Find Leads
eracle/OpenOutreach
Find qualified B2B leads with OpenOutreach — run openoutreach find N [emails], read the CSV it prints on stdout, and hand the rows to whatever sends.
Analyze inbound leads (form fills, demo requests) and score based on ICP fit, intent, and urgency.
$ npx skills add OneWave-AI/claude-skills --skill inbound-lead-qualifier -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install OneWave-AI/claude-skills inbound-lead-qualifier --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/OneWave-AI/claude-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/inbound-lead-qualifier .claude/skills/inbound-lead-qualifier && 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 "inbound-lead-qualifier" agent skill from https://github.com/OneWave-AI/claude-skills/tree/main/inbound-lead-qualifier into .claude/skills/inbound-lead-qualifier/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "inbound-lead-qualifier", 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/OneWave-AI/claude-skills/tree/main/inbound-lead-qualifierType 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 OneWave-AI/claude-skills --skill inbound-lead-qualifier -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install OneWave-AI/claude-skills inbound-lead-qualifier --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/OneWave-AI/claude-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/inbound-lead-qualifier .agents/skills/inbound-lead-qualifier && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "inbound-lead-qualifier" agent skill from https://github.com/OneWave-AI/claude-skills/tree/main/inbound-lead-qualifier into .agents/skills/inbound-lead-qualifier/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "inbound-lead-qualifier", 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 OneWave-AI/claude-skills --skill inbound-lead-qualifier -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install OneWave-AI/claude-skills inbound-lead-qualifier --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/OneWave-AI/claude-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/inbound-lead-qualifier .cursor/skills/inbound-lead-qualifier && 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 "inbound-lead-qualifier" agent skill from https://github.com/OneWave-AI/claude-skills/tree/main/inbound-lead-qualifier into .cursor/skills/inbound-lead-qualifier/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "inbound-lead-qualifier", 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/OneWave-AI/claude-skills.git --path inbound-lead-qualifier--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 OneWave-AI/claude-skills --skill inbound-lead-qualifier -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install OneWave-AI/claude-skills inbound-lead-qualifier --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/OneWave-AI/claude-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/inbound-lead-qualifier .gemini/skills/inbound-lead-qualifier && 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 "inbound-lead-qualifier" agent skill from https://github.com/OneWave-AI/claude-skills/tree/main/inbound-lead-qualifier into .gemini/skills/inbound-lead-qualifier/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "inbound-lead-qualifier", 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 OneWave-AI/claude-skills inbound-lead-qualifierInstalls 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 OneWave-AI/claude-skills --skill inbound-lead-qualifier -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/OneWave-AI/claude-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/inbound-lead-qualifier .github/skills/inbound-lead-qualifier && 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 "inbound-lead-qualifier" agent skill from https://github.com/OneWave-AI/claude-skills/tree/main/inbound-lead-qualifier into .github/skills/inbound-lead-qualifier/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "inbound-lead-qualifier", 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 OneWave-AI/claude-skills --skill inbound-lead-qualifier -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install OneWave-AI/claude-skills inbound-lead-qualifier --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/OneWave-AI/claude-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/inbound-lead-qualifier .opencode/skills/inbound-lead-qualifier && 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 "inbound-lead-qualifier" agent skill from https://github.com/OneWave-AI/claude-skills/tree/main/inbound-lead-qualifier into .opencode/skills/inbound-lead-qualifier/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "inbound-lead-qualifier", 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.
inbound-lead-qualifierAnalyze inbound leads (form fills, demo requests) and score based on ICP fit, intent, and urgency.
Inbound Lead Qualifier is an agent skill from OneWave-AI/claude-skills. Analyze inbound leads (form fills, demo requests) and score based on ICP fit, intent, and urgency. Auto-generates qualification questions, routes to right rep, and suggests personalized first touch. Use for qualifying and routing inbound leads at scale.
Its SKILL.md is about 1.4k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It sits in Marketing & SEO, covering Lead generation. The repository describes itself as: 200+ production-ready Claude Code skills for sales, marketing, design, engineering, and AI agent architecture. Built and maintained by OneWave AI. The licence is MIT.
3 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit fc5b785. 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 markdown).
From the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md.
From 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.
Inbound Lead Qualifier loads about 1.4k tokens when it runs. Until then it costs about 69 tokens; SKILL.md has 279 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 OneWave-AI/claude-skills at commit fc5b785, republished under its MIT licence (© OneWave-AI). 279 words, ~1,378 tokens.
.claude/skills/inbound-lead-qualifier/SKILL.md (or your agent's skills folder).Turn inbound leads into qualified opportunities in minutes, not days.
You are an expert at lead qualification and routing who helps sales teams maximize conversion from inbound interest. Your mission is to instantly qualify leads, prioritize them, and route to the right rep with perfect context.
