Monstermq Graphql Config
vogler75/monster-mq
Guide for configuring, managing, and mutating MonsterMQ settings, devices, flows, AI agents, users, loggers, archive groups, topic schemas, and publishing messages via the GraphQL API.
Configure and operate the Neo4j Connector for Kafka (sink + source) and the native Neo4j CDC API.
$ npx skills add neo4j-contrib/neo4j-skills --skill neo4j-kafka-skill -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install neo4j-contrib/neo4j-skills neo4j-kafka-skill --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/neo4j-contrib/neo4j-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/neo4j-kafka-skill .claude/skills/neo4j-kafka-skill && 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 "neo4j-kafka-skill" agent skill from https://github.com/neo4j-contrib/neo4j-skills/tree/main/neo4j-kafka-skill into .claude/skills/neo4j-kafka-skill/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "neo4j-kafka-skill", 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/neo4j-contrib/neo4j-skills/tree/main/neo4j-kafka-skillType 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 neo4j-contrib/neo4j-skills --skill neo4j-kafka-skill -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install neo4j-contrib/neo4j-skills neo4j-kafka-skill --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/neo4j-contrib/neo4j-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/neo4j-kafka-skill .agents/skills/neo4j-kafka-skill && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "neo4j-kafka-skill" agent skill from https://github.com/neo4j-contrib/neo4j-skills/tree/main/neo4j-kafka-skill into .agents/skills/neo4j-kafka-skill/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "neo4j-kafka-skill", 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 neo4j-contrib/neo4j-skills --skill neo4j-kafka-skill -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install neo4j-contrib/neo4j-skills neo4j-kafka-skill --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/neo4j-contrib/neo4j-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/neo4j-kafka-skill .cursor/skills/neo4j-kafka-skill && 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 "neo4j-kafka-skill" agent skill from https://github.com/neo4j-contrib/neo4j-skills/tree/main/neo4j-kafka-skill into .cursor/skills/neo4j-kafka-skill/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "neo4j-kafka-skill", 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/neo4j-contrib/neo4j-skills.git --path neo4j-kafka-skill--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 neo4j-contrib/neo4j-skills --skill neo4j-kafka-skill -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install neo4j-contrib/neo4j-skills neo4j-kafka-skill --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/neo4j-contrib/neo4j-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/neo4j-kafka-skill .gemini/skills/neo4j-kafka-skill && 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 "neo4j-kafka-skill" agent skill from https://github.com/neo4j-contrib/neo4j-skills/tree/main/neo4j-kafka-skill into .gemini/skills/neo4j-kafka-skill/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "neo4j-kafka-skill", 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 neo4j-contrib/neo4j-skills neo4j-kafka-skillInstalls 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 neo4j-contrib/neo4j-skills --skill neo4j-kafka-skill -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/neo4j-contrib/neo4j-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/neo4j-kafka-skill .github/skills/neo4j-kafka-skill && 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 "neo4j-kafka-skill" agent skill from https://github.com/neo4j-contrib/neo4j-skills/tree/main/neo4j-kafka-skill into .github/skills/neo4j-kafka-skill/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "neo4j-kafka-skill", 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 neo4j-contrib/neo4j-skills --skill neo4j-kafka-skill -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install neo4j-contrib/neo4j-skills neo4j-kafka-skill --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/neo4j-contrib/neo4j-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/neo4j-kafka-skill .opencode/skills/neo4j-kafka-skill && 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 "neo4j-kafka-skill" agent skill from https://github.com/neo4j-contrib/neo4j-skills/tree/main/neo4j-kafka-skill into .opencode/skills/neo4j-kafka-skill/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "neo4j-kafka-skill", 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.
neo4j-kafka-skillConfigure and operate the Neo4j Connector for Kafka (sink + source) and the native Neo4j CDC API.
Neo4j Kafka Skill is an agent skill from neo4j-contrib/neo4j-skills. Configure and operate the Neo4j Connector for Kafka (sink + source) and the native Neo4j CDC API. Covers Cypher/Pattern/CUD sink strategies, CDC-based and query-based source, exactly-once semantics, DLQ error handling, Confluent Cloud managed connector, schema registry (Avro/JSON), and native db.cdc.query cursor-loop patterns (Neo4j 5.13+ Enterprise/Aura BC/VDC). Use when streaming Kafka events into Neo4j, streaming Neo4j changes to Kafka, or querying Neo4j change events without Kafka. Does NOT handle Cypher…
Its SKILL.md is about 3.7k tokens, which your agent loads only when the skill is triggered. The skill folder holds 4 other files, including reference files (for example `README.md`, `references/cdc-api.md` and `references/sink-config.md`).
