Guides

Use with AI Tools

Feed AgentClash docs into ChatGPT, Codex, Claude Code, and similar tools using llms.txt and markdown exports, and install the AgentClash Agent Skills.

Goal: give an assistant or coding agent enough AgentClash context to answer questions, draft workflows, or transform the docs into internal runbooks.

Prerequisites:

  • You can open or paste URLs into the assistant you are using.
  • You know whether you want the full docs bundle or just one page.

Pick the right docs export

AgentClash now exposes three AI-friendly surfaces:

  • /llms.txt: a compact index of the shipped docs set
  • /llms-full.txt: one bundled markdown-oriented export of the full docs corpus
  • /docs-md/...: page-level markdown exports that mirror /docs/...

Use them differently:

  • use llms.txt when the tool needs a map first
  • use llms-full.txt when you want one-shot context for a larger prompt
  • use /docs-md/... when you only need one focused page, like quickstart or config

Fastest workflow in ChatGPT, Codex, or Claude Code

  1. Start with https://agentclash.dev/llms.txt.
  2. If the tool can fetch URLs directly, give it that URL first.
  3. If the tool cannot fetch URLs, open the file yourself and paste the contents.
  4. Ask the tool which page it needs next.
  5. Feed the relevant /docs-md/... page or the full bundle, depending on scope.

That keeps the context tight. Do not dump the full bundle into every prompt by default.

Good prompt patterns

Use prompts that ask the model to stay anchored to the supplied docs. Examples:

text
Using https://agentclash.dev/llms.txt, tell me which docs pages I should read to self-host AgentClash and understand the worker architecture.
text
Use the markdown from https://agentclash.dev/docs-md/guides/interpret-results and turn it into a short incident-review checklist for my eval team.
text
Use https://agentclash.dev/llms-full.txt as the product docs corpus and answer only from that material: what is the difference between a run, an eval, and a challenge pack?

When to use page-level exports instead of the full bundle

Prefer page-level exports when:

  • you are debugging one subsystem
  • you want tighter answers with lower token cost
  • the assistant tends to over-generalize when given too much context

Prefer the full bundle when:

  • you want a holistic onboarding summary
  • you are asking for a docs-wide rewrite or glossary
  • you are building internal retrieval or indexing pipelines

Verification

You should now be able to hand any of these URLs to a tool and get grounded answers:

  • https://agentclash.dev/llms.txt
  • https://agentclash.dev/llms-full.txt
  • https://agentclash.dev/docs-md/getting-started/quickstart

Troubleshooting

The assistant cannot open URLs

Open the relevant endpoint yourself and paste the content directly.

The answer is too vague

Use a narrower /docs-md/... page instead of the full bundle.

The answer mixes product claims with guesses

Tell the tool to answer only from the supplied docs export and cite the page title it used.

Install AgentClash Agent Skills

Beyond feeding docs into a tool, AgentClash ships Agent Skills that teach a coding agent to operate the CLI directly — setup, eval runs, scorecard reading, CI gates, and challenge-pack authoring.

Install them with the AgentClash CLI. It is idempotent and writes only SKILL.md files — never your CLAUDE.md, AGENTS.md, or .mcp.json:

bash
1agentclash integration claude install    # -> ~/.claude/skills/
2agentclash integration codex install     # -> ~/.agents/skills/
3agentclash integration cursor install    # -> ~/.cursor/skills/
4agentclash integration openclaw install  # -> ~/.openclaw/skills/
5agentclash integration hermes install    # -> ~/.hermes/skills/
6agentclash integration opencode install  # -> ~/.config/opencode/skills/
7agentclash integration claude doctor     # verify installed / missing / drifted

Project-local OpenCode installs use .opencode/skills/ — use the agent-skills bundle installer with --project until the CLI adds a project scope flag.

Offline export

For air-gapped machines, export the embedded snapshot to a directory or tarball, then copy or extract into the agent skills path:

bash
1agentclash skills export --dir ./agentclash-skills
2agentclash skills export --dir ./claude-skills.tar.gz --host claude --format tar.gz
3tar -xzf claude-skills.tar.gz -C ~
4agentclash integration claude doctor

Or install the published bundle with GitHub CLI 2.90+, which drops skills into the correct directory for Claude Code, Copilot, Cursor, Codex, Gemini CLI, or Antigravity:

bash
gh skill install agentclash/agentclash <skill>

The skills assume the agentclash CLI is on your PATH (requires_cli: true). After installing, reload skills in your agent.

See also