ npx skills add openclaw/clawhub --skill convex-expert -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install openclaw/clawhub convex-expert --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/openclaw/clawhub.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.agents/skills/convex-expert .claude/skills/convex-expert && 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-expert" agent skill from https://github.com/openclaw/clawhub/tree/main/.agents/skills/convex-expert into .claude/skills/convex-expert/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "convex-expert", 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/openclaw/clawhub/tree/main/.agents/skills/convex-expertType 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 openclaw/clawhub --skill convex-expert -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install openclaw/clawhub convex-expert --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/openclaw/clawhub.git skills-src && mkdir -p .agents/skills && cp -r skills-src/.agents/skills/convex-expert .agents/skills/convex-expert && 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-expert" agent skill from https://github.com/openclaw/clawhub/tree/main/.agents/skills/convex-expert into .agents/skills/convex-expert/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "convex-expert", 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 openclaw/clawhub --skill convex-expert -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install openclaw/clawhub convex-expert --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/openclaw/clawhub.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/.agents/skills/convex-expert .cursor/skills/convex-expert && 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-expert" agent skill from https://github.com/openclaw/clawhub/tree/main/.agents/skills/convex-expert into .cursor/skills/convex-expert/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "convex-expert", 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/openclaw/clawhub.git --path .agents/skills/convex-expert--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 openclaw/clawhub --skill convex-expert -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install openclaw/clawhub convex-expert --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/openclaw/clawhub.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/.agents/skills/convex-expert .gemini/skills/convex-expert && 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-expert" agent skill from https://github.com/openclaw/clawhub/tree/main/.agents/skills/convex-expert into .gemini/skills/convex-expert/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "convex-expert", 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 openclaw/clawhub convex-expertInstalls 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 openclaw/clawhub --skill convex-expert -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/openclaw/clawhub.git skills-src && mkdir -p .github/skills && cp -r skills-src/.agents/skills/convex-expert .github/skills/convex-expert && 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-expert" agent skill from https://github.com/openclaw/clawhub/tree/main/.agents/skills/convex-expert into .github/skills/convex-expert/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "convex-expert", 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 openclaw/clawhub --skill convex-expert -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install openclaw/clawhub convex-expert --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/openclaw/clawhub.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/.agents/skills/convex-expert .opencode/skills/convex-expert && 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-expert" agent skill from https://github.com/openclaw/clawhub/tree/main/.agents/skills/convex-expert into .opencode/skills/convex-expert/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "convex-expert", 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-expertConvex backend specialist. An agent skill from openclaw/clawhub.
Convex Expert is an agent skill from openclaw/clawhub. Convex backend specialist. Use this agent for any code inside a convex/ directory — function definitions, schemas, indexes, queries, mutations, actions, HTTP endpoints, cron jobs, file storage, auth wiring, and component installation. Knows the object-form function syntax, validator patterns, resource limits, and component ecosystem that generic Claude routinely gets wrong.
Its SKILL.md is about 1.1k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It sits in Backend & APIs, covering File uploads and storage. It works with Convex. The repository describes itself as: Skill + Plugin Registry for OpenClaw. The licence is MIT.
6 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit d044664. 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.
No URLs in SKILL.md. Its commands use npx, which can reach the network depending on how they are called.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Convex Expert loads about 1.1k tokens when it runs. Until then it costs about 98 tokens; SKILL.md has 520 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 noted patterns worth knowing about, such as sudo or a known installer.
g anonymous on a signed-in user rebinds `.env.local` and costs them the persistent, publishable cloud deployment they exAutomated 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 openclaw/clawhub at commit d044664, republished under its MIT licence (© openclaw). 520 words, ~1,108 tokens.
.claude/skills/convex-expert/SKILL.md (or your agent's skills folder).<!-- GENERATED from convex-agents content/capabilities/convex-expert.json — do not edit by hand. -->
Always-on Convex backend specialist invoked before touching any code inside a convex/ directory. Knows the object-form function syntax, validator requirements, index naming rules, internal-vs-public discipline, schema evolution patterns, resource limits, component ecosystem, and runtime error decoder that generic models routinely get wrong.
.collect() on a table that can grow — use .withIndex(...) and .paginate(paginationOptsValidator)/.take(n) instead. This is the single most common Convex deploy-blocking and perf defect..index(...) in schema.ts for every read path and query it with .withIndex(...); .filter() is a full table scan, never a substitute for a WHERE.query/mutation/action/internalQuery/internalMutation/internalAction come from "./_generated/server"; api/internal come from "./_generated/api"; NEVER import { query } from "convex/server" or import { internal } from "./_generated/server" in application code — both are hard deploy failures.v.literal("exact value") for a fixed string/enum member (e.g. v.union(v.literal("open"), v.literal("closed"))) — not a bare v.string() when the set of values is fixed."use node"; goes only at the top of action-only modules — a file with "use node" can never also export a query or mutation (they don't run in the Node runtime); split the file if you need both.convex/ directory — never write schema.ts/queries/mutations/actions at the project root.npx tsc --noEmit and push it to a deployment. Prefer the project's existing one; otherwise npx convex dev --once when npx convex whoami succeeds, and CONVEX_AGENT_MODE=anonymous npx convex dev --once ONLY when it does not. Forcing anonymous on a signed-in user rebinds .env.local and costs them the persistent, publishable cloud deployment they expect. Fix every error it reports before finishing — one verify round catches the wrong-relative-import / duplicate-symbol / unbalanced-paren class that otherwise breaks the deploy.© openclaw, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Just SKILL.md in .agents/skills/convex-expert of openclaw/clawhub.