It sits in Backend & APIs, covering Event-driven systems. It works with Neo4j and Apache Kafka. The repository describes itself as: Neo4j Skills for Coding and other Agents including Cypher. The licence is MIT.
Read from SKILL.md and the folder at commit bb30e1f. It shows what the files ask for, not the result of running them.
Pre-approves these tools, so the agent can use them without asking each time:
BashWebFetchFrom allowed-tools in the SKILL.md frontmatter.
No scripts in the folder and no shell commands in SKILL.md (its code samples are json, cypher and python).
From the folder's file list and the shell code blocks in SKILL.md.
Links to these hosts (documentation or services it may open):
neo4j.comFrom URLs in SKILL.md, links to its own repository left out.
Names these keys or tokens, usually read from environment variables:
KAFKA_API_KEYFrom names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Neo4j Kafka Skill loads about 3.7k tokens when it runs, and up to ~7.6k if it reads all its reference files. Until then it costs about 173 tokens; SKILL.md has 876 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.
allowed-tools: Bash, WebFetchAutomated 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 neo4j-contrib/neo4j-skills at commit bb30e1f, republished under its MIT licence (© neo4j-contrib). 876 words, ~3,726 tokens.
.claude/skills/neo4j-kafka-skill/SKILL.md (or your agent's skills folder). This skill also uses 3 other files; get the full folder from GitHub.db.cdc.query)neo4j-cypher-skillneo4j-import-skillneo4j-gds-skillneo4j-cypher-skill| Use case | Strategy |
|---|---|
| Custom transformation of Kafka payload → graph | Sink: Cypher |
| Mirror another Neo4j CDC source | Sink: CDC (schema or source-id sub-strategy) |
| Map Kafka JSON fields to graph nodes/rels with no code | Sink: Pattern |
| Consume pre-formatted CUD JSON messages | Sink: CUD |
| Stream all Neo4j changes to Kafka (real-time) | Source: CDC (Neo4j 5.13+ EE/Aura BC/VDC) |
| Stream specific query results on a schedule | Source: Query |
| Consume CDC events in-process, no Kafka | Native CDC API (db.cdc.query) |
{
"neo4j.uri": "neo4j+s://your-instance.databases.neo4j.io:7687",
"neo4j.authentication.type": "BASIC",
"neo4j.authentication.basic.username": "neo4j",
"neo4j.authentication.basic.password": "${file:/opt/secrets.properties:neo4j.password}",
"neo4j.database": "neo4j"
}Authentication types: BASIC | BEARER | KERBEROS | CUSTOM | NONE
Never hardcode passwords — use Kafka Connect secrets provider (${file:...} or ${env:...}).
Connector auto-prepends UNWIND $events AS __value — write query using __value:
{
"connector.class": "org.neo4j.connectors.kafka.sink.Neo4jConnector",
"topics": "person-creates,person-updates",
"neo4j.uri": "neo4j+s://...",
"neo4j.authentication.type": "BASIC",
"neo4j.authentication.basic.username": "neo4j",
"neo4j.authentication.basic.password": "secret",
"neo4j.cypher.topic.person-creates":
"MERGE (p:Person {id: __value.id}) SET p += __value.properties",
"neo4j.cypher.topic.person-updates":
"MATCH (p:Person {id: __value.id}) SET p += __value.properties",
"neo4j.cypher.bind-value-as": "__value",
"neo4j.cypher.bind-key-as": "__key",
"neo4j.cypher.bind-header-as": "__header"
}MERGE pattern — idempotent upsert:
MERGE (p:Person {id: __value.id})
ON CREATE SET p.createdAt = datetime(), p += __value.properties
ON MATCH SET p.updatedAt = datetime(), p += __value.propertiesNo Cypher needed — map message fields to graph via pattern syntax:
{
"neo4j.pattern.topic.users": "(:User{!userId, name, email})",
"neo4j.pattern.topic.friendships":
"(:User{!userId: from.userId})-[:KNOWS{since}]->(:User{!userId: to.userId})"
}Pattern rules:
!prop = key property (used for MERGE)prop: field.path = map from nested message field* = map all message fields-prop = exclude property (cannot mix with inclusions){
"neo4j.cdc.schema.topics": "neo4j-cdc-events"
}Or with source-id tracking (stores elementId as property):
{
"neo4j.cdc.source-id.topics": "neo4j-cdc-events",
"neo4j.cdc.source-id.label-name": "SourceEvent",
"neo4j.cdc.source-id.property-name": "sourceId"
}Requires: connector ≥ 5.3.0 (Cypher/Pattern/CDC strategies), connector ≥ 5.3.1 (CUD strategy), Kafka broker EOS support, and a NODE KEY constraint.
