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Lead Generation
by
qq63523555
· GitHub ↗
· v1.1.0
· MIT-0
79
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2
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Install in OpenClaw
/install lead-gen-xpoz
Description
Lead Generation — Find high-intent buyers in live Twitter, Instagram, and Reddit conversations. Auto-researches your product, generates targeted search queri...
README (SKILL.md)
Lead Generation
Find high-intent buyers from live social conversations.
Discovers leads expressing problems your product solves, complaining about competitors, or actively seeking solutions across Twitter, Instagram, and Reddit.
Setup
Run xpoz-setup skill. Verify: mcporter call xpoz.checkAccessKeyStatus
3-Phase Process
Phase 1: Product Research (One-Time)
Ask for product reference (website/GitHub/description). Use web_fetch/web_search to research. Build profile: product info, target audience, pain points, competitors, keywords. Validate with user.
Generate 12-18 queries across:
- Pain point queries — people expressing problems
- Competitor frustration — complaints about alternatives
- Tool/solution seeking — "recommend..."
- Industry discussion — target audience
Save to data/lead-generation/product-profile.json and search-queries.json.
Phase 2: Lead Discovery (Repeatable)
mcporter call xpoz.getTwitterPostsByKeywords query="GENERATED_QUERY" startDate="DATE"
mcporter call xpoz.checkOperationStatus operationId="op_..." # Poll every 5s
mcporter call xpoz.getTwitterUsersByKeywords query="..." # Find people
Repeat for Instagram/Reddit.
Phase 3: Scoring & Output
Score (1-10):
- Explicitly asking for solution: +3
- Complaining about competitor: +2
- Project blocked by pain: +2
- Active in target community: +1
- High engagement (>10 likes/5 comments): +1
- Recent (\x3C48h): +1
- Profile matches ICP: +1
- Selling competing solution: -3
Tiers: 8-10 Hot, 6-7 Warm, 5 Watchlist
Deduplicate via data/lead-generation/sent-leads.json (key: {platform}:{author}:{post_id}).
Output: Username, quote, URL, score, why fit, outreach draft, engagement, timestamp.
Outreach:
"I had the same problem! Ended up using [Product] — it does [capability]. [URL]
(Disclosure: I work with [Product])"
Tips
- Save profile once, reuse daily
- Quality > quantity
- Always disclose affiliations
- Draft only; user reviews/sends
Changelog
v1.1.0 (2026-04-13)
- Added
versionfield - Minor formatting improvements
v1.0.0 (2026-04-11)
- Initial release
Usage Guidance
This skill appears to do what it says (query an Xpoz MCP service via a local mcporter binary and save/search results), but there are gaps you should clarify before installing: 1) Confirm the mcporter npm package provenance — inspect its source (npmjs/GitHub) and what it executes, since it will be installed as a binary. 2) Ask the publisher to reconcile metadata: SKILL.md declares a dependency on an xpoz-setup skill, network host (mcp.xpoz.ai), and OAuth credentials, but the registry listing did not. Know where OAuth tokens are stored and who can access them. 3) The included _meta.json ownerId/version do not match the registry metadata — verify the publisher identity and that this is an official package from xpoz.ai. 4) Because the skill scrapes and stores social posts, consider privacy and TOS implications for target platforms and test the skill in a sandboxed environment first. If the publisher provides matching registry metadata, a clear explanation of the xpoz-setup OAuth flow, and a verifiable mcporter package source, the concerns above would be largely resolved.
Capability Analysis
Type: OpenClaw Skill
Name: lead-gen-xpoz
Version: 1.1.0
The skill bundle provides a lead generation workflow using the Xpoz MCP service (mcp.xpoz.ai) via the 'mcporter' tool. It includes instructions for the AI agent to research a product, generate search queries, and score leads found on social media platforms. The behavior is consistent with the stated purpose, and no indicators of malicious intent, data exfiltration, or unauthorized execution were found.
Capability Tags
Capability Assessment
Purpose & Capability
The name, description, and runtime instructions all describe discovering social posts and scoring leads and legitimately require a network-enabled connector (mcporter) and an xpoz account. Requiring the mcporter binary and an xpoz setup skill is coherent with the stated purpose. However, the registry-level metadata omitted the declared dependency on the xpoz-setup skill, network host (mcp.xpoz.ai), and the OAuth credential mentioned inside SKILL.md, which is an inconsistency worth flagging. Also the included _meta.json ownerId/version differ from registry metadata.
Instruction Scope
SKILL.md explicitly calls external commands (mcporter call ...) that will send query text to the vendor API and instructs use of web_fetch/web_search and saving results to local files (data/lead-generation/...). Those actions are within the declared purpose (product research, querying indexed social posts, saving leads). The instructions do not request arbitrary system files or environment variables beyond the connector and OAuth flow, but they do ask the agent to persist scraped social content locally and to use web_fetch — both are expected for this use case but carry privacy considerations.
Install Mechanism
The install spec is an npm package (mcporter) that installs a binary named mcporter. Installing an npm package is a moderate-risk install mechanism (package code will be written to disk and executed). No download-from-arbitrary-URL or obscure installers are present, but you should verify the mcporter package source and review what it installs and calls.
Credentials
At the platform/registry level no env vars or credentials were declared, but SKILL.md states the skill needs an Xpoz account authenticated via a separate xpoz-setup skill (OAuth 2.1) and lists a network host (mcp.xpoz.ai). The required credential and network access are reasonable for the described functionality, but the inconsistency between SKILL.md and the registry metadata (missing declared credentials/network/skill dependency) is concerning because it obfuscates what credentials/tokens will be requested and where they are stored/transmitted.
Persistence & Privilege
The skill does not request always:true, does not claim to modify other skills, and only writes its own data files under data/lead-generation/. It uses autonomous invocation by default (normal for skills) but does not request elevated persistence privileges.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install lead-gen-xpoz - After installation, invoke the skill by name or use
/lead-gen-xpoz - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.1.0
v1.1: Added version field and changelog
v1.0.0
Initial release of lead-gen-xpoz — automate social lead generation across Twitter, Instagram, and Reddit.
- Auto-researches your product to create a tailored lead-gen profile and targeted search queries.
- Finds high-intent buyers in live conversations using 1.5B+ indexed posts via Xpoz MCP.
- Scores, ranks, and deduplicates leads; outputs ready-to-personalize outreach drafts.
- Simple setup via xpoz-setup skill and mcporter CLI integration.
Metadata
Frequently Asked Questions
What is Lead Generation?
Lead Generation — Find high-intent buyers in live Twitter, Instagram, and Reddit conversations. Auto-researches your product, generates targeted search queri... It is an AI Agent Skill for Claude Code / OpenClaw, with 79 downloads so far.
How do I install Lead Generation?
Run "/install lead-gen-xpoz" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Lead Generation free?
Yes, Lead Generation is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does Lead Generation support?
Lead Generation is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Lead Generation?
It is built and maintained by qq63523555 (@qq63523555); the current version is v1.1.0.
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