Agent skill

Kouchou AI Development

by digitaldemocracy2030 in digitaldemocracy2030/kouchou-ai

Local development setup, build and lint commands, environment configuration, and deployment helpers for the kouchou-ai repo.

AGPL-3.0Auto-check: notesDevelopment

Install Kouchou AI Development

skills CLI
$ npx skills add digitaldemocracy2030/kouchou-ai --skill kouchou-ai-development -a claude-code

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

GitHub CLI
$ gh skill install digitaldemocracy2030/kouchou-ai kouchou-ai-development --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/digitaldemocracy2030/kouchou-ai.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/kouchou-ai-development .claude/skills/kouchou-ai-development && 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/

Facts

Skill name
kouchou-ai-development
GitHub stars
171
Token cost
~540 tokens
SKILL.md length
248 words
Files
1
Skills in repo
3
Repo updated
First seen
Licence
AGPL-3.0

At a glance

Local development setup, build and lint commands, environment configuration, and deployment helpers for the kouchou-ai repo.

  • Starting services
  • SKILL.md covers Overview, Local development setup, Build and static exports and Linting and formatting, plus 6 more sections
  • Calls make, pnpm and docker
  • Building images

What it does

Kouchou AI Development is an agent skill from digitaldemocracy2030/kouchou-ai. Local development setup, build and lint commands, environment configuration, and deployment helpers for the kouchou-ai repo. Use when starting services, building images, running lint/format, or working with Azure/static builds.

Its SKILL.md is about 540 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Development, covering Linting and formatting and Deployment. It works with Microsoft Azure, Docker and pnpm. The repository describes itself as: 広聴AI (デジタル民主主義2030ブロードリスニング). The licence is AGPL-3.0.

When your agent uses it

  • Starting services
  • Building images
  • Running lint/format
  • Working with Azure/static builds

Example prompts

  • “/kouchou-ai-development”

Requirements

  • Docker

What it can do on your machine

Read from SKILL.md and the folder at commit c297bc9. 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

    Shell commands in SKILL.md call:

    • make
    • pnpm
    • docker

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md. Its commands use pnpm and 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

Kouchou AI Development loads about 540 tokens when it runs. Until then it costs about 63 tokens; SKILL.md has 248 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~63
When it runs · the whole SKILL.md, loaded when a task matches
~540

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: notes

The automated check noted patterns worth knowing about, such as sudo or a known installer.

  • NoteMentions a .env fileSKILL.md:12
    - Copy `.env.example` to `.env` before starting services.
  • NoteMentions a .env fileSKILL.md:33
    - Keep `.env` files scoped per service directory and reference `.env.example` for defaults.

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); files beside SKILL.md are not scanned.

SKILL.md

The full file from digitaldemocracy2030/kouchou-ai at commit c297bc9, republished under its AGPL-3.0 licence (© digitaldemocracy2030). 248 words, ~540 tokens.

Download SKILL.mdSave it as .claude/skills/kouchou-ai-development/SKILL.md (or your agent's skills folder).
name
kouchou-ai-development
description
Local development setup, build and lint commands, environment configuration, and deployment helpers for the kouchou-ai repo. Use when starting services, building images, running lint/format, or working with Azure/static builds.

Kouchou-AI Development

Overview

Use this skill for setup, build, and operational commands.

Local development setup

  • Copy .env.example to .env before starting services.
  • Start all services with docker compose up.
  • Initialize frontend dependencies with make client-setup.
  • Run the public viewer, admin, and dummy server with make client-dev -j 3.

Build and static exports

  • Build all Docker images with make build.
  • Generate static exports with make client-build-static.
  • Build individual frontends with pnpm run build in apps/public-viewer/ or apps/admin/.

Linting and formatting

  • Run root lint/format with pnpm run lint and pnpm run format.
  • Run frontend linting with pnpm run lint inside each frontend app.
  • Run backend linting with rye run ruff check . inside apps/api/.

Server development

  • Run the API locally with rye run uvicorn src.main:app --reload --port 8000 in apps/api/.
  • Use make lint/check and make lint/format in apps/api/.
  • Use make lint/api-check and make lint/api-format for Docker-based linting.

Environment configuration

  • Keep .env files scoped per service directory and reference .env.example for defaults.
  • Restart and rebuild Docker images if you change environment variables that are baked at build time.

Pull Request workflow

  • Follow .github/PULL_REQUEST_TEMPLATE.md when creating a PR.

Documentation conventions

  • Add language identifiers to fenced code blocks in docs (for example, bash or text).

Azure deployment helpers

  • Use make azure-setup-all for full Azure setup.
  • Use make azure-build, make azure-push, make azure-deploy, and make azure-info for individual steps.

Local LLM notes

  • Enable Ollama with docker compose --profile ollama up -d when GPU support is available.
  • Plan for 8GB+ GPU memory for local LLM usage.

© digitaldemocracy2030, AGPL-3.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in skills/kouchou-ai-development of digitaldemocracy2030/kouchou-ai.

Open the folder on GitHubat commit c297bc9

Compare with similar skills

Kouchou AI Development 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.

