Agents Standards & Skills
Reuse coding-agent standards, writing guidance, and task workflows across supported assistants.
- Source repo
- scarletkc/agents
- Stars
- ★ 227
- Last updated
- 6d ago
- License
- Apache-2.0
- Primary language
- Python
- FA score
- 73/100 · Some gaps
At a glance
- How it runs
- Works with
- Universal · cross-platformCodex · Claude Code
- Cost
- Free, no paid service needed
- Setup effort
- Low · running in minutes
- You'll need
- Typical use
- A developer using both Codex CLI and Claude Code wants the assistants to follow the same baseline collaboration and coding rules.
- Not a fit if
- Teams wanting a self-contained agent runtime
- Users of assistants other than Codex CLI and Claude Code
- Teams seeking a hosted service or model API
- Source review
- 73/100 · Some gaps
What does this agent do, and when should you use it?
This repository is a collection of shared standards and reusable skills for AI coding assistants, not a standalone agent application. Its main components are a project-level AGENTS.md, a separate user/AGENTS.md for personal collaboration preferences, and a skills/ tree whose packages use the SKILL.md format. The listed skills cover planning, change scoping, product and UX writing, marketing copy, worktree-based PR preparation, and delegation to Codex CLI, Antigravity CLI, or Grok Build. Users can copy the base guidelines into a repository or install selected skills through GitHub CLI or the skills CLI for assistants such as Codex CLI and Claude Code. Its deliverables are Markdown instructions and supporting skill resources; a Python packaging script can also produce upload-ready ZIP archives. It fits developers and teams seeking consistent behavior across coding assistants, but it does not provide its own hosted service, model API, or agent execution engine.
The repository supplies project-agnostic rules in AGENTS.md, keeps user-level collaboration preferences in user/AGENTS.md, and defines reusable packages under skills/<skill>/SKILL.md. A compatible coding assistant reads those files and follows the selected workflow for guided planning, documentation or copywriting, scoped changes, worktree PR preparation, or delegation to Codex CLI, Antigravity CLI, and Grok Build. gh skill install scarletkc/agents and npx skills add scarletkc/agents browse and install skills, with supported options for selecting one skill and a target assistant. python scripts/package_skill.py <skill> writes dist/<skill>.zip with SKILL.md and its supporting files at the archive root while excluding root-level evals/ and local build artifacts. After edits to the shared task runtime, python scripts/sync_agent_runtime.py updates the bundled runtime copies carried by the CLI skills.
- A developer using both Codex CLI and Claude Code wants the assistants to follow the same baseline collaboration and coding rules.
- A team maintaining several repositories wants to reuse a base
AGENTS.mdwhile prepending structure, commands, and domain notes for each project. - A user wants one bounded workflow, such as
scoped-changefor limiting an edit orask-to-planfor turning a rough idea into an actionable plan. - A product or technical writer needs to choose between the compact
product-writingguide and the more prescriptiveux-writingrules. - A skill maintainer needs an upload-ready ZIP containing
SKILL.mdand its supporting resources for a web application. - A developer already working with Codex CLI, Antigravity CLI, or Grok Build wants a dedicated delegation workflow for that command-line product.
How do you install or deploy this agent?
You need a shell, network access, and permission to write to the destination skill directory. No model API credential is documented as a repository requirement. To browse interactively and install for the current Codex user with GitHub CLI, run gh skill install scarletkc/agents --agent codex --scope user. For a non-interactive single-skill installation, run gh skill install scarletkc/agents <skill> --agent codex --scope user. In an environment that supports npx, the alternative interactive global command is npx skills add scarletkc/agents -g; to choose a skill and assistant non-interactively, run npx skills add scarletkc/agents --skill <skill> --agent codex -g -y. Replace codex with another supported assistant, such as claude-code, when appropriate.
How do you use this agent?
Review the available skills and select only the workflows you need; each skill's full activation description and instructions live in its own skills/<skill>/SKILL.md. For repository-level guidance, copy the root AGENTS.md into the target repository and prepend that project's structure, commands, and domain notes. Keep personal collaboration preferences separate using user/AGENTS.md. Once installed, give the chosen coding assistant a task matching the skill's activation description so it can read and apply the relevant SKILL.md. Update all GitHub CLI-installed skills with gh skill update --all, or update global skills CLI installations with npx skills update -g -y. To create an uploadable archive, run python scripts/package_skill.py <skill> and use the resulting dist/<skill>.zip.
What are this agent's strengths and limitations?
- It separates project guidance, user collaboration preferences, and task-specific skills into distinct reusable scopes.
- It explicitly targets Codex CLI and Claude Code while using file formats that other readers of
AGENTS.mdorSKILL.mdcan consume. - The catalog covers planning, scope control, writing, promotional content, worktree PR preparation, and multiple CLI delegation workflows rather than one generic prompt.
