100m Leads
getagentseal/founder-playbook
Builds lead generation systems using Alex Hormozi's Core Four framework (warm outreach, content, cold outreach, paid ads), lead magnets, and Rule of 100.
Enterprise-grade B2B lead generation, enrichment, scoring, and outreach sequencing for AI agents.
$ npx skills add LeoYeAI/openclaw-master-skills --skill afrexai-lead-hunter -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install LeoYeAI/openclaw-master-skills afrexai-lead-hunter --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/LeoYeAI/openclaw-master-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/afrexai-lead-hunter .claude/skills/afrexai-lead-hunter && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "afrexai-lead-hunter" agent skill from https://github.com/LeoYeAI/openclaw-master-skills/tree/main/skills/afrexai-lead-hunter into .claude/skills/afrexai-lead-hunter/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "afrexai-lead-hunter", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/LeoYeAI/openclaw-master-skills/tree/main/skills/afrexai-lead-hunterType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add LeoYeAI/openclaw-master-skills --skill afrexai-lead-hunter -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install LeoYeAI/openclaw-master-skills afrexai-lead-hunter --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/LeoYeAI/openclaw-master-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/afrexai-lead-hunter .agents/skills/afrexai-lead-hunter && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "afrexai-lead-hunter" agent skill from https://github.com/LeoYeAI/openclaw-master-skills/tree/main/skills/afrexai-lead-hunter into .agents/skills/afrexai-lead-hunter/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "afrexai-lead-hunter", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add LeoYeAI/openclaw-master-skills --skill afrexai-lead-hunter -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install LeoYeAI/openclaw-master-skills afrexai-lead-hunter --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/LeoYeAI/openclaw-master-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/afrexai-lead-hunter .cursor/skills/afrexai-lead-hunter && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "afrexai-lead-hunter" agent skill from https://github.com/LeoYeAI/openclaw-master-skills/tree/main/skills/afrexai-lead-hunter into .cursor/skills/afrexai-lead-hunter/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "afrexai-lead-hunter", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/LeoYeAI/openclaw-master-skills.git --path skills/afrexai-lead-hunter--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add LeoYeAI/openclaw-master-skills --skill afrexai-lead-hunter -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install LeoYeAI/openclaw-master-skills afrexai-lead-hunter --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/LeoYeAI/openclaw-master-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/afrexai-lead-hunter .gemini/skills/afrexai-lead-hunter && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "afrexai-lead-hunter" agent skill from https://github.com/LeoYeAI/openclaw-master-skills/tree/main/skills/afrexai-lead-hunter into .gemini/skills/afrexai-lead-hunter/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "afrexai-lead-hunter", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install LeoYeAI/openclaw-master-skills afrexai-lead-hunterInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add LeoYeAI/openclaw-master-skills --skill afrexai-lead-hunter -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/LeoYeAI/openclaw-master-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/afrexai-lead-hunter .github/skills/afrexai-lead-hunter && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "afrexai-lead-hunter" agent skill from https://github.com/LeoYeAI/openclaw-master-skills/tree/main/skills/afrexai-lead-hunter into .github/skills/afrexai-lead-hunter/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "afrexai-lead-hunter", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add LeoYeAI/openclaw-master-skills --skill afrexai-lead-hunter -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install LeoYeAI/openclaw-master-skills afrexai-lead-hunter --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/LeoYeAI/openclaw-master-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/afrexai-lead-hunter .opencode/skills/afrexai-lead-hunter && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "afrexai-lead-hunter" agent skill from https://github.com/LeoYeAI/openclaw-master-skills/tree/main/skills/afrexai-lead-hunter into .opencode/skills/afrexai-lead-hunter/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "afrexai-lead-hunter", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
afrexai-lead-hunterEnterprise-grade B2B lead generation, enrichment, scoring, and outreach sequencing for AI agents.
