10k-digest
Deep-read a 10-K annual report and output a structured markdown digest — abstract, section summaries, key metrics, and sourced…
Run InvestSkill analysis modules on a stock at configurable depth and compile a professional HTML report saved to the output/ directory
$ npx -y skills add yennanliu/investskill --skill full-report --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
/full-reportContext preview
The summary Claude sees to decide when to auto-load this skill.
Run InvestSkill analysis modules on a stock at configurable depth and compile a professional HTML report saved to the output/ directory
description: Run InvestSkill analysis modules on a stock at configurable depth and compile a professional HTML report saved to the output/ directory
Orchestrate InvestSkill analysis modules on one ticker at your chosen depth, synthesize findings into a unified investment thesis with composite scoring, and produce a standalone professional HTML report with interactive Chart.js visualizations.
Select how many modules to run with `--depth`:
| Flag | Modules | Best For | |------|---------|----------| | `--depth quick` | 5 core modules | Rapid screen, time-constrained due diligence | | `--depth standard` | 10 modules | Balanced research before initiating a position | | `--depth comprehensive` | All 15 modules | Full pre-commitment due diligence (default) |
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| # | Module | Focus | |---|--------|-------| | 1 | `stock-eval` | Company overview, competitive position, relative valuation | | 2 | `technical-analysis` | MA, RSI, MACD, volume, support/resistance | | 3 | `stock-valuation` | DCF intrinsic value (bear/base/bull), P/E, EV/EBITDA, peer multiples | | 4 | `insider-trading` | SEC Form 4 patterns, net insider sentiment | | 5 | `earnings-call-analysis` | Management tone, guidance quality, key themes |
| # | Module | Focus | |---|--------|-------| | 6 | `institutional-ownership` | 13F holdings, smart money flows | | 7 | `competitor-analysis` | Moat, market share, Porter's Five Forces | | 8 | `sector-analysis` | Sector rotation, relative strength | | 9 | `options-analysis` | IV, Put/Call ratio, max pain, strategies | | 10 | `short-interest` | Short ratio, squeeze risk, days-to-cover |
| # | Module | Focus | |---|--------|-------| | 11 | `bear-case` | Short-seller red-team, Thesis-Killers, downside target | | 12 | `catalyst-calendar` | Dated events in the next 90 days and their expected impact | | 13 | `economics-analysis` | Macro environment, rate sensitivity | | 14 | `financial-report-analyst` | 10-K/10-Q deep dive, risk factors | | 15 | `dividend-analysis` | Yield, payout ratio, sustainability |
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Modules are grouped into phases regardless of depth. Earlier phases inform later-phase assumptions.
Establish qualitative and quantitative foundation before attempting valuation.
Output: **Business Quality Score (0–10)** Score reflects durability of competitive advantages, financial health, and consistency of returns.
Determine intrinsic and relative worth of the business.
Output: **Valuation Score (0–10)** — 10 = deep discount to intrinsic value; 5 = fair value; 0 = extreme overvaluation.
Understand what sophisticated market participants are signaling.
Output: **Market Signal Score (0–10)** — High = insider buying + institutional accumulation + positive management tone.
Identify current technical setup to optimize entry timing.
Output: **Technical Setup Score (0–10)** — Strong (8–10), Moderate (4–7), Weak (0–3).
Quantify downside risks and positioning pressure.
Output: **Risk Profile Score (0–10)** — Inverse of risk: Low risk = high score (8–10), High risk = low score (0–3).
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Full Report Score = Weighted Composite Component Weight Sub-Score (0-10) ───────────────────────────────────────────────────── Business Quality 25% [Phase 1 modules] Valuation 25% [Phase 2 modules] Market Signals 20% [Phase 3 modules] Technical Setup 15% [Phase 4 modules] Risk Profile 15% [Phase 5 modules] ───────────────────────────────────────────────────── COMPOSITE SCORE 100% X.X / 10 Composite Interpretation: 8.0–10.0 → Strong Buy (all signals aligned) 6.5–7.9 → Buy (most signals positive) 5.0–6.4 → Hold/Watch (mixed signals) 3.5–4.9 → Underweight (mostly negative signals) 0.0–3.4 → Sell/Avoid (strong negative signals)
Sub-score derivation:
Professional investment analysis frameworks for US stocks — works on every AI platform
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