{"id":81061,"plugin_id":"plugin_asdk_app_6aac2e7529fc819188f331a42e6d0a91","kind":"skill","collection_source":"plugin_package","comparison_source":null,"observed_at":"2026-11-04T18:10:41.266Z","digest":"1a02f7ea45d6a8c174853c334fb201e0ff7c626fd95047f39a3f54e5680b44ec","against":null,"payload":{"description":"Find published investment ideas in BeliefState by thesis, investment theme or trade setup, including questions spanning companies without a ticker. Use for evidence-backed idea discovery, not an exhaustive market screener.","included_files":[],"name":"find-investment-ideas","skill_md_contents":"---\nname: find-investment-ideas\ndescription: Find published investment ideas in BeliefState by thesis, investment theme or trade setup, including questions spanning companies without a ticker. Use for evidence-backed idea discovery, not an exhaustive market screener.\n---\n\n# Find investment ideas\n\nUse the connected BeliefState tools to help the user explore an investment question. Reuse adequate records already in the conversation before making another metered read.\n\n- Start from the user's public research question: a business trend, sector, catalyst, concern or trade setup. A ticker is optional. Examples include electricity demand, pricing power, refinancing risk or competing investment cases.\n- Use `search_beliefs` with `q` for the thesis or topic. Apply only selectors supported by the available tool schema; a natural-language setup is a retrieval question, not a guaranteed structured trade filter. Do not invent a ticker for a non-company subject.\n- Return compact candidates with the attributed investor, asset or subject, source date, thesis, matching evidence and material risks. Preserve each returned `belief_id` and citation URL for deeper reading.\n- Open selected cases with `get_belief` when needed to explain the idea or answer a follow-up. Do not fetch every candidate merely because it was returned. If the user wants a comparison, use two distinct returned cases with `compare_beliefs`.\n- Preserve ranking, indexing and coverage qualifications separately. A top result is not a recommendation, exhaustive market coverage or proof of consensus. No match means no supported match in the available library, not that the investment idea is false.\n- Follow a returned search cursor only when more results are useful, with the same query, selectors and historical cutoff. Stop and explain partial/unavailable results rather than silently treating them as complete.\n- For a historical question, preserve `as_of` and actual recorded availability/observation dates. An earlier source publication date alone does not prove the library or customer could access that view then.\n\nUse plain language for a beginner and retain IDs, dates and evidence for an analyst or research agent. Distinguish the source's stated view from BeliefState's engine analysis and your interpretation. Shared topics or authors do not establish independent support. Missing dates, conviction, conditions or outcomes stay unknown; do not infer trades, investing skill or returns.\n\nKeep goals, holdings, position sizes, risk preferences and conversation history in the customer's AI. Send only bounded public research selectors and a short public research goal as tool `context`, never private portfolio/account details, credentials or source bodies. Supply required model metadata truthfully. Make the first tool call serial, then reuse the server's exact `conversation_id` unchanged, including across follow-up requests. Use the available schemas rather than assuming newer fields or unpublished tools. Research can consume allowance or prepaid credit; on access/provider failures, relay the returned error and recovery guidance without inventing evidence or repeated paid retries.\n"},"changes":[],"summary":"First saved snapshot. No earlier version is available for comparison.","summary_kind":"deterministic","summary_metadata":{}}