Agent skill

Applypilot

by yvonnehe772 in yvonnehe772/applypilot

A reusable job application workflow for Codex and other AI agents.

MITAuto-check passedBusiness, Finance & HR

Install Applypilot

skills CLI
$ npx skills add yvonnehe772/applypilot --skill applypilot -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install yvonnehe772/applypilot applypilot --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
applypilot
GitHub stars
279
Token cost
~1.3k tokens
SKILL.md length
604 words
Files
31 (incl. references)
Skills in repo
1
Repo updated
First seen
Licence
MIT

At a glance

A reusable job application workflow for Codex and other AI agents.

  • Works in 6 steps: Initialize the System → Screen Before Applying → Route the Resume Strategy → …
  • A user wants to set up
  • SKILL.md covers Core Contract, Workflow and Safety
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Applypilot is an agent skill from yvonnehe772/applypilot. A reusable job application workflow for Codex and other AI agents. Use when a user wants to set up or run an AI-assisted job search system: collecting a candidate profile, creating an application dashboard, defining screening and resume-routing rules, finding and ranking job leads, applying to jobs within explicit safety boundaries, recording outcomes, triaging blockers, or iterating a job application workflow.

Its SKILL.md is about 1.3k tokens, which your agent loads only when the skill is triggered. The skill folder holds 35 other files, including reference files (for example `AGENTS.md`, `README.md` and `README.zh-CN.md`).

It sits in Business, Finance & HR, covering Job search and resumes. The licence is MIT.

When your agent uses it

  • A user wants to set up
  • Run an AI-assisted job search system: collecting a candidate profile
  • Creating an application dashboard
  • Defining screening and resume-routing rules

Example prompts

  • “/applypilot”

Workflow steps

6 steps, taken from the step headings in SKILL.md.

  1. Initialize the System
  2. Screen Before Applying
  3. Route the Resume Strategy
  4. Apply Safely
  5. Record Every Outcome
  6. Learn From Blockers

What it can do on your machine

Read from SKILL.md and the folder at commit 1e84f9d. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Applypilot loads about 1.3k tokens when it runs, and up to ~7.5k if it reads all its reference files. Until then it costs about 106 tokens; SKILL.md has 604 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~106
When it runs · the whole SKILL.md, loaded when a task matches
~1.3k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~7.5k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from yvonnehe772/applypilot at commit 1e84f9d, republished under its MIT licence (© yvonnehe772). 604 words, ~1,256 tokens.

Download SKILL.mdSave it as .claude/skills/applypilot/SKILL.md (or your agent's skills folder). This skill also uses 30 other files; get the full folder from GitHub.
name
applypilot
description
A reusable job application workflow for Codex and other AI agents. Use when a user wants to set up or run an AI-assisted job search system: collecting a candidate profile, creating an application dashboard, defining screening and resume-routing rules, finding and ranking job leads, applying to jobs within explicit safety boundaries, recording outcomes, triaging blockers, or iterating a job application workflow.

ApplyPilot

ApplyPilot is a job application operating workflow for AI agents. It helps users turn job searching into a repeatable system: profile, dashboard, screening rules, resume strategy, application execution, blocker triage, and follow-up.

Core Contract

Optimize for truthful, traceable, interview-generating applications, not blind volume.

Treat setup as an agent-led onboarding flow, not a user homework packet. Ask only for the minimum information needed to start safely, create drafts/templates for the user, then iterate after the first trial run.

Before searching or applying, make sure the user has:

  1. A candidate profile.
  2. A dashboard or workbook for tracking outcomes.
  3. Application screening rules.
  4. A resume strategy.
  5. Clear safety boundaries for browser automation and form answers.

If any source is missing, initialize it first. Do not guess identity, legal, work authorization, compensation, current employment, sponsorship, relocation, or other high-impact facts.

Workflow

1. Initialize the System

Read references/setup-workflow.md when:

  • The user is installing ApplyPilot for the first time.
  • The user asks to create a profile, dashboard, rules, templates, or GitHub-ready setup.
  • The user has not provided enough information for safe applications.

Use the templates in templates/ to create user-owned files:

  • candidate_profile.template.json
  • application_rules.template.md
  • resume_routing.template.md
  • answer_bank.template.md
  • dashboard-template/*.csv
2. Screen Before Applying

Prioritize jobs by freshness, fit, feasibility, and conversion likelihood. Default to fresh jobs from the last 24 hours, then 48 hours if needed.

Skip or defer roles that violate the user's rules, are clearly overleveled, are closed or duplicate, require unsupported work authorization, need missing materials, or involve long account-heavy flows with weak fit.

3. Route the Resume Strategy

Use the user's chosen strategy:

  • Precision mode: screen for high-fit jobs first, then tailor resume/materials before applying.
  • Volume mode: use prebuilt resume variants by role family and move quickly.

Default to Volume mode unless the user explicitly asks for Precision. Individual high-fit roles can be promoted from Volume to Precision.

Never fabricate experience, credentials, degrees, employers, dates, work authorization, or portfolio artifacts.

4. Apply Safely

Read references/application-playbook.md before operating browser-based applications, LinkedIn Easy Apply, Simplify, Greenhouse, Lever, Ashby, Workday, or other ATS flows.

Stop or hand off for CAPTCHA, Cloudflare, anti-bot checks, login or 2FA, unclear legal/identity questions, missing files, payment prompts, permission prompts, or anything that would require bypassing a site control.

