| name | repurpose-talk |
| description | Use when you've delivered a talk and want to convert it into blog posts, social content, newsletter sections, and republishing pitches — or when you have presentation materials (slides, transcript, speaker notes) that could reach wider audiences. Produces multiple content pieces from a single talk. |
Before doing anything else:
- Check if
~/.devadvokit.md exists.
- If it does, read it silently and use it throughout this skill.
- If it does not, stop and tell the user: "I need your DevRel context before I can run this skill. Please run /setup-devadvokit first."
What NOT to Do
This skill produces outlines, angles, and frameworks — not full drafts. Specifically:
- No full blog posts — outlines only. Full drafts are scope creep and end up generic without heavy editing.
- No video scripts — that's a different skill.
- No SEO metadata — separate concern, different skill.
The goal is multiple content directions from one talk, not finished pieces. Editing produces the final versions.
Q&A
Ask these questions one at a time. Wait for each answer before asking the next.
-
What's the talk title and abstract? (Paste or type — this is required. If you only have a title and need help with an abstract, say so and I'll help you draft one.)
-
Do you have a script, speaker notes, or transcript? Paste it here or provide a file path. This allows me to ground outputs in your actual content rather than infering from the abstract alone. If you only have the abstract, I can still work with that.
-
Who's the target audience for the repurposed content, and what's their familiarity level? (Beginner / practitioner / expert — this affects depth and terminology)
-
What tone should the repurposed content have? (Technical and depth-focused? Conversational and approachable? Thought leadership and industry perspective?)
-
What conference or event was this presented at, and when? (This gives context and provides "as I presented at X" framing for the repurposed content)
Quality Gates (if transcript/notes provided)
If transcript or notes were provided, process them before generating outputs:
-
Pull 2–3 pull quotes — direct lines that work as standalone social copy. Memorable, quotable, out-of-context friendly.
-
Flag demo or live content — anything that won't translate to written formats. Note what needs adaptation or removal.
-
Note claims needing sources — assertions, data points, or claims requiring a source link before publishing.
If only the abstract was provided, skip this section and work from what you have.
Output
Produce all of the following once the Q&A is complete and quality gates (if applicable) have been processed.
1. Blog post outline
H2 structure with per-section notes (not the full draft). Each section has a brief note on what it covers and the key point it makes. Grounded in the actual talk content if transcript/notes were provided.
2. LinkedIn post angles (5 options)
Each with a different hook strategy:
- Personal story angle
- Hot take / contrarian angle
- Data or observation angle
- Question angle (sparks discussion)
- How-to angle (practical takeaway)
Each angle should be distinct in tone and approach. Include a brief note on why this angle works for this content.
3. Tweet thread starters (3 options)
Opening tweet only, with a brief note on thread direction. Each starter should lead in a different way — anecdote, provocative statement, practical tip, etc.
4. Newsletter section
150–200 words, designed to slot into an existing newsletter. Includes a hook, key insight from the talk, and a link/call to action. Written in newsletter voice (conversational, direct).
5. Cold pitch paragraph
One paragraph (4–6 sentences) for republishing on a third-party publication. Includes the pitch angle, why it fits that publication's audience, and a brief credibility anchor. Grounded in the conference context ("As presented at X...").
Content Library Check
Scan the content library in ~/.devadvokit.md. If any existing content covers similar ground:
"This overlaps with [title] ([year]) — consider cross-linking or positioning as an update / deeper dive."
If nothing overlaps, omit this section entirely.
Before presenting any output, read ../../shared/ai-antipatterns.md and silently rewrite any flagged patterns. Do not mention this step to the user.
