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Revert the docs re-sync — quoting SKILL.md text and narrating the change was bad documentation
The two FAQ edits quoted the literal new SKILL.md instruction text and described "now X, replacing Y, intended to fix Z" — implementation-change narration, exactly what .agents/writing-docs.md's "explain the why, not the process" / "never reproduces the SKILL.md steps" rules argue against. It also duplicates content that lives in SKILL.md, which is precisely what caused the stale quote this PR already had to fix once. That story belongs in the changeset/CHANGELOG, not the docs page. Reverted both files to their pre-PR state; the changeset stays as the record of what changed and why. Co-Authored-By: Claude <noreply@anthropic.com>
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@@ -16,7 +16,7 @@ Typing `/grilling` directly gets you the plain interview and nothing else. Where
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| You are in a working directory | [grill-with-docs](https://aihero.dev/skills-grill-with-docs) — the same session, and it writes `CONTEXT.md` and ADRs as it goes |
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| An effort too big to hold in one session | [wayfinder](https://aihero.dev/skills-wayfinder) — it charts a map and runs grilling inside the decision tickets |
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| A question that talking cannot settle — how something should look or feel | [prototype](https://aihero.dev/skills-prototype) — build the throwaway version, then come back |
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| A skill of your own that needs an interview | Call the Skill tool with "grilling" from it, rather than writing another interview |
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| A skill of your own that needs an interview | Invoke `/grilling` from it, rather than writing another interview |
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## The round, the frontier, and who decides
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@@ -67,10 +67,10 @@ That is a bug in the run, not the intended behaviour, and it was the reason fact
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No, and a cap is deliberately out of scope. Some plans need three questions and some need fifty; a fixed ceiling either truncates the hard case or feels arbitrary on the easy one. Steering in plain language is the intended control — tell it to wrap up, or stop and accept the plan where it stands. If a session is running very long, the cause is usually that the scope was too big; break the work up and grill the pieces.
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**I installed `grill-me` on its own and nothing happens.**
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`grill-me` is a one-line skill whose whole body is `Call the Skill tool with "grilling"`, so it needs this skill installed too. The same is true of `grill-with-docs`, which additionally needs [domain-modeling](https://aihero.dev/skills-domain-modeling). Installing the whole set avoids the problem; installing selectively means installing the primitives as well.
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`grill-me` is a one-line skill whose whole body is "run a `/grilling` session", so it needs this skill installed too. The same is true of `grill-with-docs`, which additionally needs [domain-modeling](https://aihero.dev/skills-domain-modeling). Installing the whole set avoids the problem; installing selectively means installing the primitives as well.
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**`grill-with-docs` ran, but it never loaded `grilling`.**
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A reported rough edge, seen across [harnesses](https://www.aihero.dev/ai-coding-dictionary/harness) and models: a skill that names another skill in prose does not reliably cause that skill to load, and `grill-with-docs` names two. The skill's body now names both explicitly as separate Skill tool calls ("Call the Skill tool twice, for `grilling` and `domain-modeling`") rather than a bare mention, which is intended to raise the hit rate — but if you still see it, the tell is a session that asks everything at once with no recommendations attached, which is the model improvising an interview rather than running this one. Asking the agent directly whether it loaded `grilling` and `domain-modeling` usually recovers it.
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A real and unfixed rough edge, reported across [harnesses](https://www.aihero.dev/ai-coding-dictionary/harness) and models: a skill that names another skill does not reliably cause that skill to load, and `grill-with-docs` names two. The tell is a session that asks everything at once with no recommendations attached — that is the model improvising an interview rather than running this one. Asking the agent directly whether it loaded `grilling` and `domain-modeling` usually recovers it.
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## It's working if
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