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Claude Skills by mdbabumiamssm
github.com/mdbabumiamssm1,581 skills3 installs3,534 views
- Google Gemini Operations 2026--> --- name: google-gemini-operations-2026 description: Build and maintain Google Gemini API workflows using current docs and model catalog. Use when selecting Gemini models, implementing multimodal calls, or migrating code to the latest Google GenAI SDK patterns. measurable_outcome: Execute skill workflow successfully with valid output within 15 minutes. allowed-tools: - read_file - run_shell_command ---Votes: 0GitHub stars: 32
- Mistral Platform Operations 2026Integrate and operate Mistral APIs with current model catalog, SDKs, and agent features. Use when implementing Mistral chat, agents, conversations, files, or coding workflows.Votes: 0GitHub stars: 32
- OpenAI Platform Operations 2026--> --- name: openai-platform-operations-2026 description: Operate and integrate OpenAI APIs with current model, modality, and migration workflows. Use when building or updating OpenAI-based chat, reasoning, transcription, speech, image, or video pipelines, and when replacing deprecated models. measurable_outcome: Execute skill workflow successfully with valid output within 15 minutes. allowed-tools: - read_file - run_shell_command ---Votes: 0GitHub stars: 32
- XAI Grok Operations 2026Integrate and operate xAI Grok APIs with current documentation and SDK guidance. Use when implementing Grok tool use, Responses-style workflows, files or collections search, or migration from other provider SDKs.Votes: 0GitHub stars: 32
- AgentScope Runtime--> --- name: bio-agentscope-runtime description: Deploy AgentScope + AgentScope Runtime for secure sandboxed multi-agent services inside BioKernel. tool_type: mixed primary_tool: Unknown measurable_outcome: Execute skill workflow successfully with valid output within 15 minutes. allowed-tools: - read_file - run_shell_command --- AgentScope is a production-ready multi-agent framework with ReAct agents, memory, human-in-the-loop steering, MCP/A2A integrations, and voice support, while AgentSco...Votes: 0GitHub stars: 32
- Plan And Solve--> --- name: 'plan-and-solve-agent' description: 'Breaks down complex queries into a step-by-step plan before execution, improving performance on multi-hop reasoning tasks.' measurable_outcome: Execute skill workflow successfully with valid output within 15 minutes. allowed-tools: - read_file - run_shell_command --- The **Plan-and-Solve Agent** separates high-level planning from low-level execution. It is ideal for complex scientific inquiries that require multiple distinct steps (e.g., "Fin...Votes: 0GitHub stars: 32
- Agentic Evals ObservabilityDesign evaluation, tracing, monitoring, scope-control, and rollback discipline for agent systems. Use when an agent workflow is becoming important enough that you need evidence, not vibes, to decide whether it is good.Votes: 0GitHub stars: 32
- Automated Web Research--> --- name: automated-web-research description: Run evidence-first web research with multi-query search, page fetch, source vetting, and cited synthesis. Use when the answer depends on recent information, official documentation, or current external services. keywords: - research - web - citations - verification - official-docs measurable_outcome: Produce a cited brief grounded in at least 5 sources, with source-quality notes and unresolved gaps called out, within 20 minutes. metadata: autho...Votes: 0GitHub stars: 32
- Claude Code Operations 2026Build and operate Claude Code workflows in the terminal, IDE, and GitHub Actions with hooks, MCP, and approval-aware repo automation. Use when evaluating or deploying Anthropic's coding-agent surface rather than generic Claude API usage.Votes: 0GitHub stars: 32
- Computer Use Agents 2026Design and operate browser and desktop agents that rely on screenshots, mouse and keyboard control, or hybrid bash/editor/computer loops. Use when deciding between DOM automation, browser agents, and full computer-use workflows.Votes: 0GitHub stars: 32
- DeepResearch Swarm--> --- name: deep-research-swarm description: Coordinate a multi-agent research workflow for difficult literature or market-intelligence questions that need parallel search, verification, synthesis, and explicit evidence tracking. keywords: - research - literature - swarm - multi-agent - verification measurable_outcome: Produce a structured research package with search log, verified evidence summary, and open questions within 30 minutes for a focused topic. metadata: author: Biomedical OS Te...Votes: 0GitHub stars: 32
