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Comment To Content Recycler

Name: Comment To Content Recycler
Author: leooooooow

作者 LeroyCreates · GitHub ↗ · v1.0.3 · MIT-0

cross-platform ⚠ suspicious

337

总下载

当前安装

版本数

在 OpenClaw 中安装

/install comment-to-content-recycler

功能描述

Transform comments, DMs, and FAQ threads into prioritized content ideas and script-ready angles. Use when the user wants audience-driven topics, needs repeat...

使用说明 (SKILL.md)

Comment To Content Recycler

Skill Card

Category: Market Intelligence
Core problem: How to convert comments/DMs into content pipeline?
Best for: Always-on content ideation
Expected input: Comments, DMs, objections, FAQ snippets
Expected output: Intent clusters + prioritized content backlog
Creatop handoff: Send high-priority clusters into Creatop script queue

What this does

Convert audience questions into ranked, script-ready content topics.

Workflow

1) Ingest and clean input

Collect recent comments/DM/FAQ items (e.g., 7–30 days).

Normalize by:

removing duplicates
merging near-identical phrasing
preserving representative audience wording

2) Cluster by intent

Group into:

how-to
comparison
troubleshooting
buying concerns
objections/myths

3) Prioritize clusters

Score each cluster:

frequency
urgency
monetization relevance
ease of production

Rank clusters before writing outputs.

4) Generate content outputs

For top clusters, provide:

topic/title
3 hook options
short script angle
CTA tied to audience language

5) Close the loop

Add:

which comments to reply first
one follow-up question to collect better demand signals

Quality rules

Keep audience language intact where useful.
Avoid generic ideas disconnected from real comments.
Prioritize repeated pains with commercial relevance.

License

This skill is provided under CC BY-NC-SA 4.0 for non-commercial use. You may reuse and adapt it with attribution to Razestar, and share derivatives under the same license.

Commercial use requires a separate paid commercial license from Razestar. No trademark rights are granted.

安全使用建议

This skill appears to do what it says: cluster and prioritize audience comments into content ideas. Before installing or running it on real data, confirm two things with the skill author: (1) how the 'Creatop handoff' works and whether any API keys or endpoints are needed (the manifest lists none), and (2) how it expects you to provide comments/DMs (manual paste vs. platform integration). Be cautious about feeding private DMs or comments containing personal data — ask for details on privacy handling and whether the skill will transmit data to third parties. Also note the license: CC BY‑NC‑SA for non-commercial use only, so commercial use may require a paid license from Razestar.

功能分析

Type: OpenClaw Skill Name: comment-to-content-recycler Version: 1.0.3 The skill bundle is a purely instructional set for content ideation and audience analysis. It contains no executable code, shell commands, or network activity, and the instructions in SKILL.md and the template in references/intent-cluster-template.md are consistent with the stated purpose of organizing user-provided comments and DMs into content clusters.

能力评估

ℹ Purpose & Capability

The name and description (turn audience comments/DMs/FAQ into prioritized content) match the SKILL.md instructions. However the SKILL.md references a 'Creatop handoff' (sending high-priority clusters into a Creatop script queue) while the skill declares no required credentials, endpoints, or integration details for Creatop — an external integration is implied but not supported in the manifest.

⚠ Instruction Scope

Runtime instructions ask the agent to 'Collect recent comments/DM/FAQ items (e.g., 7–30 days)' but provide no guidance on source, access method, or required credentials. That ambiguity could lead an agent to expect access to private DMs or platform APIs without declared authorizations. The rest of the workflow (normalize, cluster, prioritize, generate outputs, suggest replies) stays within the stated purpose.

✓ Install Mechanism

This is an instruction-only skill with no install spec and no code files, so there is nothing written to disk or downloaded during install. That is the lowest-risk install model and aligns with the manifest.

⚠ Credentials

The manifest declares no required environment variables or credentials, yet the README mentions handing results off to an external service ('Creatop') and processing DMs/comments (which may require platform API keys). The lack of declared credentials is a proportionality mismatch. Also, instructions emphasize preserving audience language — which could include PII or sensitive info — but provide no guidance or safeguards for handling such data.

✓ Persistence & Privilege

The skill does not request persistent presence (always: false) and has no install scripts. It does not attempt to modify other skills or system-wide configs. Autonomous invocation is allowed by default but is not combined with other high-risk indicators here.

如何使用

确保已安装 OpenClaw（本地或 Docker 部署）
在对话框中输入安装命令：/install comment-to-content-recycler
安装完成后，直接呼叫该 Skill 的名称或使用 /comment-to-content-recycler 触发
根据 Skill 的参数说明提供必要输入，即可获得结构化输出

版本历史

v1.0.3

Add skill cards and standardized growth registry metadata

v1.0.2

Switch public terms to CC BY-NC-SA + commercial license

v1.0.1

Add AGPL-3.0 + commercial licensing notice

v1.0.0

- Initial release of comment-to-content-recycler skill. - Transforms audience comments, DMs, and FAQ threads into prioritized, script-ready content ideas. - Groups and ranks inputs by intent (how-to, comparison, troubleshooting, buying concerns, objections/myths). - Scores clusters based on frequency, urgency, monetization relevance, and ease of production. - Generates top content topics with hooks, angles, and tailored CTAs. - Suggests which comments to reply to first and provides a follow-up question for improved feedback.

元数据

Slug comment-to-content-recycler

版本 1.0.3

许可证 MIT-0

累计安装 1

当前安装数 1

历史版本数 4

常见问题