
Semantic search and Dataview-style queries across the Obsidian vault. Use when searching for notes by meaning, finding related content, querying frontmatter metadata, or answering questions about vault contents. Trigger phrases include "search vault", "find notes about", "what do I have on", "related notes", "list tasks", "show positions".
Browser automation CLI for AI agents. Use when the user needs to interact with websites, including navigating pages, filling forms, clicking buttons, taking screenshots, extracting data, testing web apps, or automating any browser task. Triggers include requests to "open a website", "fill out a form", "click a button", "take a screenshot", "scrape data from a page", "test this web app", "login to a site", "automate browser actions", or any task requiring programmatic web interaction.
Use lnget to fetch resources from L402-protected URLs that require Lightning payments. Covers basic fetching, payment limits (max cost, max routing fee), token cache management, and Lightning backend status. Use when an HTTP request returns 402 Payment Required and a Lightning micropayment is needed, or when downloading files behind a Lightning paywall.
Design and review CLIs for AI agent consumption. Covers machine-readable output, input hardening against hallucinations, schema introspection, context window discipline, dry-run safety rails, and skill file packaging. Use when building new CLIs, adding agent support to existing CLIs, reviewing CLI designs for agent compatibility, or wrapping APIs as CLI tools. Triggers: agent CLI, CLI for agents, machine-readable CLI, agent-first CLI, CLI agent DX.
Transform written content (blog posts, newsletters, articles) into visual slide deck images. This skill should be used when converting text content into presentation format, creating slide graphics from outlines, or generating visual summaries of written material.
Create distinctive, production-grade frontend interfaces with high design quality. Use this skill when the user asks to build web components, pages, or applications. Generates creative, polished code that avoids generic AI aesthetics.
Guide for creating effective skills. This skill should be used when users want to create a new skill (or update an existing skill) that extends Claude's capabilities with specialized knowledge, workflows, or tool integrations.
Writing style guide for Roasbeef's technical prose. This skill should be used when writing PR descriptions, commit messages, technical documentation, blog posts, or any written content that should match Roasbeef's established voice. Activate when creating PRs, drafting commit messages, writing release notes, or composing technical explanations.
Provides guidance for property-based testing across multiple languages and smart contracts. Use when writing tests, reviewing code with serialization/validation/parsing patterns, designing features, or when property-based testing would provide stronger coverage than example-based tests. For Go code, uses pgregory.net/rapid as the primary PBT framework.
Run and interact with lnd Lightning Network daemon in Docker. Use for Lightning development, testing payment channels on regtest, managing lnd containers, and calling lnd RPC endpoints (getinfo, connect, open/close channels, pay/receive). Supports bitcoind, btcd, and neutrino backends.
Generate and edit images using Gemini's image generation API (Imagen 3). This skill should be used when creating images, illustrations, diagrams, editing existing images, or iteratively refining visual content through multi-turn conversations.
This skill provides agent mail management via the Subtrate command center. Use when checking mail, sending messages to other agents, or managing agent identity.
This skill enables deep, execution-free code analysis using the "Semi-Formal Reasoning" methodology. Use it for complex debugging, patch verification, or subtle logic questions where standard inspection might miss edge cases. It requires the generation of a "Reasoning Certificate" verifying logic paths before delivering a conclusion.
Find similar vulnerabilities and bugs across codebases using pattern-based analysis. Use when hunting bug variants, building CodeQL/Semgrep queries, analyzing security vulnerabilities, or performing systematic code audits after finding an initial issue.
Run and interact with eclair Lightning Network daemon in Docker. Use for Lightning development, testing payment channels on regtest, managing eclair containers, and calling eclair API endpoints (getinfo, connect, open/close channels, pay/receive).
Refines an existing Go test suite — removes trivial/duplicate tests, strengthens weak assertions, reshapes tests around invariants, and closes branch-coverage gaps. Uses code-guided coverage and (when available) gremlins mutation-testing survivor data rather than relying on line coverage alone. Use when test quality is uneven, after a test-generation pass, before opening a PR, or as a quality gate on critical paths (consensus, channel state, payment flows). Triggers: "refine these tests", "tests are bloated", "tighten assertions", "remove trivial tests", "audit test quality", "/test-refine".
Validates Go test suite quality through mutation testing using go-gremlins/gremlins. Mutates production code, runs the test suite against each mutant, and reports which mutants the tests fail to kill — exposing weak assertions that line coverage cannot detect. Use when evaluating test effectiveness, validating newly written tests, or improving test quality for mission-critical code (consensus, channel state, payment flows, crypto). Triggers: "mutation test", "are these tests strong", "validate test quality", "/mutation-testing".
Clear-writing guide distilled from Steven Pinker's "The Sense of Style." Use when writing or revising prose that must be clear to a reader — documentation, design docs, specs, explanations, essays, emails, reports, RFCs, release notes — or when asked to make writing clearer, tighter, less academic, or less jargon-laden. Activate for "make this clearer", "tighten this", "why is this hard to read", "edit this for clarity", or any prose-quality pass.
Interactively debug Go programs in a single context using Delve (dlv) driven through tmux. Use when a bug requires runtime inspection — stepping through code, examining variables, walking goroutines, attaching to a live process, or debugging a hanging integration test — rather than just reading the source. Triggers include "step through this", "set a breakpoint", "attach to the running server", "why is this goroutine stuck", "debug this failing test".