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-`topology-sanity-check redundancy [source target]` -- Check for dominated reduction rules
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-[meta-power](skills/meta-power/SKILL.md) -- Batch-resolve all open `[Model]` and `[Rule]` issues autonomously: plan, implement, review, fix CI, merge — in dependency order (models first).
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-[project-pipeline](skills/project-pipeline/SKILL.md) -- Pick a Ready issue from the GitHub Project board, move it through In Progress -> issue-to-pr --execute -> review-agentic.
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-[review-pipeline](skills/review-pipeline/SKILL.md) -- Pick a PR from review-agentic column, fix Copilot review comments, fix CI, run agentic feature tests, move to In Review.
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-[dev-setup](skills/dev-setup/SKILL.md) -- Interactive wizard to install and configure all development tools for new maintainers.
@@ -163,7 +162,7 @@ Reduction graph nodes use variant key-value pairs from `Problem::variant()`:
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- Test naming: `test_<source>_to_<target>_closed_loop`
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### Paper (docs/paper/reductions.typ)
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-`problem-def(name)[body]` — defines a problem with auto-generated schema, reductions list, and label `<def:ProblemName>`. Title comes from `display-name` dict.
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-`problem-def(name)[def][body]` — defines a problem with auto-generated schema, reductions list, and label `<def:ProblemName>`. Title comes from `display-name` dict.
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-`reduction-rule(source, target, example: bool, ...)[rule][proof]` — generates a theorem with label `<thm:Source-to-Target>` and registers in `covered-rules` state. Overhead auto-derived from JSON edge data.
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- Every directed reduction needs its own `reduction-rule` entry
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- Completeness warnings auto-check that all JSON graph nodes/edges are covered in the paper
@@ -211,6 +210,8 @@ Unit tests in `src/unit_tests/` linked via `#[path]` (see Core Modules above). I
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