competitive-positioning
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
git clone --depth 1 https://github.com/agentii-ai/agentii-investment-intelligence /tmp/competitive-positioning && cp -r /tmp/competitive-positioning/plugins/vertical-plugins/industry-analysis/skills/agentii/competitive-positioning ~/.claude/skills/competitive-positioningSKILL.md
# competitive-positioning
## Triggers
- 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
## Defaults
| Parameter | Default Value | Rationale |
|-----------|---------------|-----------|
| ticker | (required) | Stock symbol to analyze |
| lookback_quarters | 4 | Standard lookback for this skill type |
## Methodology
### 1. Retrieval Scope
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.
### 2. Retrieval Strategy
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.
### 3. Temporal Scope
Default lookback: 4 fiscal quarter(s); maximum: 10. The default balances recency against the trend window this analysis requires.
### 4. Tool Allowlist
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 index
- `get_company_financials` — consolidated IS/BS/CF highlights
- `list_coverage` — universe-level coverage discovery
- `get_company_profile` — sector/industry classification + metadata
- `read_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 items
- `read_source_pages` — Layer 3 deep read of selected pages with table markers
- `search_keyword_in_source` — Layer 2.5b keyword page filter for large documents
### 5. Protocol
1. **Pre-flight (mandatory)**: `get_company_fiscal_calendar/{ticker}` then `get_ticker_coverage/{ticker}`; route on coverage.
2. **Layer 1 — discovery**: `search_documents` / `search_sec_filings` to find candidate filings by ticker/form_type/date.
3. **Layer 2 — page map**: `read_source_outline/{ticker}/{citation_id}`; skip NULL-description pages; escalate to `read_source_deep_outline` only when labels can't disambiguate.
4. **Layer 2.5 (optional)**: `search_keyword_in_source` to narrow documents >50 pages.
5. **Layer 3 — deep read**: `read_source_pages/{ticker}/{citation_id}?row_numbers=page<N>,...` for the 3–5 selected pages only.
6. **Multi-period** (if applicable): `search_cross_period` after fiscal-calendar resolution.
7. **Output**: write the deliverable per `## Output File`, then append to `agentii.md`.
## Output File
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` .
## Output Structure
1. **Executive Summary** (≤200 words) — headline conclusions for the analysis.
2. **Data Sources** — filings + structured endpoints used, with `{ticker} {citation_id} page<N>` citations.
3. **Analysis** — the core findings, tables, and commentary for this dimension.
4. **Key Metrics** — the quantitative results with QoQ/YoY context where relevant.
5. **Coverage Gaps & Citations** — data not retrievable + citation index.
**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`.
## Preflight
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`.
## Memory & Snapshot
- **Memory load** (pre-flight): load prior workspace context for the ticker before retrieval — see `contracts/memory-load.md`.
- **Structured output frontmatter**: emit the FR-090 block (`key_metrics`, `conclusions`, `facts_count`, `deducted_count`, `views_count`, `citation_count`) per `contracts/output-frontmatter-schema.md`.
- **Snapshot synthesis**: after writing the deliverable, update the two-tier snapshot and classify findings as `[FACT]`/`[DEDUCTED]`/`[VIEW]` — see `contracts/snapshot-synthesis.md`.
- **Session archival**: record the run under `sessions/{YYYY-MM-DD}/` and update `sessions/INDEX.md` per `contracts/session-format.md`.
## Final Summary (TUI)
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 Handling
| 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**: [`references/methodology.md`](references/methodology.md) — tool fallbacks, retrieval strategy, analysis framework>-
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
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
Earnings sentiment analysis, analyst estimates vs guidance, earnings surprise history, consensus sentiment, earnings revision trends, analyst rating changes, earnings beat miss track record, guidance accuracy, whisper numbers, pre-announcement sentiment
Growth strategy analysis, organic growth decomposition, inorganic growth, M&A strategy, pipeline analysis, revenue growth drivers, strategic initiatives, expansion strategy, growth trajectory, product pipeline growth
Recent quarter performance analysis, quarterly earnings review, last quarter results, quarterly financial performance, analyze recent quarter, Q4 earnings, quarterly revenue breakdown, EPS this quarter, margin analysis recent quarter, sequential growth, quarterly performance review
Risk analysis, regulatory risk assessment, competitive risk, macro risk, technology risk, litigation risk, financial risk assessment, enterprise risk, operational risk, geopolitical risk exposure
Secular technology trends, technology adoption cycle, disruption risk, AI impact analysis, digital transformation, industry 4.0 trends, technology moat, innovation trajectory, R&D effectiveness, tech competitive positioning