Research To Wechat

A native research-first pipeline that turns a topic, notes, article, URL, or transcript into a sourced article with an evidence ledger, polished Markdown, inline visuals, cover image, WeChat-ready HTML, browser/API-ready draft assets, and optional multi-platform distribution. Use when the user wants 深度研究、改写成公众号、写作、排版、配图、HTML 转换、公众号草稿生成、多平台分发.

Use this skill as a native, research-first article system. It does not route execution to external skills.

Core Rules

• Match the user's language.
• Ask one question at a time.
• Ask only when the answer changes source interpretation, structure frame, style fidelity, or draft delivery behavior.
• Keep Markdown as the canonical article asset until the HTML handoff.
• Save a draft only. Never publish live.
• Separate verified fact, working inference, and open question.
• Every major claim must be traceable to a source.
• Every article must end with a "## 参考链接" or "## References" section listing all sources.
• Apply the full normalization checklist before HTML rendering.
• Every inline image must pass a two-tier evaluation: eliminate defects first, then verify content match.
• the renderer converts [text](url) into text (url) because WeChat forbids clickable links.
• Never pretend the workflow did interviews, long field research, team debate, or hands-on testing when it did not.
• Prefer visible disclosure of AI assistance and source scope.
• Treat source capture as a runtime boundary: preserve title, author, description, body text, and image list before rewriting.

Operating Paths

• Path A: research-first article use for: topic, keyword, question, notes, transcript, subtitle file goal: build the article from a research brief and evidence ledger

• Path B: source-to-WeChat edition use for: article text, markdown file, article URL, WeChat URL goal: preserve the useful source core, then rebuild it for WeChat reading and distribution

Default routing:

• procedural or tool-teaching material -> tutorial
• thesis, trend, strategy, critique, case material -> deep-analysis
• multi-topic roundup -> newsletter

Accepted Inputs

• keyword, topic phrase, or question
• notes, outline, or raw material dump
• article text
• markdown file
• PDF paper, report, or whitepaper
• article URL
• WeChat article URL
• video URL
• full transcript
• subtitle file that can be expanded into a full transcript

PDF policy:

• extract all figures, charts, tables, and diagrams as image assets
• save extracted figures to imgs/source-fig-*.png
• record captions and page numbers in source.md
• prefer source figures over generated visuals when they support the claim

Video policy:

• a video source is valid only when the workflow can obtain the full spoken transcript
• first attempt transcript recovery from the page, captions, or subtitle assets
• if no full transcript is obtainable, ask for the transcript or subtitle file and wait

Output

Create one workspace per article: research-to-wechat/YYYY-MM-DD-<slug>/

Required assets:

• source.md
• brief.md
• research.md
• article.md
• article-formatted.md
• article.html
• manifest.json
• imgs/cover.png
• inline illustration files referenced by the markdown body

Required frontmatter in final markdown:

• title
• author
• description
• digest
• coverImage
• styleMode
• sourceType
• structureFrame
• disclosure

manifest.json must capture:

• pathMode
• styleMode
• structureFrame
• sourceType
• confidence
• draftStatus
• output paths

manifest.json.outputs.wechat must include:

• markdown
• html
• cover_image
• title
• author
• digest
• images

Script Directory

Determine this SKILL.md directory as SKILL_DIR, then use ${SKILL_DIR}/scripts/<name>.

Script	Purpose
scripts/fetch_wechat_article.py	WeChat article fetch (mobile UA)
scripts/wechat_delivery.py	Native WeChat delivery entrypoint (check, design-catalog, render, upload-images, save-draft)
scripts/install-openclaw.sh	OpenClaw skill installer

Native Capability Contract

This skill executes every stage itself:

• source ingest via bundled fetch script, browser tools, and PDF inspection
• markdown polish via normalization rules in this skill
• inline visual planning and cover direction via native article analysis
• design catalog compile via python3 "${SKILL_DIR}/scripts/wechat_delivery.py" design-catalog
• WeChat HTML rendering via python3 "${SKILL_DIR}/scripts/wechat_delivery.py" render
• image upload via python3 "${SKILL_DIR}/scripts/wechat_delivery.py" upload-images
• draft save via python3 "${SKILL_DIR}/scripts/wechat_delivery.py" save-draft
• multi-platform distribution via native browser/API steps when Phase 8 is requested

Use the internal contract in capability-map.md.

