proposal-interview

What This Skill Does

The proposal-interview skill acts as a dedicated discovery engine for professional branding. Unlike generic resume builders that simply reformat history, this agent performs a deep-dive interview to extract the specific, human-centric narratives that win high-value contracts. By surfacing unique experiences—such as cross-cultural challenges, personal side-projects, or lessons learned from non-traditional roles—it builds a persistent library of high-impact, approved statements. These statements are then cataloged and refined, enabling you to construct bespoke proposals for Upwork, LinkedIn, or grant applications in seconds.

Installation

To integrate this skill into your environment, run the following command in your terminal: clawhub install openclaw/skills/skills/drafthead/proposal-and-coverletter-interviewer-improver

Use Cases

• Freelance Proposals: Quickly assemble personalized cover letters for Upwork or Toptal that highlight specific, relevant skills rather than boilerplate text.
• Career Transitioning: Translate experience from disparate industries into a cohesive narrative for new, target roles.
• Statement Library Building: Create a repository of vetted, "always-ready" paragraphs about your professional philosophy, technical expertise, and soft skills.
• Grant & RFP Drafting: Maintain high-fidelity documentation of project history and organizational impact that can be adjusted for specific donor requirements.

Example Prompts

1. "I am applying for a senior backend developer role on Upwork. Run an interview session to help me pull out facts about my previous work on distributed systems and my experience living in Berlin."
2. "Review my profile.md and generate 5 new statements regarding my leadership style that I can use in upcoming job applications."
3. "I have a new potential client for a robotics project. Can you assemble a proposal draft using my approved statements from the #robotics and #system-design categories?"

Tips & Limitations

• Be Specific: The more granular facts you provide during the interview phase, the more compelling your statements will be. Avoid vague descriptions.
• Maintain the Repository: Since the skill relies on statements.md and user.md, ensure you review the AI-generated output to maintain quality. The agent learns from your approvals, so treat the feedback loop as training for your future self.
• Privacy Note: Because the skill stores data in local files, be mindful of sensitive or proprietary client information. Only store what you are comfortable having indexed locally by the OpenClaw agent.