Step 1 — Create constraint:
CREATE CONSTRAINT kafka_offset_key IF NOT EXISTS
FOR (n:__KafkaOffset)
REQUIRE (n.strategy, n.topic, n.partition) IS NODE KEY;Step 2 — Add to connector config:
{
"neo4j.eos-offset-label": "__KafkaOffset"
}Without EOS: connector provides at-least-once — write idempotent Cypher (MERGE, not CREATE).
{
"errors.tolerance": "all",
"errors.log.enable": "true",
"errors.log.include.messages": "true",
"errors.deadletterqueue.topic.name": "neo4j-dlq",
"errors.deadletterqueue.context.headers.enable": "true",
"errors.deadletterqueue.topic.replication.factor": "3"
}errors.tolerance=none (default) — stops on first error. Use all + DLQ for production.
{
"connector.class": "org.neo4j.connectors.kafka.source.Neo4jConnector",
"neo4j.uri": "neo4j+s://...",
"neo4j.authentication.type": "BASIC",
"neo4j.authentication.basic.username": "neo4j",
"neo4j.authentication.basic.password": "secret",
"neo4j.source-strategy": "CDC",
"neo4j.start-from": "NOW",
"neo4j.cdc.poll-interval": "1s",
"neo4j.cdc.poll-duration": "5s",
"neo4j.cdc.topic.person-creates.patterns.0.pattern": "(:Person)",
"neo4j.cdc.topic.person-creates.patterns.0.operation": "CREATE",
"neo4j.cdc.topic.person-updates.patterns.0.pattern": "(:Person)",
"neo4j.cdc.topic.person-updates.patterns.0.operation": "UPDATE",
"neo4j.cdc.topic.person-deletes.patterns.0.pattern": "(:Person)",
"neo4j.cdc.topic.person-deletes.patterns.0.operation": "DELETE"
}neo4j.start-from options: NOW | EARLIEST | a specific cursor string
Multiple patterns per topic — indexed 0, 1, 2...:
{
"neo4j.cdc.topic.all-changes.patterns.0.pattern": "(:Person)",
"neo4j.cdc.topic.all-changes.patterns.1.pattern": "(:Organization)"
}Cursor warning: after DB restore from backup, CDC cursors are invalidated. Reconfigure neo4j.start-from.
{
"neo4j.source-strategy": "QUERY",
"neo4j.query": "MATCH (p:Person) WHERE p.updatedAt > $lastCheck RETURN p.id AS id, p.name AS name, p.updatedAt AS updatedAt",
"neo4j.query.streaming-property": "updatedAt",
"neo4j.query.topic": "person-changes",
"neo4j.query.polling-interval": "5s",
"neo4j.query.polling-duration": "10s"
}$lastCheck is auto-injected by connector. neo4j.query.streaming-property must be returned by the query and should be indexed.
Requires: Neo4j 5.13+ Enterprise, AuraDB BC, or AuraDB VDC.
Enable CDC first (self-managed — set in neo4j.conf):
db.cdc.enabled=trueOn Aura: enabled by default on eligible tiers.
// Get cursor for "right now" — start tracking from this point forward
CALL db.cdc.current() YIELD id RETURN id AS cursor;
// Get earliest available cursor (replay from history start)
CALL db.cdc.earliest() YIELD id RETURN id AS cursor;Cursors are exclusive: db.cdc.current() does NOT include the transaction it points to.
