claudecodex

data-and-ai-tools

Design data, retrieval, AI runtime, model tooling and agent operations.

95 on GitHubby Legion Code Inc.v3.0.1AGPL-3.0-or-laterupdated 29 days agoProductivity
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Plugin data-and-ai-tools from marketplace wasp-nest in legioncodeinc/vibe-coding-tools. Commands read from the repo's manifest — 29 days ago.

What it installs

Skills (15)

  • ai-coding-tools-stinger

    Choose, configure or troubleshoot AI coding tools, and write bounded task briefs. Use for tool comparison, prompt context, task scope, acceptance, ownership and verification.

  • ai-tools-platform-stinger

    Choose AI providers, gateways and local models. Use for AI stack setup, retry and spend budgets, feature margin or local hardware fit. Read guides/ for the decision path.

  • bifrost-stinger

    Bifrost AI gateway specialist: maximhq/bifrost architecture, admin and inference API surface, virtual keys, semantic cache, .so plugins, tags, fork freeze and upgrade policy. Use for any Bifrost work.

  • cursor-ide-stinger

    Configure Cursor agents, rules, hooks, MCP, and SDK automation. Use for Cursor integration or IDE productivity issues. Read guides/ for the decision path.

  • db-stinger

    Design PostgreSQL data layers. Use for schema, indexes, migrations, query performance, ORM choice, or serverless databases. Read guides/ for the decision path.

  • deeplake-dataset-stinger

    Design and maintain Wasp Nestmind Deep Lake datasets. Use for ColumnDef schemas, healing, versioned writes, or hybrid indexing. Read guides/ for the decision path.

  • embeddings-runtime-stinger

    Picks and runs embedding models: hosted (OpenAI, Cohere, Voyage) vs self-hosted, cost tradeoffs, batching, caching. Use when choosing, swapping, or debugging an embedding model.

  • mind-stinger

    Reviews, audits, and extends the AI cognitive layer: coach routing, prompt cascade, RAG, three-tier memory, observability, evaluation. Use when reviewing AI code or tuning retrieval.

  • neon-drizzle-stinger

    Neon Postgres and Drizzle ORM on SvelteKit/Vercel: connections, schema, migrations, branching, query patterns, pgvector, RLS, and migrating off Supabase. Use for any Neon or Drizzle task.

  • retrieval-stinger

    Designs and audits retrieval: full-text search, pgvector recall, hybrid RRF fusion, reranking, chunking, recall quality eval. Use when tuning recall or a search query misses.

  • source-command-build-rag-feature

    Build a bounded RAG feature against an accepted corpus, access contract, and measured retrieval and answer evaluation.

  • source-command-design-data

    Design a source-grounded data model, access boundaries, indexes and a migration proposal without executing database changes.

  • source-command-tars

    Make this Claude Code desktop session TARS, the manager. Spawns chips for what you ask, manages every session to done, fields their questions, uses CASE for proportion and scoped decisions, and KIPP as the Feature Desk, runs a real 10-minute tick and a 1-minute CI watch. Does no work itself. Trigger

  • tars-stinger

    Manage Claude Code Desktop sessions. TARS coordinates, CASE advises and breaks scoped ties, and KIPP runs feature intake. Does no implementation. Read README.md for the guide map.

  • vector-store-stinger

    Design vector storage. Use for pgvector schemas, HNSW/IVFFlat, hybrid indexes, migrations, or storage choice. Read guides/ for the decision path.

Slash commands (3)

  • /data-and-ai-tools:build-rag-feature

    Build a bounded RAG feature against an accepted corpus, access contract, and measured retrieval and answer evaluation.

  • /data-and-ai-tools:design-data

    Design a source-grounded data model, access boundaries, indexes and a migration proposal without executing database changes.

