earnings-preview
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
git clone --depth 1 https://github.com/agentii-ai/agentii-investment-intelligence /tmp/earnings-preview && cp -r /tmp/earnings-preview/plugins/vertical-plugins/models-and-pitches/skills/agentii/earnings-preview ~/.claude/skills/earnings-previewSKILL.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`.
**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
| Parameter | Default | Notes |
|-----------|---------|-------|
| slide_count | 4-6 | Title, Company Overview, Consensus Estimates, Historical Surprises, Catalysts, Outlook |
| lookback_quarters | 4 | Trailing 4 quarters for trend analysis |
| peer_count | 3-5 | From search_companies sector peers |
| source_footers | required | Every slide has standard agentii citation footer |
| template | institutional-default | Dark 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
**Inputs** → **Build** → **Validate** → **Output** → **Next**
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 `con>-
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