1.5K skills · sorted by relevance
Automate College Football Data operations through Rube MCP and Composio. Find tools for a requested task, check their input requirements and connection status, then execute operations individually or in batches.
Automate Browserless operations through Rube MCP and Composio. The skill finds available tools, checks their current input requirements, verifies the connection, and guides execution for individual tasks or batches of operations.
Automate Boxhero tasks through Rube MCP, a connection for agent tools. Discover suitable actions and their input requirements, verify the connection, and run individual or batch operations using the current tool definitions.
Use Ahrefs through Composio to research keywords, inspect backlinks, review organic search rankings, and track domain metrics over time. Compare SEO performance across competitors or site sections with batch analysis of up to 100 URLs.
Automate Appcircle operations through Rube MCP, a connection for agent tools. Search for available actions, confirm the service connection, and execute requests with the correct inputs, including batch operations when needed.
Guide HyperFrames video projects from setup and component selection through checks, previews, and rendering. Use command-line tools to inspect timelines, diagnose failures, compare frames, and choose local, batch, or cloud rendering for the finished composition.
Automate Krita image workflows through commands for project setup, layer management, filters, canvas resizing, and export. Use it for repeatable editing tasks, batch image processing, and structured results that AI agents can read.
Fit probabilistic models to single-cell measurements for integration across experiments, cell annotation, combined RNA and protein or ATAC analysis, and gene expression comparisons. The skill covers input requirements, training checks, reference mapping, and interpretation of model uncertainty.
Run molecular property predictions, explore molecular shapes, and estimate how compounds bind to proteins through a cloud Python API. Process compound batches and connect modeling steps without maintaining local high-performance computing infrastructure.
Use PathML for local pathology image research, from loading whole-slide images and splitting them into tiles to preprocessing and quality checks. Plan multiplex measurements, analyze spatial relationships between cells, and run model inference in bounded batches.
Build quantum circuits with Qiskit, test them locally, and prepare them for IBM quantum hardware. The skill covers hardware-specific circuit conversion, sampling, expectation values, and analysis of measurement results, uncertainty, and resource usage.
Extract text and its page coordinates locally from PDFs, Office documents, and images. Use OCR to read scans, export structured JSON or Markdown, process document folders, and render pages as PNG images for agents that analyze visual content.
Retrieve and combine protein annotations, biological pathways, and chemical identifiers from services such as UniProt, KEGG, and UniChem using Python. Supports cross-database lookups and batch identifier conversion while preserving multiple matches and failed requests.
Search scientific and technical topics with Exa, prioritize scholarly sources using publication and domain filters, and extract text from webpages or PDFs in batches to collect material for research.
Plan experiments before collecting data. Helps choose study designs, randomly assign subjects or samples, organize treatment combinations, and generate reproducible schedules while checking for confounding and repeated measurements incorrectly counted as independent samples.
Organize experiment photos, audio, and notes into Markdown logs with structured metadata. Assign experiment and sample batch IDs, archive original attachments, and optionally connect records to Feishu group messages or an Obsidian notebook.
Add Azure text and document translation to TypeScript applications. Includes examples for translating into multiple languages, detecting source languages, converting writing systems, submitting document batches, and checking translation progress and supported file formats.
Turn audio or video recordings into Markdown documents with transcripts and summaries. Use it for meeting notes, speaker identification, subtitle files, or batch transcription when several recordings need to become readable documentation.
Build Apache Airflow data pipelines with clear task dependencies and schedules. This skill guides workflow design, retries, monitoring, local testing, and production deployment, with patterns for investigating failed runs.
Automate Airtable record searches, creation, updates, and deletion through Rube MCP. Inspect table structures before making changes, manage fields and table metadata, and handle larger operations using pagination and batches within the documented limits.
Analyze binaries with Ghidra to locate important functions, follow references, and inspect decompiled code, a readable approximation of the original program. Support both interactive investigation and automated batch analysis without a graphical interface.
Set up Phoenix tracing for LLM applications in Python or TypeScript. The skill guides automatic and custom recording of individual operations, conversation grouping, metadata, feedback, and production settings such as batching and personal data masking.
Convert Markdown documents into HTML for web pages, documentation, or previews. Covers single files, batch conversion, and static site workflows, with guidance on tables, code blocks, math rendering, and handling untrusted content safely.
Convert Word documents into Markdown text for summarizing, searching, comparing, or extracting information. The bundled script saves embedded images alongside each document and supports processing entire folders, including subfolders, before the agent analyzes the converted content.