Tools tagged with "Github"

Routes general Convex requests to the right project skill. Use when the user asks which Convex skill to use or gives an underspecified Convex app task.

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Manage Docker containers, images, volumes, networks, and Compose stacks — lifecycle ops, debugging, cleanup, and Dockerfile optimization.

Open a PR on the active instance's lab repo (microsoft/mcs-labs by default) that adds a NEW lab built by mcs-lab-builder. Stages the assembled labs/<slug/README

Use to select models to run locally with llama.cpp and GGUF on CPU, Mac Metal, CUDA, or ROCm. Covers finding GGUFs, quant selection, running servers, exact GGUF

Submit compact MGnify API requests for microbiome studies, samples, and biome metadata. Use when a user wants concise MGnify summaries

Granola archive: search, sync freshness, notes, transcripts, panels, SQL counts, and Graincrawl repo work.

Replaces ordinary greetings with nautical ones.

Apple Reminders via remindctl: add, list, complete.

How to coordinate with squads on different machines using git as transport

Train and fine-tune transformer language models using TRL (Transformers Reinforcement Learning). Supports SFT, DPO, GRPO, KTO, RLOO and Reward Model training vi

Connects Render services over the private network—internal DNS, service discovery, and cross-service communication. Use when the user needs to wire services tog

Apply ClawHub-specific Convex conventions and route to the right managed Convex skill. Use for any change under convex/, Convex commands or deployment targeting

Fixed-format templates for Slack alerts, supplier emails, and escalations. Load this whenever the task is "notify", "alert", "email", or "tell ops".

Jailbreak LLMs: Parseltongue, GODMODE, ULTRAPLINIAN.

How to write comprehensive architectural proposals that drive alignment before code is written

Vercel Routing Middleware guidance — request interception before cache, rewrites, redirects, personalization. Works with any framework. Supports Edge, Node.js,

gog CLI: safe Google Workspace automation, JSON, auth, scoped reads/writes.

Where diamonds spawn in Minecraft 1.20.

Run 150+ AI apps via inference.sh CLI (infsh) — image generation, video creation, LLMs, search, 3D, social automation. Uses the terminal tool. Triggers: inferen

Technical guide for creating a new Paperclip agent adapter. Use when building a new adapter package, adding support for a new AI coding tool (e.g. a new CLI age

Planning skill for building customer service and support systems. Qualifies the developer's needs across the support ladder (self-service → AI agents → contact

How to produce a demand forecast for a SKU, and when to delegate that to a subagent vs. compute it yourself. Load this for any task involving "forecast", "how m

YouTube transcripts to summaries, threads, blogs.

Semver versioning rules for Squad SDK and CLI — prevents prerelease version incidents

Run or plan targeted DNA panel variant workflows that use UMIs, duplex consensus reads, molecular barcodes, low-frequency calling, target coverage, and panel-sp

Guide a workshop attendee through committing their starter-agent decomposition and opening a PR with their solution + workshop feedback. Invoke when the user sa

Host modded Minecraft servers (CurseForge, Modrinth).

Makes AI-generated content sound genuinely human — not just cleaned up, but alive. Use when content feels robotic, uses too many AI clichés, lacks personality,

Build custom functionality that merchants can install at defined points in the checkout flow, including product information, shipping, payment, order summary, a

Run nf-core bioinformatics pipelines (rnaseq, sarek, atacseq) on sequencing data. Use when analyzing RNA-seq, WGS/WES, or ATAC-seq data—either local FASTQs or p

Configure, extend, or contribute to Hermes Agent.

Find and resume interrupted Copilot CLI sessions using sessionstore queries

Add or multiply numbers.

How to decide whether and how much to reorder a SKU. Load this whenever a task involves reorder recommendations, purchase orders, or "should we restock" questio

GPU-accelerated data curation for LLM training. Supports text/image/video/audio. Features fuzzy deduplication (16× faster), quality filtering (30+ heuristics),