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refactor(kanban-orchestrator): drop hardcoded specialist roster, add Step-0 profile discovery
The skill enumerated 8 specialist profile names (researcher, analyst, writer, reviewer, backend-eng, frontend-eng, ops, pm) as "the standard roster" and told orchestrators to "assume these exist." Almost no real Hermes setup matches that fleet — single-profile setups, Docker-worker setups, and curated-team setups all violate it — so following the skill literally produced cards assigned to non-existent profiles, which the dispatcher silently failed to spawn (no autocorrect, no fallback, just sits in `ready` forever). Changes: - Drop the standard-specialist-roster table. - Add a "Profiles are user-configured — not a fixed roster" section at the top with a Step 0 that prescribes `hermes profile list` (or asking the user) before fanning out. Cache the result in working memory. - Rewrite the worked task-graph example with placeholder names (<profile-A>, <profile-B>, <profile-C>) so the structure is still teachable but doesn't invite copy-paste of role names that may not exist. - Reframe the "If no specialist fits" anti-temptation rule: don't invent profile names; ask the user. - Add a "Inventing profile names that doesn't exist" entry to Pitfalls. - Bump skill version 2.0.0 → 3.0.0 (semantic break: previous behavior promised a roster the skill no longer enumerates). - Update website/docs/user-guide/features/kanban.md to drop the matching "(researcher, writer, analyst, backend-eng, reviewer, ops)" line and explain the discovery prompt instead. - Re-run website/scripts/generate-skill-docs.py to refresh the auto-generated skill page + catalog. Closes #21131 in spirit — addresses the same hardcoded-names footgun @yehuosi flagged, with a different shape than their PR (delete the roster rather than replace each name with placeholder, since the roster table was the load-bearing footgun and the worked example is salvageable with placeholder profile names). Co-authored-by: yehuosi <yehuosi@users.noreply.github.com>
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@ -393,7 +393,7 @@ These skills are **additive** to the built-in `kanban-worker` — the dispatcher
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### The orchestrator skill
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A **well-behaved orchestrator does not do the work itself.** It decomposes the user's goal into tasks, links them, assigns each to a specialist, and steps back. The `kanban-orchestrator` skill encodes this as tool-call patterns: anti-temptation rules, a standard specialist roster (`researcher`, `writer`, `analyst`, `backend-eng`, `reviewer`, `ops`), and a decomposition playbook keyed on `kanban_create` / `kanban_link` / `kanban_comment`.
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A **well-behaved orchestrator does not do the work itself.** It decomposes the user's goal into tasks, links them, assigns each to one of the profiles you've set up, and steps back. The `kanban-orchestrator` skill encodes this as tool-call patterns: anti-temptation rules, a Step-0 profile-discovery prompt (the dispatcher silently fails on unknown assignee names, so the orchestrator must ground every card in profiles that actually exist on your machine), and a decomposition playbook keyed on `kanban_create` / `kanban_link` / `kanban_comment`.
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A canonical orchestrator turn (two parallel researchers handing off to a writer):
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