add-platformresearch
Captures CLI configuration and hooks system documentation for the new platform. Use when starting platform integration.
Discover DevOps skills, compare source repositories and read the instructions for each workflow.
Captures CLI configuration and hooks system documentation for the new platform. Use when starting platform integration.
Updates DeepWork standard jobs in src/ and syncs to installed locations. Use when modifying deepwork_jobs or deepwork_rules.
Creates a rule file that triggers when specified files change. Use when setting up documentation sync, code review requirements, or automated commands.
Pulls latest code and runs tests until all pass. Use after code review passes to verify changes work correctly.
"Sets up platform directories and verifies deepwork install works correctly. Use after implementation to confirm integration."user-invocable: false---
"Creates platform adapter, templates, tests with 100% coverage, and README documentation. Use after adding hook capabilities."user-invocable: falsehooks: Stop:
Creates and manages multi-step AI workflows. Use when defining, implementing, or improving DeepWork jobs.
Verifies changed files, creates commit, and pushes to remote. Use after linting passes to finalize changes.
Reviews code, runs tests, lints, and commits changes. Use when ready to commit work with quality checks.
Provides comprehensive code review feedback based on best practices, style guides, and potential bug detection. Use when the user requests a code review, asks for improvements to code, or needs to ensure code q...
Matches patient profiles to open clinical trials using vector similarity and inclusion/exclusion criteria. Use when a user provides patient data and asks for relevant trials.
Extracts medical entities (Diseases, Medications, Procedures) from unstructured clinical text using regex and simple rules (or LLM wrappers).
Analyzes React/Next.js code for performance bottlenecks, focusing on waterfalls, bundle size, and rendering efficiency.
Essential guidelines for writing modern, type-safe, and idiomatic Python 3 code.
Deploys a multi-agent swarm (Researcher, Reviewer, Safety Officer) to solve complex biomedical or research tasks in parallel.
A specialized tool for designing efficient and specific gRNA sequences for CRISPR-Cas9 experiments.
Optimizes black-box functions (e.g., experimental yield) using Gaussian Processes, ideal for self-driving labs.
Breaks down complex queries into a step-by-step plan before execution, improving performance on multi-hop reasoning tasks.
Standards for efficient, readable, and performant data manipulation using Python's Pandas library.
Provides comprehensive tools for working with Electronic Health Records (EHR) using the HL7 FHIR standard.
Drafts regulatory documents (FDA, EMA) with audit trails and specific "Thinking Block" reasoning. Use for high-stakes compliance writing.
Guidelines for building scalable, SEO-friendly applications with Next.js (App Router).
Predicts 3D protein structures from amino acid sequences using ESMFold or AlphaFold3 (mock).
Designs guide RNA (gRNA) sequences for CRISPR-Cas9 editing, including off-target analysis. Use when a user needs to edit a gene or asks for gRNA sequences.
The default order uses GitHub repository stars from our indexed data. Stars belong to the source repository and may be shared by multiple skills. They indicate repository interest, not skill installs or an independent quality score.