- Google ADK AgentsBuild, evaluate, and deploy agents with Google's Agent Development Kit (ADK). Use when you want code-first multi-agent systems, workflow agents, MCP tools, or Google-supported agent deployment paths.Votes: 0GitHub stars: 32
- LangGraph Self Hosted--> --- name: langgraph-self-hosted description: Deploy LangGraph Platform-compatible backends (Aegra) to run regulated biomedical agent workflows on private infrastructure with security guardrails. keywords: - langgraph - self-hosted - agentic-ai - fastapi - postgres measurable_outcome: Stand up a LangGraph-compatible deployment (API + persistence) behind your firewall, register at least one graph, and route traffic through it within 4 hours. license: Apache-2.0 (Aegra) metadata: author: Age...Votes: 0GitHub stars: 32
- Multi Agent Systems--> --- name: 'swarm-orchestrator' description: 'Run Agent Swarms' keywords: - swarm - orchestration - multi-agent - parallel-execution - routing measurable_outcome: Successfully coordinates 3+ specialized agents to resolve complex queries with 100% completion rate. allowed-tools: - read_file - run_shell_command --- This skill activates a multi-agent system where a central "Overmind" routes tasks to specialized agents. It is designed for complex queries requiring multiple perspectives (search...Votes: 0GitHub stars: 32
- OpenAI Codex AgentsBuild and operate OpenAI-first coding and agent workflows using Codex app/cloud, the Responses API, current GPT and Codex models, Agents SDK, hosted tools, tool search, MCP/connectors, skills, and approval-aware tool execution. Use when you need long-horizon software agents or OpenAI-native multi-agent orchestration.Votes: 0GitHub stars: 32
- OpenHands Coding Agent--> --- name: bio-openhands-coding-agent description: Run OpenHands headless CLI/SDK missions from BioKernel swarms for autonomous software work. tool_type: mixed primary_tool: Unknown measurable_outcome: Execute skill workflow successfully with valid output within 15 minutes. allowed-tools: - read_file - run_shell_command --- OpenHands (formerly OpenDevin) is a 70k+ star open-source coding agent stack that exposes the same engine through a Python SDK, a CLI, a local GUI, a hosted cloud works...Votes: 0GitHub stars: 32
- Memory Management--> --- name: memory-management description: Two-tier memory system that makes Claude a true workplace collaborator. Decodes shorthand, acronyms, nicknames, and internal language so Claude understands requests like a colleague would. CLAUDE.md for working memory, memory/ directory for the full knowledge base. keywords: - memory - context - decoding - glossary - collaboration measurable_outcome: Correctly identifies and decodes 90% of user-specific shorthands and acronyms in conversation. allo...Votes: 0GitHub stars: 32
- Task Management--> --- name: task-management description: Simple task management using a shared TASKS.md file. Reference this when the user asks about their tasks, wants to add/complete tasks, or needs help tracking commitments. keywords: - tasks - todo - tracking - active - dashboard measurable_outcome: Maintains an up-to-date TASKS.md reflecting all active user commitments and deadlines. allowed-tools: - read_file - run_shell_command --- Tasks are tracked in a simple `TASKS.md` file that both you and the ...Votes: 0GitHub stars: 32
- PydanticAI AgentsBuild typed, provider-agnostic agents with PydanticAI. Use when structured I/O, dependency injection, MCP support, and OpenTelemetry-friendly observability matter more than framework hype.Votes: 0GitHub stars: 32
- Scientific Discovery Agents 2026Design, evaluate, and operate agentic systems for biomedical and scientific discovery. Use when building or selecting agents for hypothesis generation, experiment planning, autonomous notebook analysis, lab-in-the-loop validation, pathology concept discovery, or multi-agent research workflows.Votes: 0GitHub stars: 32
- ClinicalGuidelineDevelopmentLlm Agent--> <!-- AUTHOR_SIGNATURE: 9a7f3c2e-MD-BABU-MIA-2026-MSSM-SECURE --> --- name: 'clinical-guideline-development-llm' description: 'Guide LLM-assisted clinical practice guideline drafting with real-time review, evidence traceability, recommendation grading, and clinician governance.' measurable_outcome: 'Execute skill workflow successfully with valid output within 15 minutes.' allowed-tools: - read_file - run_shell_command - web_fetch ---Votes: 0GitHub stars: 32
- ClinicalLlmEvaluationBenchmarking Agent--> <!-- AUTHOR_SIGNATURE: 9a7f3c2e-MD-BABU-MIA-2026-MSSM-SECURE --> --- name: 'clinical-llm-evaluation-benchmarking' description: 'Design and run clinical LLM evaluation benchmarks grounded in systematic review evidence on AI-generated clinical note evaluation methods.' measurable_outcome: 'Execute skill workflow successfully with valid output within 15 minutes.' allowed-tools: - read_file - run_shell_command - web_fetch ---Votes: 0GitHub stars: 32
