atomic-data
Designing metrics layers that combine row-level facts with vendor rollups — reconciliation, classification rules, lineage, and per-agent daily reporting for…
Skill by soofi-xyz
Install
Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
npx agentmarket install skill/soofi-xyz-atomic-data
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About
Use cases: data, agent-building
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What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.
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codeload.github.com· found in install command
Files it touches
~/.claude/skills/atomic-data
What's inside
- Skill name
atomic-data- Description
- Designing metrics layers that combine row-level facts with vendor rollups — reconciliation, classification rules, lineage, and per-agent daily reporting for operational platforms.
- License
- MIT
- Instructions
- 74 lines in SKILL.md · view on GitHub
Files (7)
- SKILL.md
- bootstrap-prompt.md · reference/
- 01-repo-and-layering.md · rules/
- 02-lexicon-gates.md · rules/
- 03-parquet-batch-and-emission.md · rules/
- 04-reconciliation-and-rules.md · rules/
- 05-plan-artifact-per-agent-metrics.md · rules/
SKILL.md (first lines)
# Atomic Data Metrics Use this skill when integrating **third-party contact-center or operational platforms** where you must preserve **auditability**: explain metrics from **atomic facts** where possible, use **vendor rollups** where necessary, store **pipeline-owned analytics as partitioned Parquet**, publish **lexicon-registered CloudWatch** metrics, and keep **one clear lineage** per KPI in the org lexicon. This skill **specializes** the general [`metrics-skill`](../metrics-skill/) workflow for **atomic + rollup** data models. Follow the mandatory chain below. ## Related Skills | Kind | Skill | When | | --- | --- | --- | | Mandatory | [`metrics-skill`](../metrics-skill/) | End-to-end metrics definition, pipeline, dashboard, and delivery gates. | | Mandatory | [`build-batch-workflows`](../build-batch-workflows/) | Step Functions, Glue, batch transforms, idempotency, cost gate, and batch metrics emission. | | Often | [`apply-engineering-guidelines`](../apply-engineering-guidelines/) | TypeScript/Lambda/Glue standards, observability, testing. | | Optional | [`build-ai-agents`](../build-ai-agents/) | Only when packaging this workflow as a **deployed** agent runtime (Asana, webhooks, ToolLoopAgent). Not required for pipeline-only work. | ## Mandatory Execution Chain Always follow this order. Do not skip a gate. 1. **Repository understanding** — metrics pipeline repo, ETL repo, lexicon repo, dashboard repo (see [`rules/01-repo-and-layering.md`](./rules/01-repo-and-layering.md)). 2. **Lexicon / CloudWatch gate** — confirm or define metrics in lexicon workflows before code or dashboard wiring (see [`rules/02-lexicon-gates.md`](./rules/02-lexicon-gates.md)). 3. **Data integration** — atomic path vs vendor rollup path, Parquet layout, batch strategy (see [`rules/03-parquet-batch-and-emission.md`](./rules/03-parquet-batch-and-emission.md)). 4. **Reconciliation and classification** — overlap KPIs, direction rules, tolerances (see [`rules/04-reconciliation-and-rules.md`](./rules/04-reconciliation-and-rules.md)). 5. **Delivery** — metrics inventory, dashboard contract, tests, PRs — defer to `metrics-skill` delivery phase when coordinating repos. ## Hard Gates - Do not implement pipeline or dashboard changes until **lexicon implications** are confirmed (reuse vs new entries in `cloudwatch-metrics.json` / `lexicon.json` as applicable). - Do not invent canonical metric names without going through **`metrics-skill`** lexicon phase. - Do not treat vendor field names as interchangeable with canonical names until mappings are explicit. - Prefer **Parquet-only** analytics outputs under `derived/<vendor>/...`; do not maintain parallel JSON artifacts for analytics (see rules). ## Plan Artifact: Per-Agent Metrics Analysis When the user asks for a structured plan, produce **Per-agent metrics analysis** with at least: - Agent daily report **atomic validation matrix** (which KPIs are fact-backed vs rollup-only). - Inbound/outbound derivation from daily call facts (tenant-wide vs service-scoped where required). - **Parquet storage diagram** (blob/rollup layer vs atomic layer, partitions). - **Proposed lexicon metrics** for agent KPIs (grain, source, unit). - Gaps, assumptions, risks. - Per-agent / per-day: what atomic data unlocks. Details: [`rules/05-plan-artifact-per-agent-metrics.md`](./rules/05-plan-artifact-per-agent-metrics.md). ## Reference implementation (LiveVox) The **`livevox-metrics-pipeline`** repo is the concrete implementation of this skill’s patterns. Use it as a template for layering, docs, and contracts: | Topic | Where | | --- | --- | | Team/join keys, productive/login definitions, landed-data prerequisites | [`livevox-metrics-pipeline/docs/agent-metrics-atomic-integration.md`](../../../livevox-metrics-pipeline/docs/agent-metrics-atomic-integration.md) | | End-to-end lanes, batch metrics, blob vs facts overview | [`livevox-metrics-pipeline/README.md`](../../../livevox-metrics-pipeline/README.md) | | Every emitted metric, units, `operation` | [`livevox-metrics-pipeline/docs/metrics-inventory.md`](../../../livevox-metrics-pipeline/docs/metrics-inventory.md) | | Business metric keys and CloudWatch mapping | [`livevox-metrics-pipeline/app/services/metrics_mapper.py`](../../../livevox-metrics-pipeline/app/services/metrics_mapper.py) | | Dashboard + publication contract | [`livevox-metrics-pipeline/app/services/livevox_dashboard_contract.py`](../../../livevox-metrics-pipeline/app/services/livevox_dashboard_contract.py) | | Example Athena pivot / reconciliation | [`livevox-metrics-pipeline/sql/athena/011_atomic_integration_example_views.sql`](../../../livevox-metrics-pipeline/sql/athena/011_atomic_integration_example_views.sql) | | Derived agent-daily lexicon types (e.g. `productive_time_seconds`, `productive_pct`) | [`lexicon/src/data/cloudwatch-metrics.json`](../../../lexicon/src/data/cloudwatch-metrics.json) (org-wide) | **Cursor plan (analysis only, do not edit from repos):** *LiveVox per-agent metrics analysis* — validation matrix, empirical Activity vs Summary notes, blob+atomic mermaid. Paths under `~/.cursor/plans/` when present locally. ## Bootstrap Prompt (Optional) For a short agent or session preamble, read [`reference/bootstrap-prompt.md`](./reference/bootstrap-prompt.md). ## Files To Read - [`rules/01-repo-and-layering.md`](./rules/01-repo-and-layering.md) - [`rules/02-lexicon-gates.md`](./rules/02-lexicon-gates.md) - [`rules/03-parquet-batch-and-emission.md`](./rules/03-parquet-batch-and-emission.md) - [`rules/04-reconciliation-and-rules.md`](./rules/04-reconciliation-and-rules.md) - [`rules/05-plan-artifact-per-agent-metrics.md`](./rules/05-plan-artifact-per-agent-metrics.md)
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Signals
- Stars
- 3
- Forks
- 7
- Open issues
- 0
- Last commit (this folder)
- Aug 23, 2026 (2 months ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- Repository
- github.com/soofi-xyz/soofi-xyz-team-kit
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
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Cite this page
atomic-data skill. Agent Mart. https://agentmart.dev/skills/soofi-xyz-atomic-data (last updated 2026-10-24)