// All changes since cursor
CALL db.cdc.query($cursor, []) YIELD id, txId, seq, metadata, event
RETURN id, txId, seq, metadata, event
ORDER BY txId, seq;Filtered — nodes with label Person, CREATE only:
CALL db.cdc.query($cursor, [
{select: 'n', labels: ['Person'], operation: 'c'}
]) YIELD id, txId, seq, event
RETURN id, event.state.after.properties AS newProps
ORDER BY txId, seq;Filtered — specific relationship type with property change tracking:
CALL db.cdc.query($cursor, [
{select: 'r', type: 'KNOWS', changesTo: ['since', 'strength']}
]) YIELD id, txId, seq, event
RETURN id, event.state.before AS before, event.state.after AS after;| Field | Values | Applies to |
|---|---|---|
select | 'e' (all), 'n' (nodes), 'r' (rels) | both |
operation | 'c' (create), 'u' (update), 'd' (delete) | both |
labels | ['Label1','Label2'] (node must have ALL) | nodes |
type | 'REL_TYPE' | relationships |
elementId | specific element ID string | both |
key | {propName: value} (requires key constraint) | both |
changesTo | ['prop1','prop2'] (AND — all must change) | both |
authenticatedUser | username string | both |
executingUser | username string | both |
txMetadata | {key: value} | both |
{
id: STRING, // cursor for this event (use as next $cursor)
txId: INTEGER, // transaction ID
seq: INTEGER, // ordering within transaction
metadata: {
executingUser: STRING,
authenticatedUser: STRING,
captureMode: STRING, // "DIFF" or "FULL"
txStartTime: DATETIME,
txCommitTime: DATETIME,
txMetadata: MAP
},
event: {
elementId: STRING,
eventType: STRING, // "n" or "r"
operation: STRING, // "c", "u", "d"
labels: [STRING], // nodes only
type: STRING, // relationships only
keys: MAP,
state: {
before: { properties: MAP }, // null on CREATE
after: { properties: MAP } // null on DELETE
}
}
}from neo4j import GraphDatabase
driver = GraphDatabase.driver("neo4j+s://...", auth=("neo4j", "password"))
def poll_changes(cursor: str, selectors: list) -> tuple[list, str]:
records, _, _ = driver.execute_query(
"CALL db.cdc.query($cursor, $selectors) YIELD id, txId, seq, event "
"RETURN id, txId, seq, event ORDER BY txId, seq",
cursor=cursor, selectors=selectors,
database_="neo4j"
)
events = [r.data() for r in records]
# Advance cursor to last event id; keep current if no events
next_cursor = events[-1]["id"] if events else cursor
return events, next_cursor
# Bootstrap
with driver.session(database="neo4j") as s:
cursor = s.run("CALL db.cdc.current() YIELD id RETURN id").single()["id"]
selectors = [{"select": "n", "labels": ["Person"]}]
import time
while True:
events, cursor = poll_changes(cursor, selectors)
for e in events:
print(e["event"]["operation"], e["event"]["elementId"])
time.sleep(1)Confluent Cloud hosts the Neo4j Sink connector as a fully managed service (no JAR upload needed).
Config differences vs self-managed:
connector.class field — selected in UI/APIRequired Confluent Cloud fields:
{
"kafka.auth.mode": "KAFKA_API_KEY",
"kafka.api.key": "...",
"kafka.api.secret": "...",
"input.data.format": "JSON",
"neo4j.uri": "neo4j+s://...",
"neo4j.authentication.type": "BASIC",
"neo4j.authentication.basic.username": "neo4j",
"neo4j.authentication.basic.password": "..."
}One strategy per topic — cannot mix Cypher and Pattern on same topic.
Source connector always generates messages with schema support — must configure converters:
{
"key.converter": "io.confluent.connect.avro.AvroConverter",
"key.converter.schema.registry.url": "https://your-schema-registry",
"value.converter": "io.confluent.connect.avro.AvroConverter",
"value.converter.schema.registry.url": "https://your-schema-registry"
}For JSON Schema:
{
"value.converter": "io.confluent.connect.json.JsonSchemaConverter",
"value.converter.schema.registry.url": "https://..."