- ClinicalLlmPatientEducation Agent--> <!-- AUTHOR_SIGNATURE: 9a7f3c2e-MD-BABU-MIA-2026-MSSM-SECURE --> --- name: 'clinical-llm-patient-education' description: 'Translate clinical documents into personalized patient education while preserving diagnostic meaning, uncertainty, next steps, and clinician-review safeguards.' measurable_outcome: 'Execute skill workflow successfully with valid output within 15 minutes.' allowed-tools: - read_file - run_shell_command - web_fetch ---Votes: 0GitHub stars: 32
- Clinvar Lookup--> --- name: bio-clinical-databases-clinvar-lookup description: Query ClinVar for variant pathogenicity classifications, review status, and disease associations via REST API or local VCF. Use when determining clinical significance of variants for diagnostic or research purposes. tool_type: python primary_tool: requests measurable_outcome: Execute skill workflow successfully with valid output within 15 minutes. allowed-tools: - read_file - run_shell_command ---Votes: 0GitHub stars: 32
- Dbsnp Queries--> --- name: bio-clinical-databases-dbsnp-queries description: Query dbSNP for rsID lookups, variant annotations, and cross-references to other databases. Use when mapping between rsIDs and genomic coordinates or retrieving basic variant information. tool_type: python primary_tool: myvariant measurable_outcome: Execute skill workflow successfully with valid output within 15 minutes. allowed-tools: - read_file - run_shell_command ---Votes: 0GitHub stars: 32
- Gnomad Frequencies--> --- name: bio-clinical-databases-gnomad-frequencies description: Query gnomAD for population allele frequencies to assess variant rarity. Use when filtering variants by population frequency for rare disease analysis or determining if a variant is common in the general population. tool_type: python primary_tool: requests measurable_outcome: Execute skill workflow successfully with valid output within 15 minutes. allowed-tools: - read_file - run_shell_command ---Votes: 0GitHub stars: 32
- Hla Typing--> --- name: bio-clinical-databases-hla-typing description: Call HLA alleles from NGS data using OptiType, HLA-HD, or arcasHLA for immunogenomics applications. Use when determining HLA genotype for transplant matching, neoantigen prediction, or pharmacogenomic screening. tool_type: cli primary_tool: OptiType measurable_outcome: Execute skill workflow successfully with valid output within 15 minutes. allowed-tools: - read_file - run_shell_command ---Votes: 0GitHub stars: 32
- Myvariant Queries--> --- name: bio-clinical-databases-myvariant-queries description: Query myvariant.info API for aggregated variant annotations from multiple databases (ClinVar, gnomAD, dbSNP, COSMIC, etc.) in a single request. Use when annotating variants with clinical and population data from multiple sources simultaneously. tool_type: python primary_tool: myvariant measurable_outcome: Execute skill workflow successfully with valid output within 15 minutes. allowed-tools: - read_file - run_shell_command ---Votes: 0GitHub stars: 32
- Pharmacogenomics--> --- name: bio-clinical-databases-pharmacogenomics description: Query PharmGKB and CPIC for drug-gene interactions, pharmacogenomic annotations, and dosing guidelines. Use when predicting drug response from genetic variants or implementing clinical pharmacogenomics. tool_type: python primary_tool: requests measurable_outcome: Execute skill workflow successfully with valid output within 15 minutes. allowed-tools: - read_file - run_shell_command ---Votes: 0GitHub stars: 32
- Polygenic Risk--> --- name: bio-clinical-databases-polygenic-risk description: Calculate polygenic risk scores using PRSice-2, LDpred2, or PRS-CS from GWAS summary statistics. Use when predicting disease risk from genome-wide genetic variants. tool_type: mixed primary_tool: PRSice-2 measurable_outcome: Execute skill workflow successfully with valid output within 15 minutes. allowed-tools: - read_file - run_shell_command ---Votes: 0GitHub stars: 32
- Somatic Signatures--> --- name: bio-clinical-databases-somatic-signatures description: Extract and analyze mutational signatures from somatic variants using SigProfiler or MutationalPatterns to characterize mutagenic processes. Use when identifying DNA damage mechanisms or etiology in cancer genomes. tool_type: mixed primary_tool: SigProfilerExtractor measurable_outcome: Execute skill workflow successfully with valid output within 15 minutes. allowed-tools: - read_file - run_shell_command ---Votes: 0GitHub stars: 32
