A comprehensive AI career platform integration for managing resumes, job tracking, and interview preparation.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install placed
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install placed using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is Placed?
Placed is a powerful integration for the Placed career platform, designed to streamline the entire job-seeking lifecycle. By leveraging Openclaw Skills, developers and job seekers can access professional resume building, ATS optimization, and mock interview coaching directly through a unified interface. It serves as an all-in-one career assistant that bridges the gap between raw talent and professional presentation.
This skill eliminates the need for a standalone MCP server by calling the Placed API directly. It provides a technical yet accessible way to manage professional identities, research market salaries, and keep application pipelines organized. Whether you are generating a tailored cover letter or practicing STAR-method behavioral responses, this Openclaw Skills powerhouse provides the necessary tools to succeed in competitive job markets.
Placed Use Cases
- Creating and managing professional resumes using over 37 high-quality templates.
- Optimizing resumes for specific job descriptions to bypass ATS filters.
- Conducting mock interviews with AI-driven feedback for technical and behavioral roles.
- Tracking job applications and managing the hiring pipeline with detailed analytics.
- Generating tailored cover letters and LinkedIn profile optimizations.
How Placed Works
- The skill authenticates with the Placed platform using a secure API key stored in local credentials.
- When a specific career task is requested, the skill formats a JSON-RPC 2.0 request containing the specific tool name and arguments.
- A POST request is dispatched to the Placed API endpoint (https://placed.exidian.tech/api/mcp).
- The API processes the request using advanced LLMs to generate resumes, coaching feedback, or tracking data.
- The skill parses the resulting JSON response and presents the actionable career data or document to the user.
Placed Setup
First, obtain your API key from the Placed settings dashboard. Then, configure your environment:
mkdir -p "$HOME/.config/placed"
echo "export PLACED_API_KEY=<your_key>" > "$HOME/.config/placed/credentials"
source "$HOME/.config/placed/credentials"
The Openclaw Skills integration will automatically check for this key to authenticate your requests.
Placed Data Schema & Taxonomy
The skill interacts with the Placed API using a standardized JSON-RPC structure. Below is the organization of data interactions:
| Component | Description |
|---|---|
| Authentication | Bearer Token via PLACED_API_KEY |
| Request Format | JSON-RPC 2.0 (method: tools/call) |
| Tools | resume-builder, interview-coach, career-tools, resume-optimizer, job-tracker |
| Output | Structured JSON containing text, templates, or tracking status |
Placed Advanced Features
- Direct API integration bypassing the need for local MCP server overhead.
- Support for 37+ professional resume templates via the resume-builder tool.
- STAR method coaching specifically designed for behavioral interview mastery.
- Real-time ATS compatibility scoring and optimization suggestions.
- Career pipeline analytics for tracking job application conversion rates.
SKILL.md
Loading
Related Openclaw Skills
PNG LSB Steganography & Analysis
A specialized tool for deep PNG image inspection, metadata extraction, and multi-pattern LSB steganography detection.
Strategy Voting
A robust quantitative trading skill that aggregates multiple technical indicators into a single, weighted voting signal for high-conviction decision making.
ClawHub Skill Wrapper
A specialized CLI wrapper for clawhub designed to standardize the publishing, versioning, and installation lifecycle of agent skills.
ZT4AI Self-Audit
A security-focused skill for auditing AI agent workspaces and configurations against Zero Trust principles.
Rugpull
A specialized CLI tool for analyzing rugpull operations, evaluating protocol security, and referencing on-chain concepts.
Shopify & DTC Product Differentiation Strategy Tool
A comprehensive analysis tool for Shopify and DTC brands to identify market gaps, mine competitor reviews for pain points, and generate actionable differentiation strategies.
Featured*
