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Found 9,547 Skills
Manage TestFlight beta groups and testers using the `asc` CLI tool. Use this skill when: (1) Listing beta groups for an app (`asc testflight groups list`) (2) Listing testers in a group (`asc testflight testers list --group-id <id>`) (3) Adding a single tester by email (`asc testflight testers add`) (4) Removing a tester from a group (`asc testflight testers remove`) (5) Bulk-importing testers from a CSV file (`asc testflight testers import`) (6) Exporting testers to CSV for re-use (`asc testflight testers export`) (7) User says "add beta tester", "invite tester", "remove tester", "import testers", "export testers", "list beta groups", or any TestFlight tester management task
Invoke Alibaba Cloud Apsara Data Agent for Analytics via CLI to perform natural language-driven data analysis on enterprise databases. Data Agent for Analytics is an intelligent data analysis agent developed by Alibaba Cloud Database team for enterprise users. It automatically completes requirement analysis, data understanding, analysis insights, and report generation based on natural language descriptions. This tool supports: discovering data resources (instances/databases/tables) managed in DMS, initiating query or deep analysis sessions, real-time progress tracking, and retrieving analysis conclusions and generated reports. Use this Skill when users need to query databases, analyze data trends, generate data reports, ask questions in natural language, or mention "Data Agent", "data analysis", "database query", "SQL analysis", "data insights".
Launch the discuss CLI on a markdown file (or piped stdin) through a monitor-type background tool, stream its event log, and participate in the review by posting "takes" (agent views) on threads the user opens. Use when invoked as /discuss <markdown-path> or when the user wants to review markdown content piped from another command.
Use the public `orca` CLI to operate Orca-managed worktrees, folder contexts, terminals, repos, automations, worktree comments, and the browser embedded inside the Orca app. Use when the user says "$orca-cli", "use orca cli", "Orca worktree", "child worktree", "cardStatus", "spawn codex/claude in a worktree", "read/wait/send Orca terminal", "terminal send", "Orca browser", or "control the browser inside Orca". Prefer this over raw `git worktree`, ad hoc PTYs, Playwright, or Computer Use when the task touches Orca-managed state. Use Computer Use for browser windows, webviews, or desktop UI outside Orca's embedded browser.
Reason about drug repurposing strategies in HCLS — choosing between target-based and phenotype-based approaches, evaluating mechanism-of-action overlap, querying drug-gene interaction databases, assessing clinical translatability, and ranking candidates by evidence strength. Use when the user asks to repurpose a drug, find approved drugs for a new indication, evaluate a repurposing candidate, query DGIdb or OpenTargets, assess drug-target interactions, design a repurposing study, rank repurposing evidence, or evaluate translatability of a candidate. Triggers include "drug repurposing", "repurpose", "repositioning", "new indication", "off-label use", "target-based repurposing", "phenotype-based repurposing", "CMap", "L1000", "DGIdb", "OpenTargets", "DrugBank", "ChEMBL", "mechanism of action overlap", "drug-gene interaction", "translatability", "existing safety data", "repurposing evidence hierarchy".
Reasoning skill for designing AWS GenAI and ML architectures for healthcare and life sciences workloads. Use when the user asks to choose between SageMaker and Bedrock, design a RAG system over medical literature, architect clinical NLP or medical imaging inference, plan genomics or drug discovery pipelines on AWS, address HIPAA/PHI compliance in ML systems, design MLOps for regulated clinical models, or optimize cost for HCLS ML workloads. Triggers include "AWS architecture", "SageMaker vs Bedrock", "HIPAA ML", "clinical RAG", "medical imaging inference", "genomics on AWS", "PHI training", "MLOps healthcare", "Bedrock guardrails", "HealthLake", "HCLS cloud architecture", "BAA compliance", "SageMaker endpoint", "Bedrock knowledge base", "clinical NLP on AWS", "FDA SaMD on AWS".
Use Gemini CLI to simplify the current pull request by safely reducing unnecessary scope, complexity, and noise while preserving the intended outcome.
Printing Press CLI for Jira Cloud Platform. Jira Cloud Platform REST API documentation
Play Cookie Clicker online free unblocked on SERP Games.
Transform a Webwright "Crafted CLI" (the parameterized final_script.py produced by a `webwright craft` run) into a deployed, hosted Intuned project. Use when the user wants to port, convert, host, or deploy a Webwright craft/reusable CLI to the cloud — Intuned is the hosting target — or says "turn this craft into an Intuned project", "host this on Intuned", "host this webwright on the cloud", "deploy this craft to the cloud", "run this webwright in the cloud". Faithfully maps one parameterized craft function to one Intuned `automation` API, scaffolds the project, runs it locally, deploys it, and verifies a standalone platform run.
This skill provides instructions for interacting with Todoist using the td CLI tool. It covers CRUD operations for tasks/projects/sections/labels/comments, and requires confirmation before destructive actions. Use this skill when the user wants to read, create, update, or delete Todoist data.
Use when needing to search Jira issues, retrieve issue details, get pull request links, or manage issue workflows programmatically - provides complete workflows and examples for common Jira automation tasks using the atlassian CLI