pi-job-search

A local-first Pi package for discovering jobs, ranking fit, drafting applications, and tracking outcomes.

Packages

Package details

extensionskillprompt

Install pi-job-search from npm and Pi will load the resources declared by the package manifest.

npm home report

$ pi install npm:pi-job-search

Package: pi-job-search
Version: 0.1.0
Published: Jul 30, 2026
Downloads: not available
Author: sovorn
License: MIT
Types: extension, skill, prompt
Size: 199.3 KB
Dependencies: 2 dependencies · 2 peers

Pi manifest JSON

{
  "extensions": [
    "./extensions"
  ],
  "skills": [
    "./skills"
  ],
  "prompts": [
    "./prompts"
  ]
}

Security note

Pi packages can execute code and influence agent behavior. Review the source before installing third-party packages.

README

🧭 pi-job-search

A local-first job-search workspace for Pi. Discover suitable roles, import job descriptions, rank fit, draft grounded applications, prepare for interviews, and track outcomes—without sending applications or email on your behalf.

npm: npmjs.com/package/pi-job-search
Pi catalog: pi.dev/packages/pi-job-search
GitHub: github.com/sovorn-c/pi-job-search

Install

Install the public package from inside Pi:

pi install npm:pi-job-search

Restart Pi, or run /reload if it is already running. Then initialize your local workspace:

/setup

The package stores candidate data, documents, search state, applications, and reports in .pi-job-search/. The directory is local workspace state and is added to .gitignore during setup.

The core workflow

/setup → /scrape or /import → /rank → /apply → /outcome → /followup or /interview

1. Set up your profile

/setup builds a versioned profile from CVs, documents, interview answers, or direct user input. Facts retain provenance and inferred claims remain distinguishable from approved facts.

2. Discover or import jobs

Automated discovery uses stable public sources:

Source	Access	Search behavior
Himalayas	Public JSON API	Provider-side keyword, country, timezone, seniority, and employment filters
We Work Remotely	Public RSS	Category feed plus local keyword filtering
Remote OK	Public JSON feed	Local filtering by title, tags, and location; attribution preserved

Use /scrape with keyword, country, timezone, seniority, employment type, category, remote-only, and result-limit filters. Results are normalized into one shared job format, deduplicated, and saved locally.

For LinkedIn, SEEK, login-walled pages, or any blocked source, use /import instead:

paste the job description;
provide a .txt or .md file; or
provide a public URL for one best-effort request.

URL imports parse public JSON-LD, metadata, and visible content. They report complete, partial, and failed extraction separately. They never automate login, bypass CAPTCHA, evade bot protection, or retry aggressively.

3. Rank fit before applying

/rank evaluates technical fit, experience, behavioral fit, and career alignment. Work-rights and location gates can veto an otherwise high score. Every recommendation includes its evidence and fit verdict.

4. Draft, verify, and track

/apply creates draft-only CV, cover-letter, and application-form materials grounded in approved facts. Documents are verified for page count, extractable text, required content, forbidden content, and ATS keywords.

/outcome records application progress. /followup creates capped, draft-only thank-you and follow-up messages. /interview creates stage-specific preparation packs and a one-question-at-a-time mock interview. /html-report renders a self-contained offline tracker report.

Commands

Command	Purpose
`/setup`	Create or update the candidate profile
`/reset`	Preview and reset profile or document state
`/scrape`	Search the enabled public job sources
`/import`	Import pasted text, `.txt`/`.md` files, or public URLs
`/rank`	Score and gate job fit
`/apply`	Draft and verify application materials
`/outcome`	Record application outcomes
`/followup`	Draft follow-up messages; never sends them
`/interview`	Prepare for interviews and run mock questions
`/expand`	Propose profile competency expansions with approval
`/upskill`	Find hard and preferred skill gaps
`/html-report`	Generate an offline application dashboard
`/gmail-auth`	Authorize optional read-only Gmail access
`/gmail-sync`	Propose outcome updates from Gmail messages
`/add-template`	Add a compile-validated document template
`/add-portal`	Investigate and scaffold a fixture-verified portal

Safety and privacy

No auto-submit: applications are drafts and require user review.
No email sending: follow-ups are drafts only.
Read-only Gmail: sync can list and read messages but cannot send, delete, label, archive, or modify mail.
Untrusted job text: descriptions and application instructions are treated as data, never as Pi commands.
Bounded source access: public endpoints only, with timeouts, retries where appropriate, attribution, and isolated failures.
Local-first state: profile, documents, tracker data, Gmail state, and generated artifacts stay in the ignored .pi-job-search/ workspace.

Pi packages execute code with the permissions of the user running Pi. Review the source before installing any third-party package.

Gmail integration

Gmail is optional. Create a Google Cloud Desktop OAuth client with the read-only Gmail scope, then configure:

export GMAIL_CLIENT_ID="..."
export GMAIL_CLIENT_SECRET="..." # optional for Desktop clients

Run /gmail-auth once. PKCE authorization uses a loopback callback, and the refresh token is stored outside the project in macOS Keychain when available, or a user-only file under ~/.config/pi-job-search/.

For contributors

git clone https://github.com/sovorn-c/pi-job-search.git
cd pi-job-search
npm ci --ignore-scripts
npm run typecheck
npm test
npm run verify:release

To test the local package without publishing:

pi -e .

Attribution and license

MIT licensed. This is an independent clean-room implementation informed by the observable workflow concepts and documentation of the MIT-licensed ai-job-search project. No source code is copied and no source-code identity is claimed. See NOTICE.md.