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Found 44 Skills
Incident response and analysis via Harness MCP. Correlate incidents with recent deployments, assess blast radius and downstream service impact, and generate comprehensive postmortem documents. Use when asked to investigate an incident, determine if a deployment caused an issue, assess blast radius, or create a postmortem. Do NOT use for pipeline debugging (use debug-pipeline instead) or SLO management (use manage-slos instead). Trigger phrases: incident, deployment correlation, blast radius, postmortem, root cause, service impact, outage analysis, rollback decision, incident timeline, deployment caused, which deploy.
CLI/Python toolkit for rapid bioinformatics queries. Preferred for quick BLAST searches. Access to 20+ databases: gene info (Ensembl/UniProt), AlphaFold, ARCHS4, Enrichr, OpenTargets, COSMIC, genome downloads. For advanced BLAST/batch processing, use biopython. For multi-database integration, use bioservices.
Primary Python toolkit for molecular biology. Preferred for Python-based PubMed/NCBI queries (Bio.Entrez), sequence manipulation, file parsing (FASTA, GenBank, FASTQ, PDB), advanced BLAST workflows, structures, phylogenetics. For quick BLAST, use gget. For direct REST API, use pubmed-database.
Designs Sent Sender Profile architecture for multi-tenant, multi-brand, or multi-channel messaging systems, including profile boundaries, account-level API key blast radius, webhooks, compliance inheritance, and channel readiness. Use when a user says sender profile, x-sender-id, profile setup, multi-tenant messaging, brand isolation, department sender, webhook routing, tenant offboarding, or asks how to model SMS, WhatsApp, and RCS senders in Sent.
Fast CLI/Python queries to 20+ bioinformatics databases. Use for quick lookups: gene info, BLAST searches, AlphaFold structures, enrichment analysis. Best for interactive exploration, simple queries. For batch processing or advanced BLAST use biopython; for multi-database Python workflows use bioservices.
Analyze blast radius before making code changes
Help Portaly creators run follower-email campaigns end-to-end — create a draft, send it via Vibe MCP, read post-send analytics — and wire up where the invitation email's CTA redirects (Portaly-hosted waitlist, or a self-hosted /waitlist/[slug] page). Trigger when the user mentions invitation emails, follower outreach campaigns, sending an email blast to followers, drafting an email campaign, waitlist signup landing page, app base URL, embedding a waitlist CTA, or asks how the registration email link works / where it lands.
Swift/iOS static analysis CLI. Use `depgraph` to find who calls a function, what breaks if you change a file, track call sites and blast radius before refactoring, and map symbol dependencies across files. Use `ask` to consult Swift/iOS/tvOS/watchOS/macOS documentation and best practices.
Read/write FASTA, GenBank, FASTQ files. Sequence manipulation (complement, translate). Indexed random access via faidx. For NGS pipelines (SAM/BAM/VCF), use pysam. For BLAST, use gget or blat-integration.
Use when a TypeScript/JavaScript task needs symbol navigation (`nav declarations|definition|references`), structural pattern search (`search`), structural rewrites (`patch`), or reference-based blast-radius estimation (`code-rank`). Prefer for compact, scoped repository analysis and migration work; do not use for runtime-path proofs, correctness guarantees, or replacing compiler/tests.
Builds and queries multi-language source code graphs for security analysis. Includes pre-analysis passes for blast radius, taint propagation, privilege boundaries, and entry point enumeration. Use when analyzing call paths, mapping attack surface, finding complexity hotspots, enumerating entry points, tracing taint propagation, measuring blast radius, or building a code graph for audit prioritization. Supports 16 languages including Solidity, Cairo, Circom, Rust, Go, Python, C/C++, TypeScript.
Performs multiple sequence alignment of proteins with EBI Clustal Omega. Use when you need to align multiple sequences to assess similarity, domain conservation, or key residue conservation. Supports up to 4000 sequences and a maximum file size of 4 MB. Do not use to search for homologous proteins in a database (use MMseqs2, BLAST), align non-protein sequences (DNA, RNA), perform structural alignment (use Foldseek, PyMOL), or if you only have a single sequence.