Crawler Summary

linkedin-profile-optimizer answer-first brief

AI-powered LinkedIn Profile Optimizer that audits, rewrites, and enhances LinkedIn profiles using CrewAI, OpenAI APIs, and Streamlit. πŸ’Ό LinkedIn Profile Optimizer An AI-powered LinkedIn Profile Optimizer built using CrewAI, OpenAI APIs, and Streamlit. This application analyzes LinkedIn profiles and rewrites them for stronger recruiter appeal, ATS optimization, and professional branding. --- πŸš€ Features βœ… Profile Audit βœ… Headline Optimization βœ… About Section Enhancement βœ… Experience Bullet Rewriting βœ… ATS-Friendly Suggestions βœ… LinkedIn Headline Va Capability contract not published. No trust telemetry is available yet. Last updated 10/9/2026.

Freshness

Last checked 10/9/2026

Best For

linkedin-profile-optimizer is best for crewai, multi-agent workflows where OpenClaw compatibility matters.

Not Ideal For

Contract metadata is missing or unavailable for deterministic execution.

Evidence Sources Checked

editorial-content, GITHUB REPOS, runtime-metrics, public facts pack

Agent DossierGITHUB REPOSSafety: 66/100

linkedin-profile-optimizer

AI-powered LinkedIn Profile Optimizer that audits, rewrites, and enhances LinkedIn profiles using CrewAI, OpenAI APIs, and Streamlit. πŸ’Ό LinkedIn Profile Optimizer An AI-powered LinkedIn Profile Optimizer built using CrewAI, OpenAI APIs, and Streamlit. This application analyzes LinkedIn profiles and rewrites them for stronger recruiter appeal, ATS optimization, and professional branding. --- πŸš€ Features βœ… Profile Audit βœ… Headline Optimization βœ… About Section Enhancement βœ… Experience Bullet Rewriting βœ… ATS-Friendly Suggestions βœ… LinkedIn Headline Va

OpenClawself-declared

Public facts

4

Change events

1

Artifacts

0

Freshness

Oct 9, 2026

Verifiededitorial-contentNo verified compatibility signals

Capability contract not published. No trust telemetry is available yet. Last updated 10/9/2026.

Trust evidence available

Trust score

Unknown

Compatibility

OpenClaw

Freshness

Oct 9, 2026

Vendor

Sonuprakash Cell

Artifacts

0

Benchmarks

0

Last release

Unpublished

Executive Summary

Key links, install path, and a quick operational read before the deeper crawl record.

Verifiededitorial-content

Summary

Capability contract not published. No trust telemetry is available yet. Last updated 10/9/2026.

Setup snapshot

  1. 1

    Setup complexity is LOW. This package is likely designed for quick installation with minimal external side-effects.

  2. 2

    Final validation: Expose the agent to a mock request payload inside a sandbox and trace the network egress before allowing access to real customer data.

Evidence Ledger

Everything public we have scraped or crawled about this agent, grouped by evidence type with provenance.

Verifiededitorial-content
Vendor (1)

Vendor

Sonuprakash Cell

profilemedium
Observed Oct 9, 2026Source linkProvenance
Compatibility (1)

Protocol compatibility

OpenClaw

contractmedium
Observed Oct 9, 2026Source linkProvenance
Security (1)

Handshake status

UNKNOWN

trustmedium
Observed unknownSource linkProvenance
Integration (1)

Crawlable docs

6 indexed pages on the official domain

search_documentmedium
Observed Apr 15, 2026Source linkProvenance

Release & Crawl Timeline

Merged public release, docs, artifact, benchmark, pricing, and trust refresh events.

Self-declaredagent-index

Artifacts Archive

Extracted files, examples, snippets, parameters, dependencies, permissions, and artifact metadata.

Self-declaredGITHUB REPOS

Extracted files

0

Examples

6

Snippets

0

Languages

python

Executable Examples

text

User Input
   ↓
Profile Parser
   ↓
Profile Auditor Agent
   ↓
Headline Rewriter Agent
   ↓
Experience Optimizer Agent
   ↓
Headline Length Validation
   ↓
Markdown Generator
   ↓
linkedin_profile.md

text

linkedin-profile-optimizer/
β”‚
β”œβ”€β”€ knowledge/
β”‚   └── user_preference.txt
β”‚
β”œβ”€β”€ output/
β”‚   └── linkedin_profile.md
β”‚
β”œβ”€β”€ src/linkedin_profile_optimizer/
β”‚
β”‚   β”œβ”€β”€ agents/
β”‚   β”‚   β”œβ”€β”€ profile_auditor.py
β”‚   β”‚   β”œβ”€β”€ headline_rewriter.py
β”‚   β”‚   └── experience_optimizer.py
β”‚
β”‚   β”œβ”€β”€ services/
β”‚   β”‚   β”œβ”€β”€ openai_service.py
β”‚   β”‚   └── markdown_generator.py
β”‚
β”‚   β”œβ”€β”€ tools/
β”‚   β”‚   β”œβ”€β”€ headline_length_checker.py
β”‚   β”‚   └── profile_parser.py
β”‚
β”‚   β”œβ”€β”€ utils/
β”‚   β”‚   └── prompts.py
β”‚
β”‚   β”œβ”€β”€ crew.py
β”‚   β”œβ”€β”€ main.py
β”‚   └── streamlit_app.py
β”‚
β”œβ”€β”€ tests/
β”œβ”€β”€ .env
β”œβ”€β”€ README.md
└── pyproject.toml

bash

git clone https://github.com/your-username/linkedin-profile-optimizer.git

bash

cd linkedin-profile-optimizer

bash

python -m venv .venv

bash

.venv\Scripts\activate

Docs & README

Full documentation captured from public sources, including the complete README when available.

Self-declaredGITHUB REPOS

Docs source

GITHUB REPOS

Editorial quality

ready

AI-powered LinkedIn Profile Optimizer that audits, rewrites, and enhances LinkedIn profiles using CrewAI, OpenAI APIs, and Streamlit. πŸ’Ό LinkedIn Profile Optimizer An AI-powered LinkedIn Profile Optimizer built using CrewAI, OpenAI APIs, and Streamlit. This application analyzes LinkedIn profiles and rewrites them for stronger recruiter appeal, ATS optimization, and professional branding. --- πŸš€ Features βœ… Profile Audit βœ… Headline Optimization βœ… About Section Enhancement βœ… Experience Bullet Rewriting βœ… ATS-Friendly Suggestions βœ… LinkedIn Headline Va

Full README

πŸ’Ό LinkedIn Profile Optimizer

An AI-powered LinkedIn Profile Optimizer built using CrewAI, OpenAI APIs, and Streamlit.

This application analyzes LinkedIn profiles and rewrites them for stronger recruiter appeal, ATS optimization, and professional branding.


πŸš€ Features

βœ… Profile Audit
βœ… Headline Optimization
βœ… About Section Enhancement
βœ… Experience Bullet Rewriting
βœ… ATS-Friendly Suggestions
βœ… LinkedIn Headline Validation
βœ… Markdown Export
βœ… Multi-Agent AI Workflow


🧠 AI Agents

1. Profile Auditor

Analyzes:

  • headline quality
  • about section
  • experience section
  • keyword optimization
  • recruiter appeal

Provides:

  • scores
  • weaknesses
  • recommendations

2. Headline & About Rewriter

Generates:

  • 3 optimized LinkedIn headline variations
  • professionally rewritten About section

Features:

  • ATS optimization
  • recruiter-focused writing
  • keyword enhancement

3. Experience Bullet Optimizer

Rewrites experience bullets using:

  • stronger action verbs
  • measurable impact
  • concise professional wording
  • achievement-focused language

πŸ›  Custom Tool

HeadlineLengthChecker

Checks whether generated LinkedIn headlines stay within LinkedIn's 220-character limit.

Returns:

  • PASS / FAIL
  • remaining characters
  • exceeded character count

πŸ—οΈ Project Architecture

User Input
   ↓
Profile Parser
   ↓
Profile Auditor Agent
   ↓
Headline Rewriter Agent
   ↓
Experience Optimizer Agent
   ↓
Headline Length Validation
   ↓
Markdown Generator
   ↓
linkedin_profile.md

πŸ“‚ Project Structure

linkedin-profile-optimizer/
β”‚
β”œβ”€β”€ knowledge/
β”‚   └── user_preference.txt
β”‚
β”œβ”€β”€ output/
β”‚   └── linkedin_profile.md
β”‚
β”œβ”€β”€ src/linkedin_profile_optimizer/
β”‚
β”‚   β”œβ”€β”€ agents/
β”‚   β”‚   β”œβ”€β”€ profile_auditor.py
β”‚   β”‚   β”œβ”€β”€ headline_rewriter.py
β”‚   β”‚   └── experience_optimizer.py
β”‚
β”‚   β”œβ”€β”€ services/
β”‚   β”‚   β”œβ”€β”€ openai_service.py
β”‚   β”‚   └── markdown_generator.py
β”‚
β”‚   β”œβ”€β”€ tools/
β”‚   β”‚   β”œβ”€β”€ headline_length_checker.py
β”‚   β”‚   └── profile_parser.py
β”‚
β”‚   β”œβ”€β”€ utils/
β”‚   β”‚   └── prompts.py
β”‚
β”‚   β”œβ”€β”€ crew.py
β”‚   β”œβ”€β”€ main.py
β”‚   └── streamlit_app.py
β”‚
β”œβ”€β”€ tests/
β”œβ”€β”€ .env
β”œβ”€β”€ README.md
└── pyproject.toml

βš™οΈ Tech Stack

| Technology | Purpose | |---|---| | Python | Backend | | CrewAI | Multi-Agent Workflow | | OpenAI API | AI Generation | | Streamlit | Frontend UI | | Pydantic | Validation | | Markdown | Output Generation |


πŸ“¦ Installation

1. Clone Repository

git clone https://github.com/your-username/linkedin-profile-optimizer.git

2. Navigate to Project

cd linkedin-profile-optimizer

3. Create Virtual Environment

Windows

python -m venv .venv

Activate Environment

.venv\Scripts\activate

4. Install Dependencies

pip install -r requirements.txt

πŸ”‘ Environment Variables

Create a .env file:

OPENAI_API_KEY=your_openai_api_key

▢️ Run Application

Run Streamlit UI

streamlit run src/linkedin_profile_optimizer/streamlit_app.py

Run CLI Version

python -m linkedin_profile_optimizer.main

πŸ§ͺ Example Input

AI Engineer | Python | LLMs

About
Passionate AI developer building intelligent systems.

Experience
Built chatbot using OpenAI APIs
Created RAG pipeline
Worked on Streamlit frontend

Skills
Python, OpenAI, LangChain

πŸ“„ Example Output

Optimized Headlines

  • AI Engineer | OpenAI | LLMs | RAG
  • Generative AI Developer | Python | NLP
  • Machine Learning Enthusiast building AI solutions

Optimized Experience

  • Developed AI-powered chatbot using OpenAI APIs, improving automated response efficiency by 40%.
  • Built Retrieval-Augmented Generation (RAG) pipelines for intelligent document querying.
  • Designed interactive Streamlit interfaces to improve user engagement and workflow usability.

πŸ“ Output File

Generated automatically:

output/linkedin_profile.md

🎯 Future Improvements

  • PDF Export
  • Resume Upload
  • ATS Match Scoring
  • Job Description Comparison
  • Vector Database Integration
  • LinkedIn Post Generator
  • Career Recommendation Agent
  • Multi-language Support

πŸ“Έ Screenshots

Add screenshots here after UI completion.


🀝 Contributing

Pull requests are welcome.

For major changes:

  • open an issue first
  • discuss proposed improvements

πŸ“œ License

MIT License


πŸ‘¨β€πŸ’» Author

Built with ❀️ using AI and CrewAI.

Contract & API

Machine endpoints, protocol fit, contract coverage, invocation examples, and guardrails for agent-to-agent use.

MissingGITHUB REPOS

Contract coverage

Status

missing

Auth

None

Streaming

No

Data region

Unspecified

Protocol support

OpenClaw: self-declared

Requires: none

Forbidden: none

Guardrails

Operational confidence: low

No positive guardrails captured.
Invocation examples
curl -s "https://www.xpersona.co/api/v1/agents/crewai-sonuprakash-cell-linkedin-profile-optimizer/snapshot"
curl -s "https://www.xpersona.co/api/v1/agents/crewai-sonuprakash-cell-linkedin-profile-optimizer/contract"
curl -s "https://www.xpersona.co/api/v1/agents/crewai-sonuprakash-cell-linkedin-profile-optimizer/trust"

Reliability & Benchmarks

Trust and runtime signals, benchmark suites, failure patterns, and practical risk constraints.

Missingruntime-metrics

Trust signals

Handshake

UNKNOWN

Confidence

unknown

Attempts 30d

unknown

Fallback rate

unknown

Runtime metrics

Observed P50

unknown

Observed P95

unknown

Rate limit

unknown

Estimated cost

unknown

Do not use if

Contract metadata is missing or unavailable for deterministic execution.
No benchmark suites or observed failure patterns are available.

Media & Demo

Every public screenshot, visual asset, demo link, and owner-provided destination tied to this agent.

Missingno-media
No screenshots, media assets, or demo links are available.

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Neighboring agents from the same protocol and source ecosystem for comparison and shortlist building.

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Machine Appendix

Contract JSON

{
  "contractStatus": "missing",
  "authModes": [],
  "requires": [],
  "forbidden": [],
  "supportsMcp": false,
  "supportsA2a": false,
  "supportsStreaming": false,
  "inputSchemaRef": null,
  "outputSchemaRef": null,
  "dataRegion": null,
  "contractUpdatedAt": null,
  "sourceUpdatedAt": null,
  "freshnessSeconds": null
}

Invocation Guide

{
  "preferredApi": {
    "snapshotUrl": "https://www.xpersona.co/api/v1/agents/crewai-sonuprakash-cell-linkedin-profile-optimizer/snapshot",
    "contractUrl": "https://www.xpersona.co/api/v1/agents/crewai-sonuprakash-cell-linkedin-profile-optimizer/contract",
    "trustUrl": "https://www.xpersona.co/api/v1/agents/crewai-sonuprakash-cell-linkedin-profile-optimizer/trust"
  },
  "curlExamples": [
    "curl -s \"https://www.xpersona.co/api/v1/agents/crewai-sonuprakash-cell-linkedin-profile-optimizer/snapshot\"",
    "curl -s \"https://www.xpersona.co/api/v1/agents/crewai-sonuprakash-cell-linkedin-profile-optimizer/contract\"",
    "curl -s \"https://www.xpersona.co/api/v1/agents/crewai-sonuprakash-cell-linkedin-profile-optimizer/trust\""
  ],
  "jsonRequestTemplate": {
    "query": "summarize this repo",
    "constraints": {
      "maxLatencyMs": 2000,
      "protocolPreference": [
        "OPENCLEW"
      ]
    }
  },
  "jsonResponseTemplate": {
    "ok": true,
    "result": {
      "summary": "...",
      "confidence": 0.9
    },
    "meta": {
      "source": "GITHUB_REPOS",
      "generatedAt": "2026-10-10T01:53:06.692Z"
    }
  },
  "retryPolicy": {
    "maxAttempts": 3,
    "backoffMs": [
      500,
      1500,
      3500
    ],
    "retryableConditions": [
      "HTTP_429",
      "HTTP_503",
      "NETWORK_TIMEOUT"
    ]
  }
}

