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agents

Shared standards and reusable skills for Claude Code, Codex CLI, and other AI coding agents.

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README

From the repo.

Agents

Shared standards and skills for AI coding agents: Claude Code, Codex CLI, and anything else that reads AGENTS.md or the SKILL.md format.

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Contents

  • AGENTS.md: project-agnostic base guidelines. Copy it into a repository and prepend the project-specific sections (structure, commands, domain notes).
  • user/AGENTS.md: user-level collaboration preferences, kept separate from the project-level guidelines.
  • skills/: cross-agent skills; each skill is a directory containing a SKILL.md plus optional resources.

Skills

Each summary is generated from the skill's own metadata. Open its SKILL.md for the complete activation description and instructions.

SkillSummary
antigravity-cliDelegate work to Antigravity CLI, inspect progress and tool failures, and continue the same conversation across follow-up tasks.
ask-to-planTurn a rough idea into clear goals, requirements, a solution, and an actionable plan through guided questions and native choices.
codex-cliReach for the Codex CLI when a task is hard enough to earn it: second-model review, bounded hand-offs, sandbox permissions, and a model and effort matched to the difficulty.
grok-cliDelegate work to Grok Build, keep its session for follow-ups, and inspect results while the supervising agent continues working.
marketing-copyWrite outbound promo copy that stays truthful, discloses only what may be public, and earns attention without hype.
product-writingWrite accurate product copy and useful technical docs.
scoped-changeHold a change to the size the request defines: no unrequested surfaces, no speculative layers, no half-applied edits.
talk-like-scarletkcWrite and translate in scarletkc's natural voice without generic AI phrasing.
ux-writingReview user-facing copy and documentation for clarity, consistency, facts that do not go stale, and no leftover intermediate state.
worktree-prOptionally run a task in its own worktree: branch from the integration branch, compare against the baseline, and prepare it for a PR.
x-contentFind worthwhile X topics and write posts that earn attention and keep readers engaged.

product-writing is a compact alternative to ux-writing for product copy and technical docs. Use one of these guides for a task. ux-writing retains the original, more detailed rules; product-writing leaves more structural and editorial choices to the task.

Install skills

Send this prompt to your coding agent:

Install skills from https://github.com/scarletkc/agents. Show me the available skills and let me choose which ones to install.

You can also use either CLI directly. Both installers let you choose individual skills. Replace codex with another supported agent, such as claude-code, when needed.

GitHub CLI

Browse the repository and install a skill for the current user:

gh skill install scarletkc/agents --agent codex --scope user

For a non-interactive installation, provide the skill name:

gh skill install scarletkc/agents <skill> --agent codex --scope user

Update installed skills with gh skill update --all.

skills CLI

Browse the repository and choose skills and agents interactively:

npx skills add scarletkc/agents -g

For a non-interactive installation, provide the skill and agent:

npx skills add scarletkc/agents --skill <skill> --agent codex -g -y

Update global skills with npx skills update -g -y.

Package a skill

Create a ZIP for a web app that accepts skill uploads:

python scripts/package_skill.py <skill>

The archive is written to dist/<skill>.zip. Its root contains SKILL.md and the skill's supporting files, ready to upload as one file. Root-level evals/ and local build artifacts are excluded.

The CLI skills bundle their shared task runtime so each skill can be installed independently. After editing scripts/agent_task_runtime.py, run python scripts/sync_agent_runtime.py to update the bundled copies. The test suite checks that those copies match the maintained source.

Feedback and contributions

Report problems or suggest improvements through GitHub Issues. Pull requests are welcome.

License

Apache-2.0. Attribution information is provided in NOTICE.

Collected info

  • 222 stars
  • 12 forks
  • Language: Python
  • Source updated: 9/21/2026

Config for your environment

Replace {MCP_ENDPOINT_URL} with this MCP’s endpoint URL (from its repo or docs above). No API key — you connect directly.

Tool

OS

Config file: ~/.cursor/mcp.json

{
  "mcpServers": {
    "mcp-server": {
      "url": "{MCP_ENDPOINT_URL}"
    }
  }
}

Paste into mcpServers in the config file. Restart Cursor after saving.

If this MCP is also published on mcpchannel.ai, you can subscribe from Browse and use the gateway config there instead.