Afrexai Lead Hunter is an agent skill from LeoYeAI/openclaw-master-skills. Enterprise-grade B2B lead generation, enrichment, scoring, and outreach sequencing for AI agents. Find ideal prospects, enrich with verified data, score against your ICP, and generate personalized outreach — all autonomously.
Its SKILL.md is about 4.4k tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files (for example `README.md` and `_meta.json`).
It sits in Marketing & SEO, covering Lead generation and Cold outreach. The repository describes itself as: 🧠 Curated collection of 1209+ best OpenClaw skills — weekly updated by MyClaw.ai. The licence is MIT.
8 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit e5199b5. It shows what the files ask for, not the result of running them.
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
No scripts in the folder and no shell commands in SKILL.md (its code samples are yaml, json, csv and markdown).
From the folder's file list and the shell code blocks in SKILL.md.
Hosts in commands or code, which the agent is likely to contact:
acme.comlinkedin.comAlso links to:
afrexai-cto.github.ioFrom URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Afrexai Lead Hunter loads about 4.4k tokens when it runs. Until then it costs about 61 tokens; SKILL.md has 958 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
The full file from LeoYeAI/openclaw-master-skills at commit e5199b5, republished under its MIT licence (© LeoYeAI). 958 words, ~4,432 tokens.
.claude/skills/afrexai-lead-hunter/SKILL.md (or your agent's skills folder). This skill also uses 2 other files; get the full folder from GitHub.Turn your AI agent into a full B2B sales development machine. Discovery → Enrichment → Scoring → Outreach → CRM. Zero manual work.
DEFINE ICP ──▶ DISCOVER ──▶ ENRICH ──▶ SCORE ──▶ SEGMENT ──▶ OUTREACH ──▶ CRM
│ │ │ │ │ │ │
▼ ▼ ▼ ▼ ▼ ▼ ▼
Persona Multi-source Email+Phone ICP fit Tier A/B/C Sequences Pipeline
Builder Web Research Company Data Intent Campaigns Templates TrackingBefore hunting, know WHO you're hunting. Answer these:
# Copy and customize this ICP template
company:
industries: [SaaS, fintech, legal-tech, prop-tech]
employee_range: [50, 500] # sweet spot for AI adoption
revenue_range: [$5M, $100M] # can afford $120K+ contracts
funding_stage: [Series A, Series B, Series C]
tech_signals: # tools that indicate AI readiness
positive: [Salesforce, HubSpot, Snowflake, AWS, Python]
negative: [no-website, wordpress-only]
geography: [US, UK, Canada, Australia]
pain_signals: # problems they're likely facing
- "manual data entry"
- "compliance overhead"
- "scaling operations"
- "document processing"persona:
titles: [CEO, CTO, COO, VP Operations, Head of Innovation, Director of IT]
seniority: [C-Suite, VP, Director]
decision_authority: true # can sign $50K+ without board approval
linkedin_activity: # signals they're actively looking
- posts about AI/automation
- comments on digital transformation content
- recently changed roles (first 90 days = buying window)
anti-signals: # skip these
- "consultant" in title (not buyers)
- company < 10 employees (no budget)
- already has AI vendor (check for competitors in their stack)scoring:
icp_company_match: 30 # how well company matches
icp_persona_match: 20 # right title + seniority
intent_signals: 25 # actively looking for solutions
engagement_recency: 15 # recent activity online
timing_bonus: 10 # new role, funding round, hiring
thresholds:
tier_a: 80 # hot — outreach immediately
tier_b: 60 # warm — nurture sequence
tier_c: 40 # cool — add to newsletter
disqualify: below 40 # don't waste time| Source | Best For | How To Search | Data Quality | Cost |
|---|---|---|---|---|
| Web Search | Any industry | "[industry] companies" site:linkedin.com/company | High | Free |
| GitHub | Dev tools, tech companies | Search repos, org pages, contributor profiles | High | Free |
| Product Hunt | Startups, SaaS | Browse launches, upvoters (they're buyers too) | Medium | Free |
| Industry Lists | Targeted verticals | "Top 50 [industry] companies 2026", Clutch, G2 | High | Free |
| Job Boards | Hiring = growing = buying | "AI" OR "automation" site:lever.co OR site:greenhouse.io | High | Free |
| Crunchbase | Funded startups | Recently funded companies in target verticals | High | Freemium |
| Conference Speakers | Active industry leaders | Speaker lists from industry events | Very High | Free |
| Podcast Guests | Thought leaders with budget | Search "[industry] podcast" transcripts | High | Free |
Find companies by pain signal:
"[industry]" "manual process" OR "time-consuming" OR "looking for solutions" site:linkedin.comFind companies by hiring signal (they're growing = they're buying):
"[company type]" "hiring" "AI" OR "automation" OR "data" site:linkedin.com/jobsFind recently funded companies (flush with cash):
"[industry]" "raises" OR "Series A" OR "funding" OR "investment" 2026Find companies using competitor tools (ripe for switching):
"[competitor tool]" "alternative" OR "switching from" OR "replaced"Find decision makers directly:
"[title]" "[industry]" "[city/region]" site:linkedin.com/inFOR each search query:
1. Run web_search with the query
2. Extract company names + URLs from results
3. Deduplicate against existing leads
4. For each NEW company:
a. Visit company website → extract: industry, size estimate, tech signals
b. Search "[company name] CEO" OR "[company name] founder" → get decision maker
c. Search "[company name] funding" → get financial signals
d. Create lead record (see schema below)
5. Rate limit: 2-3 second delay between searchesFor each discovered lead, enrich with verified data:
<meta> tags, JS frameworks)Common patterns (test in order of likelihood):
1. first.last@company.com (most common, ~40%)
2. first@company.com (startups, ~25%)
3. firstlast@company.com (~15%)
4. flast@company.com (~10%)
5. first_last@company.com (~5%)
6. last.first@company.com (~3%)
7. first.l@company.com (~2%)
Verification approach:
- Check if company has public team page with email format
- Look for email in GitHub commits from company domain
- Check email format on Hunter.io or similar (if available)
- Search "[person name] email [company]"
- Check their personal website/blog for contactScore each lead 0-100 using this rubric:
| Signal | Points | How to Check |
|---|---|---|
| Industry matches ICP exactly | +10 | Compare to ICP config |
| Employee count in sweet spot | +5 | LinkedIn/website |
| Revenue in target range | +5 | Crunchbase/estimate |
| Located in target geography | +3 | Website/LinkedIn |
| Uses compatible tech stack | +4 | Job posts, BuiltWith |
| No competitor currently | +3 | Research, case studies |
| Signal | Points | How to Check |
|---|---|---|
| Title matches buyer persona | +8 | |
| C-Suite or VP level | +5 | |
| Has decision authority | +4 | Title + company size |
| Active on LinkedIn (posts monthly) | +3 | LinkedIn activity |
| Signal | Points | How to Check |
|---|---|---|
| Recently posted about relevant pain | +8 | LinkedIn/Twitter |
| Company hiring for roles you'd replace | +7 | Job boards |
| Attended relevant industry event | +5 | Conference lists |
| Downloaded competitor content | +3 | Hard to verify, skip if unknown |
| Searched for solution keywords | +2 | Hard to verify, skip if unknown |
| Signal | Points | How to Check |
|---|---|---|
| New in role (< 90 days) | +5 | LinkedIn start date |
| Company just raised funding | +4 | Crunchbase/news |
| End of quarter (budget flush) | +3 | Calendar |
| Company growing fast (hiring surge) | +3 | Job postings count |
| Signal | Points | How to Check |
|---|---|---|
| Opened previous email | +4 | Email tracking |
| Visited your website | +3 | Analytics |
| Connected on LinkedIn | +2 | |
| Referred by someone | +1 | CRM notes |
Action: Immediate personalized outreach
Sequence: 5-touch hyper-personalized campaign
Timeline: Contact within 24 hours
Channel: Email → LinkedIn → Phone (if available)
Template: "CEO-to-CEO" or "Specific Pain" (see below)Action: Nurture sequence
Sequence: 7-touch value-first campaign
Timeline: Start within 48 hours
Channel: Email → LinkedIn
Template: "Value Insight" or "Case Study" (see below)Action: Add to newsletter + long-term nurture
Sequence: Monthly value content
Timeline: Bi-weekly touchpoints
Channel: Email only
Template: "Industry Report" or "Educational" (see below)Email 1 — Day 0 (The Hook)
Subject: [specific pain point] at [Company]?
