placed-career-tools

name	placed-career-tools
description	This skill should be used when the user wants to "match resume to job", "generate cover letter", "optimize resume for job", "get interview questions for company", "generate LinkedIn profile", "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
metadata	{"openclaw":{"emoji":"🧭","homepage":"https://placed.exidian.tech"}}
tags	career,cover-letter,linkedin,salary,salary-negotiation,company-research,job-match,career-tools,placed,exidian,job-search,ai-career-coach

Placed Career Tools

Comprehensive AI career toolkit: job-resume matching, cover letters, LinkedIn optimization, salary insights, negotiation scripts, and company research — all via the Placed API. No MCP server required.

API Key

Load the key from ~/.config/placed/credentials, falling back to the environment:

if [ -z "$PLACED_API_KEY" ] && [ -f "$HOME/.config/placed/credentials" ]; then
  source "$HOME/.config/placed/credentials"
fi

If PLACED_API_KEY is still not set, ask the user:

"Please provide your Placed API key (get it at https://placed.exidian.tech/settings/api)"

Then save it for future sessions:

mkdir -p "$HOME/.config/placed"
echo "export PLACED_API_KEY=<key_provided_by_user>" > "$HOME/.config/placed/credentials"
export PLACED_API_KEY=<key_provided_by_user>

How to Call the API

placed_call() {
  local tool=$1
  local args=${2:-'{}'}
  curl -s -X POST https://placed.exidian.tech/api/mcp \
    -H "Authorization: Bearer $PLACED_API_KEY" \
    -H "Content-Type: application/json" \
    -d "{\"jsonrpc\":\"2.0\",\"id\":1,\"method\":\"tools/call\",\"params\":{\"name\":\"$tool\",\"arguments\":$args}}" \
    | python3 -c "import sys,json; d=json.load(sys.stdin); print(d['result']['content'][0]['text'])"
}

Available Tools

Resume-Job Matching

Tool	Description
match_job	Score how well a resume matches a job description
analyze_resume_gaps	Find missing keywords and skills for a target role
optimize_resume_for_job	Tailor resume content to a specific job

AI Writing Tools

Tool	Description
generate_cover_letter	Generate a tailored cover letter
generate_linkedin_profile	AI-optimized LinkedIn headline and About section
get_interview_questions	Get likely interview questions for a company/role

Salary & Negotiation

Tool	Description
get_company_salary_data	Market salary data by role and company
generate_salary_negotiation_script	Personalized salary negotiation script
analyze_offer	Analyze a job offer against market rates

Company Research

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

Usage Examples

Match resume to job:

placed_call "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

Analyze resume gaps:

placed_call "analyze_resume_gaps" '{
  "resume_id": "res_abc123",
  "job_description": "..."
}'

Generate cover letter:

placed_call "generate_cover_letter" '{
  "resume_id": "res_abc123",
  "company_name": "Airbnb",
  "job_title": "Staff Engineer",
  "job_description": "...",
  "tone": "professional"
}'

Get salary data:

placed_call "get_company_salary_data" '{
  "company_name": "Google",
  "position": "Senior Software Engineer",
  "location": "San Francisco, CA"
}'

Generate negotiation script:

placed_call "generate_salary_negotiation_script" '{
  "current_offer": 200000,
  "target_salary": 240000,
  "justification": [
    "6 years distributed systems experience",
    "Led 3 high-impact projects",
    "Market rate for this role in SF is $230-260K"
  ]
}'

Generate LinkedIn profile:

placed_call "generate_linkedin_profile" '{"resume_id":"res_abc123"}'

Research a company:

placed_call "research_company" '{"company_name":"Databricks"}'

Common Workflows

Before applying:

1. match_job — check resume-job fit score
2. analyze_resume_gaps — find missing keywords
3. optimize_resume_for_job (via placed-resume-optimizer) — tailor resume
4. generate_cover_letter — write tailored cover letter

Negotiate an offer:

1. get_company_salary_data — benchmark the offer
2. analyze_offer — get full market comparison
3. generate_salary_negotiation_script — get negotiation talking points

Additional Resources

• references/api-guide.md — Full API reference with all parameters and response schemas