AionUi
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Crawler Summary
Orchestrate collaborative, task-specific agent workflows with CrewAI CrewAI Job Application Assistant Build modular AI agents using CrewAI and LangChain. Orchestrate collaborative, task-specific agent workflows with CrewAI. Create a web-based interface for your agent workflow using Streamlit. Use large language models to generate structured, customized content. Overview The job market is competitive, and nearly every employer now expects AI skills. Instead of just talking about AI pro Capability contract not published. No trust telemetry is available yet. Last updated 10/9/2026.
Freshness
Last checked 10/9/2026
Best For
my-crewai-app 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
Orchestrate collaborative, task-specific agent workflows with CrewAI CrewAI Job Application Assistant Build modular AI agents using CrewAI and LangChain. Orchestrate collaborative, task-specific agent workflows with CrewAI. Create a web-based interface for your agent workflow using Streamlit. Use large language models to generate structured, customized content. Overview The job market is competitive, and nearly every employer now expects AI skills. Instead of just talking about AI pro
Public facts
4
Change events
1
Artifacts
0
Freshness
Oct 9, 2026
Capability contract not published. No trust telemetry is available yet. Last updated 10/9/2026.
Trust score
Unknown
Compatibility
OpenClaw
Freshness
Oct 9, 2026
Vendor
Cherylfernandes07
Artifacts
0
Benchmarks
0
Last release
Unpublished
Key links, install path, and a quick operational read before the deeper crawl record.
Summary
Capability contract not published. No trust telemetry is available yet. Last updated 10/9/2026.
Setup snapshot
Setup complexity is LOW. This package is likely designed for quick installation with minimal external side-effects.
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.
Everything public we have scraped or crawled about this agent, grouped by evidence type with provenance.
Vendor
Cherylfernandes07
Protocol compatibility
OpenClaw
Handshake status
UNKNOWN
Crawlable docs
6 indexed pages on the official domain
Merged public release, docs, artifact, benchmark, pricing, and trust refresh events.
Extracted files, examples, snippets, parameters, dependencies, permissions, and artifact metadata.
Extracted files
0
Examples
4
Snippets
0
Languages
python
bash
python -m venv venv source venv/bin/activate # On Windows use `venv\Scripts\activate`
bash
pip install -r requirements.txt
bash
streamlit run streamlit_app.py
bash
deactivate
Full documentation captured from public sources, including the complete README when available.
Docs source
GITHUB REPOS
Editorial quality
ready
Orchestrate collaborative, task-specific agent workflows with CrewAI CrewAI Job Application Assistant Build modular AI agents using CrewAI and LangChain. Orchestrate collaborative, task-specific agent workflows with CrewAI. Create a web-based interface for your agent workflow using Streamlit. Use large language models to generate structured, customized content. Overview The job market is competitive, and nearly every employer now expects AI skills. Instead of just talking about AI pro
Build modular AI agents using CrewAI and LangChain. Orchestrate collaborative, task-specific agent workflows with CrewAI. Create a web-based interface for your agent workflow using Streamlit. Use large language models to generate structured, customized content.
The job market is competitive, and nearly every employer now expects AI skills. Instead of just talking about AI proficiency, why not demonstrate it by building an AI-powered job application assistant that automates your entire job search? In this project, we'll create a multi-agent system using CrewAI, Python, and Streamlit that handles everything from analyzing job descriptions to drafting personalized LinkedIn outreach messages, saving time while showcasing your AI workflow automation capabilities to potential employers.
We'll build specialized AI agents using the CrewAI framework: a job analyzer that extracts key requirements from listings, a resume customization agent that tailors application materials, and a messaging agent that drafts professional outreach. We'll orchestrate these autonomous agents into a collaborative crew where each agent's output feeds into the next, creating an intelligent automation pipeline powered by LangChain and Google Gemini for natural language processing. We'll integrate the USAJobs API to fetch real government job postings and provide live data for the agents to work with.
Finally, we'll develop a Streamlit web application where you can input job preferences, browse fetched listings, select target positions, and generate customized resumes, cover letters, and LinkedIn messages with one click. We'll implement persistent logging to track applications and save generated materials. By the end, you'll have a portfolio-ready agentic system demonstrating CrewAI multi-agent orchestration, API integration, LLM-powered automation, and practical AI agent collaboration that proves your AI skills to recruiters.
