instrument-data-allotrope-output-format-selection
Sub-skill of instrument-data-allotrope: Output Format Selection.
Best use case
instrument-data-allotrope-output-format-selection is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Sub-skill of instrument-data-allotrope: Output Format Selection.
Teams using instrument-data-allotrope-output-format-selection should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/output-format-selection/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How instrument-data-allotrope-output-format-selection Compares
| Feature / Agent | instrument-data-allotrope-output-format-selection | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Sub-skill of instrument-data-allotrope: Output Format Selection.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
# Output Format Selection ## Output Format Selection **ASM JSON (default)** - Full semantic structure with ontology URIs - Best for: LIMS systems expecting ASM, data lakes, long-term archival - Validates against Allotrope schemas **Flattened CSV** - 2D tabular representation - Best for: Quick analysis, Excel users, systems without JSON support - Each measurement becomes one row with metadata repeated **Both** - Generate both formats for maximum flexibility
Related Skills
data-validation-reporter
Generate interactive validation reports with quality scoring, missing data analysis, and type checking. Combines Pandas validation, Plotly visualization, and YAML configuration for comprehensive data quality reporting.
worldenergydata-source-readiness
Route agents to the canonical worldenergydata source-readiness skill and summary script. Use when asked for worldenergydata data completeness, data locations, latest known data dates, scheduler freshness, source-readiness status, or acceptance-criteria inputs across the repo ecosystem.
sodir-data-extractor
Extract and process Norwegian Petroleum Directorate field and production data from SODIR
metocean-data-fetcher
Fetch real-time and historical metocean data from NDBC, CO-OPS, Open-Meteo, ERDDAP, and MET Norway. Use for buoy data retrieval, tidal observations, marine forecasts, and multi-source data fusion.
energy-data-visualizer
Interactive visualization for oil and gas production data analysis using Plotly dashboards
bsee-data-extractor
Extract and process BSEE (Bureau of Safety and Environmental Enforcement) data including production, WAR (Well Activity Reports), and APD (Application for Permit to Drill) data. Use for querying production data, well activities, drilling permits, completions, and workovers by API number, block, lease, or field with automatic data normalization and caching.
tax-return-data-capture-and-archival
Capture structured tax return summaries as YAML for year-over-year comparison, with fallback to manual PDF download and relocation when automation fails
repo-separation-for-sensitive-data
Architecture pattern for splitting confidential data and reusable algorithms across repos
multi-format-transaction-parser
Parse and consolidate financial transaction data across multiple CSV formats and years
multi-format-csv-parser-with-deduplication
Parse brokerage CSV exports that exist in multiple formats with overlapping data across files
multi-format-csv-detection-and-deduplication
Detect and handle multiple CSV format versions from the same data source; deduplicate records across format variants
metadata-only-wiki-sweep-workflow
Disciplined inventory process for cataloging documents by filename/path without content claims, using parent-centric grouping to prevent stub proliferation