Convex Advisor
Turn the live deployment's 72h health events into evidence-backed findings with root-caused fixes
- What
- Turn the live deployment's 72h health events into evidence-backed findings with root-caused fixes
- Cost
- Free
- Needs
- a Convex project (see the repo README for setup); a cloud Convex deployment with ~72h of traffic (dev or prod); the official Convex MCP
- Install
- Copy the installer prompt below into your Muse — your agent does the rest.
Curated by Skill Harbor — "the deployment knows": reads the typed 72h health events from the official Convex MCP `insights` tool (documentsReadLimit, bytesReadLimit, occFailedPermanently, occRetried, thresholds), root-causes each event in the flagged function's actual code, and emits evidence-backed findings with concrete fixes on the findings bus — missing index → `.withIndex`; read-modify-write hotspot → `@convex-dev/sharded-counter`. Distinct from `get-convex-convex-insights` (lot 32): insights is the disciplined READING of MCP tools (logs, functionSpec) to turn an operational question into narrow queries; advisor is ANALYSIS + root-cause + actionable findings. And if the deployment has no evidence, the advisor has no findings — it says so instead of inventing them. By @get-convex, listed here with credit to its creator. Honest caveats: requires a cloud Convex deployment with ~72h of traffic (the insights tool is unavailable on previews/deploy-key contexts); advisory passes are read-only by construction, they apply no fix without confirmation. Skill Harbor never reviews the code, review it yourself before use.
Version:
Install
Prerequisites: a Convex project (see the repo README for setup); a cloud Convex deployment with ~72h of traffic (dev or prod); the official Convex MCP Install "Convex Advisor" for me. Give my agent the workflow for advising on my live Convex deployment: read the typed 72h health events via the MCP insights tool, root-cause each event in the actual function code, emit evidence-backed findings (perf/cost/health) with concrete fixes — and say so honestly if the deployment has no evidence Repository: https://github.com/get-convex/agent-skills/blob/main/skills/convex-advisor/SKILL.md 1. Fetch the SKILL.md file for the get-convex-agent-skills-convex-advisor skill from the repository into a temporary folder and summarize what it does in one or two sentences. 2. Safety check: review the SKILL.md for anything suspicious (unexpected network calls, shell commands, credential harvesting). This repo should contain zero secrets in code, credentials only via the secure vault, allowed hosts declared in the SKILL.md. Verify that holds here; STOP on any red flag and tell me. 3. Install it as a skill: copy SKILL.md into the agent's skills directory, in a folder named "get-convex-agent-skills-convex-advisor". 4. Verify with no network calls: frontmatter valid, files in place. 5. Report what was installed, where, and what I still need to do myself (e.g. have a cloud deployment with traffic, install the Convex MCP). GitHub is optional: if I have a GitHub account or the gh CLI, you may use it; otherwise public access is fine. Never require it unless it's in the prerequisites above. Rules: don't touch anything outside the temp folder and the install target. Never ask me to paste secrets in chat — credentials go through the secure vault or environment variables. If anything looks off, stop and ask me.
Questions
How do I install a build?
Every product page includes a copy-paste install prompt. Paste it into your Muse and it sets the build up for you — no manual configuration.
Where does my money go?
Straight to the seller. Skill Harbor never processes payments: checkout happens on the seller’s own page, usually Stripe.
What does the ✓ next to a creator’s name mean?
It means we confirmed the identity of the person behind the listing. It says nothing about the code itself — always check a build before installing it.