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    PeerOutreach: B2B Micro Research & Lead Engagement Core

    1

    A B2B microservice for real-time lead research and hyper-personalized engagement brief generation via JSON.

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    PeerOutreach: B2B Micro Research & Lead Engagement Core

    PeerOutreach: B2B Micro Research & Lead Engagement Core

    Example session with this skill installed

    Integrate lead research for @dev_architect_xyz who just posted about Rust memory safety. Our product is a static analysis tool for memory leaks. Output tone is peer.

    • Read your context and instructions
    • Compiled the peeroutreach

    Processed research for @dev_architect_xyz. Verified anchor point found in recent post regarding Rust memory safety and ownership model nuances.

    Engagement Payload

    {
      "research_payload": {
        "verified_public_anchor": "Recent technical thread on Rust memory safety, specifically discussing the limitations of the current borrow checker in complex graph structures.",
        "identified_delivery_route": "Public Channel DM / Thread Reply"
      },
      "engagement_brief": {
        "subject_line": "n/a",
        "message_body": "Read your thread on Rust memory safety and the borrow checker's behavior with graph structures. The edge cases you mentioned with self-referential types are exactly why we built our analyzer.\n\nI'm working on a static analysis tool that detects specific memory leaks in complex Rust trees that the compiler might miss. It's currently in open beta for developers.\n\nIf you want to run it against your project, here is the link: https://rust-guard.io. If not, thanks for the detailed thread, it was a solid read.",
        "strategic_rationale": "Directly references a specific technical niche (graph structure memory safety) to establish peer credibility. Uses a functional value proposition without inflated metrics. Zero-pressure close reduces friction."
      }
    }
    

    Next steps

    1. Review the message_body for final tone alignment.
    2. Verify the identified_delivery_route is open in the target's bio.
    3. Map the engagement_brief fields to your CRM outbound module.

    Connects securely to your tools. The creator never sees your data.

    What you get

    Generate personalized pitches for B2B CRM leadsExtract technical anchor points from public dev profilesAutomate peer-to-peer influencer outreach briefsStandardize pitch generation via machine-readable JSON

    About this skill

    Generic cold-email templates trigger spam filters and ruin sender reputation. This skill provides a deterministic research and engagement core for developers building CRM or outreach software. It replaces vague marketing copy with hyper-personalized, peer-to-peer briefs based on real-time public metadata.

    What it does

    • Public Footprint Research fetches authorized metadata like bios, summaries, and recent posts to find unique signals.
    • Anchor Point Extraction isolates exactly one non-generic technical or topical mention from public sources to ground the outreach.
    • Pitch Compilation generates low-pressure engagement briefs featuring a contextual opener, plain value prop, and zero-friction closer.
    • JSON Delivery returns machine-readable structures ready for integration into B2B sales pipelines or influencer platforms.
    • Validation Guardrails strictly prevents bulk array injections and refuses to fabricate user milestones or relationships.

    How it works

    1. Input Payload sends a single target identifier and product context to the skill using the defined JSON schema.
    2. Deterministic Scraping analyzes the target's public channel to verify a specific, non-generic anchor point.
    3. Structured Generation builds the message body based on the verified anchor, avoiding sales-heavy language and obligation markers.
    4. Integration returns the strategic rationale and message components to the host system for review or delivery.

    Frameworks & tools

    Built for B2B SaaS stacks using Python, FastAPI, and CRM integrations. It adheres to standard JSON schemas for easy routing between backend microservices.

    Why this beats prompting it yourself

    Writing prompts for personalization often leads to "hallucinated" compliments or overly aggressive sales tones. This skill uses a restricted, multi-step pipeline that prioritizes high deliverability and deterministic logic over creative fluff.

    Use cases

    • Automating lead research for B2B CRM platforms.
    • Building influencer marketing tools that require personalized outreach at scale.
    • Generating low-pressure pitch briefs for sales development representatives.

    Known limitations

    Locked to one target per transaction to prevent bulk spamming. Requires network access to fetch public metadata. Does not support private profile scraping or non-verified data vectors.

    How to install

    Works the same in every agent - Claude, Cursor, Codex, Copilot and 20+ more.

    ~30 seconds
    1. 1

      Download the ZIP

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    2. 2

      Unzip into your skills folder

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    3. 3

      Ask your agent to use it

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    What's inside

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