Agent skill

Ena Database

by davila7 in davila7/claude-code-templates

Access European Nucleotide Archive via API/FTP. An agent skill from davila7/claude-code-templates.

MITAuto-check passedResearch & Science

Install Ena Database

skills CLI
$ npx skills add davila7/claude-code-templates --skill ena-database -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install davila7/claude-code-templates ena-database --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/davila7/claude-code-templates.git skills-src && mkdir -p .claude/skills && cp -r skills-src/cli-tool/components/skills/scientific/ena-database .claude/skills/ena-database && rm -rf skills-src

Use ~/.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/

Facts

Skill name
ena-database
GitHub stars
32k
Used in
10 other repos
Token cost
~1.7k tokens
SKILL.md length
725 words
Files
2 (incl. references)
Skills in repo
477
Repo updated
First seen
Licence
MIT

At a glance

Access European Nucleotide Archive via API/FTP. An agent skill from davila7/claude-code-templates.

  • Works in 7 steps: Data Types and Structure → Programmatic Access → Searching and Retrieving Data → …
  • Tasks that involve Bioinformatics
  • SKILL.md covers Overview, When to Use This Skill, Core Capabilities and Resources
  • Reaches ebi.ac.uk

What it does

Ena Database is an agent skill from davila7/claude-code-templates. Access European Nucleotide Archive via API/FTP. Retrieve DNA/RNA sequences, raw reads (FASTQ), genome assemblies by accession, for genomics and bioinformatics pipelines. Supports multiple formats.

Its SKILL.md is about 1.7k tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files, including reference files (for example `references/api_reference.md`).

It sits in Research & Science, covering Bioinformatics. The repository describes itself as: CLI tool for configuring and monitoring Claude Code. The licence is MIT.

When your agent uses it

  • Tasks that involve Bioinformatics

Example prompts

  • “/ena-database”

Requirements

  • Python 3

Workflow steps

7 steps, taken from the step headings in SKILL.md.

  1. Data Types and Structure
  2. Programmatic Access
  3. Searching and Retrieving Data
  4. Data Retrieval Formats
  5. Common Use Cases
  6. Integration with Analysis Pipelines
  7. Best Practices

What it can do on your machine

Read from SKILL.md and the folder at commit 14680ec. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md (its code samples are python).

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    Hosts in commands or code, which the agent is likely to contact:

    • ebi.ac.uk

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Ena Database loads about 1.7k tokens when it runs, and up to ~5.1k if it reads all its reference files. Until then it costs about 52 tokens; SKILL.md has 725 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~52
When it runs · the whole SKILL.md, loaded when a task matches
~1.7k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~5.1k

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.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated 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.

SKILL.md

The full file from davila7/claude-code-templates at commit 14680ec, republished under its MIT licence (© davila7). 725 words, ~1,745 tokens.

Download SKILL.mdSave it as .claude/skills/ena-database/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.
name
ena-database
description
Access European Nucleotide Archive via API/FTP. Retrieve DNA/RNA sequences, raw reads (FASTQ), genome assemblies by accession, for genomics and bioinformatics pipelines. Supports multiple formats.

ENA Database

Overview

The European Nucleotide Archive (ENA) is a comprehensive public repository for nucleotide sequence data and associated metadata. Access and query DNA/RNA sequences, raw reads, genome assemblies, and functional annotations through REST APIs and FTP for genomics and bioinformatics pipelines.

When to Use This Skill

This skill should be used when:

  • Retrieving nucleotide sequences or raw sequencing reads by accession
  • Searching for samples, studies, or assemblies by metadata criteria
  • Downloading FASTQ files or genome assemblies for analysis
  • Querying taxonomic information for organisms
  • Accessing sequence annotations and functional data
  • Integrating ENA data into bioinformatics pipelines
  • Performing cross-reference searches to related databases
  • Bulk downloading datasets via FTP or Aspera

Core Capabilities

1. Data Types and Structure

ENA organizes data into hierarchical object types:

Studies/Projects - Group related data and control release dates. Studies are the primary unit for citing archived data.

Samples - Represent units of biomaterial from which sequencing libraries were produced. Samples must be registered before submitting most data types.

