recent-quarter
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
git clone --depth 1 https://github.com/agentii-ai/agentii-investment-intelligence /tmp/recent-quarter && cp -r /tmp/recent-quarter/plugins/vertical-plugins/equity-research-core/skills/agentii/recent-quarter ~/.claude/skills/recent-quarterSKILL.md
# Recent Quarter Performance
## 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`.
## Triggers
- analyze recent quarter performance for {ticker}
- quarterly earnings review for {ticker}
- last quarter results {ticker}
- quarterly financial performance {ticker}
- analyze {ticker} recent quarter
- {ticker} Q4 earnings
- {ticker} quarterly revenue breakdown
- EPS this quarter {ticker}
- margin analysis recent quarter {ticker}
- sequential growth {ticker}
## Defaults
| Parameter | Default | Notes |
|-----------|---------|-------|
| lookback_quarters | 1 | Single most-recent quarter |
| include_sequential | true | Show QoQ growth rates |
## Methodology
### 1. Retrieval Scope
This skill performs **structured data retrieval only** (XBRL facts + earnings calendar). No unstructured document search — business-model structural analysis is handled by `/agentii:business-model` . This skill is TEMPORAL/QUANTITATIVE .
### 2. Retrieval Strategy
1. ** Pre-flight (mandatory)**: `get_company_fiscal_calendar/{ticker}` then `get_ticker_coverage/{ticker}`. Route based on coverage.
2. **XBRL retrieval**: `search_xbrl_facts(ticker, concept=["Revenues","GrossProfit","OperatingIncomeLoss","NetIncomeLoss","EarningsPerShareDiluted"], fiscal_year=[latest])` — returns `is_primary: true` rows by default.
3. **Earnings calendar**: `search_earnings_calendar(ticker, fiscal_year=[latest, latest-1])` — returns EPS actual/estimate/surprise. Use `get_company_fiscal_calendar` for fiscal period orientation, NOT `search_earnings_calendar` .
4. **Consolidated P&L**: `get_company_financials/{ticker}` returns IS/BS/CF highlights with XBRL data.
### 3. Temporal Scope
Default: 1 fiscal quarter (max 4). This skill is a temporal snapshot of the most recent quarter's financial performance.
### 4. Tool Allowlist
See frontmatter `allowed_tools`. This skill is `structured_only` (temporal/quantitative only). `search_xbrl_facts` is the primary data source for consolidated P&L metrics. `search_earnings_calendar` provides EPS actuals, estimates, and surprise data. `get_company_fiscal_calendar` resolves fiscal period orientation. Document search and structural analysis belong to `/agentii:business-model` .
### 5. Protocol
1. **Pre-retrieval**: call `get_company_fiscal_calendar/{ticker}` to resolve fiscal period format, then `get_ticker_coverage/{ticker}` .
2. **XBRL retrieval**: `search_xbrl_facts(ticker, concept=["Revenues","GrossProfit","OperatingIncomeLoss","NetIncomeLoss","EarningsPerShareDiluted"], fiscal_year=[latest])` — returns `is_primary: true` rows by default.
3. **Earnings calendar**: `search_earnings_calendar(ticker, fiscal_year=[latest, latest-1])` for EPS actuals, estimates, and surprise percentages.
4. **Financial highlights**: `get_company_financials/{ticker}` for IS/BS/CF summary data.
5. **Output**: produce P&L progression table with QoQ and YoY growth rates, margin trend chart data, and earnings-vs-consensus comparison.
## Modes (5 — temporal / quantitative)
**This skill is temporal/quantitative ONLY.** Structural analysis (business model classification, product-line decomposition, channel analysis) belongs to `/agentii:business-model` . Modes below focus on quarterly P&L data, growth rates, margins, and earnings vs. consensus.
### Analyst Modes
This skill exposes addressable analysis modes (`--mode=<slug>` / `--modes=<s1>,<s2>` / `--mode=all`; see [Mode syntax](../../../../docs/commands/MODE_SYNTAX.md)). The full mode definitions and their output templates live in `references/modes.md`. The default invocation runs the essentials subset.
## Tool Fallbacks
Per-tool failure modes and fallback actions are tabulated in `references/tool-fallbacks.md`.
## Output File
Write the final deliverable to `{ticker}/{YYYY-MM-DD_HHMM}_recent-quarter_{affix}.md` . Example affixes: `consolidated-p-and-l`, `margin-trends`, `earnings-vs-consensus`.
## Output Structure
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:
1. **Executive Summary** — headline conclusions (≤200 words).
2. **Core analysis sections** — per this skill's methodology and analyst modes.
3. **Data classification** — tag findings `[FACT]` / `[DEDUCTED]` / `[VIEW]` per `contracts/snapshot-synthesis.md`.
4. **Coverage Gaps & Citations** — inline `/v/` citations are PRIMARY (immediately after each fact); the bottom **Citations** section is a non-duplicative roll-up index.
5. **Output frontmatter** — emit the FR-090 structured block per `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`.
## 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-M>-
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
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
Turnaround analysis, stagnation detection, performance inflection, operational improvement, restructuring analysis, management change impact, cost cutting effectiveness, business transformation, recovery trajectory, operational metrics improvement