derivation-aggregate-metrics SKILL.md skillA

derivation-aggregate-metrics 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/derivation-aggregate-metrics@git:20260707.6b608bf

Pins git:20260707.6b608bf 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/derivation-aggregate-metrics/SKILL.md
Versions recorded
1
Latest version
git:20260707.6b608bf, committed Jul 7, 2026
Size
12,239 bytes
Repository stars
7
License
Apache-2.0

Create an Estuary derivation that continuously aggregates metrics (daily totals, running counts, min/max, lifetime revenue) using reduction annotations. Use for real-time dashboards, continuous materialised views, and replacing batch ETL aggregations with streaming. Derivations add complexity and cost — confirm the user wants a derivation before reaching for this. Use when user says "aggregation derivation", "derivation to sum daily totals", "running-count derivation…

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

# derivation-aggregate-metrics

Stateless Estuary derivation that continuously aggregates source documents into metrics, using schema-level reduction annotations to combine documents with the same key.

**Prereq:** read `derivation-basics` first for concepts, project layout, workflow, and the stateless-vs-stateful distinction.

**Docs:**
- https://docs.estuary.dev/getting-started/tutorials/continuous-materialized-view/ — end-to-end tutorial with reductions
- https://docs.estuary.dev/reference/reduction-strategies/ — reference for `sum`, `merge`, `minimize`, `maximize`, `append`, `firstWriteWins`, `lastWriteWins`

## When to use this over alternatives

- **Daily / hourly / per-customer aggregations**: sum orders by day, count events per user, etc.
- **Running totals**: lifetime revenue per customer that updates in real time
- **Statistical metrics per group**: min / max / sum / count per sensor, per region
- **Continuous materialised views**: stream-native replacement for scheduled aggregation queries

Reach for other skills when:
- Output is 1:1 with input (no grouping) → `derivation-filter-transform`
- Output is many-per-input (not grouping) → `derivation-flatten-array`
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add estuary/agent-skills/derivation-aggregate-metrics@sha256:4e1c48a93bf83406

The line at the top of this page pins the label git:20260707.6b608bf, 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_trlti4gm3k57ttnd.svg)](https://markdownregistry.com/a/art_trlti4gm3k57ttnd)

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

Versions

The registry has recorded 1 version of this file, committed on Jul 7, 2026.

versioncommittedcommitsizeaudit
git:20260707.6b608bf latest2026-07-07 6b608bf 12,239 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 (12239 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_trlti4gm3k57ttnd
GET https://markdownregistry.com/api/v1/resolve?ref=estuary/agent-skills/derivation-aggregate-metrics
GET https://markdownregistry.com/api/v1/blob/4e1c48a93bf834069c67398b73b4b0e9b1bb5e2da83994122b0c986529d3ac5c

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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