Agent skill

Chatqna Build

by open-edge-platform in open-edge-platform/edge-ai-libraries

Build Chat Question and Answer Core Docker images from source using direct Docker or Docker Compose build commands (backend CPU, backend GPU, backend Ollama, and UI).

Apache-2.0Auto-check passedDevOps & Cloud

Install Chatqna Build

skills CLI

$ npx skills add open-edge-platform/edge-ai-libraries --skill chatqna-build -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI

$ gh skill install open-edge-platform/edge-ai-libraries chatqna-build --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy

$ git clone --depth 1 https://github.com/open-edge-platform/edge-ai-libraries.git skills-src && mkdir -p .claude/skills && cp -r skills-src/sample-applications/chat-question-and-answer-core/.github/skills/chatqna-build .claude/skills/chatqna-build && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Paste into Claude Code

Install the "chatqna-build" agent skill from https://github.com/open-edge-platform/edge-ai-libraries/tree/main/sample-applications/chat-question-and-answer-core/.github/skills/chatqna-build into .claude/skills/chatqna-build/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "chatqna-build", then confirm the skill loads.

Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

$skill-installer

$skill-installer install https://github.com/open-edge-platform/edge-ai-libraries/tree/main/sample-applications/chat-question-and-answer-core/.github/skills/chatqna-build

Type this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.

skills CLI

$ npx skills add open-edge-platform/edge-ai-libraries --skill chatqna-build -a codex

Project install goes to .agents/skills/; add -g for ~/.codex/skills/.

GitHub CLI

$ gh skill install open-edge-platform/edge-ai-libraries chatqna-build --agent codex

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/open-edge-platform/edge-ai-libraries.git skills-src && mkdir -p .agents/skills && cp -r skills-src/sample-applications/chat-question-and-answer-core/.github/skills/chatqna-build .agents/skills/chatqna-build && rm -rf skills-src

Use ~/.agents/skills/ instead of .agents/skills for a personal install.

Codex skills documentation · loads skills from .agents/skills/

Paste into Codex

Install the "chatqna-build" agent skill from https://github.com/open-edge-platform/edge-ai-libraries/tree/main/sample-applications/chat-question-and-answer-core/.github/skills/chatqna-build into .agents/skills/chatqna-build/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "chatqna-build", then confirm the skill loads.

Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

skills CLI

$ npx skills add open-edge-platform/edge-ai-libraries --skill chatqna-build -a cursor

Project install goes to .agents/skills/; add -g for ~/.cursor/skills/.

GitHub CLI

$ gh skill install open-edge-platform/edge-ai-libraries chatqna-build --agent cursor

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/open-edge-platform/edge-ai-libraries.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/sample-applications/chat-question-and-answer-core/.github/skills/chatqna-build .cursor/skills/chatqna-build && rm -rf skills-src

Use ~/.cursor/skills/ instead of .cursor/skills for a personal install.

Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/

Paste into Cursor

Install the "chatqna-build" agent skill from https://github.com/open-edge-platform/edge-ai-libraries/tree/main/sample-applications/chat-question-and-answer-core/.github/skills/chatqna-build into .cursor/skills/chatqna-build/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "chatqna-build", then confirm the skill loads.

Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

gemini skills install

$ gemini skills install https://github.com/open-edge-platform/edge-ai-libraries.git --path sample-applications/chat-question-and-answer-core/.github/skills/chatqna-build

--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.

skills CLI

$ npx skills add open-edge-platform/edge-ai-libraries --skill chatqna-build -a gemini-cli

Project install goes to .agents/skills/; add -g for ~/.gemini/skills/.

GitHub CLI

$ gh skill install open-edge-platform/edge-ai-libraries chatqna-build --agent gemini-cli

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/open-edge-platform/edge-ai-libraries.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/sample-applications/chat-question-and-answer-core/.github/skills/chatqna-build .gemini/skills/chatqna-build && rm -rf skills-src

Use ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.

Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/

Paste into Gemini CLI

Install the "chatqna-build" agent skill from https://github.com/open-edge-platform/edge-ai-libraries/tree/main/sample-applications/chat-question-and-answer-core/.github/skills/chatqna-build into .gemini/skills/chatqna-build/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "chatqna-build", then confirm the skill loads.

Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

GitHub CLI

$ gh skill install open-edge-platform/edge-ai-libraries chatqna-build

Installs for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).

skills CLI

$ npx skills add open-edge-platform/edge-ai-libraries --skill chatqna-build -a github-copilot

Project install goes to .agents/skills/; add -g for ~/.copilot/skills/.

Manual copy

$ git clone --depth 1 https://github.com/open-edge-platform/edge-ai-libraries.git skills-src && mkdir -p .github/skills && cp -r skills-src/sample-applications/chat-question-and-answer-core/.github/skills/chatqna-build .github/skills/chatqna-build && rm -rf skills-src

Use ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.

GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/

Paste into GitHub Copilot

Install the "chatqna-build" agent skill from https://github.com/open-edge-platform/edge-ai-libraries/tree/main/sample-applications/chat-question-and-answer-core/.github/skills/chatqna-build into .github/skills/chatqna-build/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "chatqna-build", then confirm the skill loads.

GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

skills CLI

$ npx skills add open-edge-platform/edge-ai-libraries --skill chatqna-build -a opencode

OpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.

GitHub CLI

$ gh skill install open-edge-platform/edge-ai-libraries chatqna-build --agent opencode

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/open-edge-platform/edge-ai-libraries.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/sample-applications/chat-question-and-answer-core/.github/skills/chatqna-build .opencode/skills/chatqna-build && rm -rf skills-src

Use ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.

OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/

Paste into OpenCode

Install the "chatqna-build" agent skill from https://github.com/open-edge-platform/edge-ai-libraries/tree/main/sample-applications/chat-question-and-answer-core/.github/skills/chatqna-build into .opencode/skills/chatqna-build/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "chatqna-build", then confirm the skill loads.

OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

Facts

Skill name: chatqna-build
GitHub stars: 169
Token cost: ~1.2k tokens
SKILL.md length: 360 words
Files: 5 (incl. scripts)
Skills in repo: 29
Repo updated: Oct 9, 2026
First seen: Oct 7, 2026
Licence: Apache-2.0

At a glance

Build Chat Question and Answer Core Docker images from source using direct Docker or Docker Compose build commands (backend CPU, backend GPU, backend Ollama, and UI).

Works in 3 steps: Requested runtime/backend images are… → Resulting local image tags match… → Build output and next action (deploy or…
The user says build chatqna
SKILL.md covers Environment setup (run first), Build Sources of Truth, When to Use and Build Controls, plus 4 more sections
Runs Shell scripts from its folder; calls docker and bash

What it does

Chatqna Build is an agent skill from open-edge-platform/edge-ai-libraries. Build Chat Question and Answer Core Docker images from source using direct Docker or Docker Compose build commands (backend CPU, backend GPU, backend Ollama, and UI). Use this skill when the user says "build chatqna", "rebuild images", "build from source", or "prepare images for deployment". Canonical build sources are docker/Dockerfile (OpenVINO backend), docker/Dockerfile.ollama (Ollama backend), ui/Dockerfile (UI), and docker/compose.yaml (compose build contexts and image names); Makefile is not the source of…

Its SKILL.md is about 1.2k tokens, which your agent loads only when the skill is triggered. The skill folder holds 7 other files, including scripts (for example `benchmark/benchmark.md`, `evals/evals.json` and `evals/trigger-evals.json`).

It sits in DevOps & Cloud, covering Containers and LLM inference and serving. It works with Docker and Ollama. The repository describes itself as: Libraries, microservices, tools, and other reference software, supporting development of performance-optimized Edge AI applications. The licence is Apache-2.0.

When your agent uses it

The user says build chatqna
Build from source
Prepare images for deployment

Example prompts

“build chatqna”
“rebuild images”
“build from source”
“/chatqna-build”

Requirements

A Bash shell
Docker

Workflow steps

3 steps, taken from the first numbered list in SKILL.md.

Requested runtime/backend images are built successfully.
Resulting local image tags match requested REGISTRY and tags.
Build output and next action (deploy or push) are clearly reported.

What it can do on your machine

Read from SKILL.md and the folder at commit cdf860c. It shows what the files ask for, not the result of running them.

Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
Ships 1 file in scripts/ (Shell), which the agent can run.
Shell commands in SKILL.md call:
- docker
- bash
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md. Its commands use docker, which can reach the network depending on how they are called.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Chatqna Build loads about 1.2k tokens when it runs. Until then it costs about 135 tokens; SKILL.md has 360 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it: ~135
When it runs · the whole SKILL.md, loaded when a task matches: ~1.2k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.

SKILL.md

The full file from open-edge-platform/edge-ai-libraries at commit cdf860c, republished under its Apache-2.0 licence (© open-edge-platform). 360 words, ~1,207 tokens.

