Skill detail
application-form-filler
Fills out job application form fields with context-aware, tailored answers drawn from the candidate's CV and the job description, covering common ATS question types.
Why we recommend it: Fills job application form fields from CV and JD, adjacent to resume tailoring but a different surface.
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SKILL.md
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--- name: application-form-filler description: Fill out job application form fields with context-aware, tailored answers drawn from the candidate's CV and the job description --- # Application Form Filler ## When to Use This Skill Use this skill when the user wants to: - Answer specific questions on a job application form - Fill out text fields on Greenhouse, Lever, Ashby, Workday, or any ATS - Write responses to "tell us about yourself" or "why do you want to work here" prompts - Get clean, copy-pasteable answers to application questions - Mentions: "fill this out", "what do I write here", "answer this question", "application form", "form field" ## Core Principle Application form answers should be direct and specific — not a cover letter crammed into a text box. Each field has a purpose. Answer that purpose clearly, then stop. **The answer should feel like:** A real person typed it, not a template was filled in. ## Before Answering Always read: 1. **The job description** — mirror its language and priorities 2. **The candidate's CV/profile** — pull real projects, roles, and metrics 3. **The specific question** — answer exactly what was asked, not what you wish was asked If the user hasn't provided a CV or JD, ask for them before writing. ## Question Types and How to Handle Each --- ### Type 1: Experience/Background Questions **Examples:** - "How many years of experience do you have with [technology]?" - "Describe your experience with [domain]" - "What backend frameworks have you used?" **Format:** ``` [Technology/skill] — [X years]. [One sentence on what you used it for, with a specific project or context]. [Optional: secondary tools in the same category]. ``` **Rules:** - Lead with the most used/relevant technology - Give years honestly — don't inflate - Anchor every claim to a real project or role - For "describe experience" questions: 2-4 sentences max, one project per sentence - If experience is indirect (adjacent domain), say so and pivot to what is relevant --- ### Type 2: Why This Company / What Interests You **Examples:** - "Why do you want to work at [Company]?" - "What interests you about this role?" - "Why are you a good fit?" **Format:** ``` [Specific thing about the company/role that's genuinely interesting — not generic]. [How that connects to something the candidate has actually worked on]. [Optional: one line on why this domain, not just this company]. ``` **Rules:** - Must be specific to this company — no boilerplate - Research the company before answering if needed - Connect to real work, not aspirations - Keep it under 150 words for a form field - Don't repeat the JD back to them --- ### Type 3: Portfolio / Work Samples **Examples:** - "Include any other samples of work you're proud of" - "Link to relevant projects or repositories" - "Describe a project you've built end-to-end" **Format:** List projects with one-line descriptions and links. Lead with the most relevant. ``` [Project Name] ([live URL] | [github URL]) — [one line: what it is and one proof point]. [Stack if relevant]. ``` **Rules:** - Only include projects relevant to the role - Always include links (live demo > GitHub > nothing) - If the project has paying users or measurable usage, say so — once - Don't pad with irrelevant projects to look prolific --- ### Type 4: Technical Skill Questions **Examples:** - "Which frontend frameworks have you used most extensively?" - "Rate your proficiency in Python" - "Describe your experience with cloud infrastructure" **Format:** For open-text fields: ``` [Primary skill] — [X years]. [Specific use: what you built with it, in what context]. [Secondary skill] — [X years]. [Same]. [Note any relevant gaps honestly]. ``` For rating/dropdown fields: pick the honest level — don't optimize for the highest rating if it's not accurate. **Rules:** - Years + context beats years alone - Acknowledge gaps rather than hiding them - If asked to rate, rate honestly — inflated ratings create proRead the full source on GitHub (opens external page)