ab-hook-tester
Generates two genuinely distinct hook variants for the same reel so you can post-test which opening actually wins. Use when the user says "give me two hooks to…
Use after a social launch, campaign, creator collaboration, or distribution test has enough evidence to decide what should be repeated, changed, or stopped. Trigger phrases include "run a launch retro", "what did we learn from this campaign?", "postmortem this launch", "should
$ npx -y skills add Ootto-AI/claude-content-skills --skill launch-retrospective --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
/launch-retrospectiveContext preview
The summary Claude sees to decide when to auto-load this skill.
Use after a social launch, campaign, creator collaboration, or distribution test has enough evidence to decide what should be repeated, changed, or stopped. Trigger phrases include "run a launch retro", "what did we learn from this campaign?", "postmortem this launch", "should
name: launch-retrospective description: Use after a social launch, campaign, creator collaboration, or distribution test has enough evidence to decide what should be repeated, changed, or stopped. Trigger phrases include "run a launch retro", "what did we learn from this campaign?", "postmortem this launch", "should we repeat this?", and "turn these results into next steps". Do not use this to assign blame, invent missing data, or write a live performance dashboard; use social-analytics-report for the in-flight metric read and campaign-brief to plan the next campaign.
Turn a completed campaign into durable operational learning: what happened, why it may have happened, and the next smallest decision.
Bring together the original objective, audience, approved message, channel roles, budget or partner scope where supplied, timing, measurement plan, and decisions made during execution. Compare what actually shipped with what was planned. Separate a deliberate change from an accidental deviation.
Use available performance data, qualitative feedback, partner notes, approvals, and execution records. State dates, metric definitions, missing data, and material confounders. Keep a timeline so the team does not attribute an outcome to a change that happened after it.
List observations first: what was published, what audiences did, and what tracking shows. Then list hypotheses about message, format, distribution, timing, destination, or process. Give each hypothesis a confidence level and the evidence that would strengthen or weaken it.
Return a short set of keep, change, test, and stop decisions with owners and due dates. Update reusable inputs such as the campaign brief template, proof library, UTM vocabulary, or creator brief. Leave a clear record of unresolved questions so they are not rewritten as facts next time.
| Failure | Do this instead | | --- | --- | | The retro is a victory lap or blame document | Use a factual timeline, uncertainty, and future-oriented decisions. | | A single metric explains the whole launch | Combine the original job, data boundary, qualitative evidence, and process record. | | Lessons stay as vague observations | Turn each learning into a named change, test, or stop decision. | | The same tracking issue returns next launch | Update the UTM or measurement workflow with a clear owner. |
Use social-analytics-report for structured performance evidence during the launch. Use campaign-brief, paid-social-brief, influencer-partnerships, and utm-campaign-plan as source records. Feed confirmed lessons into the next campaign-brief rather than treating the retro as a standalone document.
Free, copy-paste Claude skills that run your content growth factory — turn ideas (and your Obsidian memory) into scroll-stopping Instagram reels: hooks, scripts, repurposing, captions, and a 2-week posting calendar.
Repo: Ootto-AI/claude-content-skills
Generates two genuinely distinct hook variants for the same reel so you can post-test which opening actually wins. Use when the user says "give me two hooks to…
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Build evidence-led social audience personas from customer interviews, comments, reviews, or CRM notes.
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