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Editor-first WeChat Official Account publishing skill. Posts content to WeChat Official Account (微信公众号) via API or browser, while prioritizing humanized writ...
Editor-first WeChat Official Account publishing skill. Posts content to WeChat Official Account (微信公众号) via API or browser, while prioritizing humanized writ...
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内容创作 clawhub v3.0.1 1 版本 99837.1 Key: 需要
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概述

WeChat Official Account Publishing Skill v3.0.0

Language

Always match the user's language. Chinese input → respond in Chinese. English input → respond in English.

Core Principle

This skill is an editor-first, self-improving publishing pipeline — not a raw uploader.

Priority order:

  1. Humanized writing quality
  2. WeChat compatibility
  3. Visual readability
  4. Publishing speed

Never sacrifice compatibility for fancy formatting. Never sacrifice readability for automation.


Quick Reference

ModeWhenKey flag
----------------------
StandardDefault
TurboContent already polished--turbo or turbo: true in frontmatter
RawSkip all editorial pass--raw
Image-textShort post with imagesauto-detected

Supported tones: 专业评论 · 行业快评 · 知识科普 · 观点专栏 · 深度分析 · 快讯播报

Reference files (load when needed):

  • references/fsm.md — Full FSM state table
  • references/quality-scoring.md — Scoring rubric details
  • references/editorial-rules.md — Humanization + formatting rules
  • references/config-reference.md — All EXTEND.md keys + full example
  • references/scripts.md — Script CLI reference
  • references/troubleshooting.md — Error levels + fix guide

FSM Workflow (Summary)

Load references/fsm.md for the complete state transition table.

State sequence:

idle
  → loading_config
    → resolving_account
      → classifying_input
        → [turbo?] editorial_pass_light / editorial_pass_full
          → metadata_validation
            → packaging_check
              → pre_publish_confirm (if enabled)
                → publishing
                  → reporting → idle

Key transition rules:

  • editorial_pass_full loops max 2 iterations if quality_score < threshold; then warn + continue
  • packaging_check auto-repairs what it can; halts only for missing cover (API mode)
  • publishing auto-retries on LEVEL 1 errors (max 2 retries); escalates on LEVEL 3+
  • Any state can transition to error_report on unrecoverable failure

Error Levels

LevelTypeBehavior
-----------------------
1Transient (token expiry, network blip)Auto-retry silently (max 2, wait 3–10s)
2Auto-repairable (missing summary, cover fallback, over-length)Repair + flag in confirmation
3Requires user action (credentials missing, empty content)Halt + exact setup guide
4Unrecoverable API errorLog + show error code + link to mp.weixin.qq.com

See references/troubleshooting.md for full repair paths.


Quality Scoring (Pre-publish)

Score is computed before pre_publish_confirm. Load references/quality-scoring.md for rubric.

DimensionMaxSignal
------------------------
opening_hook20First paragraph creates pull or tension
heading_quality15Reader-question style, not generic labels
paragraph_rhythm15Varied length, no mechanical same-beat paragraphs
ai_tone_density20Inverse: fewer blocked phrases = higher score
term_preservation10All protected_terms intact
ending_quality10Human close + CTA present
length_fit10Within default_article_length, not padded
Total100

Thresholds:

  • ≥ 70 → proceed normally
  • 60–69 → proceed with warning in confirmation
  • < 60 → another editorial pass (max 2 total)
  • < 50 → halt even in Turbo mode

Show score + brief per-dimension note in pre_publish_confirm.


Turbo Mode

Activated by --turbo flag or turbo: true in frontmatter.

Skips: deep humanization pass, pre-publish confirmation (auto-proceed), quality score display (only blocks if < 50)

Still runs: metadata resolution, packaging check (auto-repair), cover resolution, token cache check, publish, log

Use when content is already manually polished, or when batch-publishing multiple articles.


Editorial Pass (Standard)

Load references/editorial-rules.md for full humanization rules, AI-tone signal list, and formatting downgrade table.

Parallelizable side-computations (run while main humanization pass runs):

  • Slug generation (from title)
  • Tail keyword generation (from article topic)
  • Profile block inference (from account config)
  • Image count assessment (from article length)

Humanization strength:

  • light: minimal cleanup, preserve style
  • medium: default; improve rhythm, headings, opening, ending
  • strong: substantial rewrite while preserving meaning

Industry terminology protection: Never simplify or paraphrase protected_terms. These are load-bearing words for the target audience.


