embeddings skills

plastic-labs/honcho

Skill Claude CodeCodex

Integrate Honcho memory into existing Python or TypeScript codebases. Use when adding Honcho SDK, setting up peers, configuring sessions, and accessing Honcho's representation.

plastic-labs/honcho

Skill Claude CodeCodex

Concepts and strategy for using a connected Honcho as persistent memory of the user — the recall/record loop and session and peer design. Start here to understand how Honcho memory works, then connect — via a first-class integration for your environment if one exists (preferred), or raw MCP tools (covered here) or the…

plastic-labs/honcho

Skill Claude CodeCodex

Build, launch, and drive a local Honcho stack to verify a change at its runtime surface (the /v3 HTTP API and the deriver queue). Use when verifying a diff or confirming a change works in the running app.

Marker-Inc-Korea/AutoRAG

Skill Claude CodeCodex

Configure AutoRAG for first use or repair its single-agent model, approved document roots, retrieval indexes, datasource skills, and health checks without exposing credentials.

Marker-Inc-Korea/AutoRAG

Skill Claude CodeCodex

Use an already configured AutoRAG librarian agent to search, summarize, compare, and answer questions from local document collections. Use autorag-setup for configuration or indexing changes.

giancarloerra/SocratiCode

Skill Claude CodeCodex

Explore and understand codebases using SocratiCode semantic search, dependency graphs, and context artifacts. Use when exploring code, understanding architecture, finding functions/types, analysing dependencies, searching database schemas or API specs, or when socraticode/codebasesearch tools are available. Activates…

giancarloerra/SocratiCode

Skill Claude CodeCodex

Set up, index, and manage SocratiCode codebase indexing. Use when the user wants to index a project, check infrastructure health, start/stop file watching, configure context artifacts, troubleshoot indexing issues, manage the code graph, or any SocratiCode administrative task. Activates when the user mentions…

superlinked/sie

Skill Claude CodeCodex

Extract people, organizations, dates, amounts, or custom labels from a document through the connected Superlinked MCP edge, returning a compact table instead of reading the full document into context. Use when the user asks to list, extract, or tabulate entities from a file.

superlinked/sie

Skill Claude CodeCodex

Convert a PDF, scan, image of a page, or office file to clean markdown through the connected Superlinked MCP edge, so the source document is not read into model context directly. Use when the user asks to read, parse, OCR, extract from, summarize, or answer questions about a document.

superlinked/sie

Skill Claude CodeCodex

Redact personal data from a document through the connected Superlinked MCP edge before working with the content. Use when the user asks to redact, anonymize, scrub, de-identify, or remove PII/sensitive data from a document.

agentset-ai/agentset

Skill Claude CodeCodex

Fix accessibility issues.

agentset-ai/agentset

Skill Claude CodeCodex

Ship correct, complete metadata.

agentset-ai/agentset

Skill Claude CodeCodex

Create beautiful, responsive HTML emails using React components with React Email. Build transactional emails with modern components, support internationalization, and integrate with email service providers like Resend. Use when creating welcome emails, password resets, notifications, order confirmations, or any HTML…

NVIDIA-NeMo/Nemotron

Skill Claude CodeCodex

Use when planning, debugging, tuning, evaluating, exporting, or deploying public Nemotron embed/rerank retrieval recipes.

NeoLi00/memX

Skill Claude CodeCodex

Use when an agent needs to recall, save, inspect, or audit memX memories through the bundled MCP tools.

scarletkc/vexor

Skill Claude CodeCodex

Semantic file discovery via vexor. Use whenever locating where something is implemented/loaded/defined in a medium or large repo, or when the file location is unclear. Prefer this over manual browsing.

codecoradev/uteke

Skill Claude CodeCodex

Persistent memory engine for AI agents via the uteke CLI — remember, recall, search, forget with semantic + FTS5 hybrid search, documents, knowledge graph, rooms, tiered memory, and multi-agent namespaces.

qdrant/skills

Skill Claude CodeCodex

Qdrant provides client SDKs for various programming languages, allowing easy integration with Qdrant deployments.

qdrant/skills

Skill Claude CodeCodex

Constructing prefetch queries for hybrid retrieval, including sparse/dense and multi-field setups, and choosing a sparse embedding model. Use when someone asks 'dense and sparse in one search?', 'how to combine multiple fields for retrieval?', 'payloads or sparse vectors for lexical?', 'which sparse embedding model to…

qdrant/skills

Skill Claude CodeCodex

Expanding the candidate pool via relevance feedback, as an alternative to reranking when a dense retriever is too weak. Use when someone asks about 'Qdrant's Relevance Feedback API', 'improving dense search relevance/recall', 'how to discover/get more relevant results from vector search', 'cheaper/better alternative…

yoloshii/ClawMem

Skill Claude CodeCodex

ClawMem operational reference for agents at query time — the 3-rule escalation gate, MCP tool routing, the 4 query-optimization levers, pipeline behavior (query vs intentsearch), composite scoring, and memory lifecycle (pin/snooze/forget). Use when tuning retrieval, troubleshooting recall quality, or any ClawMem…

Helweg/open-codebase-index

Skill Claude CodeCodex

Semantic code and documentation search by meaning. Use codebasepeek to find WHERE code is (saves tokens), codebasesearch to see actual code. For exact identifiers, use grep instead. Search local codebase before using websearch for code/library/API/example questions.

Helweg/open-codebase-index

Skill Claude CodeCodex

Preferred local codebase-understanding workflow for Pi and Codex. Start with codebasecontext before shell search or broad reads, then use specialized semantic and graph tools.

zilliztech/mfs

Skill Claude CodeCodex

Answer a broad, open-ended, or multi-part question by iteratively searching MFS-indexed sources, following up on gaps, and synthesizing a cited report — the same "reason and search over private data" job zilliztech/deep-searcher does, but as a skill on top of mfs-find instead of a standalone framework. Use when the…