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Competitive positioning, strategic group mapping, differentiation analysis, competitive advantage assessment, market positioning map, value chain positioning, brand positioning, cost leadership vs differentiation, niche strategy analysis, disruptive positioning
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Institutional-grade equity research skills for AI agents. 31 Claude-type skills across 5 verticals (equity-research-core, business-intelligence, industry-analysis, models-and-pitches, quantitative-analysis) powered by agentii.ai's agent-use-ready SEC filing data plane — 10 years of filings, XBRL financials, earnings calendars, and company profiles for 165+ US-public-equity tickers. Features the three-layer retrieval protocol (Document Discovery → Page Map → Deep Read, with deep-outline escalation) for ~99% token efficiency, server-side parallel multi-period search via search_cross_period, and a full Excel/PPT generation pipeline with 3-tier office backend support.
Business model classification, business model analysis, structural analysis of how a company makes money, product offering decomposition, distribution channel analysis, customer segment analysis, revenue model identification, market sizing TAM SAM SOM, competitive positioning, business unit performance, management team & leadership analysis, what does the company sell, how does the company go to market, business model type platform service product, channel mix direct vs indirect, revenue concentration risk, CEO CFO executive backgrounds and changes
Operational KPI tracking, headcount trends, utilization rates, backlog analysis, book-to-bill ratio, operational efficiency metrics, capacity utilization, productivity metrics, operational leverage, same-store sales
基于 SOC 职业分类
正在显示 SKILL.md
| name | competitive-positioning |
| multi_ticker_semantics | target_with_required_peers |
| description | Competitive positioning, strategic group mapping, differentiation analysis, competitive advantage assessment, market positioning map, value chain positioning, brand positioning, cost leadership vs differentiation, niche strategy analysis, disruptive positioning |
| temporal_scope | {"default_quarters":4,"max_quarters":10,"description":"Typical lookback: 4 quarters, max: 10"} |
| allowed_tools | ["search_companies","search_xbrl_facts","search_documents","search_sec_filings","get_company_financials","list_coverage","get_company_profile","read_source_outline","read_source_deep_outline","list_xbrl_concepts","read_source_pages","search_keyword_in_source"] |
| retrieval_scope | unstructured_document_search |
| min_tool_diversity | 6 |
| Parameter | Default Value | Rationale |
|---|---|---|
| ticker | (required) | Stock symbol to analyze |
| lookback_quarters | 4 | Standard lookback for this skill type |
This skill operates with retrieval_scope: unstructured_document_search. It performs unstructured document search at scale via the three-layer retrieval protocol (Layer 1→2→2.5→3), escalating to read_source_deep_outline only when lightweight labels cannot disambiguate pages, plus structured XBRL where needed.
Follows the retrieval strategy decision tree in contracts/retrieval.md. Primary branch: (b)/(c) Unstructured Query via the three-layer protocol. Resolve the canonical ticker first (exact → fuzzy alias → share-class) before any data call.
Default lookback: 4 fiscal quarter(s); maximum: 10. The default balances recency against the trend window this analysis requires.
Per frontmatter allowed_tools:
search_companies — ticker resolution + company context (entity-alias fuzzy match)search_xbrl_facts — primary structured financial facts (is_primary default)search_documents — Layer 1 document discovery (page-level silver records)search_sec_filings — Layer 1 SEC filing metadata indexget_company_financials — consolidated IS/BS/CF highlightslist_coverage — universe-level coverage discoveryget_company_profile — sector/industry classification + metadataread_source_outline — Layer 2 lightweight page map (description + keywords)read_source_deep_outline — Layer 2.5a deep page map (table_titles/drivers/metrics)list_xbrl_concepts — US-GAAP concept discovery for non-standard line itemsread_source_pages — Layer 3 deep read of selected pages with table markerssearch_keyword_in_source — Layer 2.5b keyword page filter for large documentsget_company_fiscal_calendar/{ticker} then get_ticker_coverage/{ticker}; route on coverage.search_documents / search_sec_filings to find candidate filings by ticker/form_type/date.read_source_outline/{ticker}/{citation_id}; skip NULL-description pages; escalate to read_source_deep_outline only when labels can't disambiguate.search_keyword_in_source to narrow documents >50 pages.read_source_pages/{ticker}/{citation_id}?row_numbers=page<N>,... for the 3–5 selected pages only.search_cross_period after fiscal-calendar resolution.## Output File, then append to agentii.md.Write the final deliverable to _cross/{descriptive-slug}_{YYYY-MM-DD_HHMM}_competitive-positioning_{affix}.md or _sector/{sector_name}/{YYYY-MM-DD_HHMM}_competitive-positioning_{affix}.md .
{ticker} {citation_id} page<N> citations.Citations & memory: follow contracts/citation-and-memory.md — ≥1 citation per 200 words; every material fact, table row, and metric is immediately followed by its inline clickable https://agentii.ai/v/{ticker}/{citation_id}/{N} link; a bottom Citations section provides a non-duplicative roll-up index; the closing TUI reply includes a compact Key Citations list (headline 5–10 facts) of clickable /v/ URLs; and append the run to agentii.md per contracts/agentii-md-schema.md.
Run the canonical pre-flight sequence — MCP health probe, ticker resolution, workspace style.md override, memory load, and coverage check. See contracts/preflight.md.
Include the X-Agentii-Trace header on every tool call per contracts/x-agentii-trace-header.md.
contracts/memory-load.md.key_metrics, conclusions, facts_count, deducted_count, views_count, citation_count) per contracts/output-frontmatter-schema.md.[FACT]/[DEDUCTED]/[VIEW] — see contracts/snapshot-synthesis.md.sessions/{YYYY-MM-DD}/ and update sessions/INDEX.md per contracts/session-format.md.End the closing chat reply with a compact Key Citations list (headline 5–10 facts), each a clickable https://agentii.ai/v/{ticker}/{citation_id}/{N} link, so the user can cmd+click straight to the exact SEC page. See contracts/citation-and-memory.md.
| Error | Action |
|---|---|
| Ticker not found | Suggest checking spelling or trying list_coverage |
| No data available | Flag in Coverage Gaps, proceed with available data |
| API key invalid | Direct user to agentii.ai/api-keys |
| MCP server unreachable | Retry once; if persistent, halt with AGENTII_MCP_UNREACHABLE |
references/methodology.md — tool fallbacks, retrieval strategy, analysis frameworkreferences/output-structure.md — detailed deliverable sections and ordering