bcos-wiki
Wiki zone manager for BCOS. Ingests URLs / local docs / inbox captures into docs/_wiki/ as schema-validated pages with banner citations, three structural shapes for source-summary, and two-tier refresh. Schema-driven, CLEAR-governed, derived-artifact. Invoke with /wiki.
technical-seo-audit
Comprehensive technical SEO audit skill that analyses crawl data to identify issues, prioritise actions by business impact, and produce a detailed report plus actionable spreadsheet. Use this skill whenever the user wants to: run a technical SEO audit, analyse a website's technical health, review crawl data from Screaming Frog or Sitebulb, crawl a site via API (Firecrawl or similar), find indexability or crawlability issues, check Core Web Vitals, audit structured data or schema markup, detect cannibalisation or thin content, review redirect chains, find orphan pages, assess site architecture, or produce a prioritised list of SEO fixes. Also trigger when the user uploads a CSV from any crawl tool and asks for analysis, mentions "technical SEO", "site audit", "crawl audit", "SEO health check", or wants to understand why pages are not ranking from a technical perspective. This skill handles everything from data ingestion through to a business-impact-prioritised action plan.
karpathy-llm-wiki
Use when building or maintaining a personal LLM-powered knowledge base. Triggers: ingesting sources into a wiki, querying wiki knowledge, linting wiki quality, 'add to wiki', 'what do I know about', or any mention of 'LLM wiki' or 'Karpathy wiki'.
praxis
Adversarial, Multi-Agent Career Knowledge Base & Resume Pipeline. Usage: /praxis (ingest), /praxis <text> (add knowledge), /praxis <url> (generate tailored resume)
AtomicMemory
You have access to persistent memory through three MCP tools: `memory_search`, `memory_ingest`, `memory_package`. Memory survives across sessions and is scoped via `user` / `agent` / `namespace` / `thread`.
Add graph-backed memory and context retrieval to agent workflows
Use Cognee to ingest project knowledge into graph and vector memory so agents can retrieve durable context across sessions and workflows.
docmancer
Search and manage documentation knowledge bases using docmancer CLI. Use when the user asks about third-party library docs, API references, vendor documentation, version-specific API behavior, GitBook or Mintlify public docs, offline or local doc search, or wants to ingest a doc URL before answering a question.
/notion-ingest â Notion Workspace Crawler
> Crawls a Notion workspace to extract business terms, metrics, product docs, > and team structure. Populates the organization knowledge system.
dbt_ingest
Map dbt `schema.yml` / `properties.yml` models and sources into KTX semantic-layer overlays and column notes. Covers `sources:` vs `models:`, column `data_tests` (not_null, unique, accepted_values, relationships), and how bundle-time writes complement manifest backfill from git sync. Load when the WorkUnit's `skillNames` includes `dbt_ingest` or when raw files are dbt YAML under `models/` / `sources/`.
wiki-manager
LLM-compiled knowledge base manager for Codex. Use it to initialize, ingest, compile, query, lint, research, and generate outputs from topic-scoped wikis. Activates when the user mentions wiki workflows, knowledge-base management, ingestion, compilation, querying, linting, research, or uses /wiki-style shorthand in a repo with .wiki/, ~/wiki/, or a configured hub path.
notebooklm-research
Full-autopilot AI research agent powered by Google NotebookLM (notebooklm-py v0.3.4). Ingests sources (URL, text, PDF, DOCX, YouTube, Google Drive), runs deep web research, asks cited questions, and generates 10 native artifact types (audio podcast, video, cinematic video, slide deck, report, quiz, flashcards, mind map, infographic, data table, study guide). Produces original content drafts via Claude, with optional publishing to social platforms via threads-viral-agent integration. Use this skill when the user mentions: NotebookLM, research with sources, create notebook, generate podcast from articles, turn research into content, trending topic research, research pipeline, source-based analysis, cited research answers, generate slides, generate quiz, make flashcards, deep web research, create infographic, compare sources, research report, study guide, source analysis, or knowledge synthesis.
Local FAISS MCP Server
Local FAISS vector database for RAG with document ingestion, semantic search, and MCP prompts.
Document Ingestion Skill
Turn external documents into structured, linkable knowledge notes with semantic deduplication.
Engram digest â ingest an existing project
Digestion turns a codebase that predates its memory graph into a first graph. It is **explicit and opt-in**: it runs only when the user asks, never automatically. One digestion is a bounded pass, audibly reported at the end â the opposite of the engram skill's silent trickle capture.
ingesting-spec
Guide for ingesting the latest OpenAI TypeSpec specification into the openai-dotnet SDK. Use this when asked to update or ingest OpenAI API specs, copy base TypeSpec files from upstream, fix client TSP compile errors, or run code generation for new API areas.
distilly
Build and use evidence-grounded local person profiles with Distilly's exact five-tool workflow. Use when a user asks to research, ingest, distill, update, correct, retrieve, or recall a real or fictional person's profile, voice, boundaries, or evidence.
rag-blueprint
NVIDIA RAG Blueprint â deploy, configure, troubleshoot, and manage. Handles any RAG action: deploy, install, start, enable, disable, toggle, change, configure, troubleshoot, debug, fix, shutdown, stop, or tear down any RAG feature or service (VLM, guardrails, query rewriting, models, search, ingestion, observability, summarization, and more).
Implementation Plan Generator
> **Quick Ref:** Mode detect â ingest or analyze â interactive input â understand â size â impact â phased plan â risk â test â rollback â write â proceed.
cassette-gateway-video-edit
Add Hermes gateway media ingestion, background notification, and delivery behavior to the canonical cassette-video-edit MCP workflow.
brain-ingest
Ingest a new source into the wiki. Reads the source, summarizes it, creates a wiki/sources/ page, updates affected topic and entity pages, flags contradictions, and logs the activity. Trigger phrases: /brain-ingest, ingest [file or URL], add this source, read and file this, process this article/paper/note.
sigma_ingest
Extract durable ktx wiki knowledge from staged Sigma data model specs and workbook summaries. Load for WorkUnits with unitKey sigma-data-models or sigma-workbooks.
Copass Remote
Knowledge graph ingestion, entity search, ontology analysis, and CoPass scoring.
ingest-codebase
Guide the creation of a high-quality mental model for a codebase. Use when starting a new mental model, when the model feels incomplete or unclear, or when onboarding to understand a system's architecture. Produces domains, capabilities, aspects, and architectural decisions.
llmwiki-ingest
Ingest one source document (or a folder of them) into the llmwiki. Use when the user drops a new markdown file, PDF, or URL into the wiki and asks you to process it. The user will typically say "ingest this", "add this to the wiki", "process this file into the wiki", or point at a file under `raw/`.
dot-ai
Kubernetes cluster operations via dot-ai CLI - natural language cluster queries, AI-powered deployment recommendations, issue troubleshooting and remediation, Day 2 operations (scale, update, rollback, delete), resources, namespaces, events, logs, organizational knowledge base (ingest, search, query), organizational patterns/policies/capabilities management, project scaffolding and repo audit, and session history and visualization. Run `dot-ai --help` for commands.
Datris
AI Agent-Native Data Platform — ingest, validate, transform, query, and search data.
Terraform Ingest MCP
Ingest and analyze Terraform modules from multiple repositories for AI RAG systems
swarmvault
Operate SwarmVault knowledge bases from the CLI: initialize vaults, shape swarmvault.schema.md, ingest sources, compile/query/lint/watch/hook, and expose the vault over MCP when agents need durable markdown, graph, and search artifacts on disk.