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Get Started Free →Introspect, explain, and improve Ralph Orchestrator using its published llms.txt doc map. Use this skill whenever the user asks questions about Ralph's behavior, wants to understand how a Ralph internal works (event loop, hats, memories, tasks, backends, presets), debug an unfamiliar failure mode, or propose a code change to the ralph-orchestrator repo. The skill teaches the agent to discover authoritative answers from the live docs via llms.txt before guessing, and to scope improvements through
| Test case | Without → With | Effect | Δ tokens | Δ turns |
|---|---|---|---|---|
| case-07 | ✗→✓ | ▲ Improved | 194% | 0% |
| case-09 | ✗→✓ | ▲ Improved | 38% | 0% |
| case-15 | ✗→✓ | ▲ Improved | 73% | 0% |
| case-10 | ✗→✓ | ▲ Improved | 20% | 0% |
| case-11 | ✗→✓ | ▲ Improved | 88% | 0% |
Introspect Ralph Orchestrator the same way the framework expects a smart agent to — consult the published documentation map at <https://mikeyobrien.github.io/ralph-orchestrator/llms.txt>, fetch only the sections relevant to the question, and answer from authoritative sources.
Use this skill to behave like an internal Ralph contributor rather than a guess-first assistant.
memories, tasks, presets, backends, CLI, TUI, diagnostics, waves, or API.
max_iterations?", "why didn't my hat fire?") from first principles in the docs, not pattern-matching.
ralph-orchestrator codebase —locating the right crate, the relevant concept doc, and the existing test surface before writing code.
concept + reference docs for that subsystem, identify the probable file path in the repo.
Getting Started pages instead of the agent's stale training data.
Ralph's llms.txt is a curated map, not a full-text dump. The workflow is:
llms.txt to see the top-level sections(Getting Started / Concepts / User Guide / Advanced / API / Examples / Contributing / Reference).
links directly to .md versions — those are agent-optimized and should be preferred over scraping HTML.
speculatively; the budget should be spent on answering, not browsing.
paths are listed in AGENTS.md / CLAUDE.md inside the ralph-orchestrator checkout).
verify.
references/llms-txt-map.md (hats, event loop, memories, tasks, backends, presets, CLI, TUI, diagnostics, waves, API).
~/.cache/ralph-docs/llms.txt exists and is <7 days old, use it. Elserefetch it:
bash mkdir -p ~/.cache/ralph-docs curl -sSfL https://mikeyobrien.github.io/ralph-orchestrator/llms.txt \ -o ~/.cache/ralph-docs/llms.txt
.md pages most relevant to the subsystem. The mapentries are documented in references/llms-txt-map.md; use it to shortcut the grep.
curl -sSfL <url> -o ~/.cache/ralph-docs/<stem>.mdand read them. Agents with web_fetch or an equivalent tool should use that instead.
relevant sentence when the user asks "does Ralph do X?" so they can audit.
checkout and follow references/contributing.md for the propose-a-change workflow.
ralph-hats. For operating a live loop (running, resuming, merging, debugging), defer to ralph-loop. For code changes to ralph-orchestrator itself, this skill scopes the change; the actual editing uses the agent's native code-editing tools.
not surface an answer, say so and suggest checking the source tree at <https://github.com/mikeyobrien/ralph-orchestrator>.
CLI flags, preset names). Ralph's CLI evolves; always verify against guide/cli-reference.md or reference/changelog.md.
.md URLs from llms.txt over scraping the rendered HTML.~/.cache/ralph-docs/ with a 7-day stalenessthreshold. Refetch llms.txt before any other doc to detect renames/moves.
installed ralph version), note the mismatch and suggest ralph --version so the user can decide which to trust.
concepts/tenets/index.md first. Ralph's six tenets are load-bearing; changes that fight them usually belong somewhere else.
references/contributing.md for the crate map), the concept doc that justifies the change, and the test file that should cover it.
references/llms-txt-map.md
references/common-questions.md
references/contributing.md
Other measured skills in the registry, with their headline benchmark lift.