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# Skill: Ranking `ranking_persons(...)` returns the human-readable Markdown report. `rank_person_rows(...)` returns structured rows for composing other workflows without parsing Markdown. **Description:** Core engine to rank entities (like SICTIC members) against a specific objective using an LLM-powered Swiss tournament algorithm. It acts as the unified backend for skills like `expert_search` and `potential_investors`. **Available Targets:** * `persons`: Resolves member profiles, runs a semantic search to filter candidates, and ranks them. **Usage:** `ranking` is a backend utility and is not exposed as a harness slash command. For normal workflows, use the harness commands that call this engine: ```bash conda run -n sictic-env python -m skills.harness /expert_search "<STARTUP_NAME>" conda run -n sictic-env python -m skills.harness /potential_investors "<STARTUP_NAME>" ``` Run the ranking module directly only when debugging ranking behavior. Provide an objective and optionally a semantic query: ```bash conda run -n sictic-env python -m skills.ranking --target persons --objective "Looking for someone with deep expertise in B2B SaaS sales" --query "B2B SaaS Sales" --top_k 8 ```