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Found 7,035 Skills
Research and extract an engineer's coding style, patterns, and best practices from their GitHub contributions. Creates structured knowledge base for replicating their expertise.
Set up and maintain a persistent, LLM-managed knowledge base for a digital health project — turning clinical observations, papers, interviews, and planning docs into a compounding, interlinked wiki.
Semantic code search, relationship mapping, and codebase intelligence. Provides deep code analysis including symbol search, dependency tracking, change impact analysis, and codebase Q&A.
Integrate markstream-angular into an Angular app. Use when Codex needs standalone component imports, signal-based examples, CSS wiring, custom HTML tags or customComponents setup, or optional peer integration in an Angular repository.
Build and maintain an LLM-curated personal knowledge base — the "LLM Wiki" pattern from Andrej Karpathy's April 2026 gist. Use this skill whenever the user wants to ingest a source (paper, article, transcript, PDF, notes) into a persistent compounding knowledge base, ask a question against accumulated notes, lint or audit such a base, or initialize a new one. Trigger on phrases like "add this to my wiki", "ingest this paper", "compile this into the knowledge base", "what does my wiki say about X", "lint the wiki", "build a knowledge base from these documents", "research notes", "second brain", "personal knowledge base", or any reference to LLM Wiki / OmegaWiki. Trigger even when the user does not say "wiki" — if they are accumulating sources over time and want them organized, this applies. The skill scales — sharded indexes, atomic pages, YAML frontmatter, and a bundled search script keep the wiki from becoming a context bottleneck at hundreds or thousands of pages.
Ask questions and read documentation about any GitHub repository using DeepWiki MCP. Use when you need to understand a codebase, find specific APIs, or get context about a repository.
Expert guidance for writing efficient, correct Active Record queries in Rails 8.1. Use when writing queries, finding records, building scopes, fixing N+1 queries, using where clauses, includes, joins, eager loading, filtering, searching, plucking data, selecting records, or optimizing database queries. Covers where, find, scopes, includes vs preload vs eager_load, joins, pluck, select, calculations, batching, and query anti-patterns.
Internal sub-skill: agentic review of a printed CLI's sampled command output for plausibility issues that rule-based checks can't encode (substring-match relevance, format bugs, silent source drops, ranking failures). Invoked via the Skill tool by main printing-press SKILL.md (Phase 4.85) and printing-press-polish SKILL.md during the diagnostic loop. Not for direct user invocation — its actionable wrappers are /printing-press and /printing-press-polish.
Set up gbrain for this coding agent: install the CLI, initialize a local PGLite or Supabase brain, register MCP, capture per-remote trust policy. One command from zero to "gbrain is running, and this agent can call it." Use when: "setup gbrain", "connect gbrain", "start gbrain", "install gbrain", "configure gbrain for this machine". (gstack)
Create implementation task plans in `_/local-plans/<plan-name>.md`. First investigate the codebase using the Explore Agent, then document it in verifiable granularity and parallel-executable units, following the standard format (Background & Purpose, Current Status, Design, File Structure Tree, Implementation Steps, Verification Methods) that can be validated by the plan-verifier Agent. Used for requests like "Make a plan", "Design", "Task decomposition", "Think about implementation approach". plan, planning, design, implementation plan, task decomposition, create-plan
Read, create, and manage Notion pages, databases, and workspaces. Use when the user mentions Notion, knowledge base, notes, wiki, or document management.
Generate UML diagrams, architecture diagrams, and flowcharts for any project. After analyzing the codebase, let users select the type of diagram to generate, render it as HTML+SVG using the architecture-diagram skill, and save it to the docs/ directory. Suitable for documentation visualization of any software project.