Results for “custom-gpt”

Generate GPT API request payloads. Use when building chat completions, embeddings, fine-tuning data, or estimating API costs.

Bootstrap a custom carrier board by forking carrier files and scaffolding a DT overlay from the reference devkit.

Use when the user asks Codex to directly generate images with gpt-image-2 using inherited OpenAI/Codex-compatible environment credentials or local GPT_IMAGE2_* overrides, including text-to-image, reference-image guided generation, ratios, resolution, quality, variants, and saved local image files; run the bundled Node CLI and keep URL/sk configuration private.

Turn a private skill you built for your own stack into a clean public version anyone can install and customize, while preserving your personal copy untouched. Strips the company-specific wiring (connectors, CRM field names, proprietary scores, IDs, tuned thresholds, internal vocabulary) and abstracts it into a documented "Customize this for yourself" setup block, keeping the method intact. Trigger on "publish this skill", "make a public version of", "genericize this skill", "share-ready version of", "turn my skill into a community version", "add this to the Built GTM Skills page".

Quantize large language models to 4-bit with minimal accuracy loss using GPTQ, enabling deployment of 70B+ models on consumer GPUs with 4× memory reduction and 3-4× faster inference.

Instruction Tuning with GPT-4

Use for designing, auditing, or refactoring a GitHub Copilot customization system in Visual Studio Code across instructions, prompt files, Agent Skills, custom agents, hooks, MCP servers, and plugins. Do not use merely to author one already-selected artifact or configure unrelated VS Code settings.

Comprehensive guide to gpt. Master the concepts, implementation, best practices, and real-world applications of gpt in professional environments.

Privacy Policy Generator

Provides GKE golden path configuration defaults, production readiness checklists, and cluster default patterns for designing and verifying GKE clusters.

Create concise tldr summaries for GitHub Copilot customization files, MCP server documentation, or Copilot documentation from URLs or queries.

Creates GKE clusters with golden path Autopilot defaults, supporting Standard and GPU workloads. Guides through project, region, and networking inputs, then provisions and verifies cluster settings.

Suggest relevant GitHub Copilot Custom Agents from the awesome-copilot repository based on current repository context and chat history, avoiding duplicates and identifying outdated agents.

Generates kernel-DT overlay fragments to enable 25G/10G/1G MGBE QSFP interfaces on Jetson Thor, verifying pinmux and integrating with the BSP customization workflow.

Configures GKE autoscaling with HPA, VPA, and Node Auto-Provisioning using golden path defaults for cost optimization.

Plans, configures, and manages GKE networking including private clusters, VPC-native configurations, Gateway API, DNS, ingress/egress, Dataplane V2, and IP planning.

Educational GPT implementation in ~300 lines. Reproduces GPT-2 (124M) on OpenWebText. Clean, hackable code for learning transformers. By Andrej Karpathy. Perfect for understanding GPT architecture from scratch. Train on Shakespeare (CPU) or OpenWebText (multi-GPU).

Educational GPT implementation in ~300 lines. Reproduces GPT-2 (124M) on OpenWebText. Clean, hackable code for learning transformers. By Andrej Karpathy. Perfect for understanding GPT architecture from scratch. Train on Shakespeare (CPU) or OpenWebText (multi-GPU).

Initialize a Git repository with an initial commit

Use only when the user explicitly asks to stage, commit, push, and open a GitHub pull request in one flow using the GitHub CLI (`gh`).

Configure repository-specific guidance for GitHub Copilot by creating and structuring .github/copilot-instructions.md files.

Developing custom GitHub Actions (JavaScript, TypeScript, Docker, Composite). Use this skill when the user asks to 'create a GitHub Action', 'build a custom action', 'publish action to marketplace', 'write action.yml', or 'develop reusable action'.

Generates and edits images using GPT Image 2 across three modes: direct generation via OpenAI-compatible API, prompt engineering for host-native image tools, or pure prompt advisory. Includes 80+ structured templates for posters, UI mockups, product visuals, maps, slides, and more.

Manages Google Kubernetes Engine clusters via gcloud CLI, covering cluster discovery, node pool management, workload analysis, autopilot configuration, and upgrade planning.

Create and maintain GitHub Copilot custom agents in Visual Studio Code with defined roles, tool restrictions, model selection, subagent permissions, and handoffs.

Create or inspect runtime-adaptive isolated Git workspaces with explicit ownership and delivery routing

Use after the user has authorized GPT Pro help; manage a prompt-plus-sources workspace, route through ChatGPT Projects when available, and audit returned reasoning.

Configure Gemini and Codex CLI tools with Cloudflare AI Gateway endpoints and MCP servers.

Gemini CLI for one-shot Q&A, summaries, and generation.

Writes Built GTM Playbooks for Heath Barnett: problem-driven, step-by-step guides in his voice. The format is the problem (costed), why it matters, the tools and stack, the step-by-step anyone can follow, the receipt, and steal this. Trigger on "write a playbook", "how-to on", "step by step guide for", "turn this into a playbook", or any request for an actionable build guide. Will not draft without the specific tools, steps, and receipt. Asks first.

GPG (GNU Privacy Guard) encryption and signing reference. Covers key generation (Ed25519/RSA), export/import, keyservers, file encryption (symmetric + asymmetric), git commit signing, detached signatures, gpg-agent caching, SSH via GPG, and pass password manager.

Codex Pet generator on RunComfy. Build a Codex-compatible Codex Pet spritesheet.webp + pet.json from a single reference image, drop it into `${CODEX_HOME:-$HOME/.codex}/pets/<name>/` and Codex picks it up as a custom Codex Pet next to the 8 built-ins. This skill produces the exact Codex Pet atlas Codex expects (1536x1872 PNG/WebP, 8 cols x 9 rows, 192x208 cells, 9 animation states — idle, running-right, running-left, waving, jumping, failed, waiting, running, review). Calls OpenAI GPT Image 2 edit ONCE via the local RunComfy CLI as `runcomfy run openai/gpt-image-2/edit` to produce a canonical Codex Pet pose, then assembles all 9 animation rows programmatically with ImageMagick micro-transforms — no Codex Pro, no `$imagegen`, no OPENAI_API_KEY required, only RUNCOMFY_TOKEN. Triggers on "codex pet", "create codex pet", "make codex pet", "hatch codex pet", "/hatch image", "desktop pet codex", "codex pets", "spritesheet.webp", or any explicit ask to build a custom pet for OpenAI Codex.

Train and experiment with a minimal GPT implementation in ~300 lines of PyTorch, from character-level Shakespeare to GPT-2 scale.