Pipeline Hub

workflow-copy-research

Research-to-script workflow for Dawn VIDEO formats (song, spoken drama, podcast, courtroom, whistleblower, street interview, timeline, rated solutions, mascot explainer, skit): an on-demand VOC pull mid-brief into two grep-verified tables (ICP/persona + offering, every row a verbatim quote + source + date), 3 sourced hooks per concept, then the script in one of four modes (narrator beat sheet, two-person dialogue/banter, song lyrics with the versioned red-team method, or the long-form free-value explainer skeleton), ending in logic pass, Opus red-team, fix and re-check.

Lane: copy (feeds every format-* pack) · not built yet: 5 (see below) · source: /Users/ayden/.openclaw/workspace/skills/workflow-copy-research

SKILL.mdprocedure.mdsources.mdEvals (6)Learnings (9)

workflow-copy-research — sources

davidaistar videos (method only; models in them are dated, roles map via _MODEL-REGISTRY.md)

Video What he does Kept Changed / not adopted
_Y7KFZHxMe0 (analysis/gemini__Y7KFZHxMe0.md), primary for this lane One prompt to a Claude "research skill": Reddit/IG/FB → two fixed tables, ICP Research (persona, problem-as-belief, angle, verbatim, URL) and Offering Analysis (feature → benefit → desire → need/pain/struggle, quote + source); then a reference ad decoded beat by beat; then the script from tables + decode in one prompt The two tables as the output contract; persona = one core problem; verbatim + source per row; context stacking (tables + reference decode feed the script) His rows carry URL only. Ours add date, tier, emotion, verifier hits and a 10-row spot-check (diff_copy row 2 says ours is a superset). Angles still come from the atlas first; his feature→desire pass is the explore-phase fallback (diff_copy row 3)
pYNC49BHsHQ (analysis/gemini_pYNC49BHsHQ.md, txt/pYNC49BHsHQ.txt) 6-part skeleton for long-form educational videos: Hook → Problem/Villain → Free Value (largest; drives saves and shares) → Product Plug with one reason-to-believe (cost vs time, worth A/B) → Scarcity CTA → Engagement CTA (comment for the link) Skeleton order; free value as the biggest section; one RTB per ad as the test variable; engagement CTA as a question Scarcity only through our truth gate (his "small brand blowing up, grab it fast" is invented supply pressure: diff_copy §2); villain = an approach/belief, never a competitor brand; comment-for-link needs a responder we don't have; delivered by a character (no-character VO lost)
GIczkree_W0 (analysis/gemini_GIczkree_W0.md) Podcast script from Reddit phrasing: casual hook → pivot to pain → education/pitch with risk reversal; "80 % of realism is the script"; all of one speaker's lines in one generation Script-before-pictures rule; Reddit phrasing as the source of natural cadence Production half (per-speaker takes, crop, word patching) lives in format-podcast
8NzJJ3e7uZ4 (analysis/gemini_8NzJJ3e7uZ4.md) One-off lyric prompt: hook on a scary object, agitation, daily-habit pivot, rhymed ingredient list Nothing new for copy Ours is deeper: versioned drafts + QA + logic pass + Opus red-team + re-check (diff_copy row 8). Promoted here from the dated 10-04 folder (diff_copy top-5 #5)
Rf1uHxSWpjU (analysis/gemini_Rf1uHxSWpjU.md) Pull a winning transcript, have an LLM adapt it with new USPs; hooks lean on high-emotion visuals Hook emotion can live in the visual (Evolve §8 agrees) Transcript adaptation of a competitor = mirroring (corrections 10-05); we decode structure, then write from our VOC
gpzy2ofG0Dw (analysis/gemini_gpzy2ofG0Dw.md) Challenge hook ("Can X do Y in Z time?") → time jump → proof; Gemini per-second breakdown of the winner before prompting Challenge framing for hook (c), "the test"; reference decode before writing Decode tool is ours: scripts/ad_dissector.py (built 10-06, diff_copy top-5 #3)

analysis/diff_copy.md rows → where they land

Diff item Priority Here
On-demand research pull mid-brief P1 SKILL §5 steps 2-4, procedure §1-3 (manual; research_pull.py NOT BUILT)
Two-table output format P2 (ours superset) procedure §2 with spot-check footer made standard
Reference decode tool P1 scripts/ad_dissector.py (built) in step 5
Script output contract fields (awareness, sophistication, desires) P2 brief.md + Evolve §0 answers
Free-value skeleton P1 procedure §6 (formats.md sub-mode NOT BUILT, Fish's go)
Podcast/dialogue doctrine P1 procedure §5 (shared by podcast, spoken drama, courtroom; formats.md sub-mode NOT BUILT)
Song lyric method promotion P2 procedure §7 (references, doesn't copy lyrics)
Hook sourcing with grep gate keep ours procedure §3-4
80 % script rule P2 procedure §5 rule 1

Our receipts

starpop.ai articles (written versions, read 10-06 from ~/research/davidaistar/starpop/txt/)

Article What he says Adopted Not adopted / already ours
ai-customer-research-ad-copy One research pass across Reddit, Trustpilot, YouTube and Instagram-reel comments, cross-checked against the brand; two tables (ICP personas, feature → benefit → desire → pain), every row with a clickable source; adapt a reference ad's script narrowed to ONE persona; the deeper desire under the problem (being a good mother, and being seen as one) puts a scolding relative in the script TikTok comments as a dated Tier 2 source via tikwm (procedure §1c item 3, tested 10-06); one persona row per script (SKILL §5 step 7) The two tables are already ours (stricter: dates, hits, spot-check). His "adapt the reference's script" stays structure-only (corrections 10-05). His desire read matches recipe A's accuser; nothing new. His Day 1 / Day 7 / Day 14 arc is a timeline: dated stages are ruled by format-timeline's truth table
how-to-build-a-claude-skill-for-ads Fetch the brand, flag guessed facts [assumed], post the brief and wait for confirmation before writing; split research/prompting from execution; descriptions are the routing layer [assumed] tags + no drafting until resolved (SKILL §5 step 1) Browser-agent text-reads-not-screenshots and the two-skill split are tooling notes outside this lane
create-and-clone-competitor-ads-with-ai His own clone's flaws: product introduced too early (curiosity gap gone), script too long Logic-pass checks: product first named no earlier than the format's reveal beat; word count inside the format budget (SKILL §5 step 8) Research-the-new-buyer step = our pull (steps 2-4)
chatgpt-script-generator — — Slug not on disk (10-06)