Delivery Ladder

Resolve WeChat draft delivery in this order:

1. L0 official-http: WECHAT_APPID and WECHAT_SECRET are ready, so bundled scripts call the official media and draft APIs directly
2. L1 assisted-browser: only use a browser when the account setup or draft inspection needs human help
3. L2 manual-handoff: stop with exact file paths and required API fields when official delivery cannot proceed

Author Config (EXTEND.md)

The renderer reads an optional EXTEND.md for author-specific CTA content and preferences. This keeps the skill generic — CTA text, QR codes, and blog URLs belong to the author, not the skill.

Lookup order: project dir → ~/.config/research-to-wechat/ → ~/.research-to-wechat/

See author-config.md for the full format and field reference.

When EXTEND.md is present with a cta section, the renderer appends a styled CTA block after the article body. When absent, no CTA is rendered.

Style Resolution

Resolve style in this order:

1. explicit user instruction
2. preset mode
3. author mode
4. custom brief

Use the full style system in style-engine.md.

Visual rendering is decided by:

• styleMode
• structureFrame
• light or dark output mode

Execution

Run the article through these phases:

1. intake and route selection

2. source packet, brief, and strategic clarification

3. research architecture with structured question lattice

4. research merge and evidence ledger

5. frame-routed master draft with normalization checklist, writing self-check, and machine-verified Chinese de-AI scan (Phase 5 must not proceed without running these):

   bash

   # negation-contrast patterns (must be 0 hits)
   grep -n '不是.*而是\|不仅.*而且\|不只.*更\|不再.*而是\|已经不是' article-formatted.md
   # em-dash count (≤5 in body)
   grep -c '——' article-formatted.md
   # exclamation marks (must be 0)
   grep -c '！' article-formatted.md
   

6. 微信敏感词合规检查（⛔ 必须通过才能继续）：用 wechat-compliance-check 扫描 article-formatted.md，有命中则改写后重新扫描，直到零违规。

7. refinement, visual strategy, and image evaluation

   ⛔ Pre-delivery compliance gate (BLOCKING — must execute before Phase 8): Long sessions cause attention decay on early-loaded rules. Before proceeding to HTML rendering and draft save, you MUST:

   1. Re-read the project's AGENTS file (cat the file, do not rely on memory). For WeChat projects this is ../AGENTS-wechat.md or the path specified in AGENTS.md.
   2. Walk every rule in the AGENTS file line by line and verify the current article/HTML against it. Check file location, typography, HTML constraints, CTA, image rules — every single one.
   3. Output a checklist to the terminal with ✅/❌ per rule. Any ❌ must be fixed before continuing. This step exists because context-window attention decay will cause you to forget rules loaded at session start. Do not skip it. Do not check from memory.

8. native WeChat HTML rendering via wechat_delivery.py render, image upload, draft save, and manifest.

   Image upload rules:

   • If imgs/cdn-urls.json already exists from a previous upload, skip re-uploading unchanged images. Only upload new or modified files (compare filename + file size/mtime).
   • wechatqr.png (CTA QR code) must reuse the existing CDN URL from project-level images/wechatqr.png or a previous cdn-urls.json. Never re-upload the same QR code per article.
   • After upload, always merge new CDN URLs into the existing cdn-urls.json (not overwrite).

   Draft save rules:

   • If manifest.json already contains a media_id, pass --media-id to save-draft to update the existing draft. Never create a duplicate.
   • If a duplicate draft was accidentally created, delete it via API (draft/delete) immediately and keep only the original media_id.
   • manifest.json is the single source of truth for media_id.

