estuary-connector-restart SKILL.md skillA

estuary-connector-restart from estuary/agent-skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add estuary/agent-skills/estuary-connector-restart@git:20260505.8873932

Pins git:20260505.8873932 in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
estuary/agent-skills
Path
skills/estuary-connector-restart/SKILL.md
Versions recorded
1
Latest version
git:20260505.8873932, committed May 5, 2026
Size
4,077 bytes
Repository stars
7
License
Apache-2.0

Pause and restart Estuary connectors by disabling and re-enabling shards via flowctl. Use when temporarily stopping a connector, performing source/destination maintenance, or forcing a fresh restart to clear transient errors or load updated configs immediately. Use when user says "pause connector", "stop connector", "restart connector", "disable connector", "enable connector", "re-enable task", "disable shards", "stop my capture", "stop my materialization", "disable my materialization…

Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.

What the file says

# Restart a Connector — Disable and Re-enable via flowctl

Temporarily pause a capture or materialization by disabling its shards, then re-enable it. The connector resumes from its last checkpoint — no data is lost. Works for both captures and materializations.

## Prerequisites

```bash
flowctl auth login
```

## Step 1: Pull the current spec

```bash
flowctl catalog pull-specs --name <task-name>
```

This creates a `flow.yaml` and a directory with the task's YAML spec.

## Step 2: Disable the connector

Edit the task's YAML file (under `<task-name>/flow.yaml`) and add a `shards` block at the same level as `endpoint` and `bindings`:

```yaml
captures:
  acmeCo/source-postgres:
    endpoint:
      connector:
        image: ghcr.io/estuary/source-postgres:v1
        config: ...
    bindings:
      - resource: ...
        target: ...
    # Add this block to disable:
    shards:
      disable: true
    # To re-enable: remove the shards block and any expectPubId line
```

If a `shards` section already exists, just add `disable: true` to it.

Publish to apply:
```bash
flowctl catalog publish --source flow.yaml --auto-approve
```

Confirm it's disabled:
```bash
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add estuary/agent-skills/estuary-connector-restart@sha256:1291a757dfbe9ef5

The line at the top of this page pins the label git:20260505.8873932, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.

Badge

mdr badge

[![mdr](https://markdownregistry.com/badge/art_f37nhfu3j4rkes5l.svg)](https://markdownregistry.com/a/art_f37nhfu3j4rkes5l)

2 badge image fetches in 30 days. What the badge shows.

Versions

The registry has recorded 1 version of this file, committed on May 5, 2026.

versioncommittedcommitsizeaudit
git:20260505.8873932 latest2026-05-05 8873932 4,077 BA view

Audit of the latest version

A  17 of 17 checks passed. Fixed automatic checks with no AI involved, so the same checks give the same answer every run.
  • pass: Frontmatter block present
  • pass: Frontmatter declares a name
  • pass: Frontmatter declares a description
  • pass: Size between 200 bytes and 200 KB (4077 bytes)
  • pass: No zero-width or bidi control characters
  • pass: No instruction hidden inside an HTML comment
  • pass: No link to an exfiltration or paste host
  • pass: No credential-shaped string
  • pass: No instruction to send local credentials anywhere
  • pass: No text hidden with inline styles
  • pass: No prompt-injection phrasing
  • pass: No curl or wget piped into a shell
  • pass: No recursive delete of root, home or parent
  • pass: No instruction to read or print local credentials
  • pass: No base64 blob over 200 characters
  • pass: No link to a raw IP address
  • pass: No script tag

Source

GitHub

estuary/agent-skills · 7 stars · license Apache-2.0 · pushed 2026-11-04 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_f37nhfu3j4rkes5l
GET https://markdownregistry.com/api/v1/resolve?ref=estuary/agent-skills/estuary-connector-restart
GET https://markdownregistry.com/api/v1/blob/1291a757dfbe9ef5018ec7a6d6f549951d4c50b6320b057bf6a93b65b9815f95

Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.

Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.

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