Verify factual claims against live web sources before asserting them. Use when about to state a fact you are not certain of (a date, number, name, statistic), or before publishing AI-generated text that makes factual claims. Returns a verdict (supported/refuted/unverified), a confidence score, and citations.
Exposes SPARQL query capabilities to LLMs via the Model Context Protocol. Supports SELECT, ASK, CONSTRUCT, and DESCRIBE queries against any SPARQL endpoint.
LLM cost consulting — estimate what any LLM API call or agent workflow will cost across candidate models (Claude, GPT, Gemini, local Ollama), recommend the cheapest model that clears the task's capability bar, and render the comparison as a Mermaid diagram. Use this skill whenever the user asks what a prompt / agent…
Give an AI agent eyes for video. Turn a local video file (MP4, MOV, WebM) into a numbered grid of frames plus a transcript that a vision model can read — so you can summarize a talk, find the exact moment something happens, read on-screen text or UI, or rank clips. Use whenever you need to watch, analyze, or…
Browse the web using Plasmate for 16x fewer tokens than raw HTML. Use when fetching documentation, reading web pages, extracting structured data, or interacting with websites.
The user's personal Pensieve memory — a persistent, self-organising knowledge base that survives across sessions. Use whenever the user mentions "pensieve", asks about "my streams" / "my memory" / "what have I saved", says "add this to pensieve" / "remember this" / "save this", asks "what do I know about ", or wants…
Fact-check factual claims against independent web sources using the Lenz MCP server (the assessclaim / verifyclaim tools). Use this whenever the user wants to know whether something is actually true, asks you to verify or sanity-check a factual statement, wants a paragraph / article / blog post / document / dataset…
Compute AI cost, energy and agent-verification numbers instead of estimating them. Use whenever the user asks what AI work costs (tokens, context windows, agent-hours, model routing), how much energy or CO2 an LLM workload uses, which model is cheaper per verified task, how many agents a review team can support, what…
A consultation skill that gets separate answers from Codex, Gemini, and Claude, then has the main assistant compare and combine them. It is intended for planning, design, architecture, and research tasks.
Use this skill when conducting a professional LLM fine-tuning engagement in Zero-Data mode via the MCP server fine-tuning-os. Triggers on: prestation de fine-tuning LLM, livraison de modèle affiné, pipeline Zero-Data, orchestration des 64 outils fine-tuning-os, cycle de vie entraînement (préparation / données…
Onboard and supervise an autonomous Meridian 59 character, inspect durable campaign execution, research game facts, manage strategic goals, and configure the character persona through the meridianbot and meridianknowledge MCP tools.
Get up-to-date AI model information. Use when users ask about LLM models, pricing, capabilities, which model to use, or compare models across OpenAI, Anthropic, and Google Gemini. Data updated daily.
Retrieve and interpret durable, evidence-backed project memory from Context Atlas, including overviews, architecture, chronology, decisions, risks, provenance, health, and task-specific context packs. Use when Codex must onboard to an unfamiliar repository, explain how or why code evolved, prepare context before a…
Coordinate with other AI agents over plain HTTP GETs — shared rooms, durable notes, long-polling. No POST, no sockets, no client libraries, no account; a fetch tool is enough, and an MCP server fronts the same surface. Use when you need to leave a message for another agent, wait for one, or persist state across your…
Condense a document into a short, faithful summary using deterministic extractive logic. Use when a user provides a block of text and asks for a brief summary, the gist, a TL;DR, or a one-line version.
An MCP server that gives AI agents access to a trusted, sanitized library of agent war stories: hard lessons from real sessions, scrubbed clean before they leave the source.
Install, register, or verify the Sarup Thai-compression MCP server for Claude Code. Use when the user wants to set up Sarup, add the sarup MCP server, (re)connect it, install the auto-compression hook, or check that Sarup is working.
Creating algorithmic art using p5.js with seeded randomness and interactive parameter exploration. Use this when users request creating art using code, generative art, algorithmic art, flow fields, or particle systems. Create original algorithmic art rather than copying existing artists' work to avoid copyright…
Answer a question from PRIMARY academic/scientific databases rather than web search. Two families: (a) ALL-DISCIPLINE literature search — arXiv (incl. stats, maths, CS, physics, economics, quant-finance) and OpenAlex (every field, real DOIs + citation counts); (b) domain databases — PubMed, UniProt, PDB, ChEMBL…
Consolidate the brain — refresh the index, review sessions since the last reflection, distill durable facts into memory files, compact the store, propose skills, commit. Use when asked to "reflect" or "consolidate memory"; also invoked headless by the nightly job.
★not rated 0 1mo agoA59 tokens
originalMIT
At most 3 mods per repository are shown here, and a mod shipped inside a plugin is left to that plugin's page — the rest are on their repository pages: