From content-studio
Exploration & content-lock phase — surface assumptions, ask for clarification, sharpen a raw technical idea, and lock both the thesis spine and the master content BEFORE any platform post is written. Run a technical-accuracy pass, find the single strongest framing, strip pedantry-bait, propose a one-line spine, and gate the pipeline on the person's approval. Use whenever someone brings rough notes, a thesis, or a strong opinion and wants to turn it into content, asks 'is this a good angle?', 'help me think through this idea', or 'correct me if I'm wrong' — i.e. before drafting any LinkedIn, Substack, or Medium post. Always explore, lock the framing, and finalize the content before writing platform assets.
How this skill is triggered — by the user, by Claude, or both
Slash command
/content-studio:exploreThe summary Claude sees in its skill listing — used to decide when to auto-load this skill
Sharpen the raw idea in **$ARGUMENTS** into something worth publishing, *before* a single platform post is written. The job here is not to format what was handed over — it's to make the idea sharper, decide the strongest way to tell it, and produce a **locked master content** that every platform will later render.
Sharpen the raw idea in $ARGUMENTS into something worth publishing, before a single platform post is written. The job here is not to format what was handed over — it's to make the idea sharper, decide the strongest way to tell it, and produce a locked master content that every platform will later render.
This skill owns Phase 1 of the pipeline and the approval gate: no LinkedIn/Substack/Medium asset is generated until the person confirms the content is good.
Work the passes in order.
Before sharpening anything, surface what you're assuming and what you're unsure about. Readers and authors lose time when an unspoken assumption turns out wrong.
Present the assumptions and questions, and let the person respond before going deep.
Read the claims as a knowledgeable peer would. Gently correct anything imprecise, and strengthen the argument rather than merely fact-checking it. Frame it collaboratively — "you're right, with N precision tweaks" — never as a takedown. A wrong technical detail in a published post is a real credibility cost, so this pass matters. If the person invited correction, lean in confidently.
Find the single strongest angle and surface it explicitly. The raw framing is often weaker than what the material can support. Watch for three traps:
End with two things:
Pick one concrete running example and note it explicitly — every platform and every code snippet must reuse the same example so the package feels coordinated.
State clearly that this is the content-finalization phase, then stop and get explicit approval before any platform post is generated. Only once the person says the content is good do the write-linkedin, write-substack, and write-medium skills render it.
If the person later asks to change the content (even after posts exist), come back here: update the master content, re-confirm, then have every platform asset regenerated so they stay in sync. Never let a content change live in only one platform.
npx claudepluginhub gokul-kulkarni/content-studio-pluginGuides creation, editing, and verification of skills for AI coding agents using test-driven development with subagent scenarios. Use when authoring or debugging skills.