- It provides two documented installation paths with individual skill selection, plus a script for producing standalone ZIP packages.
- CLI skills bundle their shared task runtime, and the repository includes a synchronization step whose consistency is checked by the test suite.
- It is not an autonomous agent or hosted service; execution depends on an external coding assistant or CLI that reads the files.
- The source does not provide a skill-by-skill compatibility matrix, so behavior outside Codex CLI and Claude Code requires verification.
- Installation depends on GitHub CLI or an
npx-capable skills CLI and requires network and local filesystem access. - Packaging and runtime synchronization use Python scripts, but no required Python version or complete environment specification is given.
- The README exposes only skill summaries, so adopters must inspect each
SKILL.mdbefore accepting its triggers and detailed instructions.
How does this agent compare with similar options?
product-writing is presented as the compact option for product copy and technical documentation, leaving more structural and editorial decisions to the task. ux-writing retains a more detailed rule set for clarity, consistency, durable facts, and removal of intermediate state. The repository recommends choosing one of the two guides for a task.
Key facts side by side with the most closely related agents.
| Agent | Source review | Form / cost | Stars | Updated | Language | Full support on |
|---|---|---|---|---|---|---|
| Agents Standards & Skills This agent | 73 · Some gaps | Agent plugin / skillFree | ★ 227 | 6d ago | Python | Codex · Claude Code |
| Code Abyss: Persona and Engineering Skills for Coding Agents | 60 · Some gaps | CLI | ★ 245 | 3mo ago | JavaScript | Codex · Claude Code |
| oh-my-agent | 60 · Some gaps | CLIFree + model costs | ★ 1.4k | today | TypeScript | Codex · Claude Code |
| Spec Kit Skills for Coding Runtimes | 53 · Major gaps | Agent plugin / skill | ★ 172 | 6d ago | Shell | Codex · Claude Code |
How does FollowAgents rate this agent?
Why each dimension lost points
AGENTS.md instructs contributors not to commit credentials, to sanitize paths and untrusted input, and to keep secrets in dedicated configuration channels. The Devin skill limits permission responses to one use and defaults to denying several high-impact operations; the Antigravity skill also rejects bypassing approval to avoid a denial. README installation and update commands help users understand the external steps. Deductions: these are guidance rather than enforced controls, and the supplied material does not fully document data flows, sensitive-data handling, or dependency review across all skills.
AGENTS.md calls for visible errors, no silent degradation, and failure coverage. Several offline agent fixtures model authentication failures, timeouts, permission denials, malformed output, and nonzero exits; CI lists test and validation steps. These sources support one another. Deductions: fixtures do not establish actual run results, and the supplied skill files are truncated or sampled, so repository-wide consistency cannot be checked.
The skills cover planning interviews, writing, UX, scope control, worktrees, and several external coding agents. README identifies Claude Code, Codex CLI, and other agents that read the relevant formats as audiences. Skill descriptions generally specify triggers and exclusions, and give environment prerequisites such as Python versions and existing installation or authentication. Deduction: compatibility details across agent environments are incomplete in this sample.
README organizes the base guidelines, user preferences, and skills; it includes a skill index, installation, updating, packaging, contribution, and feedback guidance. The repository provides an Apache-2.0 license and README points to NOTICE. Deductions: the sample shows no version policy or changelog, cannot establish naming stability across the full repository, and provides CLI installation guidance without showing installation details for every agent.
Each skill gives task-specific guidance. README provides actionable install, update, and packaging commands, while CLI skills describe starting, following up, and checking results, making the expected outputs reasonably usable. Reusable skills can reduce repeated setup, but the material does not compare or quantify their value or cost savings, so full marks are not warranted.
The README skill catalog points to individual SKILL.md files, making instructions traceable. The CI workflow names tests, catalog validation, and a skill-publishing dry run; offline fixtures provide evidence for several failure scenarios. Deductions: these files do not prove CI passed, the sources corroborate only some workflows, and the supplied sample is incomplete.
- This is a low-confidence static review of a sample; tests were not run and unprovided files were not checked.
- Some skills invoke external CLIs, access workspaces, and may request tool permissions; users should check permissions, working directories, and outputs as directed by each skill.
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[](https://followagents.com/en/agents/scarletkc-agents)<a href="https://followagents.com/en/agents/scarletkc-agents"><img src="https://followagents.com/badge/scarletkc-agents.svg" alt="FARS review"></a>FAQ
Does this repository execute code or call a model API by itself?
Does installation require an API key or paid service?
Can I install only one skill?
<skill> after the repository name, and the skills CLI supports --skill <skill>.How are project rules kept separate from personal preferences?
AGENTS.md, while user collaboration preferences are maintained separately in user/AGENTS.md.What troubleshooting guidance is available if installation fails?
npx environment, and destination write permissions; other problems can be reported through the repository's GitHub Issues.Thanks — we use this to improve the page.