- Tumor Mutational Burden--> --- name: bio-clinical-databases-tumor-mutational-burden description: Calculate tumor mutational burden from panel or WES data with proper normalization and clinical thresholds. Use when assessing immunotherapy eligibility or characterizing tumor immunogenicity. tool_type: python primary_tool: cyvcf2 measurable_outcome: Execute skill workflow successfully with valid output within 15 minutes. allowed-tools: - read_file - run_shell_command ---Votes: 0GitHub stars: 32
- Variant Prioritization--> --- name: bio-clinical-databases-variant-prioritization description: Filter and prioritize variants by pathogenicity, population frequency, and clinical evidence for rare disease analysis. Use when identifying candidate disease-causing variants from exome or genome sequencing. tool_type: python primary_tool: pandas measurable_outcome: Execute skill workflow successfully with valid output within 15 minutes. allowed-tools: - read_file - run_shell_command ---Votes: 0GitHub stars: 32
- Clinical NLP--> --- name: 'clinical-nlp-extractor' description: 'Extracts medical entities (Diseases, Medications, Procedures), patient outcomes with temporal anchors, and registry-oriented real-world data from unstructured clinical text using regex and simple rules (or LLM wrappers).' measurable_outcome: Execute skill workflow successfully with valid output within 15 minutes. allowed-tools: - read_file - run_shell_command --- The **Clinical NLP Skill** converts free-text clinical notes into structured d...Votes: 0GitHub stars: 32
- Clinical Note Summarization--> --- name: clinical-note-summarization description: Structure raw clinical notes into SOAP-format summaries with explicit contradictions, missing data, and ICD-linked assessments using the provided prompt + usage script. measurable_outcome: Produce SOAP markdown and JSON outputs covering all four sections with at least 95% note coverage and explicit missing information within 2 minutes per note. allowed-tools: - read_file - run_shell_command ---Votes: 0GitHub stars: 32
- Clinical Workflow Automation Agent--> --- name: clinical-workflow-automation description: An autonomous agentic system for automating and streamlining clinical workflows and healthcare administrative tasks. keywords: - clinical-workflow - healthcare-ai - automation - ehr-integration measurable_outcome: Automate routine clinical documentation, scheduling, or data entry tasks to save clinical staff time by over 50%. license: MIT metadata: author: OpenSource Healthcare AI Community version: "1.0.0" compatibility: - system: Pytho...Votes: 0GitHub stars: 32
- Multimodal Analysis--> --- name: 'multimodal-medical-imaging' description: 'Analyzes medical images (X-ray, MRI, CT) using multimodal LLMs to identify anomalies and generate reports.' measurable_outcome: Execute skill workflow successfully with valid output within 15 minutes. allowed-tools: - read_file - run_shell_command --- The **Multimodal Medical Imaging Analysis Skill** leverages state-of-the-art Vision-Language Models (VLMs) like Gemini 1.5 Pro and GPT-4o to interpret medical imagery alongside clinical text.Votes: 0GitHub stars: 32
- Medsam2 3d SegmentationOperate MedSAM2 for promptable segmentation of 3D medical images and medical videos, including CT lesion propagation, MRI volumes, RECIST-guided prompts, efficient CPU-oriented variants, training, and 3D Slicer integration. Use when generating or validating volumetric masks from sparse prompts or propagating masks through image slices or video frames.Votes: 0GitHub stars: 32
- Monai Medical ImagingBuild reproducible healthcare imaging pipelines with Project MONAI for DICOM, NIfTI, pathology, and multidimensional imaging tasks including preprocessing, augmentation, training, sliding-window inference, evaluation, model bundles, labeling, and deployment. Use when implementing medical image classification, segmentation, registration, detection, generative, or foundation-model workflows in PyTorch.Votes: 0GitHub stars: 32
- Precision Oncology Agent--> --- name: precision-oncology-agent description: Fuse genomic variants, pathology findings, and clinical context to draft evidence-linked therapy options for tumor board review. allowed-tools: - read_file - run_shell_command measurable_outcome: 'Deliver a ranked therapy list with OncoKB/NCCN citations plus data-gap checklist for every case within 10 minutes of receiving inputs.' ---Votes: 0GitHub stars: 32
- Prior Authorization--> --- name: 'prior-auth-coworker' description: 'Prior Auth Review' measurable_outcome: Execute skill workflow successfully with valid output within 15 minutes. allowed-tools: - read_file - run_shell_command --- This skill acts as an automated utilization management reviewer. It takes unstructured clinical notes and a procedure code, compares them against internal policy criteria (e.g., conservative therapy failure), and renders a decision.Votes: 0GitHub stars: 32
