---

name: placed-career-tools description: This skill should be used when the user wants to "track job applications", "match resume to job", "generate cover letter", "optimize resume for job", "get interview questions for company", "generate LinkedIn profile", "add job application", "check application status", "get salary insights", "negotiate salary", "research company", "analyze resume gaps", or wants to use AI career tools from the Placed platform at placed.exidian.tech. version: 1.0.0 homepage: https://placed.exidian.tech metadata: {"openclaw":{"emoji":"🧭","homepage":"https://placed.exidian.tech","requires":{"env":["PLACED_API_KEY"]},"primaryEnv":"PLACED_API_KEY"}}

Placed Career Tools

Comprehensive AI career toolkit: job tracking, resume-job matching, cover letter generation, LinkedIn optimization, salary insights, negotiation scripts, and company research — all via the Placed MCP server.

Overview

Placed Career Tools covers the full job search lifecycle. Track applications through a pipeline, match your resume to job descriptions, generate tailored cover letters, research companies, benchmark salaries, and prepare negotiation scripts — all from your AI assistant.

Prerequisites

1. Create an account at https://placed.exidian.tech
2. Get your API key from Settings → API Keys
3. Install the Placed MCP server:

{
  "mcpServers": {
    "placed": {
      "command": "npx",
      "args": ["-y", "@exidian/placed-mcp"],
      "env": {
        "PLACED_API_KEY": "your-api-key-here",
        "PLACED_BASE_URL": "https://placed.exidian.tech"
      }
    }
  }
}

Available Tools

Job Tracking

Tool	Description
add_job_application	Add a new job application to your tracker
list_job_applications	View your full application pipeline
update_job_status	Move an application to a new stage
get_application_analytics	Pipeline analytics and conversion rates

AI Career Tools

Tool	Description
match_job	Score how well your resume matches a job description
analyze_resume_gaps	Find missing keywords and skills for a target role
generate_cover_letter	Generate a tailored cover letter
optimize_resume_for_job	Tailor resume content to a specific job
generate_interview_questions	Get likely interview questions for a company/role
generate_linkedin_profile	AI-optimized LinkedIn headline and About section

Salary & Negotiation

Tool	Description
get_salary_insights	Market salary data by role, company, and location
generate_negotiation_script	Personalized salary negotiation script

Company Research

Tool	Description
research_company	Company overview, culture, news, and interview tips

Quick Start

Track a job application

add_job_application(
  company="Stripe",
  role="Senior Software Engineer",
  job_url="https://stripe.com/jobs/...",
  status="applied",
  resume_id="res_abc123"
)

Match resume to job

match_job(
  resume_id="res_abc123",
  job_description="Senior Software Engineer at Stripe — distributed systems, Go, Kubernetes..."
)
# Returns: match score, matched keywords, missing keywords, recommendations

Generate a cover letter

generate_cover_letter(
  resume_id="res_abc123",
  company="Airbnb",
  role="Staff Engineer",
  job_description="...",
  tone="professional"
)

Get salary insights

get_salary_insights(
  role="Senior Software Engineer",
  company="Google",
  location="San Francisco, CA",
  years_experience=6
)
# Returns: salary range, percentiles, bonus, equity, total comp

Generate negotiation script

generate_negotiation_script(
  current_offer=200000,
  target_salary=240000,
  role="Senior Software Engineer",
  company="Stripe",
  justifications=[
    "6 years distributed systems experience",
    "Led 3 high-impact projects at previous company",
    "Market rate for this role in SF is $230-260K"
  ]
)

Research a company

research_company(
  company_name="Databricks",
  include_interview_tips=true
)
# Returns: culture, recent news, funding, employee ratings, interview style

Application Pipeline Stages

Standard stages for update_job_status:

• wishlist — Saved for later
• applied — Application submitted
• phone_screen — Initial recruiter call
• technical — Technical interview round
• onsite — On-site or final round
• offer — Offer received
• negotiating — In negotiation
• accepted — Offer accepted
• rejected — Application rejected
• withdrawn — Withdrew application

Common Workflows

Apply to a new job:

1. research_company to understand culture and interview style
2. match_job to check resume-job fit score
3. analyze_resume_gaps to find missing keywords
4. optimize_resume_for_job to tailor resume
5. generate_cover_letter for the application
6. add_job_application to track it

Prepare for an interview:

1. research_company for culture and recent news
2. generate_interview_questions for likely questions
3. Use placed-interview-coach skill for mock sessions

Negotiate an offer:

1. get_salary_insights to benchmark the offer
2. generate_negotiation_script with your justifications
3. Use the conservative, balanced, or aggressive script based on your situation

Track your pipeline:

1. list_job_applications to see all applications
2. update_job_status as applications progress
3. get_application_analytics to see conversion rates and identify bottlenecks

Tips

• Add applications immediately after submitting — tracking is most useful when complete
• Run match_job before applying to prioritize high-fit opportunities
• generate_linkedin_profile works best when your resume is fully updated first
• get_salary_insights returns more accurate data when you specify company + location + years of experience
• Use analyze_resume_gaps before optimize_resume_for_job to understand what's missing

Additional Resources

• references/api-guide.md — Full API reference with all parameters and response schemas
• Placed Job Tracker — https://placed.exidian.tech/jobs
• Placed Career Hub — https://placed.exidian.tech/career