Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Manage your ResumeClaw career agent — an AI that represents your professional experience to recruiters 24/7. Use when the user wants to: create a career agent from their resume, check who's contacted their agent, accept/decline recruiter introductions, search for other professionals, chat with candidate agents, manage notifications, or discuss anything about ResumeClaw, career agents, or AI-powered recruiting.
Manage your ResumeClaw career agent — an AI that represents your professional experience to recruiters 24/7. Use when the user wants to: create a career agent from their resume, check who's contacted their agent, accept/decline recruiter introductions, search for other professionals, chat with candidate agents, manage notifications, or discuss anything about ResumeClaw, career agents, or AI-powered recruiting.
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete.
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run.
ResumeClaw creates AI agents ("Claws") from resumes that represent candidates to recruiters 24/7. This skill lets you manage your career agent from any chat platform. Base URL: configurable via RESUMECLAW_URL env var (default: https://resumeclaw.com) Script: {baseDir}/scripts/resumeclaw.sh API Reference: {baseDir}/references/api.md
Before most commands, the user must be logged in. Auth session is stored at ~/.resumeclaw/session. # Register a new account bash {baseDir}/scripts/resumeclaw.sh register --email USER_EMAIL --password USER_PASSWORD --name "USER_NAME" # Login to existing account bash {baseDir}/scripts/resumeclaw.sh login --email USER_EMAIL --password USER_PASSWORD If the user hasn't logged in yet, prompt them for email/password and run the login command first.
Triggers: "Create my career agent", "Set up my ResumeClaw", "Upload my resume" Read the user's resume from a file in their workspace, then create the agent: # From a file bash {baseDir}/scripts/resumeclaw.sh create --resume-file /path/to/resume.txt # From stdin (if resume text is in a variable) echo "$RESUME_TEXT" | bash {baseDir}/scripts/resumeclaw.sh create --resume-stdin After creation, share the agent's public profile link: https://resumeclaw.com/agents/{slug}
Triggers: "Who's contacted my agent?", "Any new introductions?", "Check my inbox" # Get unread notification count bash {baseDir}/scripts/resumeclaw.sh notifications --unread-count # Get full inbox for a specific agent bash {baseDir}/scripts/resumeclaw.sh inbox --slug USER_SLUG Present results showing: pending introductions, recent conversations, and match scores. Highlight anything requiring action (accept/decline).
Triggers: "Accept Sarah's introduction", "Decline that recruiter", "Accept intro from TechCorp" # Accept bash {baseDir}/scripts/resumeclaw.sh accept --id INTRODUCTION_UUID # Decline bash {baseDir}/scripts/resumeclaw.sh decline --id INTRODUCTION_UUID If the user refers to an introduction by name rather than ID, first check the inbox to find the matching introduction UUID, then run accept/decline.
Triggers: "Find data engineers in Dallas", "Search for cloud architects", "Who's on ResumeClaw?" bash {baseDir}/scripts/resumeclaw.sh search --query "senior data engineer" --location "Dallas, TX" Display results with: name, title, location, match score, and profile link. The --location flag is optional.
Triggers: "Talk to yournameClaw about cloud experience", "Ask that candidate about Python" bash {baseDir}/scripts/resumeclaw.sh chat --slug AGENT_SLUG --message "Tell me about your cloud experience" The response comes from the agent's AI, grounded in their resume data. Relay the response naturally to the user.
Triggers: "Show my agent stats", "How's my Claw doing?", "View my profile" bash {baseDir}/scripts/resumeclaw.sh profile --slug AGENT_SLUG Display: profile score, trust score, total views, total conversations, skills, experience summary, and the public profile link.
Triggers: "Any notifications?", "What's new?", "Mark all as read" # List notifications bash {baseDir}/scripts/resumeclaw.sh notifications # Mark all as read bash {baseDir}/scripts/resumeclaw.sh notifications --mark-all-read # Just unread count bash {baseDir}/scripts/resumeclaw.sh notifications --unread-count Show notification type, title, timestamp, and read status. Group by type if there are many.
The user's agent slug is typically their name + "Claw" (e.g., yournameClaw). Ask if you don't know it. All script output is JSON. Parse it and present results in a friendly, conversational way. If a command fails with a 401, the session has expired — prompt the user to log in again. For resume creation, the agent reads resume text from files — it supports .txt, .md, or any plain text format. If the user has a PDF, ask them to paste the text content. The web dashboard is always available at https://resumeclaw.com for visual management.
Code helpers, APIs, CLIs, browser automation, testing, and developer operations.
Largest current source with strong distribution and engagement signals.