Agent skill

Grad Apply Workflow

by Bubble252 in Bubble252/offer-harvester

Evidence-grounded graduate application workflow protocols for this repository.

MITAuto-check: notesBusiness, Finance & HR

Install Grad Apply Workflow

skills CLI
$ npx skills add Bubble252/offer-harvester --skill grad-apply-workflow -a claude-code

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

GitHub CLI
$ gh skill install Bubble252/offer-harvester grad-apply-workflow --agent claude-code

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

Manual copy
$ git clone --depth 1 https://github.com/Bubble252/offer-harvester.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.agents/skills/grad-apply-workflow .claude/skills/grad-apply-workflow && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

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

Facts

Skill name
grad-apply-workflow
GitHub stars
123
Token cost
~920 tokens
SKILL.md length
342 words
Files
18 (incl. references)
Skills in repo
7
Repo updated
First seen
Licence
MIT

At a glance

Evidence-grounded graduate application workflow protocols for this repository.

  • Working on student profile intake
  • SKILL.md covers Core Rules, Workflow Selection, Default Agent Chain and Required Output Shape, plus 1 more section
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
  • Advisor/source intake

What it does

Grad Apply Workflow is an agent skill from Bubble252/offer-harvester. Evidence-grounded graduate application workflow protocols for this repository. Use when working on student profile intake, advisor/source intake, advisor matching, contact email/material drafting, reviewer/auditor checks, interview prep, presentation planning, local user document storage, material versioning, or Agent workflow records in grad-apply-workflow.

Its SKILL.md is about 920 tokens, which your agent loads only when the skill is triggered. The skill folder holds 26 other files, including reference files (for example `agents/openai.yaml`, `references/data-locations.md` and `references/evidence-rules.md`).

It sits in Business, Finance & HR, covering Interview preparation. The licence is MIT.

When your agent uses it

  • Working on student profile intake
  • Advisor/source intake
  • Advisor matching
  • Contact email/material drafting

Example prompts

  • “/grad-apply-workflow”

What it can do on your machine

Read from SKILL.md and the folder at commit c640922. 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

Grad Apply Workflow loads about 920 tokens when it runs, and up to ~1.8k if it reads all its reference files. Until then it costs about 95 tokens; SKILL.md has 342 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~95
When it runs · the whole SKILL.md, loaded when a task matches
~920
With references · SKILL.md plus every file in references/, read only if the agent opens them
~1.8k

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: notes

The automated check noted patterns worth knowing about, such as sudo or a known installer.

  • NoteMentions a .env fileSKILL.md:18
    - Keep real user documents, `.env`, API keys, generated workspace data, and external reference project copies out of Git

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 Bubble252/offer-harvester at commit c640922, republished under its MIT licence (© Bubble252). 342 words, ~920 tokens.

Download SKILL.mdSave it as .claude/skills/grad-apply-workflow/SKILL.md (or your agent's skills folder). This skill also uses 17 other files; get the full folder from GitHub.
name
grad-apply-workflow
description
Evidence-grounded graduate application workflow protocols for this repository. Use when working on student profile intake, advisor/source intake, advisor matching, contact email/material drafting, reviewer/auditor checks, interview prep, presentation planning, local user document storage, material versioning, or Agent workflow records in grad-apply-workflow.

Grad Apply Workflow

Use this skill to run this repository's graduate-application Agent workflows without mixing protocol with business code.

Core Rules

  • Treat this skill as protocol only. Keep executable business logic in app/backend/, storage code in app/backend/storage.py, adapters in integrations/, and tests in tests/.
  • Prefer existing project services as tools before inventing new behavior: profile parsing, advisor source intake, advisor parsing, matching, material generation, interview prep, PPT outline, quality audit, and local PPTX generation.
  • Do not scan workspace/ freely. For student source documents, read workspace/user_documents/manifest.json first and only use manifest-registered paths.
  • Do not write unconfirmed web-sourced student facts into final StudentProfile. Web student information is supplemental until user-confirmed.
  • Preserve evidence for every advisor claim and every material claim that mentions grades, rank, papers, projects, awards, advisor direction, admissions requirements, or lab details.
  • Save final user-facing materials under workspace/generated/; save draft/review/user-edited/final versions under workspace/material_versions/; save Agent run summaries under workspace/agent_runs/.
  • Keep real user documents, .env, API keys, generated workspace data, and external reference project copies out of Git.

Workflow Selection

  • Student source intake: read workflows/student-profile-intake.md and references/data-locations.md.
  • Advisor source intake: read workflows/advisor-intake.md and references/evidence-rules.md.
  • Advisor matching review: read workflows/advisor-match-review.md and references/evidence-rules.md.
  • Contact email or application material generation: read workflows/material-drafter.md, then workflows/material-reviewer.md, then workflows/evidence-auditor.md.
  • Interview preparation: read workflows/interview-prep.md.
  • Presentation/PPT planning: read workflows/presentation-planner.md.
  • Progress or demo reporting: read workflows/workflow-reporter.md.
  • Privacy, safety, or repository-boundary questions: read references/safety-rules.md.