Download SKILL.mdSave it as .claude/skills/chatqna-build/SKILL.md (or your agent's skills folder). This skill also uses 4 other files; get the full folder from GitHub.

name: chatqna-build
description: Build Chat Question and Answer Core Docker images from source using direct Docker or Docker Compose build commands (backend CPU, backend GPU, backend Ollama, and UI). Use this skill when the user says "build chatqna", "rebuild images", "build from source", or "prepare images for deployment". Canonical build sources are docker/Dockerfile (OpenVINO backend), docker/Dockerfile.ollama (Ollama backend), ui/Dockerfile (UI), and docker/compose.yaml (compose build contexts and image names); Makefile is not the source of truth.
license: Apache-2.0
metadata.version: 1.0.0
metadata.tags: chatqna build development docker compose

<!--
SPDX-FileCopyrightText: (C) 2026 Intel Corporation
SPDX-License-Identifier: Apache-2.0
-->

ChatQnA Build

Build Chat Question and Answer Core container images directly with Docker and Docker Compose.

Environment setup (run first)

This skill operates on real ChatQnA source files, so the ChatQnA application must be present and commands must run from the app root. Do this before any build flow, whether or not source is already in your workspace.

Run the bundled bootstrap. It searches for an existing ChatQnA checkout by walking up from the current directory and checking the enclosing git repo, then reuses it without re-cloning. Only when no checkout is found does it do a shallow, single-branch, sparse checkout of just sample-applications/chat-question-and-answer-core from main.

It prints the resolved app root on stdout:

bash

# SKILL_DIR is this skill directory. In-repo it is:
# .github/skills/chatqna-build
SKILL_DIR=".github/skills/chatqna-build"
APP_ROOT="$(bash "$SKILL_DIR/scripts/chatqna-bootstrap.sh")"
cd "$APP_ROOT"

Every command below assumes the working directory is this APP_ROOT.

To use a fork/branch or a specific clone path, override these before running the bootstrap script:

CHATQNA_REPO_URL
CHATQNA_REPO_BRANCH
CHATQNA_CLONE_DIR
CHATQNA_FORCE_CLONE (set to 1 to force clone)

Codebase root: sample-applications/chat-question-and-answer-core/

Build Sources of Truth

File	Purpose
`docker/Dockerfile`	OpenVINO backend image (CPU by default; GPU via `USE_GPU=true`)
`docker/Dockerfile.ollama`	Ollama backend image
`ui/Dockerfile`	Frontend UI image
`docker/compose.yaml`	Canonical image names, build contexts, and build args

When to Use

Build backend and UI images from source
Rebuild one runtime variant (OpenVINO CPU, OpenVINO GPU, or Ollama)
Build images with explicit tags before local deploy/publish

Show full SKILL.md (146 more words)Show less

Build Controls

Set tags and optional registry prefix in shell before building:

Var	Effect	Default
`BACKEND_TAG`	tag for backend image `${REGISTRY}chatqna:${BACKEND_TAG}`	`latest`
`UI_TAG`	tag for UI image `${REGISTRY}chatqna-ui:${UI_TAG}`	`latest`
`REGISTRY`	image prefix (for example `intel/`)	empty
`http_proxy` / `https_proxy` / `no_proxy`	forwarded into builds	inherited

Final image names match compose:

Backend OpenVINO/Ollama: ${REGISTRY}chatqna:${BACKEND_TAG}
UI: ${REGISTRY}chatqna-ui:${UI_TAG}

Typical Build Flows

bash

# 0) From sample root
cd sample-applications/chat-question-and-answer-core

# 1) Optional tags/prefix
export REGISTRY=""
export BACKEND_TAG="latest"
export UI_TAG="latest"

# 2) Build OpenVINO CPU backend image
docker build -t ${REGISTRY}chatqna:${BACKEND_TAG} -f docker/Dockerfile .

# 3) Build OpenVINO GPU backend image (same image name/tag, GPU variant)
docker build --build-arg USE_GPU=true -t ${REGISTRY}chatqna:${BACKEND_TAG} -f docker/Dockerfile .

# 4) Build Ollama backend image
docker build -t ${REGISTRY}chatqna:${BACKEND_TAG} -f docker/Dockerfile.ollama .

# 5) Build UI image
docker build -t ${REGISTRY}chatqna-ui:${UI_TAG} -f ui/Dockerfile ui/

Compose-driven alternative (build only, no start):

bash

# Build only active profile services
source scripts/setup_env.sh            # or: -d gpu / -b ollama
docker compose -f docker/compose.yaml build

Prerequisites and Gotchas

Docker engine and Docker Compose plugin must be available.
OpenVINO GPU builds require hosts and runtimes that support /dev/dri for later runtime.
source scripts/setup_env.sh is recommended before compose builds so profile/env values are aligned.
If reusing the same ${BACKEND_TAG} across variants, the latest build will overwrite that local tag.

Verify

bash

docker images | grep -E 'chatqna|chatqna-ui'
docker compose -f docker/compose.yaml config --services

Completion Criteria

Requested runtime/backend images are built successfully.
Resulting local image tags match requested REGISTRY and tags.
Build output and next action (deploy or push) are clearly reported.

