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SkillsMP has collected 8 skills from topcoder-platform/tc-ai-api. Open a skill to review its source and details.
Showing 8 of 8 collected skills.
Extracts structured submission information from challenge specifications including deliverables, packaging format, submission type, storage, and eligibility conditions. Use when parsing what submitters must deliver and how.
Determines whether a challenge provides pre-existing artifacts (repos, starter code, APIs, designs) or is greenfield. Use when analyzing a challenge specification to identify starting-point artifacts, their types, URLs, and existing technology present in…
Extracts technology stack from challenge specifications including programming languages, frameworks, libraries, databases, cloud services, and protocols. Use when identifying all technologies mentioned or implied by a challenge description.
Rewrites raw, vague, or poorly written job description text into clear, professional, and specific language. Use when transforming rough JD content into polished prose while preserving all factual information from the source.
Extracts a flat list of technical and soft skill keywords from job descriptions using canonical casing. Use when identifying all skills mentioned or implied by a JD for tagging and matching purposes.
Formats job descriptions into a standardized Topcoder opportunity structure with consistent sections, headings, and Markdown formatting. Use when rewriting a raw JD to ensure every output follows the canonical section order and formatting conventions.
Groups extracted requirements into logical clusters by feature area or problem domain. Use after requirements extraction to organize requirements into named groups, ensuring every requirement appears in exactly one group.
Extracts individual requirements from Topcoder challenge specifications. Use when parsing a challenge description to identify every distinct piece of work the submitter must deliver, including titles, descriptions, priorities, and constraints.