Kouchou AI Development compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Kouchou AI Development this skilldigitaldemocracy2030/kouchou-ai171—~540Automated safety check: NotesAGPL-3.0
Verifygocronx-team/gocron801—~529Automated safety check: PassMIT
Azure API CenterMicrosoftDocs/Agent-Skills776—~1.4kAutomated safety check: PassCC-BY-4.0
Azure Content SafetyMicrosoftDocs/Agent-Skills776—~1.8kAutomated safety check: PassCC-BY-4.0
Aspiremicrosoft/aspire.dev1954 repos~1.1kAutomated safety check: PassMIT
Upgrading Mwaa Environmentsaws/agent-toolkit-for-aws2.8k—~7.3kAutomated safety check: PassApache-2.0

Similar skills

  • Verify

    gocronx-team/gocron

    Reproduce the complete gocron CI pipeline locally and report every result.

    801 GitHub stars~529 tokensUpdated yesterday
    DevelopmentAuto-check passed
  • Azure API Center

    MicrosoftDocs/Agent-Skills

    Official

    Expert knowledge for Azure Api Center development including best practices, security, configuration, integrations & coding patterns, and deployment.

    776 GitHub stars~1.4k tokensUpdated 5 days ago
    DevelopmentAuto-check passed
  • Azure Content Safety

    MicrosoftDocs/Agent-Skills

    Official

    Expert knowledge for Content Safety in Foundry Control Plane development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security…

    776 GitHub stars~1.8k tokensUpdated 5 days ago
    DevelopmentAuto-check passed
  • Aspire

    microsoft/aspire.dev

    Official

    Orchestrates Aspire distributed applications using the Aspire CLI for running, debugging, and managing distributed apps.

    195 GitHub starsUsed in 4 repos~1.1k tokens
    DevOps & CloudAuto-check passed
  • Upgrading Mwaa Environments

    aws/agent-toolkit-for-aws

    Official

    Upgrades an MWAA environment to a newer Airflow version — within 2.x, within 3.x, or across the 2.x-to-3.x boundary.

    2.8k GitHub stars~7.3k tokensUpdated yesterday
    Data & AnalyticsAuto-check passed
  • DeerFlow Smoke Test

    bytedance/deer-flow

    Walks through an end-to-end smoke test of a DeerFlow deployment: pull the latest code, deploy with Docker or locally, verify services, run health checks and write a report.

    84k GitHub stars~2.5k tokensUpdated today
    Testing & QAAuto-check: notes

More from digitaldemocracy2030/kouchou-ai

  • Kouchou AI Architecture

    digitaldemocracy2030/kouchou-ai

    Project architecture, core services, key directories, data flow, and tech stack for the kouchou-ai repository.

    171 GitHub stars~720 tokensUpdated yesterday
    Auto-check passed
  • Kouchou AI Testing

    digitaldemocracy2030/kouchou-ai

    Testing commands and strategy for the kouchou-ai repo, including unit/integration tests and Playwright E2E rules.

    171 GitHub stars~355 tokensUpdated yesterday
    Auto-check passed

Questions about Kouchou AI Development

What does Kouchou AI Development do?

Local development setup, build and lint commands, environment configuration, and deployment helpers for the kouchou-ai repo. Kouchou AI Development is an agent skill from digitaldemocracy2030/kouchou-ai. Local development setup, build and lint commands, environment configuration, and deployment helpers for the kouchou-ai repo.

When should I use Kouchou AI Development?

Kouchou AI Development fits situations like: starting services; building images; running lint/format; working with Azure/static builds.

How do I install Kouchou AI Development in Claude Code?

Run `npx skills add digitaldemocracy2030/kouchou-ai --skill kouchou-ai-development -a claude-code`. Or copy the skill folder (skills/kouchou-ai-development in digitaldemocracy2030/kouchou-ai) into .claude/skills/kouchou-ai-development in your project. Claude Code loads it when a task matches its description.

How do I install Kouchou AI Development in Codex?

Run `npx skills add digitaldemocracy2030/kouchou-ai --skill kouchou-ai-development -a codex`. Or copy the skill folder (skills/kouchou-ai-development in digitaldemocracy2030/kouchou-ai) into .agents/skills/kouchou-ai-development in your project. Codex loads it when a task matches its description.

Can I use Kouchou AI Development 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 digitaldemocracy2030/kouchou-ai --skill kouchou-ai-development -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/kouchou-ai-development, .gemini/skills/kouchou-ai-development, .github/skills/kouchou-ai-development and .opencode/skills/kouchou-ai-development in your project.

What does Kouchou AI Development need to run?

Going by SKILL.md and its folder, Kouchou AI Development needs the command-line tools its instructions call (make, pnpm and docker). Our summary lists: Docker.

Does Kouchou AI Development 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 Kouchou AI Development safe to install?

Our automated static check of SKILL.md found notes only (mentions a .env file), nothing it rates as a warning. It is not a guarantee. Review the folder before installing.

What licence does Kouchou AI Development use?

Kouchou AI Development is published under the AGPL-3.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Kouchou AI Development use?

About 540 tokens (SKILL.md is roughly 2.2k 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 Kouchou AI Development?

Skills that share tags, products or a category with Kouchou AI Development: Verify (gocronx-team/gocron, 801 stars), Azure API Center (MicrosoftDocs/Agent-Skills, 776 stars), Azure Content Safety (MicrosoftDocs/Agent-Skills, 776 stars) and Aspire (microsoft/aspire.dev, 195 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Kouchou AI Development?

digitaldemocracy2030 (a GitHub organization) maintains it in digitaldemocracy2030/kouchou-ai, which has 171 GitHub stars. The repository holds 3 skills in this directory. The repository was last updated on October 10, 2026.

Source: digitaldemocracy2030/kouchou-ai on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.