earnings-preview

SkillDocs & knowledge

Earnings preview deck, quarterly earnings presentation, earnings summary slides, consensus vs actual presentation, earnings preview report, pre-earnings analysis, earnings expectations deck, quarterly preview, upcoming earnings summary, earnings announcement preview

Available today. Use it from your connected AI after setup.

Connect ahel once, and every AI you use reads what you have installed.

Then ask your AI: use the earnings-preview skill

What this skill tells your AI

The instructions your AI receives, as published by agentii-ai/agentii-investment-intelligence in plugins/vertical-plugins/models-and-pitches/skills/agentii/earnings-preview/SKILL.md and read by ahel’s review.

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.

Office dependency probe (FR-043) — this skill produces .pptx via Bash + python-pptx:

  1. Live Office session? If mcp__office__* tools are present (Cowork), drive the live document instead of headless Python.
  2. Python library: Bash: python3 -c "import pptx" — if exit ≠ 0, fall back to .md slide spec with data_availability: degraded + python_pptx_missing: true.
  3. LibreOffice: Bash: which soffice for structural validation and PDF export.

If the Python library is absent, report the exact remediation: pip install python-pptx and produce the .md degraded fallback per contracts/office-tooling.md.

Include the X-Agentii-Trace header on every tool call per contracts/x-agentii-trace-header.md.

Triggers

  • generate earnings preview deck
  • build earnings preview presentation
  • create quarterly earnings slides
  • earnings preview pptx
  • earnings summary presentation
  • consensus estimates presentation
  • earnings surprise summary deck
  • quarterly results presentation
  • earnings catalyst calendar slides
  • pre-earnings analyst deck

Defaults

ParameterDefaultNotes
slide_count4-6Title, Company Overview, Consensus Estimates, Historical Surprises, Catalysts, Outlook
lookback_quarters4Trailing 4 quarters for trend analysis
peer_count3-5From search_companies sector peers
source_footersrequiredEvery slide has standard agentii citation footer
templateinstitutional-defaultDark header bar, agentii blue accent, 12pt body

Methodology

Retrieval Scope

This skill performs structured data retrieval (earnings calendar, XBRL facts, company profile) with simple lookups — no unstructured document search. retrieval_scope: structured_only applies. See references/formula-sheet.md for presentation structure guidelines.

Retrieval Strategy

See contracts/retrieval.md for the canonical decision tree; skill-specific retrieval detail is in references/methodology.md.

Temporal Scope

Default: 4 fiscal quarters (max 8). Trailing 4 quarters captures current estimates and YoY comparisons. Maximum 8 quarters for analysts who want 2-year trend context on the estimates slide.

Tool Allowlist

See frontmatter allowed_tools. This skill produces a polished .md slide-deck specification; .pptx rendering is available via the companion financial-analysis:pptx-author skill (separate install; see contracts/office-tooling.md).

Protocol

Step-by-step execution detail is in references/methodology.md.

Deliverable Chain

InputsBuildValidateOutputNext

  1. Inputs: resolved ticker + earnings calendar, consensus estimates, and trailing XBRL facts (search_earnings_calendar, search_xbrl_facts, search_companies, get_company_profile).
  2. Build: write a self-contained Python script using python-pptx that creates the 4–6 slide .pptx deck per ## Output Structure. Execute via Bash: python3 script.py. Verify the .pptx file exists. If python-pptx is absent, fall back to .md slide spec per contracts/office-tooling.md.
  3. Validate: run the ## Validation Gates below.
  4. Output: write the artifact path per ## Output File.
  5. Next: append to agentii.md; hand off to a downstream pitch/review skill if requested.

Validation Gates

  1. slide count: between 4 and 6. If failed: If outside range: refuse delivery.
  2. estimates slide: includes consensus, high, and low estimates. If failed: If missing: flag in Coverage Gaps.
  3. source footers: every slide has source_footer with standard agentii citation. If failed: If any missing: refuse delivery.
  4. peer comparison: has >= 3 peers. If failed: If < 3: flag in Coverage Gaps.

Tool Fallbacks

Per-tool failure modes and fallback actions are tabulated in references/tool-fallbacks.md.

Output File

Primary deliverable: {ticker}/{YYYY-MM-DD_HHMM}_earnings-preview_{affix}.pptx — real PowerPoint binary via Bash + python-pptx per contracts/office-tooling.md. Degraded fallback: {ticker}/{YYYY-MM-DD_HHMM}_earnings-preview_{affix}.md when python-pptx is absent (FR-044).

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-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

Failure ModeDetectionActionUser-Facing Message
Missing earnings datasearch_earnings_calendar returns emptyUse search_xbrl_facts for historical actuals only; flag estimates as unavailable"Consensus estimates not available for {ticker}; presentation based on historical actuals only."
Partial data<80% expected fields returnedProceed with coverage gaps section"Presentation based on partial data; see Coverage Gaps."
Sector mismatchPeer sector != target sectorFilter out mismatched peers"Removed {n} peer(s) due to sector mismatch."
Insufficient history<4 quarters of data availableDowngrade to limited-history presentation (3 slides min)"Limited historical data available; presentation adjusted."
MCP unreachableagentii Preflight probe failsHalt with actionable error"agentii data plane unreachable; check connection and AGENTII_API_KEY."
Office backend unreachableAll 3 office backends fail PreflightHalt with AGENTII_OFFICE_UNREACHABLE"No office backend available. Options: (a) set AGENTII_API_KEY for agentii-office, (b) pip install python-pptx, (c) install OfficeCLI."
Knowledge Store unavailableget_entity_knowledge returns 503Fall back to get_company_profile + search_companies; flag with knowledge_store_degraded: true"Knowledge Store not yet available; peer analysis based on filing-derived entity context."

Signals

GitHub stars
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Last commit
Sep 2026
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skill
Gateway key
earnings-preview
Source
github.com/agentii-ai/agentii-investment-intelligence