cold-outreach-sequence
Build personalized cold outreach sequences for LinkedIn and email. Use when someone needs to reach prospects, warm up cold leads, or build a systematic outreach engine. Covers research, connection requests, follow-ups, and conversion.
Best use case
cold-outreach-sequence is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Build personalized cold outreach sequences for LinkedIn and email. Use when someone needs to reach prospects, warm up cold leads, or build a systematic outreach engine. Covers research, connection requests, follow-ups, and conversion.
Teams using cold-outreach-sequence should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/cold-outreach-sequence/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How cold-outreach-sequence Compares
| Feature / Agent | cold-outreach-sequence | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Build personalized cold outreach sequences for LinkedIn and email. Use when someone needs to reach prospects, warm up cold leads, or build a systematic outreach engine. Covers research, connection requests, follow-ups, and conversion.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
Related Guides
AI Agent for Cold Email Generation
Discover AI agent skills for cold email generation, outreach copy, lead personalization, CRM support, and sales-adjacent messaging workflows.
AI Agents for Freelancers
Browse AI agent skills for freelancers handling client research, proposals, outreach, delivery systems, documentation, and repeatable admin work.
Best AI Skills for Claude
Explore the best AI skills for Claude and Claude Code across coding, research, workflow automation, documentation, and agent operations.
SKILL.md Source
# Cold Outreach Sequence
Here's what I've learned about cold outreach: the word "cold" is the problem.
Spray-and-pray templates don't work. 10 minutes of research + a specific reference = not cold anymore. This skill builds the second kind.
---
## Mode
Detect from context or ask: *"One message, full sequence, or full outreach system?"*
| Mode | What you get | Best for |
|------|-------------|----------|
| `quick` | 1 connection request + 1 follow-up for a single prospect | Testing an angle, one-off outreach |
| `standard` | Full 4-touch sequence for a single prospect | Active pipeline, individual targets |
| `deep` | Multi-prospect sequence system + A/B variants + tracking framework | Launching an outreach campaign |
**Default: `standard`** — use `quick` if they give you one name and say "draft something." Use `deep` if they're building a repeatable outreach engine.
---
## Context Loading Gates
**Before writing any message, collect:**
- [ ] **Prospect name and company** — full name, company, role/title
- [ ] **Research signals** — run tool calls first (see below); do not write without them
- [ ] **Sender positioning** — what does the sender do, for whom, with what result? (Use `positioning-basics` output if available)
- [ ] **Platform** — LinkedIn DM, email, or both?
- [ ] **Batch size** — how many prospects? (determines tier assignment)
**Research tool calls — run before writing:**
```
web_search('[Company] [Founder/Name] news 2026')
web_search('[Company] funding recent')
web_search('[Person name] [Company] LinkedIn')
```
**Personalization constraint:** Do not write a Tier 1 message without a named specific signal from research. If search yields 0 signals, default to Tier 3 and say so explicitly.
---
## Phase 1: Research & Signal Assessment
For each prospect, document findings before drafting:
**Signal types (ranked by message strength):**
1. Recent news event (funding, launch, hire, press) → strongest signal
2. Recent LinkedIn post activity → strong signal
3. Company stage/growth data → medium signal
4. Role + industry awareness only → weak signal (Tier 3)
**Personalization tier assignment:**
| Research Result | Tier | Approach |
|---|---|---|
| Named signal (news + post + context) | Tier 1 | Fully custom, reference signal in every message |
| Company info + role context | Tier 2 | Template + personalized opener |
| No signals found | Tier 3 | Volume template, minimal customization |
---
## Phase 2: Sequence Generation
### Connection Request (LinkedIn) — 300 chars max
**Formula:** `[Specific observation from research] + [Simple reason to connect]`
**Rules:**
- No pitching
- Prove you did research (name the signal)
- One sentence, conversational
- Never "I'd love to pick your brain"
**By signal type:**
```
Recent funding: "Congrats on the Series A — the [investor] backing is a smart signal. Would love to connect."
Recent post: "Your post on [specific topic] resonated — been thinking the same thing. Happy to connect."
News/launch: "Saw the [product] launch — [specific detail] is smart positioning. Would love to connect."
```
---
### First Message (After Accept — Wait 24-48 Hours)
**Formula:** `[Thanks] + [Bridge to relevance] + [Light value] + [Soft question]`
**Template:**
```
Thanks for connecting. I work with [ICP description] on [specific outcome].
Curious — is [relevant function] something you own directly at [Company],
or is that still founder-led?
Happy to share what I'm seeing work at similar-stage companies either way.
```
---
### Follow-Up #1 (Day 7)
**Formula:** `[Light nudge] + [New signal or angle] + [Easy out]`
**Constraint:** Do NOT write "following up" with nothing new. Add one new piece:
- A relevant article or trend
- A related insight you recently had
- A connection to something they posted
**Template:**
```
Bumping this up — came across [specific article/trend/insight] and
thought of your situation at [Company].
[One sentence on why it's relevant to them.]
Happy to share more if useful. If not, no worries.
```
---
### Follow-Up #2 (Day 14)
Shift to email if LinkedIn hasn't converted, or try a different angle.
**Subject line options:**
- "[Company]'s [function] as you scale"
- "Saw your [post/news] — quick thought"
- "Question about [specific thing they're doing]"
**Email structure:**
```
[1-line hook tied to their specific situation]
[2-3 sentences: why you're reaching out + one proof point]
[Soft CTA — 1 sentence]
```
---
### Break-Up Message (Day 21)
```
I'll assume timing isn't right — totally get it.