Hi [First Name],
Noticed [Company] is [specific observation — hiring for X role / posted about Y challenge / using Z tool].
That usually means [pain point they're likely feeling].
We built [solution] that [specific result with number]. [Client name] cut their [metric] by [X%] in [timeframe].
Worth a 15-min call to see if it fits [Company]?
[Your name]Email 2 — Day 3 (The Proof)
Subject: Re: [original subject]
[First Name] — quick follow-up.
Here's exactly what we did for [similar company]: [1-sentence case study with specific numbers].
[Link to case study or calculator]
Happy to walk through how this maps to [Company].
[Your name]Email 3 — Day 7 (The Angle)
Subject: [industry trend] + [Company]
[First Name],
[Industry trend or stat that's relevant]. Companies like [Company] are [what smart companies are doing about it].
We help [type of company] [specific outcome]. Takes about [timeframe] to see results.
Open to a quick chat this week?
[Your name]Email 4 — Day 14 (The Breakup)
Subject: Should I close your file?
[First Name],
I've reached out a few times — totally understand if the timing isn't right.
If [pain point] becomes a priority, here's a [free resource] that might help: [link]
Either way, I'll stop filling your inbox. Just reply "yes" if you'd like to chat sometime.
[Your name]Email 1 — Lead with insight, not a pitch
Subject: [number] [industry] companies are doing [thing] wrong
Hi [First Name],
We analyzed [X] companies in [industry] and found that [surprising insight].
The ones getting it right are [what top performers do differently].
Put together a quick breakdown: [link to free resource/calculator]
Thought it'd be useful given what [Company] is building.
[Your name]Step 1: View their profile (creates notification) Step 2 (Day 2): Like/comment on their recent post (genuine, not generic) Step 3 (Day 4): Send connection request with note:
Hi [Name] — been following [Company]'s work in [space].
Particularly liked your take on [specific post topic].
Would love to connect.Step 4 (Day 7, after accepted): Send value message (NOT a pitch):
[Name] — saw you mentioned [challenge] in your recent post.
We put together [free resource] that addresses exactly that.
Thought you might find it useful: [link]{
"id": "lead-001",
"created": "2026-02-13",
"source": "web-search",
"company": {
"name": "Acme Corp",
"website": "https://acme.com",
"industry": "SaaS",
"employees": 150,
"revenue_est": "$20M",
"funding": "Series B — $15M (2025)",
"tech_stack": ["Salesforce", "AWS", "React"],
"location": "San Francisco, CA"
},
"contact": {
"first_name": "Jane",
"last_name": "Smith",
"title": "VP of Operations",
"email": "jane.smith@acme.com",
"email_verified": false,
"linkedin": "https://linkedin.com/in/janesmith",
"phone": null
},
"scoring": {
"company_score": 25,
"persona_score": 18,
"intent_score": 15,
"timing_score": 8,
"engagement_score": 0,
"total": 66,
"tier": "B"
},
"enrichment": {
"pain_signals": ["hiring 3 data analysts", "blog about manual reporting"],
"recent_news": ["Raised Series B in Jan 2026"],
"competitor_usage": "None detected",
"content_interests": ["data automation", "operational efficiency"]
},
"outreach": {
"status": "not_started",
"sequence": "value-first",
"emails_sent": 0,
"last_contacted": null,
"next_action": "2026-02-14",
"replies": [],
"notes": ""
},
"pipeline": {
"stage": "prospect",
"deal_value": null,
"probability": 0,
"next_step": "Initial outreach"
}
}PROSPECT → CONTACTED → REPLIED → MEETING_BOOKED → QUALIFIED → PROPOSAL → NEGOTIATION → CLOSED_WON / CLOSED_LOSTTrack these weekly to optimize your machine:
MORNING (agent runs autonomously):
1. Run 3-5 discovery searches (rotate queries)
2. Enrich any un-enriched leads from yesterday
3. Score new leads
4. Send Day-N emails for active sequences
5. Check for replies → flag for human review
6. Update pipeline stages
7. Report: "Found X leads, sent Y emails, Z replies"
WEEKLY:
