All Skills

This skill should be used when the user asks to design slides, plan slide layouts, choose a visual direction for a presentation, or invoke /deckwright:design. Researches visual design, plans how content sections become slides, and proposes the visual direction.

Problem analysis using Explore agents

Creates 4 core project docs (requirements.md, architecture.md, tech_stack.md, patterns_catalog.md). L3 Worker invoked by ln-110-project-docs-coordinator. ALWAYS created.

Post to Reddit using AppleScript Chrome control. Use when user wants to post to Reddit, share on subreddits, or promote open source projects on Reddit. Triggers on "post to reddit", "share on reddit", "reddit post", "submit to subreddit", or any Reddit posting request.

Socratic questioning protocol + user communication. MANDATORY for complex requests, new features, or unclear requirements. Includes progress reporting and error handling.

INVOKE THIS SKILL when users ask questions about specific visual UI elements (e.g., "What is this button?", "What does this section do?", "Can you change this element's color?") or when they want to identify/discuss particular page components, and the agent lacks information to infer which part of the web page the user refers to. This skill lets users draw/circle elements instead of describing them.

Creates 2 backend docs (api_spec.md, database_schema.md). L3 Worker invoked CONDITIONALLY when hasBackend or hasDatabase detected.

Test smart contracts comprehensively using Hardhat and Foundry with unit tests, integration tests, and mainnet forking. Use when testing Solidity contracts, setting up blockchain test suites, or validating DeFi protocols.

Implement Linkerd service mesh patterns for lightweight, security-focused service mesh deployments. Use when setting up Linkerd, configuring traffic policies, or implementing zero-trust networking with minimal overhead.

Create, track, and land convoys of related beads as primary work orders in the Gas Town multi-agent orchestration framework.

Comprehensive cryptocurrency market research and analysis using specialized AI agents. Analyzes market data, price trends, news sentiment, technical indicators, macro correlations, and investment opportunities. Use when researching cryptocurrencies, analyzing crypto markets, evaluating digital assets, or investigating blockchain projects like Bitcoin, Ethereum, Solana, etc.

Create hierarchical project plans optimized for solo agentic development. Use when planning projects, phases, or tasks that Claude will execute. Produces Claude-executable plans with verification criteria, not enterprise documentation. Handles briefs, roadmaps, phase plans, and context handoffs.

This skill should be used when creating or modifying Claude Code components including skills, slash commands, agents, and hooks. It provides naming conventions, structure guidelines, best practices, and antipatterns.

Creates reference documentation structure + smart documents (ADRs/Guides/Manuals) based on TECH_STACK. Only creates justified documents (nontrivial technology choices). L2 Worker in ln-100-documents-pipeline.

Tracks LLM token consumption and usage metrics for billing, monitoring, and optimization. Use this to log token usage, calculate costs, generate invoices, and understand which agents or users consume the most resources.

Coordinates 4 specialized audit workers (query efficiency, transaction correctness, runtime performance, resource lifecycle). Researches DB/ORM/async best practices, delegates parallel audits, aggregates results into docs/project/persistence_audit.md.

Prove and counter-prove a statement using parallel agents to eliminate confirmation bias. Use when someone says "dialectic", "prove/disprove", "stress test this claim", "is this really true", "argue both sides", or when a statement needs objective analysis from opposing viewpoints.

Code review guidelines covering code quality, security, and best practices.

Memory-efficient fine-tuning with 4-bit quantization and LoRA adapters. Use when fine-tuning large models (7B+) on consumer GPUs, when VRAM is limited, or when standard LoRA still exceeds memory. Builds on the lora skill.

SOTA Docker/Compose architecture, implementation, refactor, and security hardening. Use when working on containerization tasks such as creating or rewriting Dockerfiles, docker-compose files, buildx/bake configs, .dockerignore, and CI pipelines for build/test/scan/publish; auditing existing container setups for security, correctness, size/perf, and best practices (least privilege, non-root, minimal images, pinned base images, BuildKit secrets, healthchecks); debugging Docker build/run issues; or designing dev vs prod compose workflows across services (DB/cache/queues) with correct networking, volumes, secrets, and resource limits.

'Inline risk classification for agent tasks using a 4-tier model. Hybrid

Automated test validation, coverage checking, and quality metrics with aggressive defaults

AI operational modes (brainstorm, implement, debug, review, teach, ship, orchestrate). Use to adapt behavior based on task type.

Bash/Linux terminal patterns. Critical commands, piping, error handling, scripting. Use when working on macOS or Linux systems.