dingxingdi/paper_fast_search_backup/sentential-rephrasing-translation
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Use this skill when the user wants translation data where the ask is phrased in an unusual sentence shape, such as an indirect request, a longer setup sentence, or a differently ordered instruction. Trigger it for requests like "say the same thing but in a more roundabout way," "people do not always ask in one short command," or "test whether the system still translates when the request is worded awkwardly but means the same thing."
Install
npx vskill@latest install dingxingdi/paper_fast_search_backup/sentential-rephrasing-translationSKILL.md
Skill: sentential-rephrasing-translation
1. Capability Definition & Real Case
- Professional Definition: The ability to preserve translation behavior when the instruction is re-expressed through different sentence forms, discourse ordering, or indirect phrasing, while leaving its underlying meaning unchanged.
- Dimension Hierarchy: Robustness to Imperfect or Misleading Instructions->Prompt Perturbation Robustness->sentential-rephrasing-translation
Real Case
[Case 1]
- Initial Environment: A translation agent is provided an English meeting reminder and a target language setting. The environment is intentionally simple so that any failure can be attributed to sentential rephrasing rather than terminology or discourse complexity.
- Real Question: I need the next line available for our French-speaking office, so please take it as it stands and give it back in French: "The meeting has been moved to next Tuesday at 9 a.m."
- Real Trajectory: The agent resolves the indirect request into a translation task, preserves the time expression semantically, and outputs only the French translation.
- Real Answer: La réunion a été reportée à mardi prochain à 9 h.
- Why this demonstrates the capability: The request is not phrased as a short imperative but as a longer conversational sentence. A brittle system may fail to map this discourse form to a translation action, whereas a robust one should. The case therefore isolates whether the model depends too strongly on one prompt template or can generalize across equivalent sentence formulations.
Pipeline Execution Instructions
To synthesize data for this capability, you must strictly follow a 3-phase pipeline. Do not hallucinate steps. Read the corresponding reference file for each phase sequentially:
- Phase 1: Environment Exploration
Read the exploration guidelines to discover raw knowledge seeds: references/EXPLORATION.md
- Phase 2: Trajectory Selection
Once Phase 1 is complete, read the selection criteria to evaluate the trajectory: references/SELECTION.md
- Phase 3: Data Synthesis
Once a trajectory passes Phase 2, read the synthesis instructions to generate the final data: references/SYNTHESIS.md
Security
- Security scanPassed, 90 of 100Pattern checks on the skill's files.
- Model reviewPassed
Quality evaluation
- Task evaluationNot runNo evaluation yet. Run one in Skill Studio.
Source
- SKILL.md in the repositoryCheckingexamples/evol_ability/20260325_170549/profiles/trans/skills/sentential-rephrasing-translation/skill.md
Popularity
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Works with
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