Manage and troubleshoot Hyperlift applications through the Spaceship public API. Use when the user wants to list or inspect Hyperlift applications, trigger or monitor builds, read build or runtime logs, inspect resource metrics, read or update environment variables, restart an application, or start/stop (scale) an…
A skill for writing non-functional requirements, which describe qualities such as performance, reliability, security, and scalability rather than specific features.
Standard playbook for performing a per-customer billing audit in SubSync. Use whenever the user asks to "audit billing", "check overdue", "review payment status", or otherwise needs a holistic view of a single customer's billing health. Covers the canonical 3-call sequence and the summary format that downstream UI…
Build terminal user interfaces (TUI) with the Python Textual framework. Use when the user wants to create a terminal app, TUI, CLI dashboard, interactive terminal tool, or any rich terminal interface using Python. Triggers on mentions of Textual, TUI, terminal UI, terminal app, terminal dashboard, ncurses alternative…
Use agentkaizen to measure and prove whether your AI coding agent actually follows instructions. Works natively — no installation required. Use this skill when: you want to score a recent Codex or Claude Code session and check rule compliance (did it branch before work? stay within tool limits?); you changed AGENTS.md…
Query databases (PostgreSQL, MySQL, SQLite, SQL Server) and inspect schema metadata. Use when the user wants to run SQL queries, list tables/views, or inspect table columns against any database. Runs non-interactively by inferring the database type and connection string from context; only ask the user when those…
Generates ZK Framework ZUL pages (.zul) through a structured 5-step workflow: requirements clarification, ZUL generation, validation, controller generation, and a rendered-image self-review. Every step also stands alone, so use this skill for a single step too — validating an existing .zul, writing the…
Design engaging, visually distinctive README.md files that stand out from generic boilerplate. Use when the user asks to create, redesign, or improve a README or project documentation landing page. Produces polished GitHub-flavored markdown with intentional structure, diagrams, and visual craft.
Discover, inventory, dedupe, score, and monitor public SOURCES of agent skills (repos, directories, awesome-lists, mirrors) across GitHub, GitLab, Bitbucket, Codeberg/Forgejo, SourceHut, generic git, and websites. Keeps a durable SQLite inventory with no duplicate rows and no duplicate notifications, and emits…
Use when the user invokes /pr-explain or wants a reader-facing explainer page for a pull request. It is a plain-words page with five chapters. They are: what & why, a walkthrough of the whole diff, every test enumerated, a scored proof, and confirm commands run with their real output. It is published as a private…
Comprehensive guide for building AI agents with LangChain TypeScript SDK. Covers LangChain agents, LangGraph orchestration, Deep Agents harness, tools, models, middleware, memory, streaming, and provider integrations. Use when working with langchain npm packages, creating ReAct agents, building stateful workflows with…
A structured code-review skill that examines code for quality, security, performance, and ease of maintenance. It formats the results as an improvement report.
Use this skill whenever the user wants to create, read, edit, or manipulate Word documents (.docx files). Triggers include: any mention of 'Word doc', 'word document', '.docx', or requests to produce professional documents with formatting like tables of contents, headings, page numbers, or letterheads. Also use when…
A data-recovery skill that uses a local small language model and semantic grouping to detect and correct data problems automatically. A data pipeline is a process that moves and transforms data between systems.
The house Rails style, distilled from 37signals practice (Campfire, Fizzy, DHH's reviews). Use for all Rails coding, refactoring, and code review so architecture, naming, and safety standards stay consistent; fires on work touching models, concerns, controllers, routing, REST, authorization, dependencies, naming…
A handoff and return workflow for continuing work with an AI agent after hours or days away. It records task status, decisions, next steps, unanswered questions, and gaps in understanding.
Production-grade Ethereum/EVM development workflow for smart contracts, dApps, transactions, clients, gas optimization, testing, security review, deployment, verification, monitoring, and incident response across Foundry, Hardhat, Solidity, TypeScript, viem, ethers, wagmi, and common EVM networks.
Runs a structured rigor check over code before it ships, with a specific mode for AI-generated output. Covers problem framing, edge cases, failure modes, explainability, and AI-specific failure patterns — hallucinated APIs, plausible-but-wrong library behavior, tests that mirror the code, defensive scaffolding that…
Writes, reviews, and optimizes TinyGo code for microcontrollers and WebAssembly. Use when building embedded systems with TinyGo, flashing firmware to boards, writing WASM/WASI modules with TinyGo, integrating hardware drivers, or optimizing binary size for constrained devices.
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originalMIT
At most 3 mods per repository are shown here, and a mod shipped inside a plugin is left to that plugin's page — the rest are on their repository pages: