feat: expand lead intelligence outreach channels

This commit is contained in:
Affaan Mustafa
2026-04-01 11:37:26 -07:00
parent 1abeff9be7
commit 401966bc18

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@@ -1,6 +1,6 @@
---
name: lead-intelligence
description: AI-native lead intelligence and outreach pipeline. Replaces Apollo, Clay, and ZoomInfo with agent-powered signal scoring, mutual ranking, warm path discovery, and personalized outreach. Use when the user wants to find, qualify, and reach high-value contacts.
description: AI-native lead intelligence and outreach pipeline. Replaces Apollo, Clay, and ZoomInfo with agent-powered signal scoring, mutual ranking, warm path discovery, source-derived voice modeling, and channel-specific outreach across email, LinkedIn, and X. Use when the user wants to find, qualify, and reach high-value contacts.
origin: ECC
---
@@ -24,9 +24,11 @@ Agent-powered lead intelligence pipeline that finds, scores, and reaches high-va
- **X API** — Follower/following graph, mutual analysis, recent activity (`X_BEARER_TOKEN`, `X_ACCESS_TOKEN`)
### Optional (enhance results)
- **LinkedIn** — Via browser-use MCP or direct API for connection graph
- **LinkedIn** — Direct API if available, otherwise browser control for search, profile inspection, and drafting
- **Apollo/Clay API** — For enrichment cross-reference if user has access
- **GitHub MCP** — For developer-centric lead qualification
- **Apple Mail / Mail.app** — Draft cold or warm email without sending automatically
- **Browser control** — For LinkedIn and X when API coverage is missing or constrained
## Pipeline Overview
@@ -37,6 +39,40 @@ Agent-powered lead intelligence pipeline that finds, scores, and reaches high-va
└─────────────┘ └──────────────┘ └─────────────────┘ └──────────────┘ └─────────────────┘
```
## Voice Before Outreach
Do not draft outbound from generic sales copy.
Before writing a message, build a voice profile from real source material. Prefer:
- recent X posts and threads
- published articles, memos, or launch notes
- prior outreach emails that actually worked
- docs, changelogs, or product writing if those are the strongest signals
If live X access is available, pull recent original posts before drafting. If not, use supplied examples or the best repo/site material available.
Extract:
- sentence length and rhythm
- how compressed or explanatory the writing is
- how parentheses are used
- whether capitalization is conventional or situational
- how often questions are used
- phrases or transitions the author never uses
For Affaan / ECC style specifically:
- direct, compressed, concrete
- strong preference for specifics, mechanisms, and receipts
- parentheticals are for qualification or over-clarification, not jokes
- lowercase is optional, not mandatory
- no fake curiosity hooks
- no "not X, just Y"
- no "no fluff"
- no LinkedIn thought-leader cadence
- no bait question at the end
## Stage 1: Signal Scoring
Search for high-signal people in target verticals. Assign a weight to each based on:
@@ -192,39 +228,101 @@ For each qualified lead, pull:
## Stage 5: Outreach Draft
Generate personalized outreach for each lead. Two modes:
Generate personalized outreach for each lead. The draft should match the source-derived voice profile and the target channel.
### Channel Rules
#### Email
- Use for the highest-value cold outreach, warm intros, investor outreach, and partnership asks
- Default to drafting in Apple Mail / Mail.app when local desktop control is available
- Create drafts first, do not send automatically unless the user explicitly asks
- Subject line should be plain and specific, not clever
#### LinkedIn
- Use when the target is active there, when mutual graph context is stronger on LinkedIn, or when email confidence is low
- Prefer API access if available
- Otherwise use browser control to inspect profiles, recent activity, and draft the message
- Keep it shorter than email and avoid fake professional warmth
#### X
- Use for high-context operator, builder, or investor outreach where public posting behavior matters
- Prefer API access for search, timeline, and engagement analysis
- Fall back to browser control when needed
- DMs and public replies should be much tighter than email and should reference something real from the target's timeline
#### Channel Selection Heuristic
Pick one primary channel in this order:
1. warm intro by email
2. direct email
3. LinkedIn DM
4. X DM or reply
Use multi-channel only when there is a strong reason and the cadence will not feel spammy.
### Warm Intro Request (to mutual)
```
hey [mutual name],
quick ask. i see you know [target name] at [company].
i'm building [your product] which [1-line relevance to target].
would you be open to a quick intro? happy to send you a
forwardable blurb.
Goal:
[your name]
```
- one clear ask
- one concrete reason this intro makes sense
- easy-to-forward blurb if needed
Avoid:
- overexplaining your company
- social-proof stacking
- sounding like a fundraiser template
### Direct Cold Outreach (to target)
```
hey [target name],
[specific reference to their recent work/post/announcement].
i'm [your name], building [product]. [1 line on why this is
relevant to them specifically].
Goal:
[specific low-friction ask].
- open from something specific and recent
- explain why the fit is real
- make one low-friction ask
[your name]
```
Avoid:
### Anti-Patterns (never do)
- Generic templates with no personalization
- Long paragraphs explaining your whole company
- Multiple asks in one message
- Fake familiarity ("loved your recent talk!" without specifics)
- Bulk-sent messages with visible merge fields
- generic admiration
- feature dumping
- broad asks like "would love to connect"
- forced rhetorical questions
### Execution Pattern
For each target, produce:
1. the recommended channel
2. the reason that channel is best
3. the message draft
4. optional follow-up draft
5. if email is the chosen channel and Apple Mail is available, create a draft instead of only returning text
If browser control is available:
- LinkedIn: inspect target profile, recent activity, and mutual context, then draft or prepare the message
- X: inspect recent posts or replies, then draft DM or public reply language
If desktop automation is available:
- Apple Mail: create draft email with subject, body, and recipient
Do not send messages automatically without explicit user approval.
### Anti-Patterns
- generic templates with no personalization
- long paragraphs explaining your whole company
- multiple asks in one message
- fake familiarity without specifics
- bulk-sent messages with visible merge fields
- identical copy reused for email, LinkedIn, and X
- platform-shaped slop instead of the author's actual voice
## Configuration
@@ -264,5 +362,5 @@ Agent workflow:
3. enrichment-agent pulls company data and recent activity
4. outreach-drafter generates personalized messages for top ranked leads
Output: Ranked list with warm paths and draft outreach for each
Output: Ranked list with warm paths, voice profile summary, and channel-specific outreach drafts or drafts-in-app
```