菜单
Use this skill when reviewing RI=100 gamma transitions in ENSDF adopted files. Replaces unnecessary RI=100 averaging with source adoption from the most precise dataset, updates G-record RI/DRI when needed, rewrites cG RI$ comments, and validates the result.
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基于 SOC 职业分类
Use this skill when performing editorial review of ENSDF comment lines. Checks grammatical precision, subject-verb agreement, hyphenation, technical terminology, and ENSDF text-notation correctness. Suitable for editorial checks, grammar reviews, manuscript audits, or ENSDF comment validation in Nuclear Data Sheets manuscripts.
Use this skill when cross-checking all quoted values in cL J$ comment lines against L-record and G-record data fields in ENSDF adopted files. Detects mismatches in gamma energies, multipolarities, level energies, J-π values, and energy conservation violations. Fixes comment text only — never edits data records. Skip ruler and column validation (comment-only workflow).
ENSDF DP (Delayed Proton), B (Beta Minus), E (Electron Capture/Beta Plus), and A (Alpha) record 80-column format specifications and field definitions.
Use this skill when deducing multipolarities for gamma transitions and then Jπ for nuclear levels by combining constraints from feeding and deexciting gamma transitions using electromagnetic selection rules. Applies D/E2 rules to primary capture transitions, D/Q or D/E2 to deexciting gammas (if RUL applies), and takes AND intersection of all constraints. Handles multi-valued initial Jπ via union before intersection.
Use this skill when calculating weighted or unweighted averages for ENSDF nuclear data using Java_Average.py. Enforces exact transcription of the Suggested Adopted Result, minimum-uncertainty rule, and lifetime uncertainty limit 99. Suitable for adopting measured values from multiple publications.
Use this skill when standardizing multipolarity (M), mixing ratio (MR), angular correlation coefficients (A2, A4, A6), and polarization (POL) in ENSDF G-records. Extracts data from messy raw comment text, populates G-record fields, and adds standardized cG comment lines with proper subscript notation and {I} uncertainties. Validates 80-column compliance after every edit.
| name | ri-100-average-revision |
| description | Use this skill when reviewing RI=100 gamma transitions in ENSDF adopted files. Replaces unnecessary RI=100 averaging with source adoption from the most precise dataset, updates G-record RI/DRI when needed, rewrites cG RI$ comments, and validates the result. |
| argument-hint | ["adopted.ens"] |
ENSDF 80-column data record and field definitions, structural rules, column positions, and uncertainty notation: .github/agents/ENSDF-Agent.agent.md. Spot-check policy: .github/copilot-instructions.md.
cG RI$ comment averages multiple RI=100 valuesRI/DRI may need to follow a single source instead of an unnecessary averageRI=100 values are normalization references, not just normal intensities. Do not average them. Choose one source by comparing absolute uncertainties implied by ENSDF notation, not raw {I...} digits.
RI=100, 100.0, or 100.00 whose cG RI$ comment uses weighted or unweighted averaging.RI precision or DRI reflects averaging rather than that source, update the fields to match the adopted source.cG RI$ block as from SOURCE. plus Other: or Others: for the remaining datasets.cG E$ -> cG RI$ -> cG M$ -> cG MR$ -> other identifiers.ensdf_1line_ruler.py, then run file-level validation.cG RI$ block as from SOURCE1 and SOURCE2.cG RI$ comment averages RI=100 values.RI/DRI fields match the adopted source.