Files

SKILL.md and 4 other files (scripts) in sample-applications/chat-question-and-answer-core/.github/skills/chatqna-build of open-edge-platform/edge-ai-libraries.

SKILL.md
benchmark/benchmark.md
evals/evals.json
evals/trigger-evals.json
scripts/chatqna-bootstrap.sh

Open the folder on GitHubat commit cdf860c

Compare with similar skills

Chatqna Build next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Chatqna Build compared with similar skills
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Chatqna Build this skillopen-edge-platform/edge-ai-libraries	169	—	~1.2k	Automated safety check: Pass	Apache-2.0	today
Deploynoskillish/bankmcp	277	—	~744	Automated safety check: Pass	MIT	11 days ago
Hyperloom SetupAMD-AGI/Hyperloom	218	—	~7.2k	Automated safety check: Notes	Custom licence	today
Tao Launch WorkflowNVIDIA/skills	3.5k	—	~4.5k	Automated safety check: Notes	Apache-2.0	today
Vllm Deploy Dockervllm-project/vllm-skills	103	—	~2.5k	Automated safety check: Notes	Apache-2.0	6 mo ago
GreptimeDB Dev Docker ImageGreptimeTeam/greptimedb	6.7k	—	~4k	Automated safety check: Notes	Apache-2.0	today

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Works with

Questions about Chatqna Build

What does Chatqna Build do?

Build Chat Question and Answer Core Docker images from source using direct Docker or Docker Compose build commands (backend CPU, backend GPU, backend Ollama, and UI). Chatqna Build is an agent skill from open-edge-platform/edge-ai-libraries. Build Chat Question and Answer Core Docker images from source using direct Docker or Docker Compose build commands (backend CPU, backend GPU, backend Ollama, and UI).

When should I use Chatqna Build?

Chatqna Build fits situations like: the user says build chatqna; build from source; prepare images for deployment.

How do I install Chatqna Build in Claude Code?

Run `npx skills add open-edge-platform/edge-ai-libraries --skill chatqna-build -a claude-code`. Or copy the skill folder (sample-applications/chat-question-and-answer-core/.github/skills/chatqna-build in open-edge-platform/edge-ai-libraries) into .claude/skills/chatqna-build in your project. Claude Code loads it when a task matches its description.

How do I install Chatqna Build in Codex?

Run `npx skills add open-edge-platform/edge-ai-libraries --skill chatqna-build -a codex`. Or copy the skill folder (sample-applications/chat-question-and-answer-core/.github/skills/chatqna-build in open-edge-platform/edge-ai-libraries) into .agents/skills/chatqna-build in your project. Codex loads it when a task matches its description.

Can I use Chatqna Build in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add open-edge-platform/edge-ai-libraries --skill chatqna-build -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/chatqna-build, .gemini/skills/chatqna-build, .github/skills/chatqna-build and .opencode/skills/chatqna-build in your project.

What does Chatqna Build need to run?

Going by SKILL.md and its folder, Chatqna Build needs a shell for the scripts in its folder and the command-line tools its instructions call (docker and bash). Our summary lists: A Bash shell; Docker.

Does Chatqna Build access the network?

SKILL.md contains no URLs. Its commands use docker, which can reach the network depending on how they are called. This is read from the text; nothing was executed.

Is Chatqna Build safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.

What licence does Chatqna Build use?

Chatqna Build is published under the Apache-2.0 licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Chatqna Build use?

About 1.2k tokens (SKILL.md is roughly 4.8k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Chatqna Build?

Skills that share tags, products or a category with Chatqna Build: Deploy (noskillish/bankmcp, 277 stars), Hyperloom Setup (AMD-AGI/Hyperloom, 218 stars), Tao Launch Workflow (NVIDIA/skills, 3.5k stars) and Vllm Deploy Docker (vllm-project/vllm-skills, 103 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Chatqna Build?

open-edge-platform (a GitHub organization) maintains it in open-edge-platform/edge-ai-libraries, which has 169 GitHub stars. The repository holds 29 skills in this directory. The repository was last updated on October 9, 2026.

Source: open-edge-platform/edge-ai-libraries on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.

Install Chatqna Build

Facts

At a glance

What it does

When your agent uses it

Example prompts

Requirements

Workflow steps

What it can do on your machine

Tool permissions

Runs code

Network

Credentials

Context cost

Safety

SKILL.md

ChatQnA Build

Environment setup (run first)

Build Sources of Truth

When to Use

Build Controls

Typical Build Flows

Prerequisites and Gotchas

Verify

Completion Criteria

Files

Compare with similar skills

Similar skills

More from open-edge-platform/edge-ai-libraries

Related

Questions about Chatqna Build