Image Handling

Count guidance by length:

Article lengthPreferred images
--------------------------------
< 800 chars2
800–1500 chars2–3
1500–2000 chars3 (optionally 4)
> 2000 charscompress content first, then reassess

Source resolution order:

  1. Inline images already in markdown / HTML
  2. imgs/ directory beside article file
  3. User-supplied via --images
  4. If insufficient: warn in confirmation, do not block publish

Metadata & Packaging

Metadata resolution (each field):

  • Title: CLI → frontmatter/H1 → strongest H2 → first meaningful sentence → auto-generate
  • Summary: CLI → frontmatter → first paragraph trimmed → auto-generate
  • Author: CLI → frontmatter → account default → global default

Packaging checklist (auto-repair if missing, unless --raw):

  • [ ] Length within default_article_length
  • [ ] 2–4 images (warn if under; do not block)
  • [ ] Long-tail keyword block (3–8 phrases, topic-specific)
  • [ ] Public-account profile block

Cover image resolution (API mode only):

  1. --cover → frontmatter cover fields → imgs/cover.png → first inline image → halt if still missing

Access Token Cache

Cache location (in priority order): amiao/.wechat-token-cache~/amiao/.wechat-token-cache

Behavior: read cache → verify expiry → refresh if expired/invalid → update cache. Failure to refresh = LEVEL 1 retry, then LEVEL 3 if persistent.


Publish Log + Auto-tune

Every successful publish appends one record to amiao/.publish-log.yaml:

- date: <ISO8601+08:00>
  account: <alias>
  article_title: <title>
  quality_score: <0-100>
  humanize_level: <light|medium|strong>
  tone: <tone>
  article_length: <chars>
  image_count: <n>
  publish_method: <api|browser>
  media_id: <id>
  issues_found: [<list of flags>]
  cta_type: <type>
  tail_keywords: [<list>]

Auto-tune (triggered after every 10th publish cycle):

  • Avg quality_score < 72 → suggest reviewing humanization defaults
  • Tail keywords repeat too uniformly → suggest refreshing default_tail_keywords
  • Article length consistently under/over → suggest adjusting default_article_length
  • One tone consistently scores higher → suggest making it default_tone

Report suggestions at end of 10th cycle. Never auto-apply; always surface to user.


Pre-publish Confirmation Summary

Show when confirm_before_publish: true (default), or when packaging was repaired, or when image count is below target.

───────────────────────────────────────
发布前确认 / Pre-publish Summary
───────────────────────────────────────
账号 Account   : [name]
方式 Method    : [api / browser]
主题 Theme     : [theme] [color]
编辑 Editorial : [humanize level] · [tone]

标题 Title     : [title]
摘要 Summary   : [summary]
字数 Length    : ~[N] 字
图片 Images    : [N] 张 [⚠ below target if applicable]
质量评分 Score : [N]/100  ([brief note if < 70])

封面 Cover     : [resolved / ⚠ missing]
长尾词 Keywords: ✓ present / ⚠ missing
账号介绍 Profile: ✓ present / ⚠ missing

[⚠ Any auto-repairs applied]
───────────────────────────────────────
确认发布?(y/n / 输入 e 返回编辑)

If confirm_before_publish: false and no warnings: skip confirmation, show summary inline in completion report instead.


Completion Report

✓ WeChat Publishing Complete!

Input    : [type] · [path]
Method   : [API / Browser]
Account  : [name]
Theme    : [theme] [color]
Editorial: [humanize] · [tone]

Article:
  Title   : [title]
  Summary : [summary]
  Images  : [N]
  Comments: [open/closed] · [fans-only/all]
  Score   : [N]/100

Result:
  ✓ Draft saved to WeChat Official Account
  media_id: [id]   (API mode)

Files:
  [• slug.md if created from plain text]

Next: https://mp.weixin.qq.com → 内容管理 → 草稿箱

Scripts

Load references/scripts.md for full CLI reference.

ScriptPurpose
-----------------
scripts/wechat-api.tsArticle via API
scripts/wechat-article.tsArticle via browser
scripts/wechat-browser.tsImage-text post
scripts/md-to-wechat.tsMarkdown → WeChat HTML
scripts/check-permissions.tsEnvironment preflight

Runtime: bunnpx -y bun → explain + suggest install

Critical: Publishing scripts handle markdown conversion internally. Never pre-convert markdown to HTML before calling the publish script.


Configuration

Load references/config-reference.md for all supported EXTEND.md keys and a full annotated example.

EXTEND.md location (checked in order):

amiao/amiao-post-to-wechat/EXTEND.md          # project-level
${XDG_CONFIG_HOME:-$HOME/.config}/amiao/amiao-post-to-wechat/EXTEND.md
$HOME/amiao/amiao-post-to-wechat/EXTEND.md    # user-level

If not found → run first-time setup (references/config/first-time-setup.md) before proceeding.

Value priority: CLI → frontmatter → EXTEND (account → global) → skill defaults


OpenClaw / ClawHub Rules

  • SKILL.md is the primary agent contract; keep it self-contained and readable
  • Relative paths assume scripts/references live beside this skill
  • No hard-coded machine-specific absolute paths
  • All defaults degrade gracefully when optional config is absent
  • Skill name, version, and metadata must stay clean for ClawHub distribution
  • Favor backward-compatible defaults on version updates

版本历史

共 1 个版本

  • v3.0.1 当前
    2026-03-20 02:18 安全 安全

安全检测

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腾讯云安全 (Sanbu)

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