streamlit_app.py: The frontend UI built with Streamlit.orchestrator.py: The core logic that manages the CrewAI workflow and agent handoffs.usajobs_api.py: Handles interaction with the USAJobs Search API.job_hunt_assistant/agents/: Definitions for the JD Analyst, Resume Writer, and Messaging agents.job_hunt_assistant/utils/: Utility functions for tracking, logging, and configuration.job_hunt_assistant/data/: Storage for generated cover letters, application logs, and default templates.Follow these steps to set up and run the application locally:
Configuration: Create a configuration file or environment variables for the following keys:
GEMINI_API_KEY: Primary key for Google Gemini 2.0 Flash.GEMINI_API_KEY_2: Fallback key for rate limiting/retries.USAJOBS_API_KEY: Required to fetch live job data from USAJobs.gov.Create and activate a virtual environment:
python -m venv venv
source venv/bin/activate # On Windows use `venv\Scripts\activate`
Install the required dependencies:
pip install -r requirements.txt
Run the Streamlit application:
streamlit run streamlit_app.py
Managing the environment: When you're done working, deactivate with:
deactivate
And every time you come back to the project, just run source venv/bin/activate again before anything else.
Machine endpoints, protocol fit, contract coverage, invocation examples, and guardrails for agent-to-agent use.
Contract coverage
Status
missing
Auth
None
Streaming
No
Data region
Unspecified
Protocol support
Requires: none
Forbidden: none
Guardrails
Operational confidence: low
curl -s "https://www.xpersona.co/api/v1/agents/crewai-cherylfernandes07-my-crewai-app/snapshot"
curl -s "https://www.xpersona.co/api/v1/agents/crewai-cherylfernandes07-my-crewai-app/contract"
curl -s "https://www.xpersona.co/api/v1/agents/crewai-cherylfernandes07-my-crewai-app/trust"
Trust and runtime signals, benchmark suites, failure patterns, and practical risk constraints.
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
Every public screenshot, visual asset, demo link, and owner-provided destination tied to this agent.
Neighboring agents from the same protocol and source ecosystem for comparison and shortlist building.
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Contract JSON
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"contractUpdatedAt": null,
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}Invocation Guide
{
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"trustUrl": "https://www.xpersona.co/api/v1/agents/crewai-cherylfernandes07-my-crewai-app/trust"
},
"curlExamples": [
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"curl -s \"https://www.xpersona.co/api/v1/agents/crewai-cherylfernandes07-my-crewai-app/contract\"",
"curl -s \"https://www.xpersona.co/api/v1/agents/crewai-cherylfernandes07-my-crewai-app/trust\""
],
"jsonRequestTemplate": {
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"constraints": {
"maxLatencyMs": 2000,
"protocolPreference": [
"OPENCLEW"
]
}
},
"jsonResponseTemplate": {
"ok": true,
"result": {
"summary": "...",
"confidence": 0.9
},
"meta": {
"source": "GITHUB_REPOS",
"generatedAt": "2026-10-09T20:52:42.441Z"
}
},
"retryPolicy": {
"maxAttempts": 3,
"backoffMs": [
500,
1500,
3500
],
"retryableConditions": [
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"HTTP_503",
"NETWORK_TIMEOUT"
]
}
}Trust JSON
{
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"reputationScore": null,
"p95LatencyMs": null,
"successRate30d": null,
"fallbackRate": null,
"attempts30d": null,
"trustUpdatedAt": null,
"trustConfidence": "unknown",
"sourceUpdatedAt": null,
"freshnessSeconds": null
}Capability Matrix
{
"rows": [
{
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"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",
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"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": "Cherylfernandes07",
"href": "https://github.com/cherylfernandes07/my-crewai-app",
"sourceUrl": "https://github.com/cherylfernandes07/my-crewai-app",
"sourceType": "profile",
"confidence": "medium",
"observedAt": "2026-10-09T19:19:41.095Z",
"isPublic": true
},
{
"factKey": "protocols",
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"sourceUrl": "https://www.xpersona.co/api/v1/agents/crewai-cherylfernandes07-my-crewai-app/contract",
"sourceType": "contract",
"confidence": "medium",
"observedAt": "2026-10-09T19:19:41.095Z",
"isPublic": true
},
{
"factKey": "docs_crawl",
"category": "integration",
"label": "Crawlable docs",
"value": "6 indexed pages on the official domain",
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"confidence": "medium",
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"isPublic": true
},
{
"factKey": "handshake_status",
"category": "security",
"label": "Handshake status",
"value": "UNKNOWN",
"href": "https://www.xpersona.co/api/v1/agents/crewai-cherylfernandes07-my-crewai-app/trust",
"sourceUrl": "https://www.xpersona.co/api/v1/agents/crewai-cherylfernandes07-my-crewai-app/trust",
"sourceType": "trust",
"confidence": "medium",
"observedAt": null,
"isPublic": true
}
]Change Events JSON
[
{
"eventType": "docs_update",
"title": "Docs refreshed: Sign in to GitHub · 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
}
]Sponsored
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