Appsilon
Official@appsilon · Warsaw, Poland
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Agent Skills by Appsilon
Showing 20 vetted skills indexed across 1 GitHub repositories.
Appsilonagent-browser
Control a web browser to navigate, fill forms, and extract data.
Appsiloncode-review
Identify and document code change issues across architecture, security, conventions, and quality.
Appsilonrenovate-review
Review and validate Renovate dependency PRs with CI checks and verdicts.
Appsilonknowledge-base
Ingest sources into an LLM-maintained wiki with frontmatter and folder-structure requirements.
Appsilongenerate-pitch
Generate a Marp pitch deck from product vision and structure files.
Appsilone2e-test
Create, execute, and document Playwright end-to-end UI journey tests with GIF recording.
Appsiloncommunity
Convert rough notes into short and detailed Discord updates.
Appsilongenerate-steps
Generate structural WorkflowDefinition YAML with steps, transitions, and triggers.
Appsilongenerate-execution-proposals
Discover available plugins and generate execution proposals with enriched WorkflowDefinition steps.
Appsilonrank-changes
Rank GitHub commits, PRs, and issues by community interest into a JSON file.
Appsilondraft-discord-posts
Draft short and detailed Discord posts from ranked GitHub changes.
Appsilonbuild-teal-app
Generate Teal Shiny apps from ADaM datasets and push to GitHub.
Appsilondeploy-teal-app
Generate Teal app code from cowork artifacts and push to GitHub.
Appsilonsdtm-to-adam
Generate ADaM datasets from SDTM sources with R scripts and JSON outputs.
Appsilontrial-metadata-extractor
Extract structured metadata from clinical trial Protocol and SAP documents into JSON.
Appsilonadam-to-tlg
Generate R scripts and TLG outputs from ADaM datasets and mock shells.
Appsilonmock-tlg-generator
Generate mock TLG shells from trial metadata JSON into a Markdown package.
Appsilonadam-to-teal
Generate a Shiny-based teal app from ADaM datasets and mock TLG shells.
Appsilondraft-rejection-note
Generate a markdown rejection note for the CRO from validation inputs and a template.
Appsilondata-validator
Translate CORE validation results into an HTML report and JSON verdict.
Frequently Asked Questions About Appsilon
FAQPage SchemaWhat specific clinical trial tasks can be performed using these capabilities?▼
These capabilities enable the extraction of metadata from clinical trial protocols, the conversion of SDTM sources into ADaM datasets, and the generation of mock TLG shells and Shiny-based visualization applications.
Which personas benefit most from these technical offerings?▼
Clinical data scientists, biostatisticians, and software quality engineers benefit from these capabilities by streamlining the transition from raw clinical data to validated regulatory reporting and interactive dashboarding.
What are the primary prerequisites for generating clinical trial applications?▼
Successful execution requires structured SDTM source data, clinical trial protocol documentation, and established mock TLG shells to serve as the foundation for generating Shiny-based visualization outputs.