Social
coreyhaines31/marketingskills
When the user wants help creating, scheduling, or optimizing social media content for LinkedIn, Twitter/X, Instagram, TikTok, or Facebook, or wants to do social listening and engagement triage.
安全追踪热点、研究关键词和拆解竞品内容，并将结果转成原创选题和证据包。用于用户要求找热点、看趋势、分析爆款、研究竞品账号、拆标题或开头、比较内容结构、发现评论需求和判断时效窗口。只做公开信息研究和只读采集，不自动互动、发布或使用主账号登录态抓取竞品。
Install Self Media Trend Radar
$ npx skills add yanhua1010/self-media-content-workflow --skill self-media-trend-radar -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install yanhua1010/self-media-content-workflow self-media-trend-radar --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/yanhua1010/self-media-content-workflow.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/self-media-trend-radar .claude/skills/self-media-trend-radar && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "self-media-trend-radar" agent skill from https://github.com/yanhua1010/self-media-content-workflow/tree/main/skills/self-media-trend-radar into .claude/skills/self-media-trend-radar/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "self-media-trend-radar", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/yanhua1010/self-media-content-workflow/tree/main/skills/self-media-trend-radarType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add yanhua1010/self-media-content-workflow --skill self-media-trend-radar -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install yanhua1010/self-media-content-workflow self-media-trend-radar --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/yanhua1010/self-media-content-workflow.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/self-media-trend-radar .agents/skills/self-media-trend-radar && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "self-media-trend-radar" agent skill from https://github.com/yanhua1010/self-media-content-workflow/tree/main/skills/self-media-trend-radar into .agents/skills/self-media-trend-radar/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "self-media-trend-radar", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add yanhua1010/self-media-content-workflow --skill self-media-trend-radar -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install yanhua1010/self-media-content-workflow self-media-trend-radar --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/yanhua1010/self-media-content-workflow.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/self-media-trend-radar .cursor/skills/self-media-trend-radar && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "self-media-trend-radar" agent skill from https://github.com/yanhua1010/self-media-content-workflow/tree/main/skills/self-media-trend-radar into .cursor/skills/self-media-trend-radar/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "self-media-trend-radar", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/yanhua1010/self-media-content-workflow.git --path skills/self-media-trend-radar--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add yanhua1010/self-media-content-workflow --skill self-media-trend-radar -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install yanhua1010/self-media-content-workflow self-media-trend-radar --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/yanhua1010/self-media-content-workflow.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/self-media-trend-radar .gemini/skills/self-media-trend-radar && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "self-media-trend-radar" agent skill from https://github.com/yanhua1010/self-media-content-workflow/tree/main/skills/self-media-trend-radar into .gemini/skills/self-media-trend-radar/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "self-media-trend-radar", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install yanhua1010/self-media-content-workflow self-media-trend-radarInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add yanhua1010/self-media-content-workflow --skill self-media-trend-radar -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/yanhua1010/self-media-content-workflow.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/self-media-trend-radar .github/skills/self-media-trend-radar && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "self-media-trend-radar" agent skill from https://github.com/yanhua1010/self-media-content-workflow/tree/main/skills/self-media-trend-radar into .github/skills/self-media-trend-radar/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "self-media-trend-radar", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add yanhua1010/self-media-content-workflow --skill self-media-trend-radar -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install yanhua1010/self-media-content-workflow self-media-trend-radar --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/yanhua1010/self-media-content-workflow.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/self-media-trend-radar .opencode/skills/self-media-trend-radar && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "self-media-trend-radar" agent skill from https://github.com/yanhua1010/self-media-content-workflow/tree/main/skills/self-media-trend-radar into .opencode/skills/self-media-trend-radar/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "self-media-trend-radar", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
self-media-trend-radar- GitHub stars
- 576
- Token cost
- ~250 tokens
- SKILL.md length
- 62 words
- Files
- 3 (incl. references)
- Skills in repo
- 10
- Repo updated
- First seen
- Licence
- MIT
At a glance
安全追踪热点、研究关键词和拆解竞品内容，并将结果转成原创选题和证据包。用于用户要求找热点、看趋势、分析爆款、研究竞品账号、拆标题或开头、比较内容结构、发现评论需求和判断时效窗口。只做公开信息研究和只读采集，不自动互动、发布或使用主账号登录态抓取竞品。
- Works in 5 steps: 定义研究问题 → 收集有限样本 → 拆解结构 → …
- Writing & Content work in your project
- SKILL.md covers 目标, 数据源优先级, 研究流程 and 输出
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Self Media Trend Radar is an agent skill from yanhua1010/self-media-content-workflow. 安全追踪热点、研究关键词和拆解竞品内容，并将结果转成原创选题和证据包。用于用户要求找热点、看趋势、分析爆款、研究竞品账号、拆标题或开头、比较内容结构、发现评论需求和判断时效窗口。只做公开信息研究和只读采集，不自动互动、发布或使用主账号登录态抓取竞品。
Its SKILL.md is about 250 tokens, which your agent loads only when the skill is triggered. The skill folder holds 4 other files, including reference files (for example `agents/openai.yaml` and `references/research-safety.md`).