Show full SKILL.md (233 more words)Show less
5. Record Every Outcome

Every job lead or attempt must end in one of these states:

  • Submitted: explicit confirmation was seen.
  • Skipped: not worth applying, with reason.
  • Blocked: automation could not proceed, with blocker and next step.
  • Needs user: user must provide a missing high-impact fact, complete CAPTCHA/login/upload, answer a sensitive question, or make a required judgment before the agent can decide.
  • Pending: selected for later action because it appears worth reviewing or applying after known prerequisites are satisfied.

Count only confirmed submissions. Saved jobs, trackers, autofill badges, or "quick apply" labels do not count.

For a first trial or demo run, default to lead finding only: find, screen, classify, and update the dashboard without opening real application flows or submitting anything. In lead-finding-only runs, update job_pool, daily_dashboard, blocker_queue, and automation_rules as needed; leave application_log empty because no application attempt occurred.

6. Learn From Blockers

After each run, summarize blockers and convert repeated issues into rules. ApplyPilot should improve through use: address matching, dropdown handling, resume upload checks, account/session checks, and ATS-specific lessons belong in the dashboard and rules.

Safety

Read references/safety-and-boundaries.md when the user asks about automation limits, CAPTCHA, email verification, account login, privacy, public sharing, or what should not be included in a repo.

Do not publish or copy private resumes, phone numbers, emails, addresses, immigration documents, application history, browser sessions, cookies, OTPs, or user-specific secrets into a public ApplyPilot package.

© yvonnehe772, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 30 other files (references) in the repository root of yvonnehe772/applypilot.

  • SKILL.md
  • AGENTS.md
  • LICENSE
  • README.md
  • README.zh-CN.md
  • agents/openai.yaml
  • examples/fake-demo-example/README.md
  • examples/fake-demo-example/answer_bank.example.md
  • examples/fake-demo-example/application_rules.example.md
  • examples/fake-demo-example/candidate_profile.example.json
  • examples/fake-demo-example/dashboard-example/application_log.csv
  • examples/fake-demo-example/dashboard-example/blocker_queue.csv
  • examples/fake-demo-example/dashboard-example/job_pool.csv
  • examples/fake-demo-example/resume_routing.example.md
  • references/application-playbook.md
  • references/safety-and-boundaries.md
  • … and 15 more

Open the folder on GitHubat commit 1e84f9d

Compare with similar skills

Applypilot next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Applypilot compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Applypilot this skillyvonnehe772/applypilot279—~1.3kAutomated safety check: PassMIT
Reactive Resume Builderreactive-resume/reactive-resume44k—~1.5kAutomated safety check: PassMIT
Career-Ops Job Search Centercareer-ops-hq/career-ops74k—~3.6kAutomated safety check: PassMIT
freehire Tech Job SearchMadsLorentzen/ai-job-search45k—~2.7kAutomated safety check: PassMIT
LinkedIn Job SearchMadsLorentzen/ai-job-search45k—~1.2kAutomated safety check: PassMIT
Internship Project Preparation ToolLiuMengxuan04/shushu-internship-tool2.1k—~2.3kAutomated safety check: PassCustom licence

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Questions about Applypilot

What does Applypilot do?

A reusable job application workflow for Codex and other AI agents. Applypilot is an agent skill from yvonnehe772/applypilot. A reusable job application workflow for Codex and other AI agents.

When should I use Applypilot?

Applypilot fits situations like: A user wants to set up; run an AI-assisted job search system: collecting a candidate profile; creating an application dashboard; defining screening and resume-routing rules.

How do I install Applypilot in Claude Code?

Run `npx skills add yvonnehe772/applypilot --skill applypilot -a claude-code`. Or copy the skill folder (the yvonnehe772/applypilot repository) into .claude/skills/applypilot in your project. Claude Code loads it when a task matches its description.

How do I install Applypilot in Codex?

Run `npx skills add yvonnehe772/applypilot --skill applypilot -a codex`. Or copy the skill folder (the yvonnehe772/applypilot repository) into .agents/skills/applypilot in your project. Codex loads it when a task matches its description.

Can I use Applypilot in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add yvonnehe772/applypilot --skill applypilot -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/applypilot, .gemini/skills/applypilot, .github/skills/applypilot and .opencode/skills/applypilot in your project.

What does Applypilot need to run?

SKILL.md names no scripts, command-line tools or credentials: Applypilot is instructions for the agent only.

Does Applypilot access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Applypilot safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Applypilot use?

Applypilot is published under the MIT licence (from the LICENSE file in the skill folder). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Applypilot use?

About 1.3k tokens (SKILL.md is roughly 5k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 6.2k tokens, read only when the agent opens those files.

What are the alternatives to Applypilot?

Skills that share tags, products or a category with Applypilot: Reactive Resume Builder (reactive-resume/reactive-resume, 44k stars), Career-Ops Job Search Center (career-ops-hq/career-ops, 74k stars), freehire Tech Job Search (MadsLorentzen/ai-job-search, 45k stars) and LinkedIn Job Search (MadsLorentzen/ai-job-search, 45k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Applypilot?

yvonnehe772 (a GitHub user) maintains it in yvonnehe772/applypilot, which has 279 GitHub stars. The repository was last updated on June 28, 2026.

Source: yvonnehe772/applypilot on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.