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Comment To Content Recycler
by
LeroyCreates
· GitHub ↗
· v1.0.3
· MIT-0
337
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0
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4
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Install in OpenClaw
/install comment-to-content-recycler
Description
Transform comments, DMs, and FAQ threads into prioritized content ideas and script-ready angles. Use when the user wants audience-driven topics, needs repeat...
README (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
Copyright (c) 2026 Razestar.
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.
Usage Guidance
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.
Capability Analysis
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.
Capability Assessment
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.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install comment-to-content-recycler - After installation, invoke the skill by name or use
/comment-to-content-recycler - Provide required inputs per the skill's parameter spec and get structured output
Version History
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.
Metadata
Frequently Asked Questions
What is Comment To Content Recycler?
Transform comments, DMs, and FAQ threads into prioritized content ideas and script-ready angles. Use when the user wants audience-driven topics, needs repeat... It is an AI Agent Skill for Claude Code / OpenClaw, with 337 downloads so far.
How do I install Comment To Content Recycler?
Run "/install comment-to-content-recycler" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Comment To Content Recycler free?
Yes, Comment To Content Recycler is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does Comment To Content Recycler support?
Comment To Content Recycler is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Comment To Content Recycler?
It is built and maintained by LeroyCreates (@leooooooow); the current version is v1.0.3.
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