Wechat Official Account Strategist
sickn33/agentic-awesome-skills
Grow WeChat Official Accounts (微信公众号) with high-conversion content strategy, title formulas, article architecture, and Mini-Program integration.
编排中文微信公众号文章。两条入口：用户成稿只排版推草稿（去 AI 味可关，不卡字数）；或给主题由 AI 写（去 AI 味强制开）。可降级配图、封面、随机主题，写入指定账号草稿箱。默认不扫热点、不公开发布。
Install Wechat Content Pipeline
$ npx skills add 843645440/wechat-skill --skill wechat-content-pipeline -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install 843645440/wechat-skill wechat-content-pipeline --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/843645440/wechat-skill.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.agents/skills/wechat-content-pipeline .claude/skills/wechat-content-pipeline && 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 "wechat-content-pipeline" agent skill from https://github.com/843645440/wechat-skill/tree/release/.agents/skills/wechat-content-pipeline into .claude/skills/wechat-content-pipeline/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "wechat-content-pipeline", 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/843645440/wechat-skill/tree/release/.agents/skills/wechat-content-pipelineType 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 843645440/wechat-skill --skill wechat-content-pipeline -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install 843645440/wechat-skill wechat-content-pipeline --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/843645440/wechat-skill.git skills-src && mkdir -p .agents/skills && cp -r skills-src/.agents/skills/wechat-content-pipeline .agents/skills/wechat-content-pipeline && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "wechat-content-pipeline" agent skill from https://github.com/843645440/wechat-skill/tree/release/.agents/skills/wechat-content-pipeline into .agents/skills/wechat-content-pipeline/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "wechat-content-pipeline", 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 843645440/wechat-skill --skill wechat-content-pipeline -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install 843645440/wechat-skill wechat-content-pipeline --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/843645440/wechat-skill.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/.agents/skills/wechat-content-pipeline .cursor/skills/wechat-content-pipeline && 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 "wechat-content-pipeline" agent skill from https://github.com/843645440/wechat-skill/tree/release/.agents/skills/wechat-content-pipeline into .cursor/skills/wechat-content-pipeline/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "wechat-content-pipeline", 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/843645440/wechat-skill.git --path .agents/skills/wechat-content-pipeline--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 843645440/wechat-skill --skill wechat-content-pipeline -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install 843645440/wechat-skill wechat-content-pipeline --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/843645440/wechat-skill.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/.agents/skills/wechat-content-pipeline .gemini/skills/wechat-content-pipeline && 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 "wechat-content-pipeline" agent skill from https://github.com/843645440/wechat-skill/tree/release/.agents/skills/wechat-content-pipeline into .gemini/skills/wechat-content-pipeline/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "wechat-content-pipeline", 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 843645440/wechat-skill wechat-content-pipelineInstalls 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 843645440/wechat-skill --skill wechat-content-pipeline -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/843645440/wechat-skill.git skills-src && mkdir -p .github/skills && cp -r skills-src/.agents/skills/wechat-content-pipeline .github/skills/wechat-content-pipeline && 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 "wechat-content-pipeline" agent skill from https://github.com/843645440/wechat-skill/tree/release/.agents/skills/wechat-content-pipeline into .github/skills/wechat-content-pipeline/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "wechat-content-pipeline", 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 843645440/wechat-skill --skill wechat-content-pipeline -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install 843645440/wechat-skill wechat-content-pipeline --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/843645440/wechat-skill.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/.agents/skills/wechat-content-pipeline .opencode/skills/wechat-content-pipeline && 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 "wechat-content-pipeline" agent skill from https://github.com/843645440/wechat-skill/tree/release/.agents/skills/wechat-content-pipeline into .opencode/skills/wechat-content-pipeline/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "wechat-content-pipeline", 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
wechat-content-pipeline- GitHub stars
- 109
- Token cost
- ~1.3k tokens
- SKILL.md length
- 211 words
- Files
- 19 (incl. scripts, references)
- Skills in repo
- 9
- Repo updated
- First seen
- Licence
- Custom licence
At a glance
编排中文微信公众号文章。两条入口：用户成稿只排版推草稿（去 AI 味可关，不卡字数）；或给主题由 AI 写（去 AI 味强制开）。可降级配图、封面、随机主题，写入指定账号草稿箱。默认不扫热点、不公开发布。
- Works in 4 steps: job.json.state == drafted； → stages.draft.status == completed； → draft-result.json 的账号、action ==… → …
- Tasks that involve Messaging and chat bots
- SKILL.md covers 边界, 执行原则, 固定命令链 and 三道门禁, plus 2 more sections
- Runs Python scripts from its folder; calls python3
What it does
Wechat Content Pipeline is an agent skill from 843645440/wechat-skill. 编排中文微信公众号文章。两条入口：用户成稿只排版推草稿（去 AI 味可关，不卡字数）；或给主题由 AI 写（去 AI 味强制开）。可降级配图、封面、随机主题，写入指定账号草稿箱。默认不扫热点、不公开发布。
Its SKILL.md is about 1.3k tokens, which your agent loads only when the skill is triggered. The skill folder holds 21 other files, including scripts and reference files (for example `agents/openai.yaml`, `references/account-profiles.md` and `references/ai-cover-generation.md`).
It sits in Productivity & Automation, covering Messaging and chat bots. It works with WeChat. The repository describes itself as: 微信公众号内容 Skill 工具包：热点发现、科技写作、去 AI 味、配图、排版、多账号草稿与工作流编排。
When your agent uses it
- Tasks that involve Messaging and chat bots
Example prompts
- “/wechat-content-pipeline”
Requirements
- Python 3
Workflow steps
4 steps, taken from the first numbered list in SKILL.md.
