Results for “xurl”
11 skillsXurl
X/Twitter via xurl CLI: post, search, DM, media, v2 API.
0
Xurl
Interact with X (Twitter) via the official xurl CLI: post, reply, search, DM, manage media, and access v2 API endpoints.
2
Xurl
xurl CLI for authenticated X posts, replies, reads/search, DMs, media upload, followers, auth status, or raw v2 API calls.
0
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Xurl
Interact with X/Twitter via xurl, the official X API CLI. Use for posting, replying, quoting, searching, timelines, mentions, likes, reposts, bookmarks, follows, DMs, media upload, and raw v2 endpoint access.
0
Xurl
Interact with the X (Twitter) API through the xurl CLI, covering posting, reading, searching, engagement, and account management.
61
Xurl
A CLI tool for making authenticated requests to the X (Twitter) API. Use this skill when you need to post tweets, reply, quote, search, read posts, manage followers, send DMs, upload media, or interact with any X API v2 endpoint.
9
Jira Jql
Expert-level skill for Jira Query Language (JQL). Use when the user asks about writing, debugging, optimizing, or understanding JQL queries; needs to filter Jira issues by complex criteria, date ranges, history, or cross-project conditions; wants to build saved filters, dashboard gadgets, or automation rules; or needs guidance on JQL performance, functions, operators, history operators (WAS/CHANGED), relative dates, role-based query patterns, or the JQL REST API.
28 · bundle
Linear
Linear: manage issues, projects, teams via GraphQL + curl.
0 · bundle
Linear
Manage Linear issues, projects, and teams via the GraphQL API. Create, update, search, and organize issues. Uses API key auth (no OAuth needed). All operations via curl — no dependencies.
0 · bundle
GRAPHQL
Design GraphQL schemas, resolvers, and DataLoader patterns, integrate with Apollo/urql, and implement federation for microservices.
42.4k
Jupyter Live Kernel
Use a live Jupyter kernel for stateful, iterative Python execution via hamelnb. Load this skill when the task involves exploration, iteration, or inspecting intermediate results — data science, ML experimentation, API exploration, or building up complex code step-by-step. Uses terminal to run CLI commands against a live Jupyter kernel. No new tools required.
0 · bundle