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
npx skills add https://github.com/agentii-ai/agentii-investment-intelligence --skill recent-quarter
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_quarters | 1 | Single most-recent quarter |
| include_sequential | true | Show QoQ growth rates |
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 .
get_company_fiscal_calendar/{ticker} then get_ticker_coverage/{ticker}. Route based on coverage.search_xbrl_facts(ticker, concept=["Revenues","GrossProfit","OperatingIncomeLoss","NetIncomeLoss","EarningsPerShareDiluted"], fiscal_year=[latest]) — returns is_primary: true rows by default.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 .get_company_financials/{ticker} returns IS/BS/CF highlights with XBRL data.Default: 1 fiscal quarter (max 4). This skill is a temporal snapshot of the most recent quarter's financial performance.
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 .
get_company_fiscal_calendar/{ticker} to resolve fiscal period format, then get_ticker_coverage/{ticker} .search_xbrl_facts(ticker, concept=["Revenues","GrossProfit","OperatingIncomeLoss","NetIncomeLoss","EarningsPerShareDiluted"], fiscal_year=[latest]) — returns is_primary: true rows by default.search_earnings_calendar(ticker, fiscal_year=[latest, latest-1]) for EPS actuals, estimates, and surprise percentages.get_company_financials/{ticker} for IS/BS/CF summary data.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.
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}_recent-quarter_{affix}.md . Example affixes: consolidated-p-and-l, margin-trends, earnings-vs-consensus.
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." |
| MCP unreachable | Preflight probe fails | Halt with actionable error | "agentii data plane unreachable; check connection." |
Take agentii-ai/recent-quarter from the repository into ~/.claude/skills for personal
use, or into .claude/skills inside a project.
The agent identifies a skill by the name field in its header. Two skills with the
same name cannot sit side by side — one of them will be ignored.