Default Agent Chain

For contact email and similar materials, use this sequence:

text
MaterialDraftAgent
-> MaterialReviewAgent
-> EvidenceAuditAgent
-> user confirmation/edit
-> final GeneratedMaterial

When LLM access is unavailable, the drafter may call the existing deterministic service as fallback. Reviewer and auditor must still run rule-based checks.

Required Output Shape

For any generated material workflow, return or persist:

  • draft: first material candidate
  • review: reviewer notes with concrete risks
  • evidence_audit: claim-by-claim source status
  • revision: revised material after review/audit
  • quality_report: pass/fail, risk level, and unresolved issues

Implementation Boundary

  • Add orchestration code under app/backend/agents/.
  • Add storage primitives only where backend code already owns workspace IO.
  • Keep .agents/skills/grad-apply-workflow/ portable and free of project secrets, generated workspace data, and copied external code.
  • If a rule conflicts with docs/03_execution_plan.md, update the planning doc and this skill together.

© Bubble252, 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 17 other files (references) in .agents/skills/grad-apply-workflow of Bubble252/offer-harvester.

  • SKILL.md
  • agents/openai.yaml
  • references/data-locations.md
  • references/evidence-rules.md
  • references/safety-rules.md
  • source_connectors/advisor-homepage/CONNECTOR.md
  • source_connectors/college-notice/CONNECTOR.md
  • templates/contact-email/TEMPLATE.md
  • templates/personal-statement/TEMPLATE.md
  • workflows/advisor-intake.md
  • workflows/advisor-match-review.md
  • workflows/evidence-auditor.md
  • … and 6 more

Open the folder on GitHubat commit c640922

Compare with similar skills

Grad Apply Workflow 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.

Grad Apply Workflow compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Grad Apply Workflow this skillBubble252/offer-harvester123—~920Automated safety check: NotesMIT
Internship Project Preparation ToolLiuMengxuan04/shushu-internship-tool2.1k—~2.3kAutomated safety check: PassCustom licence
Bank Corporate Credit Ddaifinlab/FinClaw254—~952Automated safety check: PassApache-2.0
Cc Submissionfranklee16/academic-research-skills2231 repos~1.1kAutomated safety check: PassNone
The Loan Officermohitagw15856/pm-claude-skills1.4k—~1.7kAutomated safety check: PassMIT
Pm Interview Prepborghei/Claude-Skills874—~1.4kAutomated safety check: PassMIT

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Questions about Grad Apply Workflow

What does Grad Apply Workflow do?

Evidence-grounded graduate application workflow protocols for this repository. Grad Apply Workflow is an agent skill from Bubble252/offer-harvester. Evidence-grounded graduate application workflow protocols for this repository.

When should I use Grad Apply Workflow?

Grad Apply Workflow fits situations like: working on student profile intake; advisor/source intake; advisor matching; contact email/material drafting.

How do I install Grad Apply Workflow in Claude Code?

Run `npx skills add Bubble252/offer-harvester --skill grad-apply-workflow -a claude-code`. Or copy the skill folder (.agents/skills/grad-apply-workflow in Bubble252/offer-harvester) into .claude/skills/grad-apply-workflow in your project. Claude Code loads it when a task matches its description.

How do I install Grad Apply Workflow in Codex?

Run `npx skills add Bubble252/offer-harvester --skill grad-apply-workflow -a codex`. Or copy the skill folder (.agents/skills/grad-apply-workflow in Bubble252/offer-harvester) into .agents/skills/grad-apply-workflow in your project. Codex loads it when a task matches its description.

Can I use Grad Apply Workflow 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 Bubble252/offer-harvester --skill grad-apply-workflow -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/grad-apply-workflow, .gemini/skills/grad-apply-workflow, .github/skills/grad-apply-workflow and .opencode/skills/grad-apply-workflow in your project.

What does Grad Apply Workflow need to run?

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

Does Grad Apply Workflow 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 Grad Apply Workflow safe to install?

Our automated static check of SKILL.md found notes only (mentions a .env file), nothing it rates as a warning. It is not a guarantee. Review the folder before installing.

What licence does Grad Apply Workflow use?

Grad Apply Workflow is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Grad Apply Workflow use?

About 920 tokens (SKILL.md is roughly 3.7k 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 890 tokens, read only when the agent opens those files.

What are the alternatives to Grad Apply Workflow?

Skills that share tags, products or a category with Grad Apply Workflow: Internship Project Preparation Tool (LiuMengxuan04/shushu-internship-tool, 2.1k stars), Bank Corporate Credit Dd (aifinlab/FinClaw, 254 stars), Cc Submission (franklee16/academic-research-skills, 223 stars) and The Loan Officer (mohitagw15856/pm-claude-skills, 1.4k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Grad Apply Workflow?

Bubble252 (a GitHub user) maintains it in Bubble252/offer-harvester, which has 123 GitHub stars. The repository holds 7 skills in this directory. The repository was last updated on August 27, 2026.

Source: Bubble252/offer-harvester on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.