AI & LLM Integration for Claude Code

/cs:patent <invention> — Patent prior-art + landscape intelligence with mandatory sub-use-case commitment. 6-Q grill-me intake (Q2 picks one of. Slash command for Claude Code, Codex CLI, Gemini CLI.

Multi-source recency research persona. Walks 2–4 forcing intake questions one at a time (topic specificity, angle, time window, platform scope), runs. Agent-native orchestrator for Claude Code, Codex, Gemini CLI.

Hybrid research router + fallback persona. Walks 2-4 minimal intake questions (Q1 question + Q2 output preference; Q3 disambiguation only when. Agent-native orchestrator for Claude Code, Codex, Gemini CLI.

/cs:research <question> — Default research entry point. Hybrid router: classifies question deterministically and either delegates to specialist. Slash command for Claude Code, Codex CLI, Gemini CLI.

Hybrid research router + fallback persona. Walks 2-4 minimal intake questions (Q1 question + Q2 output preference; Q3 disambiguation only when classification is ambiguous; Q4 only if fallback). Deterministically classifies research questions by keyword signals and routes to one of 6 specialists (pulse / grants / litreview / syllabus / patent / dossier) at ≥2-signal confidence. Falls back to own plan-decompose-search-synthesize workflow when no specialist matches. NEVER delegates silently — alway

Dispatched sub-agent that ingests a new source into an LLM Wiki vault. Reads the source, proposes TL;DR and key claims, identifies which. Agent-native orchestrator for Claude Code, Codex, Gemini CLI.

Dispatched sub-agent that answers queries against an LLM Wiki vault. Reads index.md first, drills into 3-10 relevant pages across categories. Agent-native orchestrator for Claude Code, Codex, Gemini CLI.

/cs:workflow-build <task-description> — Design and write a deterministic Claude Code workflow (.js). Opens with intake questions, infers-and-proposes. Slash command for Claude Code, Codex CLI, Gemini CLI.

/cs:workflow-build <task-description> — Design and write a deterministic Claude Code workflow (.js). Opens with intake questions, infers-and-proposes a topology when the request is vague, then scaffolds + validates the file. Use when building or running a custom Claude Code workflow.

/cs:write-a-skill <name-or-description> — Author a new agent skill with Matt Pocock's 3-phase workflow (Gather → Draft → Review). Runs 6. Slash command for Claude Code, Codex CLI, Gemini CLI.

/cs:write-a-skill <name-or-description> — Author a new agent skill with Matt Pocock's 3-phase workflow (Gather → Draft → Review). Runs 6 review-checklist items + 3 validator tools as a gate. Use when starting a new skill in this repo.

Evaluate and rank agent results by metric or LLM judge for an AgentHub session. Use when the user runs /hub:eval or asks to score, compare, or pick a winner among completed AgentHub agents.

93 agent-native orchestrators for Claude Code, Codex CLI, and Gemini CLI — multi-skill AI agents across engineering, product, marketing, and more.

Use proactively whenever LLM API costs come up -- or should. Triggers include: 'my AI costs are too high', 'optimize token usage', 'which model should I use', 'LLM spend is out of control', 'implement prompt caching', 'we're about to launch an AI feature', 'build me an AI endpoint'. Don't wait for an explicit cost complaint -- if someone is building an AI feature, designing an LLM endpoint, or choosing between models, cost architecture belongs in the conversation. Apply immediately when any of t

Discover, find, compare, audit, repair, adapt, and design repeatable AI-agent loops with explicit triggers, actions, verification, stopping conditions, guardrails, and handoffs. Use when a user asks to analyze a codebase for potential loops, mine coding-thread history for work done more than once, turn repeated engineering work into a loop, find or recommend a published loop, create a recurring agent workflow or automation cadence, turn an outcome into a bounded copy-ready loop, or review an exi

Design and ship production-ready MCP (Model Context Protocol) servers from OpenAPI contracts instead of hand-written tool wrappers. Python and TypeScript support, schema validation, safe evolution. Use when exposing an existing API as an MCP server, building tool integrations for Claude or Codex or Cursor, or scaffolding an MCP project from scratch.