It sits in Writing & Content. The repository describes itself as: 通用、模块化的自媒体内容生产与经营 Skills / A modular, tool-agnostic self-media content skill suite. The licence is MIT.
When your agent uses it
- Writing & Content work in your project
Example prompts
- “/self-media-trend-radar”
Workflow steps
5 steps, taken from the step headings in SKILL.md.
What it can do on your machine
Read from SKILL.md and the folder at commit 6cb1f1f. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
No scripts in the folder and no shell commands in SKILL.md.
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Self Media Trend Radar loads about 250 tokens when it runs, and up to ~561 if it reads all its reference files. Until then it costs about 37 tokens; SKILL.md has 62 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
Safety
Auto-check passed
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
SKILL.md
The full file from yanhua1010/self-media-content-workflow at commit 6cb1f1f, republished under its MIT licence (© yanhua1010). 62 words, ~250 tokens.
Download SKILL.mdSave it as
.claude/skills/self-media-trend-radar/SKILL.md (or your agent's skills folder). This skill also uses 2 other files; get the full folder from GitHub.- name
- self-media-trend-radar
- description
- 安全追踪热点、研究关键词和拆解竞品内容，并将结果转成原创选题和证据包。用于用户要求找热点、看趋势、分析爆款、研究竞品账号、拆标题或开头、比较内容结构、发现评论需求和判断时效窗口。只做公开信息研究和只读采集，不自动互动、发布或使用主账号登录态抓取竞品。
热点与竞品雷达
目标
识别用户需求、表达结构和时效机会，不复制竞品观点或文案。
数据源优先级
- 用户提供的链接、截图、导出文件和素材。
- 官方文档、原始发布、论文、公告和作者原帖。
- 平台公开搜索、热榜、竞品主页和公开互动数据。
- 可信二手资料，用于补充背景，不替代一手事实。
近期产品、人物、价格、版本、新闻和平台规则必须联网核验。技术事实优先使用官方来源。
研究流程
1. 定义研究问题
确认要回答的是热点窗口、关键词需求、竞品结构、账号定位还是内容机会。先限定平台、时间范围和样本数量。
2. 收集有限样本
只收集能回答问题的样本。记录链接、发布时间、标题、内容形态、公开互动和观察备注。不要把一次高表现直接叫作规律。
3. 拆解结构
逐条检查：
- 标题使用了什么承诺、身份、冲突或信息差。
- 开头 3 秒或第一屏如何建立停留。
- 内容如何组织证据、故事、步骤和转折。
- 封面或首图承担什么任务。
- 行动、标签、合集和发布时间如何配合目标。
- 评论区暴露了哪些真实问题和反对意见。
4. 判断机会
区分：
- 可以直接核验的事实。
- 多个样本重复出现的模式。
- 可能由热点、投流或账号体量造成的现象。
- 用户能加入的一手经验、反证和独立判断。
5. 转成原创选题
每个候选写明：一句话判断、目标受众、时效窗口、一手证据、差异化角度、适合平台、仍缺证据和风险。
输出
交付：
- 研究范围和样本说明。
- 3 到 5 条结构性发现。
- 不能下结论的内容。
- 3 到 5 个原创选题。
- 最推荐选题和下一步验证动作。
读取 research-safety.md 并遵守账号隔离、只读、控频、遇阻即停和凭证保护规则。
© yanhua1010, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
SKILL.md and 2 other files (references) in skills/self-media-trend-radar of yanhua1010/self-media-content-workflow.
