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Skill

/investor-outreach

Draft cold emails, warm intro blurbs, follow-ups, update emails, and investor communications for fundraising. Use when the user wants outreach to angels, VCs, strategic investors, or accelerators and needs concise, personalized, investor-facing messaging.

From plugin
ecc
239k200 skills72 agents109 commands7 hooks
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Install
$ npx -y skills add affaan-m/ECC --skill investor-outreach --agent claude-code

How it fires

How this skill gets triggered: by you, by Claude, or both.

  • Fires itselfAuto-invocation. Claude auto-loads it when your prompt matches the work.Auto-invocation is when the right skill fires by itself at the right moment, driven by a FLOW.md router and a hook, instead of you invoking it by name. It is the difference between a skill being installed and a skill actually getting used.Read the full definition →
  • You can call itInvoke it directly when you want it.
  • Slash command/investor-outreach

Context preview

The summary Claude sees to decide when to auto-load this skill.

Draft cold emails, warm intro blurbs, follow-ups, update emails, and investor communications for fundraising. Use when the user wants outreach to angels, VCs, strategic investors, or accelerators and needs concise, personalized, investor-facing messaging.

SKILL.md

investor-outreach.SKILL.md
name: investor-outreach
description: Draft cold emails, warm intro blurbs, follow-ups, update emails, and investor communications for fundraising. Use when the user wants outreach to angels, VCs, strategic investors, or accelerators and needs concise, personalized, investor-facing messaging.
metadata:
  origin: ECC

Investor Outreach

Write investor communication that is short, concrete, and easy to act on.

When to Activate

  • writing a cold email to an investor
  • drafting a warm intro request
  • sending follow-ups after a meeting or no response
  • writing investor updates during a process
  • tailoring outreach based on fund thesis or partner fit

Core Rules

1. Personalize every outbound message. 2. Keep the ask low-friction. 3. Use proof instead of adjectives. 4. Stay concise. 5. Never send copy that could go to any investor.

Voice Handling

If the user's voice matters, run `brand-voice` first and reuse its `VOICE PROFILE`. This skill should keep the investor-specific structure and ask discipline, not recreate its own parallel voice system.

Hard Bans

Delete and rewrite any of these:

  • "I'd love to connect"
  • "excited to share"
  • generic thesis praise without a real tie-in
  • vague founder adjectives
  • begging language
  • soft closing questions when a direct ask is clearer

Cold Email Structure

1. subject line: short and specific 2. opener: why this investor specifically 3. pitch: what the company does, why now, and what proof matters 4. ask: one concrete next step 5. sign-off: name, role, and one credibility anchor if needed

Personalization Sources

Reference one or more of:

  • relevant portfolio companies
  • a public thesis, talk, post, or article
  • a mutual connection
  • a clear market or product fit with the investor's focus

If that context is missing, state that the draft still needs personalization instead of pretending it is finished.

Follow-Up Cadence

Default:

  • day 0: initial outbound
  • day 4 or 5: short follow-up with one new data point
  • day 10 to 12: final follow-up with a clean close

Do not keep nudging after that unless the user wants a longer sequence.

Warm Intro Requests

Make life easy for the connector:

  • explain why the intro is a fit
  • include a forwardable blurb
  • keep the forwardable blurb under 100 words

Post-Meeting Updates

Include:

  • the specific thing discussed
  • the answer or update promised
  • one new proof point if available
  • the next step

Quality Gate

Before delivering:

  • the message is genuinely personalized
  • the ask is explicit
  • the proof point is concrete
  • filler praise and softener language are gone
  • word count stays tight
Read more
Ships withecc

Your agent can write code, but ECC gives it a coordinated engineering system and toolbox: it plans before it builds, verifies changes with tests, reviews its own work from a fresh context, remembers what matters, and turns repeated wins into reusable skills

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