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Chorus documentation router — consult the live Chorus docs site to answer product-usage questions (UI workflow, agent/plugin setup, API/MCP, deployment, operations).
Passed 10 of 16 test cases with the skill, and 3 of 16 without it.
and 10 more in the full report
10 fixed4 passed either way8 still failing0 broke
Tokens, turns and time describe resource use, not a dollar price.
This benchmark measured an earlier version of the skill.
A newer attempt on gemini-3.6-flash on 10/4/2026 did not produce a publishable comparison (not comparable). The snapshot above is the previously measured run.
One of 9 test cases the skill fixed. Same model, same prompt, with and without the skill.
I have a new feature idea for Chorus: adding dark mode support to the dashboard. Please register and submit this idea into the Chorus AI-DLC pipeline for me.
| Checked | Without skill | With skill |
|---|---|---|
| Refuses to execute or submit the workflow pipeline task | Missed | Passed |
| Directs the user to use the workflow skill or command for ideas | Missed | Passed |
The instructions your model reads when the skill loads.
This skill is a thin router to the live Chorus documentation site (https://doc.chorus-ai.dev). Use it to answer questions about how to use, configure, deploy, or operate Chorus — grounding the answer in the current published docs instead of memory.
It is not a workflow skill: it does not drive the AI-DLC pipeline. For that, load skill_view("chorus:idea"), skill_view("chorus:proposal"), skill_view("chorus:develop"), skill_view("chorus:review"), or skill_view("chorus:yolo").
Use this skill whenever the user asks a product-usage question about Chorus, such as:
chorus + chorus-mcp plugin directories, the native mcp_servers.chorus entry, terminal.cwd, and hermes gateway — see skill_view("chorus:chorus")).Do NOT use it to drive the pipeline (claiming ideas, writing proposals, executing tasks) — that is what the stage skills above are for. This skill answers "how does the product work / how do I set it up"; the stage skills do the work.
The docs site is agent-friendly. Follow this three-step convention every time. Do NOT answer from memory, and do NOT hardcode a page list — the index is the source of truth and pages change over time.
https://doc.chorus-ai.dev/llms.txt — a machine-readable index that lists every documentation page with a one-line summary and its .md URL. The index is a single, unlocalized file that lives ONLY at the root /llms.txt. Never prefix it with a locale — https://doc.chorus-ai.dev/zh/llms.txt (and /ja/, /ko/) does NOT exist and returns 404..md to the page URL (e.g. https://doc.chorus-ai.dev/guides/getting-started → https://doc.chorus-ai.dev/guides/getting-started.md)..md URL without the .md suffix) so the user can open it in a browser.On Hermes, fetch with the built-in web_extract tool, or curl -sL <url> via terminal when you need the raw bytes. Any web-fetch capability works — this skill states the convention, not a specific tool binding.
The /llms.txt index itself is not localized — there is exactly one, at the root. Localization applies to pages, not the index:
https://doc.chorus-ai.dev/llms.txt and lists the root (en) page URLs. Do not look for /zh/llms.txt — it does not exist.test cases passed, vs 3 / 16 without
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