   Before draft save, run HTML compliance check (must all pass):

   bash

   grep -c 'class=' article.html          # must be 0
   grep -c '<style' article.html          # must be 0
   grep -c '<a href' article.html         # must be 0
   # outermost <section> must have background
   python3 -c "import re;h=open('article.html').read();m=re.search(r'<section[^>]*>',h);print('OK' if m and 'background' in m.group() else 'FAIL')"
   

   Known issue: render collapses newlines inside <code> blocks. The renderer converts markdown fenced code blocks into single-line <code> content, stripping all \n characters. Multi-line code will display as one long line. Detection: python3 -c "import re;h=open('article.html').read();codes=[c for c in re.findall(r'<code>(.*?)</code>',h,re.DOTALL) if len(c)>80 and '<br' not in c];print(f'{len(codes)} collapsed code blocks' if codes else 'OK')" Fix: extract code blocks from the source markdown (which preserves newlines), HTML-escape them, replace \n with <br/>, and substitute back into the rendered HTML. WeChat ignores literal \n in HTML — only <br/> produces visible line breaks. When HTML-escaping code content, only escape &, <, >, and ". Do NOT escape single quotes (' → ') — WeChat renders the entity literally as ' instead of '. This must run after render and before save-draft.

   Known issue: render outputs <thead> without dark background. In dark mode, table headers render with browser-default white/transparent background, making header text invisible. Fix: add background:#1E293B (or the design's surface color) to <tr> and <th> inside <thead>. Also ensure <td> has explicit background matching the page background.

   Known issue: render duplicates ordered list numbering. Markdown 1. 2. 3. becomes <ol><li>1. text</li> — the <ol> auto-numbers AND the literal 1. prefix remains. Fix: strip the leading N. from each <li> content.

   Known issue: render keeps the H1/H2 title in the HTML body. WeChat article titles are set via the draft API title field, not in the HTML body. The renderer copies the markdown # title into an <h2>. Per WeChat typography rules, this must be removed. Fix: delete the <section> containing the <h2> that matches the draft title.

   Known issue: --upload-map may not replace all image paths. After rendering with --upload-map, verify that zero src="imgs/" local paths remain. If any survive, do a string replace pass in post-processing. Detection: grep -c 'src="imgs/' article.html must be 0.

   Known issue: reference link section has oversized letter-spacing on mobile. The body line-height:1.9 and font-size:15px cause long URLs in the reference section to spread out on mobile. Fix: override the reference section <p> tags with font-size:13px;line-height:1.6;word-break:break-all;text-align:left.

   File path rule: always follow the project's AGENTS file for output directory. This skill defaults to research-to-wechat/YYYY-MM-DD-<slug>/. If the project AGENTS specifies a different convention (e.g. YYYY-MM-DD-<slug>/ at project root), the project rule overrides this skill's default. Check the project AGENTS before creating the workspace directory.

9. optional multi-platform content generation and distribution

Phase 9 only executes when the user explicitly requests it.

Use the execution contract in execution-contract.md. Use the platform copy specs in platform-copy.md for Phase 8.

Done Condition

The skill is complete only when all of these hold:

• the article reads as researched before it reads as polished
• the route choice and structure frame fit the source instead of forcing one house style
• the chosen style is visible without collapsing into imitation
• the writing framework self-check for the chosen frame has been applied
• the evidence ledger clearly separates fact from interpretation
• every visual adds narrative or explanatory value
• the normalization checklist has been applied: no citation artifacts, no LaTeX, no broken tables, no scraped UI remnants
• every image placeholder was evaluated against placement criteria before generation
• every generated or selected image passed the two-tier quality check
• markdown and HTML agree on title, summary, cover, and image paths
• HTML contains zero class= attributes, zero <style> tags, zero <a href> links, and outermost <section> has explicit background
• manifest.json agrees with the actual output set and draft state
• the article does not overclaim research effort or authorship
• wechat-compliance-check returned zero violations on the final markdown
• the workflow can stop safely at the highest-quality completed artifact if a later handoff fails
• if Phase 8 was triggered, platform copies follow platform-copy.md and manifest includes their output entries