Recruiting Pipeline
OfficialAutomates candidate sourcing, screening, and interview scheduling within your DevOps recruiting pipeline.
Install on your platform
Showing Claude Code. One command installs this skill into any of the agents below.
- 1
Run this in your project
terminal$ npx skills add anthropics/knowledge-work-plugins --skill recruiting-pipeline -a claude-code Uses the open-source
skillsCLI and needs Node.js. Add-gto install it for your user instead of this project.
What we know about this skill
Publisher
anthropics
Matched to the vendor's own GitHub organisation.
Install target
Live repository
Not pinned. Installing fetches whatever the repository holds at the time you run the command.
Automated safety checks
This skill passed all 6 checks. We read its files at one commit and looked for the things that make a skill dangerous to run — not for whether it works.
Declares what it does: passed
SKILL.md parses and declares a name and a description.
SKILL.md exists, its frontmatter parses, and it declares a name and a description.
No undeclared network calls: passed
Makes no network calls.
Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.
No obfuscated payloads: passed
No encoded or obfuscated payloads.
No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.
No credential access: passed
Reads no keys, tokens, keychains or credential files.
Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.
No pipe-to-shell installers: passed
No pipe-to-shell or download-and-run installers.
No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.
Pinned to a commit: passed
Scanned anthropics/knowledge-work-plugins at da38ec1ee8.
The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.
- Commit
- da38ec1ee8
- Scanned
- 1 file, 32 lines
About this skill
recruiting-pipeline
What it does
This skill enables AI agents to manage and automate the end-to-end recruitment lifecycle within DevOps workflows. It handles tasks ranging from initial candidate sourcing and resume screening to scheduling interviews and coordinating onboarding logistics.
When to use it
- Automating high-volume hiring processes for engineering teams to reduce manual administrative overhead.
- Screening incoming resumes against specific technical stack requirements defined in your project documentation.
- Scheduling initial technical assessments by syncing with candidate calendars and internal team availability.
- Tracking candidate status through various pipeline stages to ensure no applicants fall through the cracks.
Key capabilities
- Candidate discovery and sourcing from multiple channels
- Automated resume parsing and skills matching
- Interview scheduling coordination
- Pipeline stage tracking and status updates
- Onboarding workflow initiation
Example prompts
- "Scan the latest batch of engineering resumes and shortlist candidates with 3+ years of experience in Kubernetes."
- "Schedule a technical screening for Sarah Jenkins with the DevOps lead next Tuesday at 10 AM."
- "Move all candidates who passed the coding assessment to the final interview stage and notify them."
Tips & gotchas
Ensure your AI agent has access to necessary calendar APIs and resume databases before attempting to automate scheduling. This skill is most effective when integrated with existing HRIS tools or ATS systems to maintain data consistency across platforms.