lead-magnet-ideas
Generate 3-5 lead magnet ideas from the brand's assets, graded by effort and power.
Skill by indranilbanerjee
Chalk Labs
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Install
Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
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About
Use cases: design, sales
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What this skill can do and what it asks for, from its SKILL.md and code. Checked Oct 25, 2026.
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Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.claude/skills/lead-magnet-ideas
What's inside
- Skill name
lead-magnet-ideas- Description
- Generate 3-5 lead magnet ideas from the brand's assets, graded by effort and power. "what should we give away"
- License
- MIT
- Instructions
- 73 lines in SKILL.md · view on GitHub
Files (1)
- SKILL.md
SKILL.md (first lines)
# /digital-marketing-pro:lead-magnet-ideas
The bridge between content that earns attention and a funnel that captures it.
A good lead magnet is not "an ebook" — it is the specific artifact this
audience would trade an email for, on this topic, from this brand, buildable
with what the brand already has.
## Inputs
- **The topic** — a subject, a campaign, or an existing piece the magnet
should extend.
- **The brand profile** — audience, expertise, existing assets, funnel stage
from `~/.claude-marketing/brands/{slug}/`. The best magnets are cut from IP
the brand already owns: the internal checklist, the template they use on
every engagement, the dataset nobody else has.
- `--max-effort` — cap suggestions at what the team can actually build.
## The grading matrix
Every idea is graded on two axes, stated with reasons — ungraded idea lists
outsource the real decision back to the user:
| Grade | Lead-gen power | Build effort |
|---|---|---|
| **A** | Audience actively searches for this; clear next step toward the offer | Assembled from existing assets in hours |
| **B** | Wanted once seen; adjacent to the buying decision | Days; some new material |
| **C** | Nice-to-have; collects curiosity, not intent | A real project |
The sweet spot is power-A × effort-A: the artifact the brand already uses
internally, packaged. Flag any power-C × effort-C idea as not worth building.
## Output structure
```
# Lead magnets — [topic], {brand}
## 1. [Specific name — "The 23-point pre-launch QA checklist", never "a checklist"]
**What it is:** [2-3 sentences — contents, format, length]
**Cut from:** [the existing brand asset or expertise it is built from]
**Power: A/B/C** — [why: search demand, intent proximity, offer fit]
**Effort: A/B/C** — [why: what exists vs what must be made]
**Funnel fit:** [what it qualifies the lead FOR — the next step it sets up]
**Delivery:** [landing page + email / in-content unlock / webinar follow-up]
[... 3-5 ideas, best power-to-effort ratio first ...]
## Not recommended
[Ideas that look obvious for this topic but grade badly here, with the grade —
pre-empting the "what about an ebook?" conversation]
## Next steps
[Route onward: /digital-marketing-pro:email-sequence for the nurture that
follows capture; /digital-marketing-pro:funnel-architect if there is nowhere
to send the lead yet]
```
## Critical rules
- **Specific, or it does not ship.** Every idea carries a name a designer
could brief from. "A template" is a category; "the client-onboarding email
sequence template with the 6 send-day rules annotated" is an idea.
- **Tied to existing IP first.** An idea requiring expertise the brand does
not demonstrably have is graded effort-C and flagged — a magnet the brand
cannot credibly deliver damages the exact trust it exists to build.
- **Grade honestly, both axes, with reasons.** The grades are the deliverable;
the ideas are commodity.
- **A magnet must lead somewhere.** Each idea names what it qualifies the lead
for. Capture with no next step is a list nobody emails.
- **Compliance applies.** Gated content in regulated industries carries the
same disclaimer and claims rules as published content — a magnet is not a
compliance side door.From indranilbanerjee/digital-marketing-pro, MIT.
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Signals
- Stars
- 909
- Forks
- 146
- Open issues
- 0
- Last commit (this folder)
- Oct 9, 2026 (27 days ago)
- Last release
- Jul 29, 2026 (3 months ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- Website
- indranil.in
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
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Show status of every tracked campaign: health, spend, executions, pending approvals.
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client-report
indranilbanerjee
Write a white-labeled report for one client from tracked data.
SkillAFreshness: A★ 909Claude Code +9 - 0.674score
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indranilbanerjee
Design the analytics layer with script-backed benchmarks: KPI trees, report templates, MMM, cookieless.
SkillAFreshness: A★ 909Claude Code +9 - 0.674score
budget-tracker
indranilbanerjee
Project ad budget pacing by script from live accounts or given numbers: month-end overspend.
SkillAFreshness: A★ 909Claude Code +9 - 0.674score
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SkillAFreshness: A★ 909Claude Code +9 - 0.674score
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Rahil Jain, Co-founder, Chalk Labs. Ex-Goldman Sachs engineer. You talk to the person who builds it.
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lead-magnet-ideas skill. Agent Mart. https://agentmart.dev/skills/indranilbanerjee-lead-magnet-ideas (last updated 2026-10-24)