Open the folder on GitHubat commit d044664
We found 1 copy of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in openclaw/clawhub, which our catalogue first saw on October 7, 2026.
Convex Expert 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 Expert this skillopenclaw/clawhub | 9.5k | 1 repos | ~1.1k | Automated safety check: Notes | MIT | |
| Convex BackendCloudAI-X/claude-workflow-v2 | 1.4k | — | ~1.1k | Automated safety check: Pass | MIT | |
| Stripe Projectsfossasia/eventyay | 1.7k | 5 repos | ~2k | Automated safety check: Notes | Apache-2.0 | |
| FoundatioFoundatioFx/Foundatio | 2.1k | — | ~3.9k | Automated safety check: Pass | Apache-2.0 | |
| Spatialduckdb/duckdb-skills | 604 | 1 repos | ~1k | Automated safety check: Notes | MIT | |
| R Oopab604/claude-code-r-skills | 206 | 2 repos | ~1.9k | Automated safety check: Pass | MIT |
CloudAI-X/claude-workflow-v2
Convex backend development guidelines. An agent skill from CloudAI-X/claude-workflow-v2.
fossasia/eventyay
A skill your agent uses when the user wants to provision infrastructure or third-party services using Stripe Projects.
FoundatioFx/Foundatio
A skill your agent uses when working with Foundatio infrastructure abstractions for .NET -- caching, queuing, messaging, file storage, distributed locking, or background jobs.
duckdb/duckdb-skills
Answer questions about spatial data using DuckDB. An agent skill from duckdb/duckdb-skills.
ab604/claude-code-r-skills
R object-oriented programming guide for S7, S3, S4, and vctrs.
edgestorejs/edgestore
A skill your agent uses when adding, extending, or troubleshooting EdgeStore file uploads, upload UI, or bucket access policies in a TypeScript/React application.
openclaw/clawhub
Creates and manages Axiom monitors and notifiers end to end through the v2 API, with scripts for each CRUD operation and a recommended create-validate-tune workflow.
openclaw/clawhub
Designs and deploys Axiom dashboards through the API, choosing chart types and writing APL or metrics queries, with templates and migration notes for Splunk and Grafana.
openclaw/clawhub
Finds unused data in Axiom by analyzing query patterns, then deploys a cost dashboard and ingest monitors to keep spend under the contract limit.
openclaw/clawhub
Explores and queries OpenTelemetry metrics in Axiom MetricsDB, listing datasets, metrics and tags first and picking the right aggregation for each metric's type.
openclaw/clawhub
Investigates incidents and production problems with hypothesis-driven debugging, queries Axiom observability data when available, and keeps secrets out of commands and output.
openclaw/clawhub
Scaffolds evaluation suites for the Axiom AI SDK: eval files, scorers, flag schemas and axiom.config.ts, generated from plain descriptions of an AI capability.
Works with
Categories
Convex backend specialist. An agent skill from openclaw/clawhub. Convex Expert is an agent skill from openclaw/clawhub. Convex backend specialist.
Convex Expert fits situations like: tasks that involve File uploads and storage.
Run `npx skills add openclaw/clawhub --skill convex-expert -a claude-code`. Or copy the skill folder (.agents/skills/convex-expert in openclaw/clawhub) into .claude/skills/convex-expert in your project. Claude Code loads it when a task matches its description.
Run `npx skills add openclaw/clawhub --skill convex-expert -a codex`. Or copy the skill folder (.agents/skills/convex-expert in openclaw/clawhub) into .agents/skills/convex-expert 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 openclaw/clawhub --skill convex-expert -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-expert, .gemini/skills/convex-expert, .github/skills/convex-expert and .opencode/skills/convex-expert in your project.
Going by SKILL.md and its folder, Convex Expert needs the command-line tools its instructions call (npx). Our summary lists: Node.js.
SKILL.md contains no URLs. Its commands use npx, which can reach the network depending on how they are called. This is read from the text; nothing was executed.
Our automated static check of SKILL.md found notes only (mentions a .env file), nothing it rates as a warning. It is not a guarantee. Review the folder before installing.
Convex Expert is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 1.1k tokens (SKILL.md is roughly 4.4k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Convex Expert: Convex Backend (CloudAI-X/claude-workflow-v2, 1.4k stars), Stripe Projects (fossasia/eventyay, 1.7k stars), Foundatio (FoundatioFx/Foundatio, 2.1k stars) and Spatial (duckdb/duckdb-skills, 604 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
openclaw (a GitHub organization) maintains it in openclaw/clawhub, which has 9,500 GitHub stars. The repository holds 55 skills in this directory. The repository was last updated on October 8, 2026.
Source: openclaw/clawhub on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.