Raw Reads - Consist of:

  • Experiments: Metadata about sequencing methods, library preparation, and instrument details
  • Runs: References to data files containing raw sequencing reads from a single sequencing run

Assemblies - Genome, transcriptome, metagenome, or metatranscriptome assemblies at various completion levels.

Sequences - Assembled and annotated sequences stored in the EMBL Nucleotide Sequence Database, including coding/non-coding regions and functional annotations.

Analyses - Results from computational analyses of sequence data.

Taxonomy Records - Taxonomic information including lineage and rank.

2. Programmatic Access

ENA provides multiple REST APIs for data access. Consult references/api_reference.md for detailed endpoint documentation.

Key APIs:

ENA Portal API - Advanced search functionality across all ENA data types

ENA Browser API - Direct retrieval of records and metadata

ENA Taxonomy REST API - Query taxonomic information

  • Access lineage, rank, and related taxonomic data

ENA Cross Reference Service - Access related records from external databases

CRAM Reference Registry - Retrieve reference sequences

Rate Limiting: All APIs have a rate limit of 50 requests per second. Exceeding this returns HTTP 429 (Too Many Requests).

3. Searching and Retrieving Data

Browser-Based Search:

  • Free text search across all fields
  • Sequence similarity search (BLAST integration)
  • Cross-reference search to find related records
  • Advanced search with Rulespace query builder

Programmatic Queries:

  • Use Portal API for advanced searches at scale
  • Filter by data type, date range, taxonomy, or metadata fields
  • Download results as tabulated metadata summaries or XML records

Example API Query Pattern:

python
import requests

# Search for samples from a specific study
base_url = "https://www.ebi.ac.uk/ena/portal/api/search"
params = {
    "result": "sample",
    "query": "study_accession=PRJEB1234",
    "format": "json",
    "limit": 100
}

response = requests.get(base_url, params=params)
samples = response.json()
Show full SKILL.md (306 more words)Show less
4. Data Retrieval Formats

Metadata Formats:

  • XML (native ENA format)
  • JSON (via Portal API)
  • TSV/CSV (tabulated summaries)

Sequence Data:

  • FASTQ (raw reads)
  • BAM/CRAM (aligned reads)
  • FASTA (assembled sequences)
  • EMBL flat file format (annotated sequences)

Download Methods:

  • Direct API download (small files)
  • FTP for bulk data transfer
  • Aspera for high-speed transfer of large datasets
  • enaBrowserTools command-line utility for bulk downloads
5. Common Use Cases

Retrieve raw sequencing reads by accession:

python
# Download run files using Browser API
accession = "ERR123456"
url = f"https://www.ebi.ac.uk/ena/browser/api/xml/{accession}"

Search for all samples in a study:

python
# Use Portal API to list samples
study_id = "PRJNA123456"
url = f"https://www.ebi.ac.uk/ena/portal/api/search?result=sample&query=study_accession={study_id}&format=tsv"

Find assemblies for a specific organism:

python
# Search assemblies by taxonomy
organism = "Escherichia coli"
url = f"https://www.ebi.ac.uk/ena/portal/api/search?result=assembly&query=tax_tree({organism})&format=json"

Get taxonomic lineage:

python
# Query taxonomy API
taxon_id = "562"  # E. coli
url = f"https://www.ebi.ac.uk/ena/taxonomy/rest/tax-id/{taxon_id}"
6. Integration with Analysis Pipelines

Bulk Download Pattern:

  1. Search for accessions matching criteria using Portal API
  2. Extract file URLs from search results
  3. Download files via FTP or using enaBrowserTools
  4. Process downloaded data in pipeline

BLAST Integration: Integrate with EBI's NCBI BLAST service (REST/SOAP API) for sequence similarity searches against ENA sequences.

7. Best Practices

Rate Limiting:

  • Implement exponential backoff when receiving HTTP 429 responses
  • Batch requests when possible to stay within 50 req/sec limit
  • Use bulk download tools for large datasets instead of iterating API calls

Data Citation:

  • Always cite using Study/Project accessions when publishing
  • Include accession numbers for specific samples, runs, or assemblies used

API Response Handling:

  • Check HTTP status codes before processing responses
  • Parse XML responses using proper XML libraries (not regex)
  • Handle pagination for large result sets

Performance:

  • Use FTP/Aspera for downloading large files (>100MB)
  • Prefer TSV/JSON formats over XML when only metadata is needed
  • Cache taxonomy lookups locally when processing many records

Resources

This skill includes detailed reference documentation for working with ENA:

references/

api_reference.md - Comprehensive API endpoint documentation including:

  • Detailed parameters for Portal API and Browser API
  • Response format specifications
  • Advanced query syntax and operators
  • Field names for filtering and searching
  • Common API patterns and examples

Load this reference when constructing complex API queries, debugging API responses, or needing specific parameter details.

