Content topic-planning agent. Generates structured topic briefs from knowledge-base updates, competitor signals, the content calendar, and performance data. Does topic judgment and brief output only — not content creation.
编程
tcms-adapter
试用Channel-adaptation agent. Adapts a reviewed core draft into channel-specific publish-ready versions. Supports: official-account version, developer-community version, Chinese social post, English X post, LinkedIn summary, sales one-pager. Also generates re-promotion material for existing content.
它能做什么
Channel-adaptation agent. Adapts a reviewed core draft into channel-specific publish-ready versions. Supports: official-account version, developer-community version, Chinese social post, English X post, LinkedIn summary, sales one-pager. Also generates re-promotion material for existing content.
技能文档
Content Adapter
Adapts a reviewed core draft (or published article) into the channel-specific versions needed for publishing. Does not create from scratch — that is content-writer's job.
Two modes
Mode A: multi-channel adaptation of new content
Input: core draft from content-writer
Output: adapted versions for specified channels
Mode B: re-promotion of existing content Input: URL or local file of a published article Output: lightweight material such as social posts, opinion summaries, data-point extractions
Mode B steps:
- [deterministic] read the published article
- [LLM] extract 3 shareable information points (hardest data / sharpest opinion / most vivid scenario)
- [LLM] generate material per target channel
- [LLM] self-check (data consistent with original / product-name规范 / no sensitive info)
- [deterministic] output to
content/adapted/repurpose/
Step 1: Confirm input and target channels [deterministic]
- Confirm the core-draft path (or published-article URL)
- Confirm the list of channels to adapt to
- Read the core-draft content
When no channel is specified, default to the full set: official-account version / community version / Chinese social post ×2 / English X post ×1 / sales one-pager (only when case or hard data is present)
Step 2: Read channel specs [deterministic]
Read the relevant channel-spec files on demand (references/channel-specs/ directory), and read the brand guidelines (reuse content-writer's brand-rules.md).
Step 3: Adaptation generation [LLM]
Each channel version is generated independently, with no dependency between them:
Official-account version
- Rewrite based on the core draft; reduce technical detail, add scenario description
- Scenario hook at the opening, fixed brand closing at the end
- 1500-2500 words
Developer-community version (deterministic fine-tune)
- When the core draft is already in tech-blog style → use the core draft directly
- Only minor formatting tweaks; may append further-reading links at the end
- Not treated as a separate LLM task
Chinese social post
- Extract 1 most impactful data point or scenario
- hook + core message + topic hashtags, under 300 words
- Produce 2 posts from different angles per core draft
English X post
- Thread format (3-5 posts) or single post
- Written with English thinking, not translated from Chinese
- Keep technical terms in original; each post ≤280 characters
LinkedIn summary
- For management audience, leans business value
- 200-300 words, professional formal tone
Sales one-pager
- Generated only when containing customer case or hard data
- Customer challenge → solution → effect data → applicable scenario, ≤400 words
Step 4: Self-check [LLM]
- Word-count limit
- Key data points preserved (no omission, no fabrication)
- Product-name规范
- Customer-name redaction carried through
- English version avoids Chinglish
Step 5: Output [deterministic]
content/adapted/
├── YYYY-MM-{topic}-wechat.md
├── YYYY-MM-{topic}-community.md
├── YYYY-MM-{topic}-social-cn-1.md
├── YYYY-MM-{topic}-social-cn-2.md
├── YYYY-MM-{topic}-x-en.md
├── YYYY-MM-{topic}-linkedin.md (if needed)
└── YYYY-MM-{topic}-one-pager.md (if needed)
Execution summary:
## Execution summary
- Core draft: [filename] ([word count] words)
- Generated: official-account ([words]) / Chinese social ×2 / English X ×1 / ...
- Not generated: [channel] (reason)
- Data-point preservation check: [N] all preserved / [M] excluded due to word limit
Hard rules
- Don't fabricate data. Data in adapted versions must come from the core draft.
- Don't change the core judgment. Simplify yes, change conclusions no.
- Consistent product names. All versions use the official names in
brand-rules.md. - Carry through customer redaction. Redacted in the core draft stays redacted in all versions.
- Don't cross-reference other drafts. Use only information from the current core draft.
- English quality. Prefer short and accurate over verbose and stiff. Mark uncertain parts [needs confirmation].
Failure handling
| Scenario | Handling |
|---|---|
| Core draft under 500 words | prompt "too little content, suggest supplementing first" |
| Core draft has no data points | mark "no hard data, suggest publishing from an opinion angle" |
| Core draft contains unredacted customer name | auto-redact and warn |
| Channel-spec file missing | generate with a generic format |
⚠️ Human-in-the-loop
- Mode A: official-account and LinkedIn versions go through L1-L2 approval before publishing
- Mode B: social posts go through L1 light review before publishing
- English versions marked [needs confirmation] need human proofreading before publishing
中文摘要
Content Adapter 把已审核的核心稿(或已发布文章)适配为各渠道发布版本,不负责从零创作。支持公众号版、开发者社区版、中文社交帖、英文 X 帖、LinkedIn 摘要、销售一页纸,以及存量内容二次推广物料。硬性规则:不编造数据、不改变核心判断、产品名一致、客户脱敏延续、跨稿不互引、英文宁可简短准确。
相关技能
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