1. Review Tier C leads — any moved to B/A?
2. Clean dead leads (no response after full sequence)
3. Analyze response rates by template — A/B test
4. Refresh ICP based on closed deals
5. Add new search queries based on wins# In your agent's heartbeat or cron:
1. Load ICP config
2. Run discovery for 1 search query
3. Enrich top 5 new leads
4. Score all unscored leads
5. Queue outreach for Tier A leads
6. Log results to daily briefcompany,contact,title,email,linkedin,score,tier,industry,employees,pain_signal
Acme Corp,Jane Smith,VP Ops,jane@acme.com,linkedin.com/in/jane,66,B,SaaS,150,hiring analysts# Lead Hunter Weekly Report — Week of [DATE]
## Pipeline Summary
- Total leads in system: [N]
- New leads this week: [N]
- Tier A: [N] | Tier B: [N] | Tier C: [N]
## Outreach Performance
- Emails sent: [N]
- Reply rate: [X%]
- Meetings booked: [N]
- Pipeline value added: $[X]
## Top Leads This Week
1. [Company] — [Contact] — Score: [X] — [Why they're hot]
2. [Company] — [Contact] — Score: [X] — [Why they're hot]
3. [Company] — [Contact] — Score: [X] — [Why they're hot]
## Insights
- Best performing search query: [query]
- Best performing email template: [template]
- Recommendation: [action to take]Built by AfrexAI — AI agents that actually sell.
© LeoYeAI, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
SKILL.md and 2 other files in skills/afrexai-lead-hunter of LeoYeAI/openclaw-master-skills.
Open the folder on GitHubat commit e5199b5
Afrexai Lead Hunter next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Afrexai Lead Hunter this skillLeoYeAI/openclaw-master-skills | 2.2k | — | ~4.4k | Automated safety check: Pass | MIT | |
| 100m Leadsgetagentseal/founder-playbook | 729 | — | ~2.3k | Automated safety check: Pass | MIT | |
| Google Maps API Skillbrowser-act/skills | 6.1k | 1 repos | ~1.4k | Automated safety check: Pass | MIT | |
| List Builderexplorium-ai/gtm-skills | 185 | — | ~1.5k | Automated safety check: Pass | MIT | |
| Lead Researcherborghei/Claude-Skills | 891 | — | ~1.5k | Automated safety check: Pass | MIT | |
| Lead Gen Tool Builderexplorium-ai/gtm-skills | 185 | — | ~1.8k | Automated safety check: Notes | MIT |
getagentseal/founder-playbook
Builds lead generation systems using Alex Hormozi's Core Four framework (warm outreach, content, cold outreach, paid ads), lead magnets, and Rule of 100.
browser-act/skills
This skill helps users automatically scrape business data from Google Maps using the BrowserAct Google Maps API.
explorium-ai/gtm-skills
Prospecting skill for Claude Code and Codex: build a targeted list of B2B prospects or businesses from a natural-language ICP brief using real-time company and contact data.
borghei/Claude-Skills
Qualify and prioritize sales leads against an ICP, score lead lists, and draft personalized outreach hooks.
explorium-ai/gtm-skills
Lead generation tool builder skill for Claude Code and Codex: scaffolds a complete, self-hostable, ZoomInfo-style B2B lead-generation web app — company & contact search UI, firmographic and…
minhnv0807/ai-business-skills
Plans B2B pipeline work from ICP definition and prospecting through lead scoring, outbound sequences, sales assets and MQL to SQL handoff, aiming at qualified pipeline.