Turns marketing prompts into tested, versioned production assets: A/B prompt evaluation against structured test cases, immutable prompt version history with diffs, ready-to-use marketing prompt templates (ad copy, email campaigns, social posts, landing pages, SEO meta), and an LLM-governance playbook for marketing teams (claim discipline, disclosure rules, human-review gates). Use when a marketing team relies on AI-generated content and needs prompt quality to be measurable and safe — or when th

Use when managing prompts in production at scale: versioning prompts, running A/B tests on prompts, building prompt registries, preventing prompt regressions, or creating eval pipelines for production AI features. Triggers: 'manage prompts in production', 'prompt versioning', 'prompt regression', 'prompt A/B test', 'prompt registry', 'eval pipeline'. NOT for writing or improving individual prompts (use senior-prompt-engineer). NOT for RAG pipeline design (use rag-architect). NOT for LLM cost red

Use when the user asks to design a RAG pipeline, choose a chunking strategy or embedding model, pick a vector database, or evaluate retrieval quality (precision@k, recall@k, NDCG). Examples: 'design a RAG system for our docs', 'what chunk size should I use for this corpus', 'evaluate my retriever against ground truth'. NOT for general LLM cost tuning (use llm-cost-optimizer) or agent loops over retrieval (use agenthub).

Persona-Based Agents — agent-native AI orchestrator for Personas. Works with Claude Code, Codex CLI, Gemini CLI, and OpenClaw.

One-shot lifecycle command that chains init → baseline → spawn → eval → merge in a single invocation. Use when the user runs /hub:run or asks to execute a full AgentHub competition end-to-end.

One paragraph describing what this agent does, who it's for, and when to activate it.. Agent-native orchestrator for Claude Code, Codex, Gemini CLI.

Ingest a source file from raw/ into the LLM Wiki — read, discuss, write summary page, update cross-references across 5-15 pages, regenerate index, append to log. Usage /wiki-ingest <path-to-source>

Ingest a source file from raw/ into the LLM Wiki — read, discuss, write summary page, update cross-references across 5-15 pages, regenerate index, append to log. Usage /wiki-ingest <path-to-source>

Ingest a source file from raw/ into the LLM Wiki — read, discuss, write summary page, update cross-references across 5-15 pages, regenerate index. Slash command for Claude Code, Codex CLI, Gemini CLI.

Dispatched sub-agent that ingests a new source into an LLM Wiki vault. Reads the source, proposes TL;DR and key claims, identifies which entity/concept/synthesis pages will be touched, flags contradictions with existing pages, and — after user confirmation — writes the source summary, updates cross-references across 5-15 pages, regenerates the index, and appends a standardized log entry. Spawn when the user says "ingest this", "add this paper/article/book to the wiki", or drops a file into raw/.

Dispatched sub-agent that ingests a new source into an LLM Wiki vault. Reads the source, proposes TL;DR and key claims, identifies which. Agent-native orchestrator for Claude Code, Codex, Gemini CLI.

Bootstrap a fresh LLM Wiki vault with the three-layer structure, schema files, and starter templates. Usage /wiki-init <path> --topic "<topic>" [--tool all|claude-code|codex|cursor|antigravity]

Bootstrap a fresh LLM Wiki vault with the three-layer structure, schema files, and starter templates. Usage /wiki-init <path> --topic "<topic>" [--tool all|claude-code|codex|cursor|antigravity]

Bootstrap a fresh LLM Wiki vault with the three-layer structure, schema files, and starter templates. Usage /wiki-init <path> --topic '<topic>'. Slash command for Claude Code, Codex CLI, Gemini CLI.

Dispatched sub-agent that answers queries against an LLM Wiki vault. Reads index.md first, drills into 3-10 relevant pages across categories, synthesizes an answer with inline [[wikilink]] citations, and offers to file the answer back into the wiki as a new comparison or synthesis page. Spawn when the user asks a substantive question the wiki might answer, says "what does the wiki say about X", "compare A and B across my sources", or wants to explore a topic.

Dispatched sub-agent that answers queries against an LLM Wiki vault. Reads index.md first, drills into 3-10 relevant pages across categories. Agent-native orchestrator for Claude Code, Codex, Gemini CLI.

Query the LLM Wiki — reads index.md first, drills into 3-10 relevant pages, synthesizes an answer with inline [[wikilink]] citations, and offers to file the answer back as a new comparison or synthesis page. Usage /wiki-query "<question>

Query the LLM Wiki — reads index.md first, drills into 3-10 relevant pages, synthesizes an answer with inline [[wikilink]] citations, and offers to file the answer back as a new comparison or synthesis page. Usage /wiki-query "<question>

Query the LLM Wiki — reads index.md first, drills into 3-10 relevant pages, synthesizes an answer with inline [[wikilink]] citations, and offers to. Slash command for Claude Code, Codex CLI, Gemini CLI.

Manage Claude Code, Codex, and Cursor sessions for the current project.

Run AI tasks through the low-latency fast client path.

Manage Codex/Claude skills for the current project.

List and discover project tasks from:

Inspect or crawl URLs into compact AI-friendly summaries.