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Found 1,636 Skills
After installing the full k-skill bundle, configure and verify the shared cross-platform setup with sops plus age, then optionally wire update checks and GitHub starring with explicit user consent.
Sets up GitOps CI/CD pipelines for TrueFoundry using tfy apply. Supports GitHub Actions, GitLab CI, and Bitbucket Pipelines.
Operate notifications as one ECC-native workflow across GitHub, Linear, desktop alerts, hooks, and connected communication surfaces. Use when the real problem is alert routing, deduplication, escalation, or inbox collapse.
Clone or update https://github.com/vibe-motion/procedural-fish and render procedural-fish animation to a video using the project's own render command. Use when the user asks to render 程序鱼/procedural fish, export a 程序鱼视频, or run procedural-fish Remotion rendering.
Use this skill when the user mentions phrases such as: "analyze a project", "analyze a repository", "analyze GitHub", "project analysis", "source code analysis", "architecture analysis", "code analysis", "learn this project", "research this framework", "see how this library is implemented", "compare two projects", "project evaluation", "framework evaluation"
Systematically find root causes and fix bugs. Use when debugging errors, investigating test failures, reproducing bugs from issue trackers (GitHub, Linear, Jira), or when stuck on a problem after failed fix attempts. Also use when the user says 'debug this', 'why is this failing', 'fix this bug', 'trace this error', or pastes stack traces, error messages, or issue references.
Generate user demand research reports from real user feedback. Scrape and analyze feature requests, complaints, and questions from Reddit, X, and GitHub.
Check service status, rename services, change service icons, link services, or create services with Docker images. For creating services with local code, prefer railway-new skill. For GitHub repo sources, use railway-new skill to create empty service then railway-environment skill to configure source.
Configure AI coding agents like Cursor, GitHub Copilot, or Claude Code with project-specific patterns, coding guidelines, and MCP servers for consistent AI-assisted development.
Track deep work sessions locally (start/stop/status) and generate a GitHub-contribution-graph style minutes-per-day heatmap for sharing (e.g., via Telegram). Use when the user says things like “start deep work”, “stop deep work”, “am I in a session?”, “show my deep work graph”, or asks to review deep work history.
Convert academic papers into in-depth technical articles with support for multiple writing style options. Use MinerU Cloud API for high-precision PDF parsing, automatically extracting images, tables, and formulas. Optional formula explanations, GitHub code analysis, and generate Markdown and HTML formats.
Find, install, and configure MCP servers. Use proactively for MCP discovery, OAuth setup, env vars, stdio vs SSE transport, or troubleshooting MCP connections. Examples: - user: "Add the filesystem MCP server" → read server file, add to mcpServers in opencode.json, verify transport type - user: "How do I use MCP with GitHub?" → check catalog, install @modelcontextprotocol/server-github, configure OAuth token - user: "MCP not connecting" → check transport type (stdio/SSE), verify args/command, check env vars are passed - user: "What MCPs are available?" → run list_mcps.py, show catalog with auth types and install commands