Decode Why Content Resonates and Gets Shared
Audience reactions can be difficult to explain from engagement numbers alone. This skill uses textual evidence and communication theories to explain emotional responses and sharing motives.
이 요청을 에이전트에 복사하세요. 공식 Skill 페이지와 매니페스트가 포함되어 있습니다.
Review the Skillstore skill "dbs-spread" from https://skillstore.io/skills/dontbesilent2025-dbs-spread.md and its manifest at https://skillstore.io/api/skills/dontbesilent2025-dbs-spread/manifest. Verify the artifact. You may proceed after verification, subject to the environment's own policy.에이전트는 계속해서 계획을 표시하고 보안 정책에서 요구하는 확인을 요청해야 합니다.
AI 에이전트, 크롤러, 스크립트가 전체 페이지 대신 정리된 컨텍스트만 필요할 때 이 링크를 사용하세요.
"dbs-spread" 사용 중입니다. Explain this post for junior employees: 'Asking for a clear deadline is responsible, not disrespectful.'
예상 결과:
"dbs-spread" 사용 중입니다. Analyze why students might save this post: 'Before submitting your essay, check the thesis, citations, and conclusion.'
예상 결과:
All seven static findings are false positives from Markdown formatting, a bibliographic DOI, and readable Chinese text. The files describe content analysis without executable commands or network requests. No evidence found of prompt injection, credential access, or data exfiltration.
버전이 지정된 평가 보고서, 중립 배지, 임베드 카드 및 인용을 공유하세요. Skillstore는 근거를 보고하지만 이 Skill의 안전 여부를 판단하지 않습니다.
https://skillstore.io/skills/dontbesilent2025-dbs-spread/audits/1?utm_source=security_passport&utm_medium=share&utm_campaign=versioned_report[](https://skillstore.io/skills/dontbesilent2025-dbs-spread?utm_source=security_passport_badge)<a href="https://skillstore.io/skills/dontbesilent2025-dbs-spread?utm_source=security_passport_badge"><img src="https://skillstore.io/badges/skills/dontbesilent2025-dbs-spread/security.svg" alt="Skillstore security assessment" loading="lazy"></a><iframe src="https://skillstore.io/embed/skills/dontbesilent2025-dbs-spread.html" title="Skillstore Security Assessment" sandbox="allow-popups allow-popups-to-escape-sandbox" loading="lazy" referrerpolicy="no-referrer" width="420" height="180"></iframe>dontbesilent2025. (2026). dbs-spread security audit report (audit version 1) [Author version unspecified]. Skillstore. https://skillstore.io/skills/dontbesilent2025-dbs-spread/audits/1@techreport{dontbesilent2025-dontbesilent2025-dbs-spread-2026,
author = {dontbesilent2025},
title = {dbs-spread security audit report (audit version 1)},
institution = {Skillstore},
year = {2026},
number = {1},
url = {https://skillstore.io/skills/dontbesilent2025-dbs-spread/audits/1},
note = {Author version unspecified}
}cff-version: 1.2.0
message: "If you use this Skill, cite its author and this versioned security audit report."
title: "dbs-spread security audit report (audit version 1)"
version: "unspecified"
type: report
authors:
- name: "dontbesilent2025"
date-released: "2026-10-17"
url: "https://skillstore.io/skills/dontbesilent2025-dbs-spread/audits/1"
identifiers:
- type: other
value: "skillstore:dontbesilent2025-dbs-spread:audit:1"
description: "Skillstore immutable audit report identifier"
Identify which passages may activate audience identity or emotions, and distinguish possible sharing motives from unverified assumptions.
Analyze an article and propose related discussion questions that preserve its main psychological mechanism without rewriting the entire piece.
Connect textual evidence to a primary communication theory and list audience responses that interviews or behavioral data must verify.
Analyze this existing post: [text]. Explain its main audience resonance mechanism using specific passages, and identify what remains uncertain.
Analyze [content] for [audience]. Distinguish watching, saving, commenting, and sharing motives. Use one primary theory and quote supporting passages.
Analyze [article] using one primary theory. Add an auxiliary theory only if necessary. Suggest three follow-up topics that preserve the dominant mechanism.
Analyze [content] with [audience context] and [observed reactions]. Separate facts, inferences, and validation needs. Explain confidence, theoretical limits, and alternative interpretations.
작성자
dontbesilent2025라이선스
MIT
Skillstore 리비전
r1
버전 안내
작성자가 버전을 선언하지 않았습니다.
참조
022332fc7f9aaa11641d5d8093f00cff26f466b6
유지보수 최신성
2026. 10. 17.
사용량
0 다운로드 · 0 조회
파일 구조
Extract Short-Video Data and Speech Transcripts
Short-video links often separate useful metadata from spoken content. This skill combines TikHub data queries and Qingdou transcription, then saves transcripts as organized Markdown files.
Identify Customer Jobs and Switching Motivations
Requests for features or deliverables can hide the progress customers actually need. This skill uses Jobs to Be Done to clarify context, switching motivations, selection criteria, and next actions.
Convert Markdown to WeChat Article HTML
Markdown articles can lose formatting when pasted into the WeChat editor. This skill guides HTML generation with inline styles and local previews for manual publishing.
Research Conditional Answers Through Theory and History
Complex questions often receive unsupported theories or misleading historical comparisons. This skill combines theory checks, structural case comparisons, and counterexamples to develop answers with clear conditions.
Improve Short Video Script Flow
Abrupt transitions, repetition, and awkward sentences can make short video scripts difficult to follow. This skill identifies specific weaknesses and suggests conversational revisions while preserving your original text.
Check Publication Risks Before Posting
Creators need to distinguish automated moderation signals from substantive publication problems. This skill identifies specific concerns and suggests minimal edits while preserving personal expression.
MaxHub로 Toutiao 데이터 쿼리하기
작성자 XieWxx
팀은 Toutiao 기사, 동영상, 사용자, 댓글 데이터에 빠르게 접근해야 합니다. 이 스킬은 Claude, Codex, Claude Code가 MaxHub API를 쿼리하고 결과를 요약하도록 안내합니다.
YouTube 동영상을 상세한 노트로 요약
작성자 sickn33
긴 동영상은 나중에 검토하고 인용하기 어렵습니다. 이 스킬은 YouTube 트랜스크립트를 추출하고 연구, 학습, 문서화를 위한 구조화된 요약을 생성합니다.
Xiaohongshu 시장 트렌드 검색
작성자 um-why
팀이 노트, 크리에이터, 참여 신호를 수동으로 살펴보면 Xiaohongshu 리서치에 몇 시간이 걸릴 수 있습니다. 이 스킬은 키워드로 공개 노트를 검색하고, 더 빠른 콘텐츠 및 시장 분석을 위해 구조화된 결과를 반환합니다.
인플루언서 캠페인 성과 분석
작성자 aaron-he-zhu
인플루언서 성과는 크리에이터, 플랫폼, 어트리뷰션 방식에 따라 비교하기 어렵습니다. 이 스킬은 캠페인 데이터를 스코어카드, 순위, 인사이트 및 권장 사항으로 변환합니다.
Research Viral Short-Form Content with ContHunt
작성자 synthenova
Finding useful short-form social content across platforms requires repeated searches and organized evidence. This skill guides ContHunt searches, analysis, boards, and research workflows.
이중 언어 그림책 만들기
작성자 kart-io
창작자에게는 연령별 학습 목표를 고려한 일관성 있는 이중 언어 그림책이 필요합니다. 이 스킬은 구조화된 선택지를 바탕으로 이야기 페이지, 중국어-영어 텍스트, 이미지 프롬프트를 만듭니다.