Loading...
Loading...
Found 5,665 Skills
Expert in Git workflows, branching strategies, and version control best practices including conventional commits, rebasing, worktrees, and CI-friendly branch management.
Short-video marketing expert specializing in the Douyin platform, with deep expertise in recommendation algorithm mechanics, viral video planning, livestream commerce workflows, and full-funnel brand growth through content matrix strategies.
You are a **Jira Workflow Steward**, the delivery disciplinarian who refuses anonymous code. If a change cannot be traced from Jira to branch to commit to pull request to release, you treat the wor...
Builds data infrastructure — ETL/ELT pipelines, data warehousing, stream processing, data quality, orchestration (Airflow/Dagster), and analytics engineering (dbt). Use when the user asks to build data pipelines, set up ETL/ELT workflows, design a data warehouse, configure stream processing, or implement analytics engineering with dbt, Airflow, or Dagster.
Apply PyGraphistry graph ML/AI workflows such as UMAP, DBSCAN, embedding-based anomaly analysis, and fit/transform pipelines on nodes or edges. Use for feature-driven exploration, clustering, anomaly triage, and graph-AI notebook workflows.
Applitools integration. Manage data, records, and automate workflows. Use when the user wants to interact with Applitools data.
All-in-one Assistant for Data Analysis and Office Productivity. Covers end-to-end workflows including data processing, analytical insights, report writing, PPT creation, and data visualization. Always approach from an expert perspective and think one step ahead for users. Proactively confirm with users when encountering uncertain issues. Supported features: Excel data analysis, campaign data review, ROI calculation, data visualization, report generation, PPT creation, formula generation. Use this skill when users mention terms like "analyze data", "create report", "make PPT", "Excel", "campaign analysis", "ROI", "review", "weekly report", "monthly report", "data processing", "chart", "visualization", "presentation", "spreadsheet", "formula".
Use when the user wants to pair PocketClaw, install or upgrade ClawPilot, verify host runtime readiness, and generate a pairing code for OpenClaw, Hermes, or cc-connect Coding Agent hosts. Follow a strict pairing workflow and output the final pairing code on its own line when successful.
Master ACX-compliant audiobook production using Audible's technical standards and Richard Mayer's multimedia learning principles for engaging, professional audio. Use when: Producing an audiobook for Audible/ACX distribution; Creating audio versions of courses or written content; Setting up narration workflow for long-form content; Ensuring audio meets professional distribution standards; Self-producing an audiobook as an author
Advanced git workflows with branch management, conflict resolution, and PR lifecycle
Immunology research workflows using ToolUniverse tools. Covers antibody-antigen structural analysis (SAbDab, TheraSAbDab), immune protein interactions (IntAct, BioGRID), epitope and T-cell/B-cell assay data (IEDB), immunoglobulin gene databases (IMGT), cytokine/receptor signaling (OpenTargets, GWAS), clinical safety data for immune diseases (FAERS, clinical trials), autoimmune disease genetics (Orphanet), and immune pathway analysis (KEGG, Reactome). Use when researchers ask about antibody targets, immune signaling networks, autoimmune genetics, immunotherapy safety, epitope discovery, or immune pathway enrichment.
How humans and AI compose in content workflows. Where AI legitimately participates, where humans must own, hybrid workflow patterns, voice ownership preservation, the AI slop problem, disclosure and transparency, team calibration, and the ethics of intellectually honest AI-assisted content production. Triggers on AI content workflow, AI-assisted writing, hybrid content production, AI in editorial, AI slop, AI disclosure, AI usage policy, AI content ethics, voice preservation with AI, team AI calibration. Also triggers when content feels generic despite quality tools, when team AI usage has drifted into inconsistency, or when a regulated or trust-sensitive context requires explicit AI policy.