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Competitive landscape analysis, competitor comparison, peer positioning, market share dynamics, competitive moat assessment, Porter five forces, industry competition, competitive advantage analysis, market positioning, strategic group mapping, compare competitors
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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 |
| multi_ticker_semantics | target_with_required_peers |
| description | Competitive landscape analysis, competitor comparison, peer positioning, market share dynamics, competitive moat assessment, Porter five forces, industry competition, competitive advantage analysis, market positioning, strategic group mapping, compare competitors |
| temporal_scope | {"default_quarters":4,"max_quarters":12,"description":"Typical lookback: 4 quarters, max: 12"} |
| allowed_tools | ["search_companies","search_xbrl_facts","search_documents","search_sec_filings","get_company_financials","list_coverage","search_earnings_calendar","get_company_profile","batch_search","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 | 10 |
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.
| Parameter | Default | Notes |
|---|---|---|
| lookback_years | 3 | Historical data window |
| include_peers | false | Whether to surface a peer comparison block |
This skill performs unstructured document search at scale (10-K, 10-Q, 8-K filings spanning multiple fiscal periods). The three-layer agent-use-ready retrieval protocol (Document Discovery → Page Map → Deep Read) applies to all unstructured document search at scale.
Follow the retrieval strategy decision tree in contracts/retrieval.md. This skill uses:
search_xbrl_facts with list_xbrl_concepts pre-condition for unfamiliar concepts.read_source_outline → read_source_pages.get_company_profile / search_earnings_calendar.**Layer 1 secondary_label allowlist **: prefer ?secondary_labels=material_definitive_agreement_1_01,other_events_8_01 to surface M&A / partnership / strategic-action 8-Ks before Layer 2.
Default: 8 fiscal quarters (max 16). Competitive landscape: 8 quarters for market-share trajectories and positioning shifts
See frontmatter allowed_tools.
This skill delivers analyst-grade output via 8 addressable mode(s); invoke with --mode=<slug> / --modes=<slug1>,<slug2> / --mode=all (see Mode syntax. The default invocation (no flag) runs the essentials_modes subset declared in this skill's frontmatter.
This skill exposes addressable analysis modes (--mode=<slug> / --modes=<s1>,<s2> / --mode=all; see Mode syntax). The full mode definitions and their output templates live in references/modes.md. The default invocation runs the essentials subset.
Per-tool failure modes and fallback actions are tabulated in references/tool-fallbacks.md.
Write the final deliverable to {ticker}/{YYYY-MM-DD_HHMM}_competitive_peer-positioning.md .
The deliverable is a structured markdown report written to the path in ## Output File. Full section-by-section template (headings, tables, and field definitions) lives in references/output-structure.md. Required elements:
[FACT] / [DEDUCTED] / [VIEW] per contracts/snapshot-synthesis.md./v/ citations are PRIMARY (immediately after each fact); the bottom Citations section is a non-duplicative roll-up index.contracts/output-frontmatter-schema.md.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.
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.
| Failure Mode | Detection | Action | User-Facing Message |
|---|---|---|---|
| Missing data | Data API returns empty result set | Widen date range and retry once | "No data available for {ticker} in requested window." |
| Partial data | Data API returns <80% expected records | Proceed with coverage gaps section | "Analysis based on partial data; see Coverage Gaps section." |
| Sector mismatch | Peer sector != target sector | Filter out mismatched peers | "Removed {n} peer(s) due to sector mismatch." |
| Insufficient history | Ticker <3 years on public markets | Downgrade to limited-history profile | "Limited historical data; analysis adjusted accordingly." |
| MCP unreachable | Preflight probe fails | Halt with actionable error | "agentii data plane unreachable; check connection." |