- SKILL.md
- agents/openai.yaml
- references/research-safety.md
Open the folder on GitHubat commit 6cb1f1f
Compare with similar skills
Self Media Trend Radar next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Self Media Trend Radar this skillyanhua1010/self-media-content-workflow | 576 | — | ~250 | Automated safety check: Pass | MIT | |
| Socialcoreyhaines31/marketingskills | 54k | 4 repos | ~4.5k | Automated safety check: Pass | MIT | |
| HumanizerAzure-Samples/interview-coach-agent-framework | 173 | 38 repos | ~5.8k | Automated safety check: Pass | MIT | |
| Avoid AI Writingconorbronsdon/avoid-ai-writing | 4.9k | 3 repos | ~8.1k | Automated safety check: Pass | MIT | |
| JavaScript Concept Fact Checkerleonardomso/33-js-concepts | 67k | 1 repos | ~5k | Automated safety check: Pass | MIT | |
| User-Facing Text Cleanupguillaumemeyer/watermarks-remover | 24k | — | ~3.5k | Automated safety check: Pass | MIT |
Similar skills
- Official
Humanizer
Azure-Samples/interview-coach-agent-framework
Remove signs of AI-generated writing from text. An agent skill from Azure-Samples/interview-coach-agent-framework.
Avoid AI Writing
conorbronsdon/avoid-ai-writing
Audit and rewrite content to remove AI writing patterns ("AI-isms").
JavaScript Concept Fact Checker
leonardomso/33-js-concepts
Verifies the technical accuracy of JavaScript concept pages by checking code examples, MDN and ECMAScript claims and external links through a five-phase method.
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Audits prose for invisible Unicode characters and rewrites it while keeping facts, citations, code and required disclosures unchanged and the writer's voice intact.
Install Anti Slop
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Install and configure the anti-slop Oxlint plugin in a local TypeScript or JavaScript repository.
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Related
Categories
Questions about Self Media Trend Radar
What does Self Media Trend Radar do?
安全追踪热点、研究关键词和拆解竞品内容，并将结果转成原创选题和证据包。用于用户要求找热点、看趋势、分析爆款、研究竞品账号、拆标题或开头、比较内容结构、发现评论需求和判断时效窗口。只做公开信息研究和只读采集，不自动互动、发布或使用主账号登录态抓取竞品。. Self Media Trend Radar is an agent skill from yanhua1010/self-media-content-workflow.
When should I use Self Media Trend Radar?
Self Media Trend Radar fits situations like: writing & Content work in your project.
How do I install Self Media Trend Radar in Claude Code?
Run `npx skills add yanhua1010/self-media-content-workflow --skill self-media-trend-radar -a claude-code`. Or copy the skill folder (skills/self-media-trend-radar in yanhua1010/self-media-content-workflow) into .claude/skills/self-media-trend-radar in your project. Claude Code loads it when a task matches its description.
How do I install Self Media Trend Radar in Codex?
Run `npx skills add yanhua1010/self-media-content-workflow --skill self-media-trend-radar -a codex`. Or copy the skill folder (skills/self-media-trend-radar in yanhua1010/self-media-content-workflow) into .agents/skills/self-media-trend-radar in your project. Codex loads it when a task matches its description.
Can I use Self Media Trend Radar in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add yanhua1010/self-media-content-workflow --skill self-media-trend-radar -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/self-media-trend-radar, .gemini/skills/self-media-trend-radar, .github/skills/self-media-trend-radar and .opencode/skills/self-media-trend-radar in your project.
What does Self Media Trend Radar need to run?
SKILL.md names no scripts, command-line tools or credentials: Self Media Trend Radar is instructions for the agent only.
Does Self Media Trend Radar access the network?
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Is Self Media Trend Radar safe to install?
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
What licence does Self Media Trend Radar use?
Self Media Trend Radar is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Self Media Trend Radar use?
About 250 tokens (SKILL.md is roughly 1k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 311 tokens, read only when the agent opens those files.
What are the alternatives to Self Media Trend Radar?
Skills that share tags, products or a category with Self Media Trend Radar: Social (coreyhaines31/marketingskills, 54k stars), Humanizer (Azure-Samples/interview-coach-agent-framework, 173 stars), Avoid AI Writing (conorbronsdon/avoid-ai-writing, 4.9k stars) and JavaScript Concept Fact Checker (leonardomso/33-js-concepts, 67k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Self Media Trend Radar?
yanhua1010 (a GitHub user) maintains it in yanhua1010/self-media-content-workflow, which has 576 GitHub stars. The repository holds 10 skills in this directory. The repository was last updated on October 11, 2026.
Source: yanhua1010/self-media-content-workflow on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.