Processing
Data transformation and parsing
tooluniverse-metabolomics-analysis
by mims-harvard
Analyze metabolomics data including metabolite identification, quantification, pathway analysis, and metabolic flux. Processes LC-MS, GC-MS, NMR data from targeted and untargeted experiments. Performs normalization, statistical analysis, pathway enrichment, metabolite-enzyme integration, and biomarker discovery. Use when analyzing metabolomics datasets, identifying differential metabolites, studying metabolic pathways, integrating with transcriptomics/proteomics, discovering metabolic biomarkers, performing flux balance analysis, or characterizing metabolic phenotypes in disease, drug response, or physiological conditions.
tooluniverse-immunotherapy-response-prediction
by mims-harvard
Predict patient response to immune checkpoint inhibitors (ICIs) using multi-biomarker integration. Given a cancer type, somatic mutations, and optional biomarkers (TMB, PD-L1, MSI status), performs systematic analysis across 11 phases covering TMB classification, neoantigen burden estimation, MSI/MMR assessment, PD-L1 evaluation, immune microenvironment profiling, mutation-based resistance/sensitivity prediction, clinical evidence retrieval, and multi-biomarker score integration. Generates a quantitative ICI Response Score (0-100), response likelihood tier, specific ICI drug recommendations with evidence, resistance risk factors, and a monitoring plan. Use when oncologists ask about immunotherapy eligibility, checkpoint inhibitor selection, or biomarker-guided ICI treatment decisions.
tooluniverse-metabolomics
by mims-harvard
Comprehensive metabolomics research skill for identifying metabolites, analyzing studies, and searching metabolomics databases. Integrates HMDB (220k+ metabolites), MetaboLights, Metabolomics Workbench, and PubChem. Use when asked to identify or annotate metabolites (HMDB IDs, chemical properties, pathways), retrieve metabolomics study information from MetaboLights (MTBLS*) or Metabolomics Workbench (ST*), search for studies by keywords or disease, or generate comprehensive metabolomics research reports.
tooluniverse-chemical-safety
by mims-harvard
Comprehensive chemical safety and toxicology assessment integrating ADMET-AI predictions, CTD toxicogenomics, FDA label safety data, DrugBank safety profiles, and STITCH chemical-protein interactions. Performs predictive toxicology (AMES, DILI, LD50, carcinogenicity), organ/system toxicity profiling, chemical-gene-disease relationship mapping, regulatory safety extraction, and environmental hazard assessment. Use when asked about chemical toxicity, drug safety profiling, ADMET properties, environmental health risks, chemical hazard assessment, or toxicogenomic analysis.
wp-project-triage
by WordPress
"Use when you need a deterministic inspection of a WordPress repository (plugin/theme/block theme/WP core/Gutenberg/full site) including tooling/tests/version hints, and a structured JSON report to guide workflows and guardrails."
skill-security-framing
by nyldn
URL validation and content wrapping for untrusted sources. Use when: This skill provides SECURITY UTILITIES - it should be referenced by other skills,. not invoked directly by users. Auto-integrate when:. Fetching content from URLs
skill-content-pipeline
by nyldn
Multi-stage content analysis pipeline for external URLs. Use when: Use PROACTIVELY when user wants to:. "analyze this article", "analyze this content". "deconstruct this content", "break down this post"
skill-extract
by nyldn
Design system and product reverse-engineering
skill-doc-delivery
by nyldn
Convert markdown to DOCX, PPTX, XLSX office documents. Use when: AUTOMATICALLY ACTIVATE when user requests:. Export knowledge work to office formats (e.g., "export to Word", "create PowerPoint", "convert to DOCX"). Generate professional documents from research (e.g., "create presentation from this synthesis")
prompt-engineering
by inference-sh
"Master prompt engineering for AI models: LLMs, image generators, video models. Techniques: chain-of-thought, few-shot, system prompts, negative prompts. Models: Claude, GPT-4, Gemini, FLUX, Veo, Stable Diffusion prompting. Use for: better AI outputs, consistent results, complex tasks, optimization. Triggers: prompt engineering, how to prompt, better prompts, prompt tips, prompting guide, llm prompting, image prompt, ai prompting, prompt optimization, prompt template, prompt structure, effective prompts, prompt techniques"
design-patterns
by FlorianBruniaux
Analyze codebase for GoF design patterns - detection, suggestions, evaluation with stack-aware adaptations
cyber-defense-team
by FlorianBruniaux
Orchestrate a 4-agent cyber defense pipeline to analyze log files for threats. Spawns log-ingestor → anomaly-detector → risk-classifier → threat-reporter as parallel-then-sequential agents. Produces a Markdown incident report.
voice-refine
by FlorianBruniaux
Transform verbose voice input into optimized Claude prompts
cohort-analysis
by phuryn
"Perform cohort analysis on user engagement data — retention curves, feature adoption trends, and segment-level insights. Use when analyzing user retention by cohort, studying feature adoption over time, investigating churn patterns, or identifying engagement trends."
competitive-battlecard
by phuryn
"Create sales-ready competitive battlecards comparing your product against a specific competitor — positioning, feature comparison, objection handling, and win/loss patterns. Use when preparing sales teams, creating competitive materials, or responding to 'why not competitor X?'"
brainstorm-okrs
by phuryn
"Brainstorm team-level OKRs aligned with company objectives — qualitative objectives with measurable key results. Use when setting quarterly OKRs, aligning team goals with company strategy, drafting objectives, or learning how to write effective OKRs."
ab-test-analysis
by phuryn
"Analyze A/B test results with statistical significance, sample size validation, confidence intervals, and ship/extend/stop recommendations. Use when evaluating experiment results, checking if a test reached significance, interpreting split test data, or deciding whether to ship a variant."
sentiment-analysis
by phuryn
"Analyze user feedback data to identify segments with sentiment scores, JTBD, and product satisfaction insights. Use when analyzing user feedback at scale, running sentiment analysis on reviews or surveys, or identifying satisfaction patterns."
brainstorm-experiments-new
by phuryn
"Design lean startup experiments (pretotypes) for a new product. Creates XYZ hypotheses and suggests low-effort validation methods like landing pages, explainer videos, and pre-orders. Use when validating a new product idea, creating pretotypes, or testing market demand."
user-personas
by phuryn
"Create refined user personas from research data — 3 personas with JTBD, pains, gains, and unexpected insights. Use when building personas from survey data, creating user profiles from research, or segmenting users for product decisions."
elixir-essentials
by j-morgan6
MANDATORY for ALL Elixir code changes. Invoke before writing any .ex or .exs file.
claude-code-headless
by NeverSight
"Run Claude Code programmatically without interactive UI. Triggers on: headless, CLI automation, --print, output-format, stream-json, CI/CD, scripting."
prowler-compliance
by prowler-cloud
Creates and manages Prowler compliance frameworks. Trigger: When working with compliance frameworks (CIS, NIST, PCI-DSS, SOC2, GDPR, ISO27001, ENS, MITRE ATT&CK).
nextjs-15
by prowler-cloud
Next.js 15 App Router patterns. Trigger: When working in Next.js App Router (app/), Server Components vs Client Components, Server Actions, Route Handlers, caching/revalidation, and streaming/Suspense.