- PromiseAdProgressionSurvivalAgent Agent--> <!-- AUTHOR_SIGNATURE: 9a7f3c2e-MD-BABU-MIA-2026-MSSM-SECURE --> --- name: 'promise-ad-progression-survival-agent' description: 'Progression-aware multi-horizon survival agent that estimates calibrated 1/2/3/5-year risks of CN→MCI and MCI→AD conversion from irregular ADNI/TADPOLE tabular visit histories.' measurable_outcome: 'Execute skill workflow successfully with valid output within 15 minutes.' allowed-tools: - read_file - run_shell_command - web_fetch ---Votes: 0GitHub stars: 32
- ProsthetixAiProstheticRecommendations Agent--> <!-- AUTHOR_SIGNATURE: 9a7f3c2e-MD-BABU-MIA-2026-MSSM-SECURE --> --- name: 'prosthetix-ai-prosthetic-recommendations' description: 'Guide evidence-based prosthetic recommendation workflows inspired by ProsthetiX-AI clinical decision support for limb-loss care with clinician review.' measurable_outcome: 'Execute skill workflow successfully with valid output within 15 minutes.' allowed-tools: - read_file - run_shell_command - web_fetch ---Votes: 0GitHub stars: 32
- PsychiatryKnowledgeFusedReasoning Agent--> <!-- AUTHOR_SIGNATURE: 9a7f3c2e-MD-BABU-MIA-2026-MSSM-SECURE --> --- name: 'psychiatry-knowledge-fused-reasoning' description: 'Psychiatry CDS workflow for knowledge-fused augmented reasoning across diagnosis, risk assessment, medication reasoning, and care planning.' measurable_outcome: 'Execute skill workflow successfully with valid output within 15 minutes.' allowed-tools: - read_file - run_shell_command - web_fetch ---Votes: 0GitHub stars: 32
- RadGPT--> --- name: radgpt-radiology-reporter description: Radiology Reporter keywords: - radiology - report-generation - patient-friendly - summarization - explanation measurable_outcome: Generate a patient-friendly explanation of a radiology report with <1% hallucination rate within 30 seconds. license: MIT metadata: author: MD BABU MIA version: "1.0.0" compatibility: - system: Python 3.9+ allowed-tools: - run_shell_command - read_file --- An LLM-based agent designed to summarize and explain comp...Votes: 0GitHub stars: 32
- AI Safety Auditor--> --- name: ai-safety-auditor description: Validates clinical AI outputs for safety, bias, and hallucination risks before delivery to end-users or clinicians. keywords: - ai-safety - compliance - bias-detection - hallucination-check - clinical-validation measurable_outcome: Identifies 100% of critical safety violations and potential PHI leakage in generated clinical notes. license: MIT metadata: author: Biomedical AI Team version: "1.0.0" compatibility: - system: Python 3.10+ allowed-tools:...Votes: 0GitHub stars: 32
- Safety--> --- name: 'safety-monitor' description: 'Safety Monitor' measurable_outcome: Execute skill workflow successfully with valid output within 15 minutes. allowed-tools: - read_file - run_shell_command --- Agent responsible for compliance and safety checks. It inspects content for safety violations, toxins, or medical misinformation.Votes: 0GitHub stars: 32
- TestTimeKnowledgeClinicalLlm Agent--> <!-- AUTHOR_SIGNATURE: 9a7f3c2e-MD-BABU-MIA-2026-MSSM-SECURE --> --- name: 'test-time-knowledge-clinical-llm' description: 'Guide clinical LLM workflows that acquire and inject relevant medical knowledge at inference time to support safer decision-making without full fine-tuning.' measurable_outcome: 'Execute skill workflow successfully with valid output within 15 minutes.' allowed-tools: - read_file - run_shell_command - web_fetch ---Votes: 0GitHub stars: 32
- Trial Eligibility Agent--> --- name: trial-eligibility-agent description: Parse trial protocols and patient data to produce criterion-level MET/NOT/UNKNOWN determinations with evidence and gaps for clinical trial screening tasks. allowed-tools: - read_file - run_shell_command measurable_outcome: 'Produce a MET/NOT/UNKNOWN matrix with supporting citations for ≥90% of inclusion/exclusion criteria within 5 minutes per trial request.' ---Votes: 0GitHub stars: 32
- TrialGPT--> --- name: trialgpt-matching description: Trial shortlist keywords: - retrieval - ranking - ClinicalTrials - patient-profile measurable_outcome: Produce ≥5 ranked trials (when available) with rationale + missing-data notes within 3 minutes of receiving a patient query. license: MIT metadata: version: "1.0.0" compatibility: - system: Python 3.9+ allowed-tools: - run_shell_command - read_file --- Run the locally checked-out TrialGPT pipeline to retrieve, rank, and explain candidate trials fo...Votes: 0GitHub stars: 32