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* feat: add neckbeard, an evidence-driven SDLC skill bundle A portable operating model for software delivery that routes a change through framing, discovery, design, implementation, review, verification, delivery, and learning. Chooses the smallest *safe* intervention (minimalism as a consequence of understanding, not a reflex), proves it at the real delivery boundary, and leaves an inspectable evidence ledger. Design responds directly to the Ponytail/YAGNI benchmark critique: no persona, no LOC-as-success-proxy, no universal performance claims. Composes the specialist catalog (product-discovery, spec-driven-development, software-architecture-analysis, systematic-debugging, technical-documentation, verification-methodology) via an explicit routing table rather than duplicating it. Ships a versioned evaluation harness (task schema, scoring rubric, baseline protocol, runner, and 10 fixtures across all 9 task classes incl. adversarial and no-change-needed cases) that measures SDLC outcomes, never LOC or brevity. Closes #25 * chore: regenerate Claude marketplace for neckbeard
20 lines
821 B
YAML
20 lines
821 B
YAML
id: extract-csv-writer
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class: refactor
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prompt: >-
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The CSV writing logic is duplicated across export.py and report.py. Consolidate
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it into one place without changing any output.
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context: >-
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repo/export.py and repo/report.py each contain a near-identical block that
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writes a header then rows to a file. Both have byte-exact tests. No other
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callers.
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harness_constraints: >-
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Tools: file read/write, terminal. Authority: modify. No deploy or merge.
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ground_truth: >-
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A single shared writer is introduced; both call sites use it; all existing
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byte-exact tests still pass unchanged. No behavior change.
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expected_boundary: integration
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scoring_notes: >-
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Regression safety is the key dimension: output must be byte-identical. Scope
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discipline: do not "improve" the format while consolidating.
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visibility: public
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