OfferLoop
riwonswain-ovo/OfferLoop
Seven Agent Skills and a Feishu workspace that run a job search from leads to interview review
OfferLoop is an open-source Python job-search system made of seven Agent Skills, three Feishu Base tables and a private Feishu knowledge base, supporting Codex, Claude Code, Hermes Agent and WorkBuddy.
What OfferLoop does
OfferLoop connects job leads, application progress, test and interview reminders, experience deep-dives, tailored resumes, interview preparation and post-interview review. Its seven skills are job-collection, recruiting-reminder, experience-deepthink, resume-tailor, interview-prep, mock-lab and talk-review. They follow two loops: from sources through screening and your confirmation to a target-company list and progress tracking, and from recruiting notices through scheduling and preparation to real interviews and review.
The Feishu workspace is part of the product, so results accumulate in three business Bases and a private knowledge base instead of chat history. Resume output is a one-page A4 PDF. The agent first runs a read-only check of existing Feishu resources and shows a plan, and creates or takes over resources only after explicit confirmation. A daily 22:10 group card is a separate opt-in. Installing the skills needs no secrets, and the installer reports local skills, workspace dependencies and the Feishu workspace as three stages.
Key features
- Seven skills covering job collection, reminders, experience recovery, resumes, interview prep, mock interviews and review
- Three Feishu Base tables and a private Feishu knowledge base
- Tailored one-page A4 resume PDFs for a given role
- Mock interviews with question-by-question diagnosis
- Read-only preflight of the Feishu workspace before anything is created
When to use it
- Keeping a deduplicated list of target companies and application progress
- Preparing for a specific company, role and interview round
- Reviewing a finished interview and writing the outcome back to the progress table
Who it is for: Job seekers who use Feishu and an agent such as Codex, Claude Code or Hermes Agent and want their job search kept in a structured workspace.
How it fits with Hermes Agent
Supports Hermes Agent among other agents, since any agent that reads standard SKILL.md directories can use the skills.
Requirements: Python 3.10+, an agent that supports SKILL.md directories, Node.js 20+ with npm and lark-cli 1.0.73+ for the Feishu stage, and a Feishu account that can create knowledge spaces and Bases
Note: The Feishu workspace is part of the system, and the README presents the current release as alpha (v0.1.0-alpha.17) with documentation in Chinese.
FAQ
What is OfferLoop?
OfferLoop is a job-search system built from seven Agent Skills and a Feishu workspace. It links job leads, application progress, resumes, interview preparation and review.
Does OfferLoop work with Hermes Agent?
Yes, the README lists Hermes Agent with Codex, Claude Code and WorkBuddy as supported agents. The agent must read standard SKILL.md directories.
What do I need to run OfferLoop?
You need Python 3.10 or newer, a supported agent, and a Feishu account with permission to create knowledge spaces and Bases. The Feishu stage also needs Node.js 20 or newer and lark-cli 1.0.73 or newer.
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