ICP Fit (0-40 points):
Intent (0-30 points):
Urgency (0-30 points):
Total Score: 0-100
# Inbound Lead Analysis
**Lead**: [Name] from [Company]
**Source**: [Form/Demo Request/etc.]
**Received**: [Date/Time]
**Lead Score**: [X]/100
---
## Quick Assessment
**Priority**: HOT / WARM / COOL / NURTURE
**Recommendation**: [Call now / Call today / Email first / Add to nurture]
**Assign To**: [Rep Name] (owns [territory/industry])
**First Message**: [Suggested opening line]
---
## Lead Scoring Breakdown
**ICP Fit**: 35/40 STRONG FIT
- Company Size: 8/10 (250 employees, target is 200-500)
- Industry: 10/10 (Perfect match: B2B SaaS)
- Tech Stack: 9/10 (Using 3/4 target technologies)
- Budget: 8/10 (Funded company, likely has budget)
**Intent**: 25/30 HIGH INTENT
- Requested demo (not just content download)
- Visited pricing page 3x
- Specific use case mentioned in form
**Urgency**: 20/30 MODERATE
- Timeline: "Next quarter"
- Not immediate but real need
- Current solution expires in 60 days
**Total**: 80/100 **HOT LEAD**
---
## Lead Details
**Contact**:
- Name: [First Last]
- Title: [Job Title]
- Email: [Email]
- Phone: [Phone]
- LinkedIn: [URL]
**Company**:
- Name: [Company]
- Industry: [Industry]
- Size: [X] employees
- Location: [City, State]
- Website: [URL]
- Funding: [Series X, $Y raised]
**Engagement History**:
- First touch: [Date]
- Page views: [X]
- Content downloaded: [List]
- Email opens: [X]%
- Demo request: [Date]
---
## Qualification Questions
**Must-Ask (Critical)**:
1. "What's driving you to look at [product type] right now?"
2. "What are you currently using for [use case]?"
3. "When do you need this in place?"
4. "Who else is involved in this decision?"
**Good-to-Ask (Context)**:
5. "What would success look like?"
6. "What's your budget range?"
7. "Have you looked at other options?"
**Expected Answers** (based on data):
- Likely pain: [Problem they mentioned]
- Current solution: [Competitor likely]
- Decision maker: [Probably their boss, [Title]]
- Budget: $[Estimated based on company size]
---
## Recommended Outreach
**Call Script** (within 1 hour):Hi [Name], this is [Your Name] from [Company].
I see you requested a demo about 30 minutes ago - thanks for your interest!
Quick question before I show you around: what's prompting you to look at [product category] right now?
[Listen]
Got it. And are you currently using [competitor/manual process]?
[Listen]
Perfect. Let me show you exactly how we solve that...
**Email Template** (if no answer):Subject: Re: Demo Request - [Company Name]
Hi [Name],
Just tried calling (missed you!) about your demo request.
Quick context before we connect:
I work with a lot of [their role] at [similar companies] who are dealing with [their likely pain].
Most common questions I get:
Happy to answer these + show you around.
When's good for a quick 15-min call?
[Your Name]
---
## Routing Logic
**Assign To**: [Rep Name]
**Why This Rep**:
- Territory: [Geographic/Industry match]
- Experience: [Has closed similar companies]
- Availability: [Available this week]
- Track record: [High win rate on similar leads]
**Briefing for Rep**:
> "Hot lead from [Company]. They're a [size] [industry] company using [current solution]. Requested demo specifically for [use case]. Score: 80/100. They mentioned [timeline]. Call within 1 hour."
---
## Lead Intelligence
**Similar Customers**:
- [Customer 1]: Similar size, closed in 30 days
- [Customer 2]: Same industry, $50K deal
- [Customer 3]: Used same tech stack
**Likely Objections**:
1. Price (budget concern)
2. Implementation time
3. Integration with [their tech]
**Competitive Intel**:
- Probably comparing to [Competitor]
- [Competitor] weakness: [What we do better]
---
## Next Steps
**Immediate (1 hour)**:
- [ ] Call lead (use script above)
- [ ] If no answer, send email
- [ ] Schedule demo for [Date]
**Short-term (24 hours)**:
- [ ] Send calendar invite with prep questions
- [ ] Research company deeper
- [ ] Prepare custom demo
- [ ] Identify decision maker on LinkedIn
**Follow-up**:
- [ ] Demo completed
- [ ] Proposal sent
- [ ] Create opportunity in CRM
Remember: Speed to lead matters - calling within 5 minutes = 10x better conversion than 30 minutes!
© OneWave-AI, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Just SKILL.md in inbound-lead-qualifier of OneWave-AI/claude-skills.
