focused-fix
Deep-dive feature repair — systematically fix an entire feature/module across all its files and dependencies. Usage: /focused-fix <feature-path>
/cs:webinar — Webinar & virtual-event marketing workflow. Plan a webinar from scratch (sized backward from the business goal), rescue one whose numbers disappointed (score the funnel, fix the broken stage), or turn a past webinar into an evergreen on-demand lead engine. Covers
$ npx -y skills add alirezarezvani/claude-skills --agent claude-codeHow it fires
How this command gets triggered: by you, by Claude, or both.
/cs-webinarContext preview
What this command does when you run it.
/cs:webinar — Webinar & virtual-event marketing workflow. Plan a webinar from scratch (sized backward from the business goal), rescue one whose numbers disappointed (score the funnel, fix the broken stage), or turn a past webinar into an evergreen on-demand lead engine. Covers
name: "cs-webinar" description: "/cs:webinar — Webinar & virtual-event marketing workflow. Plan a webinar from scratch (sized backward from the business goal), rescue one whose numbers disappointed (score the funnel, fix the broken stage), or turn a past webinar into an evergreen on-demand lead engine. Covers the full funnel: registration, promotion runway, show-up, live engagement, live-to-close, and segmented follow-up. Treats a webinar as a funnel, not an event."
**Command:** `/cs:webinar [mode] [args]`
The `cs-webinar` command is the **entry point for webinar workflows**: plan → promote → run → follow up, or diagnose → fix → re-run.
/cs:webinar plan
Walks the intake, locks the promise + format, sizes the funnel backward from the business goal, builds the promotion runway, and designs show-up + live-to-close + follow-up. Delivers a full plan using `marketing-skill/skills/webinar-marketing/templates/webinar-plan-template.md`.
/cs:webinar rescue --input funnel.json
Scores the funnel, names the weakest stage, and returns ranked fixes targeting the actual bottleneck — not a reflexive landing-page rewrite.
/cs:webinar evergreen
Maps the on-demand registration → watch → follow-up automation, with honest live-vs-simulated framing.
/cs:webinar score --input funnel.json /cs:webinar score # embedded sample data
| Q | Asks | When | |---|---|---| | Q1 | Which mode — plan / rescue / evergreen? | Always | | Q2 | Business goal + conversion action (leads, pipeline, adoption, retention, brand)? | Always (drives the backward funnel math) | | Q3 | Audience temperature (customers / warm / owned_cold / paid_cold)? | Always (selects benchmarks) |
Read `marketing-context.md` first if it exists — it covers brand voice, personas, and customer language, so you only ask for what's specific to this event.
# Mode: rescue / score — find the broken stage first python3 marketing-skill/skills/webinar-marketing/scripts/webinar_funnel_scorer.py funnel.json # → overall 0-100 score + per-stage rate vs. benchmark + named bottleneck # Pipe JSON via stdin cat funnel.json | python3 marketing-skill/skills/webinar-marketing/scripts/webinar_funnel_scorer.py - # Demo on embedded sample data (no --help flag — run with no args) python3 marketing-skill/skills/webinar-marketing/scripts/webinar_funnel_scorer.py
Input JSON (`registrations` + `attended_live` required; rest optional):
{
"invited": 5000, "page_visits": 1800, "registrations": 620,
"attended_live": 180, "cta_clicks": 40, "conversions": 14,
"audience": "owned_cold", "runtime_min": 45, "avg_watch_min": 26
}Always size from the business goal backward — this stops anyone celebrating 800 registrations while 6 people buy:
Business goal: 20 sales-qualified opportunities ÷ attendee→SQO rate (~10%) → need 200 engaged attendees ÷ register→attend (~35% live) → need ~570 registrations ÷ landing-page CVR (~40%) → need ~1,425 landing-page visits → promotion must drive ~1,425 qualified visits
If the required visits exceed the reachable audience, fix the goal, format, or promotion budget *now*.
The scorer calibrates per audience temperature (warmer audiences convert better at every stage):
| Audience | Page→Reg | Reg→Attend | Attend→CTA | Attend→Convert | |---|---|---|---|---| | `customers` | 40% | 50% | 25% | 12% | | `warm` | 35% | 42% | 22% | 10% | | `owned_cold` | 25% | 35% | 18% | 7% | | `paid_cold` | 18% | 28% | 15% | 5% |
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**Version:** 2.9.0 **License:** MIT
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Repo: alirezarezvani/claude-skills
Deep-dive feature repair — systematically fix an entire feature/module across all its files and dependencies. Usage: /focused-fix <feature-path>
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