blast-sequence-search
BLAST skill for sequence similarity searching, homology detection, and database querying
Best use case
blast-sequence-search is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
BLAST skill for sequence similarity searching, homology detection, and database querying
Teams using blast-sequence-search 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/blast-sequence-search/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How blast-sequence-search Compares
| Feature / Agent | blast-sequence-search | 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?
BLAST skill for sequence similarity searching, homology detection, and database querying
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
# BLAST Sequence Search Skill ## Purpose Provide BLAST capabilities for sequence similarity searching, homology detection, and database querying across nucleotide and protein sequences. ## Capabilities - BLASTn/BLASTp/BLASTx execution - Custom database creation and management - E-value and alignment filtering - Output parsing and result annotation - Batch query processing - Remote NCBI database queries ## Usage Guidelines - Select appropriate BLAST program for query/database type - Set E-value thresholds based on search sensitivity needs - Create custom databases for project-specific searches - Parse and filter results for downstream analysis - Consider computational resources for large searches - Document database versions for reproducibility ## Dependencies - NCBI BLAST+ - DIAMOND - MMseqs2 ## Process Integration - Whole Genome Sequencing Pipeline (wgs-analysis-pipeline) - Protein Structure Prediction (protein-structure-prediction) - Shotgun Metagenomics Pipeline (shotgun-metagenomics)
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