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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

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含まれるファイル(6)

  • SKILL.md9.0 KB
  • references/knowledge-frameworks.md2.2 KB
  • references/modes.md2.7 KB
  • references/output-structure.md1.5 KB
  • references/tool-fallbacks.md748 B
  • references/wsp-methodology.md12.1 KB

SKILL.md(原文)

インストールする前に、エージェントに与えられる指示の中身を確認できます。

Recent Quarter Performance

Preflight

Run canonical pre-flight per contracts/preflight.md.

Include the X-Agentii-Trace header on every tool call per contracts/x-agentii-trace-header.md — carry the _run_id from your first tool result and name yourself (and your parent, if you were spawned).

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

ParameterDefaultNotes
lookback_quarters1Single most-recent quarter
include_sequentialtrueShow QoQ growth rates

Methodology

1. Retrieval Scope

This skill performs structured data retrieval (XBRL facts + earnings calendar) plus earnings call transcript document search (search_documents(form_type="earnings_call_transcript") → read_source_pages) to cross-reference management's call commentary against the reported quarter. 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.

Read before you quote. A page's description is platform-generated — it is never the issuer's words and must never be quoted as the filing's. When a description identifies a relevant page, read_source_pages that page and quote its page_content. The description is a pointer, not a source: a citation written from one is the fabricated quote this skill's output standard exists to prevent (contracts/retrieval.md § Three-Layer Document Protocol).

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. 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; search_documents(form_type="earnings_call_transcript") + read_source_pages cross-reference management commentary. Deep structural analysis belongs 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). 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 — coverage gaps are required; inline /v/ citations are the citation surface (immediately after each fact). A bottom roll-up index is optional, and where kept it must not repeat a link the prose already carries.
  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; citations belong inline, a bottom roll-up index is optional and never a repeat of a link already given; 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-MM-DD}/ and update sessions/INDEX.md per contracts/session-format.md.

Final Summary (TUI)

End the closing chat reply with the summary shape in contracts/citation-and-memory.md — Citation Placement Policy item 3: title · key conclusions · key metrics · Executive Summary · Key Citations (the 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 without opening the file.

Error Handling

Failure ModeDetectionActionUser-Facing Message
Missing dataData API returns empty result setWiden date range and retry once"No data available for {ticker} in requested window."
Partial dataData API returns <80% expected recordsProceed with coverage gaps section"Analysis based on partial data; see Coverage Gaps section."
MCP unreachablePreflight probe failsHalt with actionable error"agentii data plane unreachable; check connection."

Ownership & insider signals: search_institutional_holdings (top-10 holders + whale portfolios, direction=accumulating|reducing|new|exited) and search_insider_trades (Form-4 transactions with SEC URLs) are available as signal inputs.

レビュー

まだレビューはありません。使ってみた感想をお寄せください。

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