Trust JSON

{
  "status": "unavailable",
  "handshakeStatus": "UNKNOWN",
  "verificationFreshnessHours": null,
  "reputationScore": null,
  "p95LatencyMs": null,
  "successRate30d": null,
  "fallbackRate": null,
  "attempts30d": null,
  "trustUpdatedAt": null,
  "trustConfidence": "unknown",
  "sourceUpdatedAt": null,
  "freshnessSeconds": null
}

Capability Matrix

{
  "rows": [
    {
      "key": "OPENCLEW",
      "type": "protocol",
      "support": "unknown",
      "confidenceSource": "profile",
      "notes": "Listed on profile"
    },
    {
      "key": "crewai",
      "type": "capability",
      "support": "supported",
      "confidenceSource": "profile",
      "notes": "Declared in agent profile metadata"
    },
    {
      "key": "multi-agent",
      "type": "capability",
      "support": "supported",
      "confidenceSource": "profile",
      "notes": "Declared in agent profile metadata"
    }
  ],
  "flattenedTokens": "protocol:OPENCLEW|unknown|profile capability:crewai|supported|profile capability:multi-agent|supported|profile"
}

Facts JSON

[
  {
    "factKey": "vendor",
    "category": "vendor",
    "label": "Vendor",
    "value": "Sonuprakash Cell",
    "href": "https://github.com/sonuprakash-cell/linkedin-profile-optimizer",
    "sourceUrl": "https://github.com/sonuprakash-cell/linkedin-profile-optimizer",
    "sourceType": "profile",
    "confidence": "medium",
    "observedAt": "2026-10-09T21:09:33.124Z",
    "isPublic": true
  },
  {
    "factKey": "protocols",
    "category": "compatibility",
    "label": "Protocol compatibility",
    "value": "OpenClaw",
    "href": "https://www.xpersona.co/api/v1/agents/crewai-sonuprakash-cell-linkedin-profile-optimizer/contract",
    "sourceUrl": "https://www.xpersona.co/api/v1/agents/crewai-sonuprakash-cell-linkedin-profile-optimizer/contract",
    "sourceType": "contract",
    "confidence": "medium",
    "observedAt": "2026-10-09T21:09:33.124Z",
    "isPublic": true
  },
  {
    "factKey": "docs_crawl",
    "category": "integration",
    "label": "Crawlable docs",
    "value": "6 indexed pages on the official domain",
    "href": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
    "sourceUrl": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
    "sourceType": "search_document",
    "confidence": "medium",
    "observedAt": "2026-04-15T05:03:46.393Z",
    "isPublic": true
  },
  {
    "factKey": "handshake_status",
    "category": "security",
    "label": "Handshake status",
    "value": "UNKNOWN",
    "href": "https://www.xpersona.co/api/v1/agents/crewai-sonuprakash-cell-linkedin-profile-optimizer/trust",
    "sourceUrl": "https://www.xpersona.co/api/v1/agents/crewai-sonuprakash-cell-linkedin-profile-optimizer/trust",
    "sourceType": "trust",
    "confidence": "medium",
    "observedAt": null,
    "isPublic": true
  }
]

Change Events JSON

[
  {
    "eventType": "docs_update",
    "title": "Docs refreshed: Sign in to GitHub Β· GitHub",
    "description": "Fresh crawlable documentation was indexed for the official domain.",
    "href": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
    "sourceUrl": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
    "sourceType": "search_document",
    "confidence": "medium",
    "observedAt": "2026-04-15T05:03:46.393Z",
    "isPublic": true
  }
]

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