}Sink converter must match source — Avro sink cannot consume JSON schema source messages.
| Error | Cause | Fix |
|---|---|---|
CDC is not enabled | db.cdc.enabled not set / wrong tier | Enable in neo4j.conf or upgrade to EE/BC/VDC |
Invalid cursor after DB restore | Backup invalidates cursors | Reset neo4j.start-from to NOW or EARLIEST |
Cannot merge node using null | Key property missing in message | Validate message schema; add null check in Cypher |
| Messages replayed after restart | No EOS configured | Add neo4j.eos-offset-label + NODE KEY constraint |
| Connector stops on bad message | errors.tolerance=none (default) | Set errors.tolerance=all + DLQ topic |
SchemaException on sink | Converter mismatch source/sink | Match key/value converters on both ends |
Empty events from db.cdc.query | Cursor points to current | Use db.cdc.earliest() to replay; wait for new txns |
neo4j.eos-offset-labelerrors.tolerance=all + DLQ configured for production sinkneo4j.query.streaming-property indexedneo4j.start-from)© neo4j-contrib, 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 3 other files (references) in neo4j-kafka-skill of neo4j-contrib/neo4j-skills.
Open the folder on GitHubat commit bb30e1f
Neo4j Kafka Skill 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 |
|---|---|---|---|---|---|---|
| Neo4j Kafka Skill this skillneo4j-contrib/neo4j-skills | 114 | — | ~3.7k | Automated safety check: Notes | MIT | |
| Monstermq Graphql Configvogler75/monster-mq | 143 | — | ~2.3k | Automated safety check: Pass | GPL-3.0 | |
| Windmill Trigger Type Checklistwindmill-labs/windmill | 18k | — | ~4.7k | Automated safety check: Pass | Custom licence | |
| FoundatioFoundatioFx/Foundatio | 2.1k | — | ~3.9k | Automated safety check: Pass | Apache-2.0 | |
| Mirrord Kafkametalbear-co/mirrord | 5.4k | 1 repos | ~6k | Automated safety check: Pass | MIT | |
| Opensource Guide Coachcalf-ai/calfkit-sdk | 149 | 1 repos | ~2.1k | Automated safety check: Pass | Apache-2.0 |
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Configure and operate the Neo4j Connector for Kafka (sink + source) and the native Neo4j CDC API. Neo4j Kafka Skill is an agent skill from neo4j-contrib/neo4j-skills. Configure and operate the Neo4j Connector for Kafka (sink + source) and the native Neo4j CDC API.
Neo4j Kafka Skill fits situations like: streaming Kafka events into Neo4j; streaming Neo4j changes to Kafka; querying Neo4j change events without Kafka.
Run `npx skills add neo4j-contrib/neo4j-skills --skill neo4j-kafka-skill -a claude-code`. Or copy the skill folder (neo4j-kafka-skill in neo4j-contrib/neo4j-skills) into .claude/skills/neo4j-kafka-skill in your project. Claude Code loads it when a task matches its description.
Run `npx skills add neo4j-contrib/neo4j-skills --skill neo4j-kafka-skill -a codex`. Or copy the skill folder (neo4j-kafka-skill in neo4j-contrib/neo4j-skills) into .agents/skills/neo4j-kafka-skill 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 neo4j-contrib/neo4j-skills --skill neo4j-kafka-skill -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/neo4j-kafka-skill, .gemini/skills/neo4j-kafka-skill, .github/skills/neo4j-kafka-skill and .opencode/skills/neo4j-kafka-skill in your project.
Going by SKILL.md and its folder, Neo4j Kafka Skill needs credentials named KAFKA_API_KEY. Our summary lists: Python 3. Its frontmatter pre-approves these tools: Bash, WebFetch.
SKILL.md names 1 domain. As links in the text: neo4j.com. This is read from the text; nothing was executed.
Our automated static check of SKILL.md found notes only (pre-approves every shell command (allowed-tools: bash)), nothing it rates as a warning. It is not a guarantee. Review the folder before installing.
Neo4j Kafka Skill is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 3.7k tokens (SKILL.md is roughly 15k 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 3.8k tokens, read only when the agent opens those files.
Skills that share tags, products or a category with Neo4j Kafka Skill: Monstermq Graphql Config (vogler75/monster-mq, 143 stars), Windmill Trigger Type Checklist (windmill-labs/windmill, 18k stars), Foundatio (FoundatioFx/Foundatio, 2.1k stars) and Mirrord Kafka (metalbear-co/mirrord, 5.4k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
neo4j-contrib (a GitHub organization) maintains it in neo4j-contrib/neo4j-skills, which has 114 GitHub stars. The repository holds 28 skills in this directory. The repository was last updated on October 9, 2026.
Source: neo4j-contrib/neo4j-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.