Results for “attribution”

Generates user-facing changelogs for stable releases of the Galyarder Framework, following calendar versioning and including breaking changes, highlights, improvements, fixes, and contributor attribution.

GitHub 开源贡献自动化技能：根据目标公司和岗位寻找活跃项目，优先扫描 typo、README、Markdown、坏链接和 formatting 等低门槛机会，自动 fork、改动、验证并提交 PR，合并后把 contribution graph 酥化为 /asu 可用的简历素材；当用户输入“/contributor”、想刷 GitHub 绿点、做 first contribution、批量找开源小活或把 PR 写进简历时使用。

Apply six decades of persuasion science—Cialdini's principles of reciprocity, commitment, social proof, authority, liking, scarcity, and unity—to product design, copy, and sales, ethically.

Creates and maintains a minimal, high-signal AGENTS.md file for AI coding agents, covering package manager, file-scoped commands, commit attribution, and key conventions.

Use this skill for README, ADRs, runbooks, changelogs, decision records, operator docs. Trigger when the task involves programming work related to Documentation Adrs, production implementation, audits, debugging, strategy, or validation.

Use to set up or fix quality assurance for voice/phone support, including transcript-based and AI-graded call QA. Trigger for "QA our calls", "score phone conversations", call transcription accuracy for QA, diarisation or speaker attribution problems, word error rate, grading calls from transcripts, or adapting a chat/email QA scorecard to voice.

Remove signs of AI-generated writing from academic medical papers. Use when editing or reviewing manuscripts to make them sound more natural and professionally written. Based on Wikipedia's "Signs of AI writing" guide, adapted for medical literature. Detects and fixes patterns including: inflated significance claims, superficial -ing analyses, vague attributions, AI vocabulary words, copula avoidance, excessive hedging, generic conclusions, informal word choices (linked/beyond/via/where/yield), overly assertive causal claims, and artificially condensed expressions. Preserves legitimate academic transitions (Notably, Prior studies have shown, etc.).