elastic/integration-skills

create-integration

Use when creating a new Elastic integration package, scaffolding data streams, answering package layout or structure questions, or running the end-to-end integration build workflow.

First seen May 19, 2026

Installation

$ npx skills add elastic/integration-skills --skill create-integration

Summary

  • Use when creating a new Elastic integration package, scaffolding data streams, answering package layout or structure questions, or running the end-to-end integration build workflow.
  • Covers package topology, scaffold commands, post-scaffold edits, and full orchestration of CEL/pipeline/test subagents.

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More details

Agent compatibility

Declared targets from SKILL.md / docs. Unmarked agents are not listed — the skill may still install via the CLI.

Claude Code Declared
Cursor Declared
Codex Not declared
GitHub Copilot Not declared
Windsurf Not declared
Gemini CLI Not declared
Cline Not declared
OpenCode Not declared

Repository health

Stars 15
License LICENSE.txt
Default branch main
Open issues 2
Status Active

Skill metadata

Parsed from SKILL.md frontmatter.

Version1.0
LicenseApache-2.0
Declared agents claude-code cursor
More metadata
author
elastic
version
1.0

Package contents

Files included with this skill beyond the listing page.

  • skill md SKILL.md 7,129 B
  • docs SUMMARY.md 327 B

History

  1. First seen on skills.sh
  2. First recorded snapshot · 442 installs

SKILL.md

create-integration

When to use

Use this skill when tasks include:

  • creating a new integration package from scratch
  • scaffolding data streams and applying post-scaffold edits
  • understanding package topology, file placement, and manifest patterns
  • running the end-to-end build workflow (scaffold → data collection setup → pipeline → system tests → review)
  • questions about package structure, layout, or manifest.yml shape

IMPORTANT: Loading references

This skill has four reference files. Load the appropriate one(s) based on your task:

When creating a full integration (end-to-end):MUST read references/create-workflow.md fully before starting. This contains the complete orchestration workflow, all phases, subagent delegation instructions, and guardrails.

When adding data streams to an existing package:MUST read references/add-datastream-workflow.md fully before starting. This covers verifying the package, scaffolding streams, and the CEL → pipeline → system-test sequence.

When scaffolding a package or data stream, or applying post-scaffold edits: → Read references/scaffold-commands.md for the scaffold commands, post-scaffold checklist, and common pitfalls.

When reviewing or understanding package topology and file layout: → Read references/package-layout.md for canonical trees, manifest patterns, and review checklists for both integration and input packages.

What to provide when creating an integration

Include any combination of the following:

Input How to provide Examples
Package name free text my_vendor
Product / vendor free text "Acme Firewall appliance"
Data delivery method free text "REST API with pagination", "syslog over TCP/UDP", "S3 bucket"
API / log documentation paste URLs https://docs.acme.com/api/v2
Sample data @-mention files @samples/acme_event.json
Research brief @-mention file @notes/acme-research-brief.md
Constraints free text "CEL input only", "single data stream"

Example invocations

Create a new "acme_firewall" integration for Acme Firewall appliance.
  API docs: https://docs.acme.com/api/v2/events
  Auth: Bearer token header. Pagination: offset-based with total_count.
  @samples/acme_events.json. Single data stream "event" using cel input.
New syslog integration "my_appliance" with tcp,udp inputs.
  @notes/research-brief.md. Two streams: "log" (syslog) and "traffic" (syslog).

What to provide when adding data streams to an existing package

Use @-mentions for files/folders and paste links inline.

Input How to provide Examples
Target package free text or @-mention acmefirewall, @packages/acmefirewall
Stream name free text audit, traffic, alert
Stream type free text logs (default) or metrics
Input type(s) free text cel, tcp,udp, filestream, http_endpoint, aws-s3
API / log docs paste URLs https://docs.acme.com/api/audit
Sample data @-mention files @samples/audit_event.json, @samples/traffic.log
Research brief @-mention file @notes/acme-audit-brief.md
Constraints free text "reuse package-level auth vars", "separate pipeline per event type"
Acceptance criteria free text "parse all syslog fields, map to ECS"

Example invocations

Add "audit" stream to @packages/acme_firewall using cel input.
  API endpoint: /api/v2/audit_logs
  Pagination: timestamp cursor.
  @samples/acme_audit.json
Add "traffic" and "threat" streams to acme_firewall.
  Both use tcp,udp inputs (syslog).
  @samples/traffic.log @samples/threat.log

Subagents overview

Do not load CEL, pipeline, ECS, or field-mapping skills yourself. Delegate to subagents that load their own domain skills.

All specialised work is delegated to the platform's generic / general-purpose subagent (Cursor: generalPurpose Task agent; Claude Code: general-purpose Task agent; or the equivalent on other platforms). Each task prompt must **point the subagent at the relevant *-subagent-guidance.md file by path and instruct it to read that file (plus the skill SKILL.md it lists in "First steps") end-to-end before doing any other work. Do NOT read the guidance file yourself or paste its contents into the task prompt** — that doubles its context cost. Pass only the path plus the task-specific context. The subagent will load the manual itself in its own fresh context. Full dispatch rules and per-step detail live in references/create-workflow.md and references/add-datastream-workflow.md.

Subagent guidance file When to use
/research-integration skill (orchestrates its own research subagents) Vendor/API research before building, when no research brief is provided
cel-programs/references/builder-subagent-guidance.md Each CEL data stream — mock API, CEL program (incremental mito build), cel.yml.hbs template, manifest vars, initial field mappings
integration-testing/references/builder-setup-subagent-guidance.md Each non-CEL data stream — data collection setup (docker-compose, sample logs, agent stream template, system test config, manifest var cleanup)
ingest-pipelines/references/builder-subagent-guidance.md Each data stream's pipeline and field definitions
integration-testing/references/builder-system-test-subagent-guidance.md System test execution after pipeline work completes, for any testable input (CEL, tcp, udp, http_endpoint, logfile, kafka, pubsub)
review-integration/references/reviewer-subagent-guidance.md Quality review after all streams are built — classifies files by domain, loads relevant domain skills and checklists via the review-integration skill, returns severity-ranked, domain-tagged findings

For cloud storage inputs (aws-s3, gcs, azure-blob-storage, azure-eventhub): skip data collection setup and system tests. The scaffold provides a usable template; trim vars to match needs. See references/create-workflow.md for details.

References

  • references/create-workflow.md — full phases 1–8 for creating a new integration, subagent instructions, guardrails, data anonymization
  • references/add-datastream-workflow.md — phases 1–4 for adding data streams to an existing package, CEL/pipeline/system-test sequence
  • references/scaffold-commands.md — scaffold commands, post-scaffold edits, base-fields.yml format
  • references/package-layout.md — integration and input package topology, manifest patterns