MCP App StoreMCP App StoreParses a DearCC intake (file or pasted text), derives a short internal search brief, and returns a structured JSON job search request ready for downstream browser or search agents. The output includes inferred job title, keywords, exclusions, location/work mode, seniority, salary preferences, and a capped result set.
Use when you have a candidate intake or questionnaire and want to generate a machine-friendly job search request (LinkedIn default). Ideal for automating candidate sourcing, running batch searches, or integrating with browser agents that perform job lookups.
Best for agents that can parse text and hand off JSON to browser-driven search agents.
DearCC JobClaw converts intake files/questionnaires into structured job search JSON requests. No bundled scripts — purely an instructional SKILL.md guiding the agent through parsing and structuring. Well-defined input/output contracts with clear error handling for missing answers. Niche audience limited to DearCC ecosystem users.
Clean instructional skill with no security concerns. No executable code, no network calls, no data exfiltration risk. Useful for its specific niche but limited broad appeal.
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Junshi — Research Advisor
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Claw Bench
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