Communitygithub.com

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.

investor-outreach 是什麼?

investor-outreach is a Claude Code agent skill that 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.

相容平台~Claude Code~Codex CLI~Cursor
npx skills add https://github.com/affaan-m/everything-claude-code/tree/main/skills/investor-outreach

在你喜歡的 AI 中提問

開啟一個已預先載入此 Agent Skill 的新對話。

說明文件

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

Individual skills in this repo

This repo contains 20 individual skills — each has its own dedicated page.

accessibility

Design, implement, and audit inclusive digital products using WCAG 2.2 Level AA. Use when building or auditing UI that must meet WCAG 2.2 Level AA, or when reviewing a change for keyboard, contrast, or screen-reader support.

affaan-m/claude-api

Anthropic Claude API patterns for Python and TypeScript. Covers Messages API, streaming, tool use, vision, extended thinking, batches, prompt caching, and Claude Agent SDK. Use when building applications with the Claude API or Anthropic SDKs.

affaan-m/everything-claude-code

End-to-end marketing campaign planning and execution. Covers audience research, positioning, campaign angle definition, landing page copy, email sequences, social posts, ad copy, short-form video scripts, and content calendars. Use as the orchestration layer for multi-channel product launches. Use when planning or executing a multi-channel product launch, or producing landing page, email, social, or ad copy.

affaan-m/everything-claude-code

Development conventions and patterns for everything-claude-code. JavaScript project with conventional commits.

affaan-m/everything-claude-code-conventions

Development conventions and patterns for everything-claude-code. JavaScript project with conventional commits.

affaan-m/frontend-design

Create distinctive, production-grade frontend interfaces with high design quality. Use when the user asks to build web components, pages, or applications and the visual direction matters as much as the code quality.

affaan-m/gget

gget CLI and Python workflow for quick genomic database queries, sequence lookup, BLAST-style searches, enrichment checks, and reproducible bioinformatics evidence logs.

affaan-m/literature-review

Systematic literature-review workflow for academic, biomedical, technical, and scientific topics, including search planning, source screening, synthesis, citation checks, and evidence logging.

affaan-m/motion-ui

Production-ready UI motion system for React/Next.js. Use when implementing animations, transitions, or motion patterns.

affaan-m/project-guidelines-example

Example project-specific skill template based on a real production application.

affaan-m/pubmed-database

Direct PubMed and NCBI E-utilities search workflows for biomedical literature, MeSH queries, PMID lookup, citation retrieval, and API-backed literature monitoring.

affaan-m/scholar-evaluation

Structured scholarly-work evaluation for papers, proposals, literature reviews, methods sections, evidence quality, citation support, and research-writing feedback.

affaan-m/uspto-database

USPTO patent and trademark data workflow for official record lookup, PatentSearch queries, TSDR checks, assignment data, and reproducible IP research logs.

agent-architecture-audit

Full-stack diagnostic for agent and LLM applications. Audits the 12-layer agent stack for wrapper regression, memory pollution, tool discipline failures, hidden repair loops, and rendering corruption. Produces severity-ranked findings with code-first fixes. Essential for developers building agent applications, autonomous loops, or any LLM-powered feature. Use when an agent or LLM feature misbehaves and the failing layer is unknown, or before shipping an agent stack.

agent-eval

Head-to-head comparison of coding agents (Claude Code, Aider, Codex, etc.) on custom tasks with pass rate, cost, time, and consistency metrics. Use when choosing between coding agents, or when a change to an agent setup needs measured pass rate, cost, and time rather than an impression.

agent-harness-construction

Design and optimize AI agent action spaces, tool definitions, and observation formatting for higher completion rates. Use when defining or revising an agent

agentic-engineering

Operate as an agentic engineer using eval-first execution, decomposition, and cost-aware model routing. Use when planning or executing engineering work that agents will carry out end to end.

agentic-os

Build persistent multi-agent operating systems on Claude Code. Covers kernel architecture, specialist agents, slash commands, file-based memory, scheduled automation, and state management without external databases. Use when building a persistent multi-agent system on Claude Code with its own memory, commands, and scheduling.

agent-introspection-debugging

Structured self-debugging workflow for AI agent failures using capture, diagnosis, contained recovery, and introspection reports. Use when an agent run fails and you need a reproducible diagnosis instead of a retry.

agent-payment-x402

Add x402 payment execution to AI agents with per-task budgets, spending controls, and non-custodial wallets. Supports Base through agentwallet-sdk and X Layer through OKX Payments / OKX Agent Payments Protocol. Use when an agent must pay for something itself and needs per-task budgets, spending controls, and a non-custodial wallet.

相關技能