content-strategy

v1.0.0

When the user wants to plan a content strategy, decide what content to create, or figure out what topics to cover. Also use when the user mentions "content s...

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byAlireza Rezvani@alirezarezvani
MIT-0
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LicenseMIT-0 · Free to use, modify, and redistribute. No attribution required.
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Benign
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Benign
high confidence
Purpose & Capability
Name/description (content strategy, topic clusters, prioritization) align with the included materials: a detailed SKILL.md and a local Python topic-clustering script (topic_cluster_mapper.py) used to group keywords. Nothing required or present appears unrelated to content planning.
Instruction Scope
Runtime instructions are focused on gathering marketing/product context and user-provided artifacts (keyword exports, transcripts, surveys). The SKILL.md explicitly instructs the agent to read .claude/product-marketing-context.md if it exists — this is reasonable for a content strategist but means the skill will access a local workspace file for context. The proactive triggers may cause the agent to analyze existing content when present. There are no instructions to call external endpoints, exfiltrate data, or read arbitrary system files beyond the marketing context and user-supplied inputs.
Install Mechanism
This is instruction-only with no install spec or external downloads; a single helper Python script is included in the bundle. No installers or remote code fetches are present.
Credentials
The skill declares no required environment variables, no primary credential, and no config paths beyond .claude/product-marketing-context.md. This is proportionate for a content strategy skill.
Persistence & Privilege
always:false (default) and agent-autonomy is allowed (disable-model-invocation:false) which is the platform default and appropriate for this type of user-invocable skill. The skill does not request persistent system modifications or other skills' credentials.
Assessment
This skill appears coherent and limited to content strategy tasks. Before installing, note that it will: (1) read .claude/product-marketing-context.md if that file exists in the agent workspace (review that file for sensitive data you don't want shared), and (2) can analyze any keyword or transcript files you supply (so avoid pointing it at files containing unrelated secrets). The included Python script only clusters topics locally and does not perform network calls or request credentials. If you plan to let the agent run the script or invoke the skill autonomously, be comfortable with it accessing the named marketing context file and any user-provided input files.

Like a lobster shell, security has layers — review code before you run it.

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License

MIT-0
Free to use, modify, and redistribute. No attribution required.

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