Open the folder on GitHubat commit fc5b785
Inbound Lead Qualifier 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 |
|---|---|---|---|---|---|---|
| Inbound Lead Qualifier this skillOneWave-AI/claude-skills | 336 | — | ~1.4k | Automated safety check: Pass | MIT | |
| Find Leadseracle/OpenOutreach | 3.2k | — | ~4.6k | Automated safety check: Pass | GPL-3.0 | |
| 100m Leadsgetagentseal/founder-playbook | 729 | — | ~2.3k | Automated safety check: Pass | MIT | |
| Business Contact and Social Links Finderbrowser-act/skills | 6.1k | 1 repos | ~1.6k | Automated safety check: Pass | MIT | |
| GitHub Lead GenDucksss/codex-profiles | 180 | — | ~1k | Automated safety check: Pass | MIT | |
| LinkedIn Ads Managementivangfalco/ads-skills | 279 | — | ~1.7k | Automated safety check: Pass | Custom licence |
eracle/OpenOutreach
Find qualified B2B leads with OpenOutreach — run openoutreach find N [emails], read the CSV it prints on stdout, and hand the rows to whatever sends.
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
Finds a company's official website and social profiles from its name, or collects social links from a website URL, using BrowserAct templates run by a Python script.
Ducksss/codex-profiles
A skill your agent uses when running GitHub lead generation for codex-profiles.
ivangfalco/ads-skills
Routes LinkedIn Ads work for B2B SaaS to the right playbook: campaign planning, performance analysis, account audits, creative, scaling and account-based campaigns.
freekmurze/dotfiles
When the user wants to plan, evaluate, or build a free tool for marketing purposes — lead generation, SEO value, or brand awareness.
OneWave-AI/claude-skills
Finds duplicate and junk records in a CRM CSV export with fuzzy matching, normalizes fields and writes a reviewable merge plan plus import-ready files without touching the live CRM.
OneWave-AI/claude-skills
Repairs broken decks and PDFs exported from Claude Design or similar AI deck generators: clipped text, wrong fonts and corrupted .pptx package structure.
OneWave-AI/claude-skills
Writes, explains, debugs, and optimizes BI calculations - Power BI / Fabric DAX measures and calculated columns, Tableau calculated fields (FIXED/INCLUDE/EXCLUDE LOD expressions, table…
OneWave-AI/claude-skills
Categorizes transactions, reconciles bank and card statements to the ledger, works a month-end checklist and prepares a close package, without ever forcing a balance.
OneWave-AI/claude-skills
Combines CSV, TSV and Excel files into one verified table with pandas, by stacking or joining, mapping columns, normalizing keys and removing duplicates.
OneWave-AI/claude-skills
Pulls financial statement numbers for US public companies straight from SEC EDGAR's free official XBRL APIs (companyfacts, companyconcept, frames, submissions) into a cited table.
Categories
Analyze inbound leads (form fills, demo requests) and score based on ICP fit, intent, and urgency. Inbound Lead Qualifier is an agent skill from OneWave-AI/claude-skills. Analyze inbound leads (form fills, demo requests) and score based on ICP fit, intent, and urgency.
Inbound Lead Qualifier fits situations like: qualifying and routing inbound leads at scale; tasks that involve Lead generation.
Run `npx skills add OneWave-AI/claude-skills --skill inbound-lead-qualifier -a claude-code`. Or copy the skill folder (inbound-lead-qualifier in OneWave-AI/claude-skills) into .claude/skills/inbound-lead-qualifier in your project. Claude Code loads it when a task matches its description.
Run `npx skills add OneWave-AI/claude-skills --skill inbound-lead-qualifier -a codex`. Or copy the skill folder (inbound-lead-qualifier in OneWave-AI/claude-skills) into .agents/skills/inbound-lead-qualifier 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 OneWave-AI/claude-skills --skill inbound-lead-qualifier -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/inbound-lead-qualifier, .gemini/skills/inbound-lead-qualifier, .github/skills/inbound-lead-qualifier and .opencode/skills/inbound-lead-qualifier in your project.
SKILL.md names no scripts, command-line tools or credentials: Inbound Lead Qualifier is instructions for the agent only.
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. 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.
Inbound Lead Qualifier is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 1.4k tokens (SKILL.md is roughly 5.5k 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 Inbound Lead Qualifier: Find Leads (eracle/OpenOutreach, 3.2k stars), 100m Leads (getagentseal/founder-playbook, 729 stars), Business Contact and Social Links Finder (browser-act/skills, 6.1k stars) and GitHub Lead Gen (Ducksss/codex-profiles, 180 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
OneWave-AI (a GitHub organization) maintains it in OneWave-AI/claude-skills, which has 336 GitHub stars. The repository holds 69 skills in this directory. The repository was last updated on October 2, 2026.
Source: OneWave-AI/claude-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.