LeoYeAI/openclaw-master-skills
Manages pipelines on a DevOps quality and efficiency platform through its OpenAPI: list workspaces and templates, create, update, run and cancel pipelines, and read run records.
LeoYeAI/openclaw-master-skills
Patches OpenClaw's Feishu extension so an edited document triggers an isolated agent session that reads the doc and replies inline, turning it into a live chat space.
LeoYeAI/openclaw-master-skills
Multi-context memory management system for OpenClaw agents with group-isolated storage, global shared memory, workspace organization, and group-specific skills isolation.
LeoYeAI/openclaw-master-skills
Runs a brand's AI-search visibility work end to end: diagnosing how AI platforms represent it, repositioning it, producing AI-optimized content and monitoring ongoing mentions.
LeoYeAI/openclaw-master-skills
Installs and authenticates the gws CLI, then automates Gmail, Drive, Sheets, Calendar, Docs, Chat and Tasks with ready-made recipes, persona bundles and security audits.
LeoYeAI/openclaw-master-skills
Runs four advisor roles, a fitness coach, nutritionist, data analyst and TCM practitioner, to build a health profile and track workouts, diet and wellness over time.
Categories
Enterprise-grade B2B lead generation, enrichment, scoring, and outreach sequencing for AI agents. Afrexai Lead Hunter is an agent skill from LeoYeAI/openclaw-master-skills. Enterprise-grade B2B lead generation, enrichment, scoring, and outreach sequencing for AI agents.
Afrexai Lead Hunter fits situations like: tasks that involve Lead generation; tasks that involve Cold outreach.
Run `npx skills add LeoYeAI/openclaw-master-skills --skill afrexai-lead-hunter -a claude-code`. Or copy the skill folder (skills/afrexai-lead-hunter in LeoYeAI/openclaw-master-skills) into .claude/skills/afrexai-lead-hunter in your project. Claude Code loads it when a task matches its description.
Run `npx skills add LeoYeAI/openclaw-master-skills --skill afrexai-lead-hunter -a codex`. Or copy the skill folder (skills/afrexai-lead-hunter in LeoYeAI/openclaw-master-skills) into .agents/skills/afrexai-lead-hunter in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add LeoYeAI/openclaw-master-skills --skill afrexai-lead-hunter -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/afrexai-lead-hunter, .gemini/skills/afrexai-lead-hunter, .github/skills/afrexai-lead-hunter and .opencode/skills/afrexai-lead-hunter in your project.
SKILL.md names no scripts, command-line tools or credentials: Afrexai Lead Hunter is instructions for the agent only.
SKILL.md names 3 domains. In commands or code: acme.com and linkedin.com; the agent is likely to contact these when it follows the instructions. As links in the text: afrexai-cto.github.io. This is read from the text; nothing was executed.
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
Afrexai Lead Hunter is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.
About 4.4k tokens (SKILL.md is roughly 18k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Afrexai Lead Hunter: 100m Leads (getagentseal/founder-playbook, 729 stars), Google Maps API Skill (browser-act/skills, 6.1k stars), List Builder (explorium-ai/gtm-skills, 185 stars) and Lead Researcher (borghei/Claude-Skills, 891 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
LeoYeAI (a GitHub user) maintains it in LeoYeAI/openclaw-master-skills, which has 2,161 GitHub stars. The repository holds 1,235 skills in this directory. The repository was last updated on July 20, 2026.
Source: LeoYeAI/openclaw-master-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.