  • /data-and-ai-tools:tars

    Make this Claude Code desktop session TARS, the manager. Spawns chips for what you ask, manages every session to done, fields their questions, uses CASE for proportion and scoped decisions, and KIPP as the Feature Desk, runs a real 10-minute tick and a 1-minute CI watch. Does no work itself. Trigger

Subagents (12)

  • ai-coding-tools-wasp-drone

    The vibe-coder's AI coding tool advisor and bounded coding task brief writer, recommends, compares, and configures Cursor, Claude Code, Aider, Cline, Windsurf (Cascade), Continue.dev, Replit Agent, Devin 2.0, and Bolt across four autonomy tiers. Invoke when the user says \"which AI coding tool shoul

  • ai-tools-platform-wasp-drone

    The vibe coder's AI toolbox specialist: AI gateways (Portkey, OpenRouter), cloud providers (AWS Bedrock, Vertex AI, Azure OpenAI), frontier model selection (Claude, GPT, Gemini), cheap-fallback routes (Haiku, Mini, Flash), local LLMs (Ollama, LM Studio), GPU cloud (Runpod, Modal, Together, Fireworks

  • bifrost-wasp-drone

    Bifrost gateway implementation drone for maximhq/bifrost trees - freeze and upgrade execution, admin API changes, plugin wiring, semantic cache config, contract extraction from docs/openapi. Use for any Bifrost coding task.

  • cursor-ide-wasp-drone

    Cursor IDE platform specialist: project rules (.cursorrules migration, .cursor/rules/*.mdc authoring), MCP server registration and tool authoring, @cursor/sdk API for programmatic agent automation, custom modes, Agents Window and Cloud Agents, and Cursor productivity patterns. Invoke when the user s

  • db-wasp-drone

    PostgreSQL data architecture specialist: schema design, indexing strategy, zero-downtime migrations, ORM choice (Drizzle / Prisma / raw SQL), and serverless DB platform selection (Supabase / Neon / Turso / PlanetScale / CockroachDB / Tiger Data). Invoke when the user says \"design this schema\", \"r

  • deeplake-dataset-wasp-drone

    Deep Lake data architecture specialist for Hivemind - the 7-table ColumnDef schema, `USING deeplake` DDL, FLOAT4[768] embeddings, additive schema healing, append-only version-bump writes, indexing (deeplake_index BM25 / `<#>` vector / hybrid), DeeplakeApi querying, SQL guards, dataset versioning, an

  • embeddings-runtime-wasp-drone

    The embedding model selection and runtime specialist. Covers choosing and calling a hosted provider (OpenAI text-embedding-3, Cohere embed-v3/v4, Voyage AI) or running a self-hosted local model (transformers.js), dimension and cost tradeoffs, batching, caching to avoid re-embedding identical text, a

  • mind-wasp-drone

    Cognitive-layer specialist for the deploying product, covering coach/agent routing, prompt cascade, RAG/GraphRAG, three-tier memory, observability, evaluation, multimodal pipeline, orchestration, matching, and onboarding as stack-neutral architecture, plus SvelteKit +server.ts streaming LLM response

  • neon-drizzle-wasp-drone

    Neon Postgres + Drizzle ORM specialist for the SvelteKit/Vercel stack migrating off Supabase. Invoke for \"set up Neon\", \"pick a connection driver for Vercel\", \"review this Drizzle schema/migration\", \"is push safe here?\", \"wire pgvector for RAG\", \"do we need RLS without Supabase?\", \"migr

  • retrieval-wasp-drone

    Retrieval specialist for an app - owns Postgres full-text search (tsvector, websearch_to_tsquery, ts_rank), pgvector semantic recall, Reciprocal Rank Fusion hybrid search, optional cross-encoder reranking, chunking strategy, and recall/precision evaluation with golden query sets. Neon Postgres plus

  • tars-wasp-drone

    TARS, the session manager for the Claude Code desktop app: turns the owner's asks into chips, manages every session to merged and deployed, fields their questions, makes manager-level decisions, uses CASE for proportion and scoped decisions, and KIPP as the Feature Desk, runs a real 10-minute tick a

  • vector-store-wasp-drone

    Vector and embedding storage specialist - schema and column design, index selection (HNSW vs IVFFlat, distance operators), hybrid lexical+vector search at the storage layer, migrations, and dataset versioning. Neon Postgres plus pgvector plus Drizzle is the primary option for this stack; Deep Lake a

View source on GitHub

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