- job.json.state == drafted；
- stages.draft.status == completed；
- draft-result.json 的账号、action == draft、run_id 一致；
- draft_media_id 非空且不是测试占位符。
What it can do on your machine
Read from SKILL.md and the folder at commit 8ae1abe. 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
Ships 8 files in scripts/ (Python, from the files we listed), which the agent can run.
Shell commands in SKILL.md call:
python3
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
Wechat Content Pipeline loads about 1.3k tokens when it runs, and up to ~7.6k if it reads all its reference files. Until then it costs about 32 tokens; SKILL.md has 211 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); the scripts in this folder are not scanned.
SKILL.md
Its licence (Custom licence) doesn't allow us to republish the file, so here is its outline and opening line. It has 211 words (~1,257 tokens).
- name
- wechat-content-pipeline
Files
SKILL.md and 18 other files (scripts, references) in .agents/skills/wechat-content-pipeline of 843645440/wechat-skill.
- SKILL.md
- agents/openai.yaml
- references/account-profiles.md
- references/ai-cover-generation.md
- references/artifact-contract.md
- references/humanize-pass.md
- references/pipeline-failure-triage.md
- references/structure-rotation.md
- references/usage-modes.md
- references/user-brief.md
- scripts/_stage_record.py
- scripts/build_inline_visuals.py
- scripts/gen_cover_image.py
- scripts/gen_inline_images.py
- scripts/pipeline_job.py
- scripts/pipeline_runtime.py
- scripts/render_article.py
- scripts/render_cover_fallback.py
- … and 1 more
Open the folder on GitHubat commit 8ae1abe
Compare with similar skills
Wechat Content Pipeline 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 |
|---|---|---|---|---|---|---|
| Wechat Content Pipeline this skill843645440/wechat-skill | 109 | — | ~1.3k | Automated safety check: Pass | Custom licence | |
| Wechat Official Account Strategistsickn33/agentic-awesome-skills | 47k | 1 repos | ~1.2k | Automated safety check: Pass | MIT | |
| Content CollectorvigorX777/content-collector-skill | 240 | — | ~2k | Automated safety check: Pass | None | |
| WeChat Article Publisheriamzifei/wechat-article-publisher-skill | 157 | — | ~2.6k | Automated safety check: Notes | MIT | |
| WeChat Article Compliance Revieweraiworkskills/wechat-article-skills | 672 | — | ~1.5k | Automated safety check: Pass | Apache-2.0 | |
| She Love Me863401402/she-love-me | 931 | 1 repos | ~1.3k | Automated safety check: Pass | MIT |
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Related
Works with
Questions about Wechat Content Pipeline
What does Wechat Content Pipeline do?
编排中文微信公众号文章。两条入口：用户成稿只排版推草稿（去 AI 味可关，不卡字数）；或给主题由 AI 写（去 AI 味强制开）。可降级配图、封面、随机主题，写入指定账号草稿箱。默认不扫热点、不公开发布。. Wechat Content Pipeline is an agent skill from 843645440/wechat-skill.
When should I use Wechat Content Pipeline?
Wechat Content Pipeline fits situations like: tasks that involve Messaging and chat bots.
How do I install Wechat Content Pipeline in Claude Code?
Run `npx skills add 843645440/wechat-skill --skill wechat-content-pipeline -a claude-code`. Or copy the skill folder (.agents/skills/wechat-content-pipeline in 843645440/wechat-skill) into .claude/skills/wechat-content-pipeline in your project. Claude Code loads it when a task matches its description.
How do I install Wechat Content Pipeline in Codex?
Run `npx skills add 843645440/wechat-skill --skill wechat-content-pipeline -a codex`. Or copy the skill folder (.agents/skills/wechat-content-pipeline in 843645440/wechat-skill) into .agents/skills/wechat-content-pipeline in your project. Codex loads it when a task matches its description.
Can I use Wechat Content Pipeline 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 843645440/wechat-skill --skill wechat-content-pipeline -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/wechat-content-pipeline, .gemini/skills/wechat-content-pipeline, .github/skills/wechat-content-pipeline and .opencode/skills/wechat-content-pipeline in your project.
What does Wechat Content Pipeline need to run?
Going by SKILL.md and its folder, Wechat Content Pipeline needs Python for the scripts in its folder and the command-line tools its instructions call (python3). Our summary lists: Python 3.
Does Wechat Content Pipeline 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 Wechat Content Pipeline 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. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.
What licence does Wechat Content Pipeline use?
Wechat Content Pipeline has a licence file (the repository's licence) that doesn't match a standard licence. Read it on GitHub before reusing the skill.
How many tokens does Wechat Content Pipeline use?
About 1.3k tokens (SKILL.md is roughly 5k 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 6.3k tokens, read only when the agent opens those files.
What are the alternatives to Wechat Content Pipeline?
Skills that share tags, products or a category with Wechat Content Pipeline: Wechat Official Account Strategist (sickn33/agentic-awesome-skills, 47k stars), Content Collector (vigorX777/content-collector-skill, 240 stars), WeChat Article Publisher (iamzifei/wechat-article-publisher-skill, 157 stars) and WeChat Article Compliance Reviewer (aiworkskills/wechat-article-skills, 672 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Wechat Content Pipeline?
843645440 (a GitHub user) maintains it in 843645440/wechat-skill, which has 109 GitHub stars. The repository holds 9 skills in this directory. The repository was last updated on September 14, 2026.
Source: 843645440/wechat-skill on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.