© davila7, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 1 other file (references) in cli-tool/components/skills/scientific/ena-database of davila7/claude-code-templates.

  • SKILL.md
  • references/api_reference.md

Open the folder on GitHubat commit 14680ec

Used in 10 other repositories

We found 17 copies of this SKILL.md (exact, near-identical or edited) in other folders, from 10 other GitHub owners. This page covers the copy in davila7/claude-code-templates, which our catalogue first saw on October 7, 2026.

Compare with similar skills

Ena Database 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.

Ena Database compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Ena Database this skilldavila7/claude-code-templates32k10 repos~1.7kAutomated safety check: PassMIT
Dbsnp Databasegoogle-deepmind/science-skills3.2k3 repos~3.4kAutomated safety check: NotesApache-2.0
Metabolic Study Planneraiming-lab/AutoResearchClaw15k—~1.9kAutomated safety check: PassMIT
13C Metabolic Flux AnalysisK-Dense-AI/scientific-agent-skills48k1 repos~3.2kAutomated safety check: PassMIT
Alphagenome Single Variant Analysisgoogle-deepmind/science-skills3.2k2 repos~3kAutomated safety check: NotesApache-2.0
MFA Pipeline Orchestratoraiming-lab/AutoResearchClaw15k—~923Automated safety check: PassMIT

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Questions about Ena Database

What does Ena Database do?

Access European Nucleotide Archive via API/FTP. An agent skill from davila7/claude-code-templates. Ena Database is an agent skill from davila7/claude-code-templates. Access European Nucleotide Archive via API/FTP.

When should I use Ena Database?

Ena Database fits situations like: tasks that involve Bioinformatics.

How do I install Ena Database in Claude Code?

Run `npx skills add davila7/claude-code-templates --skill ena-database -a claude-code`. Or copy the skill folder (cli-tool/components/skills/scientific/ena-database in davila7/claude-code-templates) into .claude/skills/ena-database in your project. Claude Code loads it when a task matches its description.

How do I install Ena Database in Codex?

Run `npx skills add davila7/claude-code-templates --skill ena-database -a codex`. Or copy the skill folder (cli-tool/components/skills/scientific/ena-database in davila7/claude-code-templates) into .agents/skills/ena-database in your project. Codex loads it when a task matches its description.

Can I use Ena Database in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add davila7/claude-code-templates --skill ena-database -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/ena-database, .gemini/skills/ena-database, .github/skills/ena-database and .opencode/skills/ena-database in your project.

What does Ena Database need to run?

SKILL.md names no scripts, command-line tools or credentials: Ena Database is instructions for the agent only. Our summary lists: Python 3.

Does Ena Database access the network?

SKILL.md names 1 domain. In commands or code: ebi.ac.uk; the agent is likely to contact it when it follows the instructions. This is read from the text; nothing was executed.

Is Ena Database safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Ena Database use?

Ena Database is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Ena Database use?

About 1.7k tokens (SKILL.md is roughly 7k 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 3.3k tokens, read only when the agent opens those files.

What are the alternatives to Ena Database?

Skills that share tags, products or a category with Ena Database: Dbsnp Database (google-deepmind/science-skills, 3.2k stars), Metabolic Study Planner (aiming-lab/AutoResearchClaw, 15k stars), 13C Metabolic Flux Analysis (K-Dense-AI/scientific-agent-skills, 48k stars) and Alphagenome Single Variant Analysis (google-deepmind/science-skills, 3.2k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Ena Database?

davila7 (a GitHub user) maintains it in davila7/claude-code-templates, which has 32,463 GitHub stars. The repository holds 477 skills in this directory. The repository was last updated on October 8, 2026.

Source: davila7/claude-code-templates on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.