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Found 2,225 Skills
Explain blockchain fundamentals including distributed ledger architecture, consensus mechanisms, and block structure. Use this skill when the user needs to understand blockchain concepts, evaluate whether blockchain fits a use case, or design a blockchain-based solution — even if they say 'how does blockchain work', 'do I need blockchain', or 'distributed ledger'.
Store and retrieve agent memories across jobs. Enables long-term context, learning from past interactions, and building agent knowledge bases. Based on OpenClaw's memory-core architecture.
Use when building, fixing, or improving ANY SwiftUI UI — views, navigation, layout, animations, performance, architecture, gestures, debugging, iOS 26 features.
Scaffold Claude Code hooks into a real project after auditing the project structure in detail. Use when a user wants Claude Code hook setup, hook refactors, full hook-event scaffolding, or managed updates to existing .claude hooks. This skill verifies the live official Claude Code hook docs first, audits the target repo, then generates a bash-first hook scaffold with a hooks README, repeatable merge behavior, and coverage for every current hook event. Trigger on: Claude Code hooks, scaffold hooks, hook events, update hooks, hook architecture, .claude/settings.json. Do NOT use for generic Git hooks, Husky-only setup, or non-Claude agents.
Deploys the complete SDD architecture with engram persistence and ai-context/ memory layer in the current project. Trigger: /project-setup, initialize new project, setup SDD, configure claude project.
Decomposes a spec or architecture into buildable tasks with acceptance criteria, dependencies, and implementation order for AI agents or engineers. Produces `.agents/tasks.md`. Not for clarifying unclear requirements (use discover) or designing architecture (use system-architecture). For code quality checks after building, see review-chain. For packaging and PRs, see ship.
Prometheus and Grafana Cloud Metrics overview including PromQL query language, Metrics Drilldown, alerting, recording rules, and integration patterns. Use when working with Prometheus, writing PromQL queries, configuring alerting, or discussing metrics architecture and best practices.
Evaluates LLMs across 100+ benchmarks from 18+ harnesses (MMLU, HumanEval, GSM8K, safety, VLM) with multi-backend execution. Use when needing scalable evaluation on local Docker, Slurm HPC, or cloud platforms. NVIDIA's enterprise-grade platform with container-first architecture for reproducible benchmarking.
Enter this sub-process when conducting code optimization — handle tasks where 'behavior remains unchanged, structure changes' (structure / performance / readability). Shift single-module internal optimization from 'AI random refactoring' to 'first scan to generate a checklist, confirm each item with the user, execute step-by-step according to the method library, and require manual approval for each step'. Trigger scenarios: Users mention phrases like 'optimize it / refactor / rewrite / split it / poor performance / code is too long' without any accompanying behavior changes. Do not handle new requirements (route to feature), bugs (route to issue), or cross-module architecture restructuring (route to architecture + decisions).
Image generation and presentations. Use when: - User asks for images: logos, icons, app assets, diagrams, flowcharts, architecture diagrams, patterns, textures, photo edits, restorations - User needs a presentation or slide deck Covers nanobanana CLI for image generation and Slidev for presentations.
Local-first code intelligence — structural search, symbol context, impact analysis, and dead code detection via typed graph traversal. Use this skill when you need to search a codebase by intent (not just substring), understand how symbols connect, trace change impact before refactoring, find dead code, or get an architecture briefing. Triggers on: search codebase, find symbol, who calls, blast radius, impact analysis, dead code, code graph, structural search, architecture overview, codebase orientation, understand connections, what depends on, find where.
Meta-skill for understanding and customizing Mindfold Trellis — the all-in-one AI workflow system for 11 AI coding platforms (Claude Code, Cursor, OpenCode, iFlow, Codex, Kilo, Kiro, Gemini CLI, Antigravity, Qoder, CodeBuddy). Documents the original Trellis system design including architecture, commands, hooks, multi-agent pipelines, monorepo support, and task lifecycle hooks. Use when understanding Trellis architecture, customizing workflows, adding commands or agents, troubleshooting issues, or adapting Trellis to specific projects. Modifications should be recorded in a project-local trellis-local skill, not here.