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Medicinal chemistry filters for compound triage. Drug-likeness rules (Lipinski Ro5, Veber, Oprea, CNS, leadlike, REOS, Golden Triangle, Ro3), structural alerts (PAINS, NIBR, Lilly Demerits), chemical group detectors, complexity metrics, and filter composition query language. Built on RDKit/datamol. For hit-to-lead filtering, library design, ADMET pre-screening. For molecular I/O use rdkit-cheminfo

Invoke external AI CLIs via native Task agents (Claude, Codex, Gemini, Cursor). Primary mode for multi-provider orchestration with fork-terminal fallback for auth.

When the user wants to analyze how their social media posts are performing. Also use when the user mentions 'analytics,' 'performance,' 'how did my posts do,' 'engagement,' 'impressions,' 'what's working,' 'post metrics,' 'my best posts,' or 'why isn't this post performing.' Uses BlackTwist analytics when available, works from user-provided data otherwise. For audience growth specifically, see aud

Verifies builds, recovers from errors, and applies review fixes. Use when user mentions ビルド, build, 検証, verify, エラー復旧, error recovery, 指摘を適用, apply fixes, テスト実行, tests fail, lint errors occur, CI breaks, テスト失敗, lintエラー, 型エラー, ビルドエラー, CIが落ちた. Do NOT load for: 実装作業, レビュー, セットアップ, 新機能開発.

Use quando o usuário deseja otimizar conteúdo para mecanismos de busca de IA, ser citado por LLMs ou aparecer em respostas geradas por IA. Também se aplica a termos como 'AI SEO', 'AEO', 'LLMO' e 'otimização para ChatGPT'.

Audita a segurança do código, cobrindo OWASP, credenciais, autenticação, controle de acesso, cadeia de suprimentos e hardening. É ativado por termos como 'auditoria de segurança' ou 'OWASP', e não é para trabalho ofensivo (use lockpick).

Elite AI context engineering specialist mastering dynamic context

System diagnostics using GASP (General AI Specialized Process monitor). Use when user asks about Linux system performance, requests system checks, mentions GASP, asks to diagnose hosts, or says things like "check my system" or "what's wrong with [hostname]". Can actively fetch GASP metrics from hosts via HTTP or interpret provided JSON output.

Open-source bio-image data management. Use the omero-py client to connect to an OMERO server, retrieve images as numpy arrays, annotate with tags and key-value pairs, manage ROIs, and feed image data into Python analysis pipelines — programmatically, no GUI.

AI-powered genetic variant pathogenicity prediction using PopEVE deep learning model for population-aware disease variant identification and rare disease diagnosis.

Run local BLAST searches using BLAST+ command-line tools. Use when running fast unlimited searches, building custom databases, performing large-scale analysis, or when NCBI servers are slow or unavailable.

Analyzes a company's content to extract and codify their brand voice into a comprehensive style guide. Reads website copy, blog posts, emails, and social media to identify tone, vocabulary patterns, sentence structure, personality traits, and word preferences. Generates a brand-voice-guide.md and reviews new content against it.