If [relevant pain point] becomes a priority down the road, happy to reconnect.
Best of luck with [specific thing they're working on based on research].
```
**Post-break-up action:** Add to 6-month re-engagement list with a resurface date.
---
## Phase 3: Self-Critique Pass (REQUIRED)
After generating the full sequence, evaluate:
- [ ] Does every message reference the specific signal from research, or are they generic?
- [ ] Is the connection request under 300 characters?
- [ ] Does the first message ask a question (invite dialogue) rather than pitch?
- [ ] Does follow-up #1 add something genuinely new, or is it just "following up"?
- [ ] Does the break-up message reference something specific about their situation?
- [ ] Did I correctly assign the personalization tier, or am I over-personalizing a Tier 3 prospect?
Flag any issue: "The first message doesn't include a soft question — it reads as a pitch. Revised to invite dialogue."
---
## Pipeline Tracking Table
Always output a tracking table for the batch:
```markdown
| Prospect | Company | Platform | Tier | Sent Date | Response | Stage | Next Action | Resurface Date |
|---|---|---|---|---|---|---|---|---|
| [Name] | [Co] | LinkedIn | 1 | [date] | — | Connection sent | Wait 24-48h | — |
| [Name] | [Co] | Email | 2 | [date] | — | First email sent | Follow-up Day 7 | — |
```
---
## Iteration Protocol
After each response (or non-response), ask:
- Did the connection request get accepted? If low acceptance rate → revise the observation line
- Did the first message get a reply? If no → was the question soft enough, or did it feel like a pitch?
- Did follow-ups get ignored? If yes → try a different angle or acknowledge the silence directly
---
## Output Structure
```markdown
## Outreach Sequence: [Prospect Name] — [Date]
### Research Summary
- Signal type: [news / post / company info / none]
- Signal found: "[Specific detail]"
- Personalization tier: [1/2/3]
- Source: [URL or platform]
### Sequence
**Connection Request (LinkedIn):**
[Text — max 300 chars]
**First Message (Day 1-2 after accept):**
[Text]
**Follow-Up #1 (Day 7):**
[Text]
**Follow-Up #2 (Day 14):**
Platform: [LinkedIn / Email]
Subject: [if email]
[Text]
**Break-Up (Day 21):**
[Text]
### Pipeline Entry
| Prospect | Company | Platform | Tier | Stage | Next Action | Resurface Date |
|---|---|---|---|---|---|---|
| [Name] | [Co] | [Platform] | [Tier] | Connection sent | Wait 24-48h | — |
### Self-Critique Notes
[Any issues flagged + revisions made]
```
---
*Skill by Brian Wagner | AI Marketing Architect | brianrwagner.com*Related Skills
youtube-summarizer
Automatically fetch YouTube video transcripts, generate structured summaries, and send full transcripts to messaging platforms. Detects YouTube URLs and provides metadata, key insights, and downloadable transcripts.
voice-extractor
Extract and document someone's authentic writing voice from samples. Use when someone needs a "voice guide," wants to capture their writing DNA, or needs to train AI to write in their style. Also useful for ghostwriting, brand voice documentation, or onboarding writers.
vault-cleanup-auditor
Audit your Obsidian vault in Claude Code — finds stale drafts, empty folders, duplicate filenames, and incomplete files. Saves a dated report.
tweet-draft-reviewer
Review tweet drafts in Claude Code against 8 voice rules. Scores 1-10, breaks down every rule, and rewrites anything that scores below 7.
testimonial-collector
Systematically gather, score, and format client testimonials. Use when someone needs social proof, wants to collect feedback, needs to turn happy clients into public advocates, or asks for help requesting or drafting a testimonial.
social-card-gen
Generate platform-specific social post variants (Twitter/X, LinkedIn, Reddit) from one source input. Works with or without Node.js script. Includes platform reasoning, quality review, and guardrails against cross-posting spam.
reddit-insights
Search and analyze Reddit content using semantic AI search via reddit-insights.com MCP server. Use when you need to: (1) Find user pain points and frustrations for product ideas, (2) Discover niche markets or underserved needs, (3) Research what people really think about products/topics, (4) Find content inspiration from real discussions, (5) Analyze sentiment and trends on Reddit, (6) Validate business ideas with real user feedback. Triggers: reddit search, find pain points, market research, user feedback, what do people think about, reddit trends, niche discovery, product validation.
newsletter-creation-curation
Industry-adaptive B2B newsletter creation with stage, role, and geography-aware workflows
meeting-prep-cc
Generate a pre-meeting prep brief in Claude Code. Researches participants, pulls vault context, builds agenda, surfaces sharp questions. Use when user says "prep for this meeting," "I have a call with," "meeting tomorrow with," or "prep brief for [name/company]."
marketing-principles
Apply timeless marketing and business principles to any problem. Use when someone needs strategic thinking, wants to evaluate a marketing decision, needs a framework for a tough choice, or mentions "first principles," "should I do X," "what would work here," or wants to think through a marketing problem systematically.
linkedin-profile-optimizer
Audit and rewrite your LinkedIn profile to attract the right people. Scores each section, rewrites headline and about copy, and includes an AI visibility checklist so you show up in ChatGPT, Perplexity, and Claude search. Use when someone says "optimize my LinkedIn," "LinkedIn profile help," "rewrite my about section," or "how do I show up in AI search."
linkedin-authority-builder
Build a LinkedIn content system for thought leadership. Use when someone needs to establish authority, attract inbound leads, or build a consistent content presence. Covers positioning, content pillars, formats, and posting rhythm.